![\"Chart:](\"https://blog.measurable.ai/wp-content/uploads/2026/08/07292026-HKTopTravel_Inline01-1600x1000.png\")
We tracked ~200,000 booking receipts by Hong Kong users across six major travel platforms 2019–2026, to tell us where Hong Kong travelers went.
\n\n\n\nIn the final quarter of 2023, two lines crossed in Measurable AI‘s e-receipt panel: for the first time, Hong Kong travelers booked more mainland hotel trips than Japanese ones. And then, they never uncrossed. Three years on it isn’t close — of every 100 trips out of the city, the mainland now takes 45. Japan keeps 19. This means nearly one in two trips by Hong Kong users in 2026Q2 end up in mainland hotels.
\n\n\n\nJapan remains Hong Kongers’ second destination, and its share has been flat since the crossover — with one exception. In the summer of 2025, an “earthquake prophecy” went viral: a Japanese manga, The Future I Saw, predicted a catastrophic earthquake would strike Japan that July. Our receipts show it landed. Japan’s share fell from 28% to 19% in a single quarter (the prophecy window ran April to July 5), while the mainland jumped from 34% to 41%. The prophecy failed to produce an earthquake. It did produce a travel statistic.
\n\n\n\nAs shown in our chart above, Mainland China overtook Japan as Hong Kongers’ top destination in late 2023 — and never looked back. These data points come from Measurable AI’s unique consumer e-receipt panel — actual booking confirmations received by Hong Kong–based users, covering OTA platforms including Agoda, Trip.com, Booking.com, Expedia, Klook, Airbnb, 2019 through 2026. Receipts are consolidated into trips (multiple bookings for one journey count once). Schedule a demo with us for exploring more travel industry route level granular datasets in Hong Kong, and other 20 markets we cover.
\n\n\n\nOur data also captures several checkpoints that accelerates the northbound trips in Hong Kong, including the Costco Shenzhen open (where now 14% of Costco Shenzhen members are from Hong Kong according to Bloomberg), and the Hong Kong cars go north policy. Since then there has been no single new catalyst — the habit sustains itself.
\n\n\n\n\n\n\n\nWhere exactly in “north” are Hong Kong users going? Shenzhen, the sleepover next door is #1 every single year — ~46% of mainland trips, median stay one night. The rest of the table is basically Guangdong: Zhuhai #2, and #3 Guangzhou. Although the majority choose the closest province, the beyond-Guangdong share is quietly rising (19% → 23%) over the last 3 years — users who started at the border towns and are traveling deeper.
\n\n\n\n![\"Top](\"https://blog.measurable.ai/wp-content/uploads/2026/08/07292026-HKTopTravel_Inline02-1600x1000.png\")
Every boom across the border has a casualty at home. In Hong Kong, it’s the staycation — the harbour-view weekend that, for two sealed-border years, was the only trip in town.
\n\n\n\nStaycations predate the pandemic: 19% of trips in 2019, one in five. Then the border closed and they became the entire market — 89% at the 2021 peak. Nine trips in ten. For two and a half years the staycation wasn’t just a trend; it was all of Hong Kong travel (quarantine-length stays excluded). Today it’s 13% — one trip in eight, below where it started. And the luxury end died fastest: HK$2,500-plus-a-night bookings are down 83%, budget stays 46%. What’s left is the cheap resort weekend, not the harbour-view splurge.
\n\n\n\n![\"Chart:](\"https://blog.measurable.ai/wp-content/uploads/2026/08/07292026-HKTopTravel_Inline03-1600x1000.png\")
Based on 2026 data from Measurable AI’s proprietary transactional e-receipt data, A Hong Kong staycation night costs around HK$811, while a mainland night costs around HK$653. Staying home costs 24% more per night than crossing the border.
\n\n\n\nLook at other hot destinations, Macao (HK$1,171) now runs 44% above a staycation; a Japan night is HK$1,187; Italy tops the table at HK$1,324. The gap is new. In the first half of 2023 a mainland night cost more than a Hong Kong one (≈HK$1,090 vs ≈HK$890). Three years of normalization cut the mainland price paid per night by ~40% — the weekend hop got cheaper as it got routine.
\n\n\n\n![\"Average](\"https://blog.measurable.ai/wp-content/uploads/2026/08/07292026-HKTopTravel_Inline04-1600x1000.png\")
According to Measurable AI‘s e-receipt data, mainland China now takes 45 of every 100 trips Hong Kong travelers make out of the city — up from 4 in early 2023, overtaking Japan for good in late 2023 and turning Guangdong into Hong Kong’s de facto holiday region, with Shenzhen the #1 destination every single year. The staycation era that once claimed nine trips in ten has ended below its pre-pandemic baseline, and the economics explain why it won’t reverse soon: a hotel night at home costs 24% more than one across the border. None of this came from surveys or checkpoint headcounts. It came from ~200,000+ real booking confirmations received by Hong Kong consumers across Agoda, Trip.com, Booking.com, Expedia, Klook — one slice of Measurable AI’s transactional e-receipt dataset, which tracks what consumers actually pay across food delivery, ride-hailing, e-commerce, streaming and travel. Hong Kong’s travel wallet is one question; the same panel answers thousands more — market share, pricing, retention, platform head-to-heads — in near real time.
\n\n\n\nSchedule a demo to explore what the receipts say about the markets you care about.
\n\n\n\nInterested in exploring the underlying datasets — for investment research, competitive intelligence, or AI training? Get in touch.
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai.
\n\n\n\n*The content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is NEEDED for any form of republication, modification, repost or distribution of the contents.
\n\n\n\nCheck out our annual reports: 2024 AltAsia Online Delivery Report, 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n ![\"Loading\"](\"https://blog.measurable.ai/wp-content/plugins/page-views-count/ajax-loader-2x.gif\")
Measurable AI’s e-receipt data shows in-app purchase volume declining as AI adoption explodes.
\n\n\n\nAt Measurable AI, we track consumer spending through transactional e-receipt data — the actual purchase confirmations that land in people’s inboxes after they buy something on the App Store, subscribe to a service, or make an in-app purchase. It’s one of the most granular, real-time windows into how consumers spend their money on digital products.
\n\n\n\nAccording to Measurable AI’s transactional e-receipts data, consumers are making fewer In-App Purchases in the past few years. Looking at Apple App Store in-app purchase (IAP) order volume among US consumers in our panel, the trend from 2021 through mid-2024 was remarkably stable, give or take seasonal fluctuations.
\n\n\n\nThen it started to slide.
\n\n\n\nBy mid-2025, monthly in-app purchase order volume had declined by roughly 25% compared to the 2021–2023 baseline. By early 2026, the decline had deepened to around 40%.
\n\n\n\n\n\n\n\n![\"Chart](\"https://blog.measurable.ai/wp-content/uploads/2026/03/image.png\")
The decline coincides almost perfectly with the explosive growth of AI tools. ChatGPT launched in November 2022, and has since rocketed past 900 million. Google Gemini went from zero to 750 million monthly active users. Claude, Cursor, Lovable, and a wave of other LLMs and AI-powered tools have all reached mainstream adoption in the same window.
\n\n\n\n\n\n\n\nApple’s publicly reported data shows overall US App Store consumer spending actually grew 18% year-over-year in 2025, hitting $55.5 billion. But app downloads in the US fell 4.2% in 2025 — the fifth consecutive year of decline. And the revenue growth is increasingly concentrated in subscriptions, particularly AI-powered ones. Generative AI app revenue alone tripled to over $5 billion in 2025, according to Sensor Tower. Strip out the AI category, and traditional app spending looks much flatter.
\n\n\n\nOur e-receipt data captures this nuance in a way that top-line revenue figures don’t. We’re seeing fewer individual purchase events — consumers are buying less frequently — even as the average order value creeps up. The average order value for Apple IAP is the US has increased from ~$10.59 to ~$16.86 between 2021–2023 and early 2026 — a 59% jump — even as order volume dropped 40% over the same period. Fewer $4.99 impulse buys on utility apps. More $20/month recurring subscriptions for ChatGPT, Claude, and Cursor.
\n\n\n\nThe app economy is restructuring.
\n\n\n\n\n\n\n\nWhen Andrej Karpathy coined the term “vibe coding” in early 2025, he was describing something that was already happening: people building functional software by describing what they wanted in natural language, letting AI handle the actual code. No programming skills required. Just vibes.
\n\n\n\nThe numbers behind this movement are staggering.
\n\n\n\n\n\n\n\n![\"Chart](\"https://blog.measurable.ai/wp-content/uploads/2026/03/Gemini_Generated_Image_mw4htemw4htemw4h-1080x1080.png\")
Lovable launched in November 2024 and hit 8 million users within a year. Cursor reached $1 billion ARR in 2025 — the fastest any SaaS product has hit that milestone. And Claude Code went from research preview to a $2.5 billion annualized run-rate in under a year.
\n\n\n\nTools like Lovable and Base44 are explicitly designed for non-technical users — marketers building landing pages, small business owners creating inventory trackers, students spinning up study tools. These are the same people who used to solve those problems by searching the App Store for a $4.99 app.
\n\n\n\nWhy pay for a generic habit tracker when you can describe exactly how you want one to work and have it built in minutes? Why buy a $9.99 recipe organizer when Claude Code can build one that matches your specific dietary restrictions and evolve the features along the way?
\n\n\n\nThe value proposition of pre-built apps was always convenience — saving you from having to build it yourself. But when building it yourself becomes easier than finding the right app in a sea of App Store listings…
\n\n\n\nConsumers are quietly spending differently:
\n\n\n\nThe transaction is moving upstream — from buying finished products to buying the tools that let you create your own. A monthly AI subscription replaces dozens of potential individual app purchases. The most downloaded app of the future might be the one that lets you never download another app again. Keep track of this shift with data, at Measurable AI.
\n\n\n\n\n\n\n\nOne thing we’ve learned building Measurable AI is that transactional e-receipt data captures behavioral shifts that traditional market research misses. E-receipts tell you what individuals actually did, transaction by transaction, in real time.
\n\n\n\nThis kind of granular consumer intelligence is increasingly valuable now for both companies and investors tracking product performance and competitive dynamics — Want to know how ChatGPT Plus subscriptions are trending against Claude Pro? Our data can show you.
\n\n\n\nThanks to LLMs the real world data gets more valuable now. As AI becomes more capable of reasoning about markets, consumer behavior, and economic trends, the quality of data they can access becomes a differentiator. Real-world transactional data — anonymized, aggregated, and structured — is the kind of grounding that turns traditional business insights into one that can make genuinely useful predictions about where consumer spending is headed.
\n\n\n\nInterested in exploring the underlying datasets — for investment research, competitive intelligence, or AI training? Get in touch.
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai.
\n\n\n\n*The content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is NEEDED for any form of republication, modification, repost or distribution of the contents.
\n\n\n\nCheck out our annual reports: 2024 AltAsia Online Delivery Report, 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n\n
It’s been a while since I last analysed Measurable AI’s UAE food delivery datasets and authored a piece on who is winning the UAE food delivery wars way back in 2022 (sheesh, how time flies!). In light of Talabat’s IPO last December (the biggest in the UAE for 2024) and further growth in Measurable AI’s Middle Eastern panels, I figured it’s about time I revisit the leading food delivery aggregator in the Middle East again.
\n\n\n\nTaking a deep dive into Measurable AI’s e-receipt food delivery dataset for UAE where Talabat is headquartered, I analysed our Talabat dataset for April 2025 (because we don’t publish the most recent data insights – contact us for the latest findings). My findings are as follows.
\n\n\n\nWhat Are The Most Popular Restaurants in the UAE Food Delivery Market?
\n\n\n\nLooking at our April data for Talabat UAE, the top three restaurants ranked in pecking order by Total Sales are McDonald’s, KFC and then Pizza Hut.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2025/09/06052025-UAEFoodDelivery_Inline01-1600x1000.png\")
If we rank these restaurants by total number of orders for the month of April, Mcdonald still ranks first, followed closely by KFC and then Albaik.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2025/09/06052025-UAEFoodDelivery_Inline02-1600x1000.png\")
Amongst the top three restaurants by sales, customers spend the most at McDonald’s at 69.22 AED (18.85 USD), followed by Albaik 65.89 AED (17.94USD), then KFC at 59.25 AED (16.13 USD). KFC customers spend about $2.72 USD less on average compared to McDonald’s customers on the Talabat platform.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2025/09/06052025-UAEFoodDelivery_Inline03REVISED-1600x1000.png\")
Diving further, I was curious to understand the percentage of sales derived from different categories such as fast food outlets, restaurants and supermarkets/pharmacies on Talabat for April 2025. Based on Measurable AI’s dataset, the bulk of revenues comes from restaurant orders at ~71.5%, with roughly ~23.8% of sales coming from the fast food chains and ~4.7% from supermarkets and pharmacies.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2025/09/06052025-UAEFoodDelivery_Inline05-1600x1000.png\")
Unsure of the taste buds amongst the UAE population, I was curious to understand what the top five selling items (by quantity ordered) were amongst the big international fast food chains Pizza Hut, McDonald’s and KFC. For Pizza Hut, the customisable My Box Pro meal set was the most popular item, while for McDonald’s it was the Happy Meal and for KFC the Twister Meal.
\n\n\n\nThe top five items ordered on Talabat delivery for April are visualised as follows:
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2025/09/06052025-UAEFoodDelivery_Inline06-1600x1000.png\")
What About the Sauces?
\n\n\n\nIn a similar vein, I wanted to understand the top selling sauces selected amongst the UAE population utilising Talabat’s services when they order fast food. Again, my findings are visualised below:
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2025/09/06052025-UAEFoodDelivery_Inline07-1600x1000.png\")
Doing a quick dive once again into Measurable AI’s Talabat dataset for UAE in April, our data reveals that McDonald’s offers the most diverse sauce selection, with Big Tasty Sauce (rich umami, smoky, savoury) being the clear winner. Albaik’s customers meanwhile preferred the Garlic Sauce followed by the Nugget Sauce (garlic mayo-based, slightly spicy). KFC Talabat patrons seem to show an equal liking between Tomia and Ranch sauces while Hardee’s preferred Ranch first then Mustard.
\n\n\n\nHow about Grocery Delivery?
\n\n\n\nCurious to move beyond the food delivery spectrum from restaurants, I wanted to see how groceries fare when it comes to delivery on Talabat. From our April dataset, when ranked by sales, the top performing online grocery by far is Talabat Mart at ~59.2%, then Lulu Hypermarket (~21.6%) and then Viva Supermarket (~7.9%) and Carrefour (~7.1%) come in quite close together.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2025/09/06052025-UAEFoodDelivery_Inline10-1600x1000.png\")
When ranked by total number of orders, the results are rather similar. Talabat Mart leads by far, accounting for 65.5% for April orders, then Lulu Hypermarket at ~16.1% (with a lot of catchup to do), while Viva Supermarket (~6.8%) and Carrefour (~6.6%) again coming in close together.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2025/09/06052025-UAEFoodDelivery_Inline11-1-1600x1000.png\")
I also took a quick look at the most popular items from the top four supermarkets to see what were the most popular items ordered online. Results are as follows.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2025/09/06052025-UAEFoodDelivery_Inline12-1600x1000.png\")
What Are The Peak Delivery Days and Times For Talabat Food Delivery?
\n\n\n\nFor Talabat, in the month of April, most orders happen on weekdays as opposed to weekends with the peak happening on Wednesday, followed by Tuesday.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2025/09/06052025-UAEFoodDelivery_Inline08-1600x1000.png\")
Most food delivery orders happen around the 6-10pm mark (dinner time so makes sense). The absolute peak was at 8pm. There is also a noticeable lull in early morning hours between 3am-8am which is pretty much expected. Ordering activity picks up again during lunch hours with a steady increase towards the evening peak.
\n\n\n\nSome other interesting observations:
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2025/09/06052025-UAEFoodDelivery_Inline09-1600x1000.png\")
I was also curious to take a look at the supermarket sector and how they performed on the food delivery apps in UAE. So on closer inspection, here are the top ranked supermarkets:
\n\n\n\nBy both total sales figures and number of orders, Talabat Mart leads the race, followed by Lulu Hypermarket and then Carrefour.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2025/06/06052025-UAEFoodDelivery_Inline17-1600x1000.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2025/06/06052025-UAEFoodDelivery_Inline18-1600x1000.png\")
It seems like Dubai water is the most popular item delivered on both Talabat Mart and Carrefour. For Lulu hypermarket and Al Maya, it is onions.
\n\n\n\nThe most popular items ordered (by number of orders) from each store are as follows:
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2025/06/06052025-UAEFoodDelivery_Inline07-2-1600x1000.png\")
If you are curious to find out about the latest market share between the key food delivery players in UAE (or MENA for the matter) or simply want to understand more about seasonal trends in the food delivery market, please feel free to reach out to Michelle at michelle@measurable.ai.
\n\n\n\nABOUT US
\n\n\n\nMichelle Tang is a Managing Director at Measurable AI who is responsible for new business and strategic partnerships at the firm. Curious as she is, she throughly enjoys analysing data to unearth interesting insights and trends that help drive more informed business decisions.
\n\n\n\nFor those interested in the food delivery sector for other regions, feel free to check out our latest annual report or request a full coverage list or sample datasets by writing to michelle@measurable.ai.
\n\n\n\nMeasurable AI is the leading granular e-receipt provider for consumer intelligence in the emerging markets with a core focus in South East Asia, Middle East, India and Latin America. We cover the digital economy with the major sectors being ride hailing, food delivery, e-commerce and digital payments.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
麥當勞香港最近推出的 Chiikawa 開心樂園餐活動，由 7 月底至 8 月掀起一波「可愛旋風」，每次玩具上架都吸引大批粉絲搶購、App 下單激增，庫存更是「限量發售、售完即止」，令粉絲們出現強烈的 FOMO（錯失恐懼症）。但當我們檢視 Measurable AI 獨家的消費者數據後，發現令人驚訝的是 —— Chiikawa 並不是人氣冠軍！
\n\n\n\n本地數據分析公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察，主要行業涵蓋美食外送、叫車服務、電商和電子支付等。
根據 Measurable AI 收集的麥當勞手機 App 網上商店訂單數據，以下是自活動推出以來，每款玩具在電子收據中出現的排名：
\n\n\n\n![\"Chiikawa](\"https://blog.measurable.ai/wp-content/uploads/2025/08/08152025_ChiikawaXMcDonalds_Inline01Chi-1600x1000.png\")
這個排行榜顯示了最近的麥當勞 Chiikawa 開心樂園餐人氣榜，Hachiware 小八（ハチワレ）奪得第一，緊隨其後的是 Usagi 兔哥（うさぎ）和 Rakko 海瀨師父（ラッコ）。而主角 Chiikawa 吉伊卡哇（ちいかわ）僅排第四，Momonga 飛鼠 （或小桃）（モモンガ）則位列第五。麥當勞採用分批上架策略，令粉絲持續保持期待感，亦能維持活動熱度及迴響。
麥當勞 Chiikawa 吉伊卡哇開心樂園餐活動尚未結束 —— 至 8 月底還有幾款玩具即將陸續登場。每次新角色玩具登場，都有可能改變排行榜的局勢，相信各位粉絲們會繼續搶購自己喜愛的角色玩具。Chiikawa 能否逆轉奪冠？還是會有其他角色搶走風頭？我們將持續觀察 Chiikawa 熱潮的發展，並在下一輪數據出爐後為大家揭曉！
\n\n\n\n\n\n\n\n![\"在](\"https://blog.measurable.ai/wp-content/uploads/2025/08/526652510_18523630765043587_5826623055596203816_n-2.jpg\")
另類數據公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察。我們專注於東南亞、中東、印度和南美等新興市場，主要行業涵蓋美食外送、叫車服務、電商和電子支付。
\n\n\n\nMeasurable AI 分享匿名消費者數據，並協助企業、投資者及研究機構了解並應對瞬息萬變的市場。通過收集海量的電子收據數據，我們整合出消費趨勢、市場佔有率變化，以及預測企業盈利及財務狀況。
\n\n\n\n如欲得到最新市場數據，歡迎以電郵 (business@measurable.ai) 聯絡我們。
\n\n\n\n閱讀其他麥當勞數據研究：McGriddles 市場趨勢分析、麥當勞咖啡退休報告、Measurable AI 「巨無霸外賣指數」
\n\n\n\n下載最新市場報告：2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023
\n\n\n\n*文章內容並非投資建議，僅供參考。如要引用、轉發或修改文章內容，需先獲得書面同意。如有傳媒查詢，請發送電郵至 press@measurable.ai。
\n\n\n\n\n\n\n\n更多數據分析文章：
\n\n\n\n\n\n\n\n美團KeeTa 開業首月表現如何？香港最新外賣市場數據：KeeTa VS Deliveroo VS Foodpanda
\n\n\n\n\n\n\n\n【外送市場】誰是漢堡神偷？實測 Foodpanda、Deliveroo 及麥麥送
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McDonald’s Hong Kong’s recent Chiikawa Happy Meal campaign set off a wave of kawaii mania from late July to August, with each toy release resulting in a surge of app orders, and plenty of FOMO (Fear of Missing Out) while stock lasted. But when we peeked at the numbers of McDonald’s online store receipts, one thing stood out — Chiikawa didn’t win the popularity crown.
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets including Southeast Asia, Latin America, Middle East, and Africa. We are well regarded for our comprehensive dataset across the digital economy including food-delivery, ride-hailing, and e-commerce.
Based on Measurable AI’s exclusive consumer panel, here’s how each toy ranked by total e-receipts since their release date:
\n\n\n\n![\"The](\"https://blog.measurable.ai/wp-content/uploads/2025/08/08152025_ChiikawaXMcDonalds_Inline01Eng-1600x1000.png\")
The table shows the recent leaderboard from McDonald’s Chiikawa Happy Meal campaign, with Hachiware (ハチワレ) taking the top spot, followed closely by Usagi (うさぎ) and Rakko (ラッコ). Chiikawa (ちいかわ) — landed in fourth place, while Momonga (モモンガ) rounded out the rankings. This table highlights the staggered rollout strategy that kept fans engaged over the campaign period.
The Chiikawa Happy Meal campaign isn’t over yet — several more toys are still waiting to make their debut until late August. With each release, the leaderboard could see a shake-up as fans rally behind their favourite characters. We’ll be watching closely to see if Chiikawa stages a comeback or if other characters take the spotlight. Stay tuned as we continue tracking the Chiikawa craze and share the next round of results.
\n\n\n\n![\"Among](\"https://blog.measurable.ai/wp-content/uploads/2025/08/526652510_18523630765043587_5826623055596203816_n-1.jpg\")
At Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including e-commerce, food delivery, ride-hailing and fintech.
\n\n\n\nCheck out our other McDonald’s blogs: How McGriddles Stacked Up in McDonald’s Hong Kong, McDonald’s Coffee “Retirement” Report , Measurable AI’s Big Mac Food Delivery Index.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
When Bukalapak stepped away from physical goods in 2025, analysts framed it as a “strategic pivot.” But here’s what they overlooked: Bukalapak wasn’t just losing—it was actually operating in a parallel universe.
\n\n\n\nAccording to Measurable AI’s analysis of millions of consumers’ transactional e-receipts: only 1% of Bukalapak’s users in 2024 overlapped with Shopee’s customer base. This wasn’t a battle for the same shoppers. Bukalapak’s core users lived in a different world than Shopee’s —more rural, cash-driven, with lower average order values (AOV).
\n\n\n\n![\"Measurable](\"https://blog.measurable.ai/wp-content/uploads/2025/06/06182025_IndonesiaEcommerce_Inline01-1600x1000.png\")
Traditional metrics like GMV and monthly active users are essential, but they only tell half the story. To truly understand a market like Indonesia—vast, fragmented, and pulsing with cash economies—you need to see the hidden signals. That’s where Measurable AI’s alternative data comes in. By aggregating and anonymizing millions of e-receipts across platforms, we don’t just count transactions—we map behavior. Alternative data lets you pinpoint which cities yield the highest cash-on-delivery ratios, which provinces exhibit the most loyal purchasing patterns, and which seller categories are gaining traction in overlooked pockets.
\n\n\n\nBefore we review more insights from Indonesia’s e-commerce market, don’t forget to schedule a demo with us.
\n\n\n\n\n\n\n\nIndonesia’s e-commerce is now a duopoly with conglomerates: Shopee, and Tokopedia-Tik Tok shop. Is there still room for mid-sized players? The answer seems to be yes. Even though the competition is really fierce right now in the Indonesia e-commerce space, the market size is still growing. Measurable AI’s e-receipt data panel with over 5 million consumers across the emerging markets, tracking data back to 2018 and shows a steady growing trend over the last 8 years, and a quite unpredicted market share change.
\n\n\n\n![\"Measurable](\"https://blog.measurable.ai/wp-content/uploads/2025/06/06182025_IndonesiaEcommerce_Inline02-1600x1000.png\")
Alongside market expansion, the AOV has been on the rise, based on Measurable AI’s data: the overall e-commerce AOV (average order value) in Indonesia E-commerce has grown 15% year-over-year as of Q1 2025, despite macro economic headwinds.
\n\n\n\n![\"Measurable](\"https://blog.measurable.ai/wp-content/uploads/2025/06/06182025_IndonesiaEcommerce_Inline03-1600x1000.png\")
Cash-on-delivery (COD) orders still represent a major payment method in e-commerce transactions in Indonesia, on Shopee over 30% of orders are transacted via cash, and concentrated primarily in areas where banking and digital-wallet adoption lag.
\n\n\n\n![\"Measurable](\"https://blog.measurable.ai/wp-content/uploads/2025/06/06182025_IndonesiaEcommerce_Inline04-1600x1000.png\")
Another surprising finding is that the e-commerce users in Indonesia are more loyal than you think. Measurable AI data shows that around 57% of Indonesia e-commerce users continue shopping on the same platform after six months. This data challenges the assumption that SEA shoppers are “promiscuous” bargain hunters. It also implies the importance of long-term engagement strategies in this region.
![\"Estimates](\"https://blog.measurable.ai/wp-content/uploads/2025/06/06182025_IndonesiaEcommerce_Inline05-1600x1000.png\")
In 2025 and beyond, the real winners will read between the receipts. They’ll ask: Who’s invisible in our data? Sometimes, the most lucrative opportunities exist precisely where everyone else has stopped looking. At Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative dataset across the digital economy. To unlock more detailed analysis including user loyalty/retention rate, overlap analysis, and incentive trend, please schedule a demo with us, and download our 2024 Digital Economy Annual Report.
\n\n\n\n\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai.
\n\n\n\nCheck out our annual reports: 2024 AltAsia Online Delivery Report, 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n*The content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is NEEDED for any form of republication, modification, repost or distribution of the contents.
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Trainers, ever wondered which Pokémon mobile game is raking in the most PokéCoins? While Pokémon GO is still the biggest hit in the franchise even after nearly a decade, other games like Pokémon Unite and Pokémon TCG Pocket have also found their own fans. Let’s check out the spending trends of Pokémon games and see which game is the true champion!
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for emerging markets including Southeast Asia, Latin America, the Middle East, and Africa. We are well regarded for our comprehensive dataset across the digital economy including food-delivery, ride-hailing, and e-commerce.
\n\n\n\n\n\n\n\nBased on our e-receipt panel, Pokémon GO has consistently generated the highest number of in-app transactions each quarter since its launch in 2016. While newer entries like Pokémon Unite and Pokémon TCG Pocket saw bursts of activity after launch, their momentum quickly tapered off.
\n\n\n\nTo make the comparison fair, we indexed each title’s receipt volume against GO’s launch quarter (Q3 2016 = 100). This makes clear how far the others stand from GO’s original scale.
\n\n\n\n![\"Pokémon](\"https://blog.measurable.ai/wp-content/uploads/2025/05/05052025-PokemonGames_Inline01-1600x1000.png\")
Pokémon TCG Pocket peaked at around ~20% of Pokémon GO’s benchmark, while Pokémon Unite never crossed the 10% mark, highlighting the fact that Pokémon GO’s early lead in user base and its location-based limited-time events gave it a competitive edge that’s hard to replicate.
\n\n\n\n\n\n\n\nWe also looked at average order value (AOV) on iOS App Store:
\n\n\n\n![\"Pokémon](\"https://blog.measurable.ai/wp-content/uploads/2025/05/05052025-PokemonGames_Inline02-1600x1000.png\")
Digging deeper into item-level purchases in Pokémon TCG Pocket, we analyzed six multilingual bundles and grouped them into three major character-themed offerings on Android side:
\n\n\n\n![\"Pokémon](\"https://blog.measurable.ai/wp-content/uploads/2025/05/05052025-PokemonGames_Inline03-1-1600x1000.png\")
The Gardevoir Bundle led the pack in popularity, followed closely by the Sinnoh League Champion — Cynthia Bundle. Despite Mewtwo’s legendary status, its themed bundle ranked lowest — possibly due to release timing or packaging format. This highlights how character loyalty can significantly influence in-game purchasing behavior.
\n\n\n\nFun Fact: Not all legendaries are equal — especially when it comes to sales performance.
\n\n\n\n\n\n\n\nAs the Pokémon mobile universe continues to expand, the battle for player spending is far from over. With new content drops, evolving monetization models, and region-specific promotions, each title has room to shift the leaderboard. Whether through high-value bundles or mass engagement strategies, the next breakout moment could come from anywhere—trainers and developers alike should keep their eyes on the map.
\n\n\n\nFollow our insights blog and newsletter for more hot topics. Click here if you are interested in the e-receipt insights of other games like Free Fire. Or if you are a hedge fund, corporation or in research and looking for the most up-to-date transactional data insights at business@measurable.ai.
\n\n\n\n\n\n\n\nAt Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including e-commerce, food delivery, ride-hailing and fintech.
\n\n\n\nCheck out our latest Reports: 2024 AltAsia Online Delivery Report, 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
On February 11th, it was announced that Duolingo’s mascot – our beloved owl Duo, is dead. In the official statement, Duolingo reveals that Duo has ‘probably died waiting for you to do your lesson’. There had been many speculations around the cause of death, but what if Duo has faked their own murder?
\n\n\n\nTo find out, Measurable AI’s data team reviewed this case with our unique email receipt data, because why not –
\n\n\n\n\n\n\n\nDuo has been sending emojis 🥺, 💔, 😢, 🥶, and 🤢 to language learners even after its ‘death’. Why are fellow language learners still getting messages of Duo’s distress? Is Duo still watching them? According to bird science, Duo should be resting in peace in bird heaven as all birds do. The only explanation is that Duo lives.
\n\n\n\nMeasurable AI’s data shows that among all the emojis Duo sent out, 34.4% is this one 🥺 (about to cry face). And 29.9% are the 💔 (heartbroken). After its death, the emojis Duo sent out remain similar breakdown, with 😢 (crying face) rising a little bit at 22%.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2025/02/before-death-1600x1000.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2025/02/after-death-1-1600x1000.png\")
Measurable AI observes in our panel that a significant amount of emails are messages from Duo. It is unlikely that the ghost of Duo is sending us emails because ghosts only send emails telepathically.
\n\n\n\nIn conclusion, our investigation results show that it is most possible that Duo lives and is well and fine. However, you should also probably do your lesson.
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative dataset across the digital economy. To unlock more detailed analysis including user loyalty/retention rate, overlap analysis, and incentive trend, please schedule a demo with us.
\n
We are excited to present our latest industry exploration—the 2020-2024 Middle East Online Delivery (Food + Grocery) Report. The Middle East, with its strategic location and growing consumer spending, has emerged as a crucial region for businesses venturing into the online delivery sector.
\n\n\n\nBuilding on years of growth in emerging markets, Measurable AI is proud to introduce our expanding Middle East consumer panel. This report highlights some of our most valuable datasets from the region, providing a comprehensive overview of the evolving online delivery landscape and key insights into market trends.
\n\n\n\nThis year’s report dives deep into several key markets such as Saudi Arabia, the United Arab Emirates, Qatar, Turkey, Egypt, and Kuwait. It is enriched with data extracted from our proprietary transactional e-receipt panel, which tracks real purchases from over 5 million consumers across emerging markets.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2025/01/20202024_Annual_Report_SNS-1600x900.png\")
Inside the report, we explore three key metrics: Consumer Demand (identifying the fastest-growing markets over the past five years), Inventive Trends (highlighting strategic shifts among key players), and Top Delivery Insights (including the most popular restaurant choices by country).The data spans 14 leading Online Delivery apps, including ToYou, Mr. Sool, HungerStation, Ninja, Keeta, Talabat, Deliveroo, CareemNow, Smiles, Noon, Snoonu, Yemeksepeti, Trendyol, and Migros.
\n\n\n\n“The Middle East has become a key market for Measurable AI, after Southeast Asia and Latin America. In 2024 alone, more than half of our clients have sought data from the Middle East markets. We anticipate a substantial increase in demand for alternative data in this region over the next two years,” says Charlie Sheng, co-founder of Measurable AI and co-author of the report.
\n\n\n\nTo stay ahead of the curve and get your hands on this resource, be sure to sign up today! Simply click the link below to receive your copy of the Middle East Online Delivery Report.
\n\n\n\nAt Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including e-commerce, food delivery, ride-hailing and fintech.
\n\n\n\nCheck out our annual reports: 2024 AltAsia Online Delivery Report, 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n\n\n\n\n
Measurable AI 很榮幸於今年香港舉辦的 DaLa Awards 2024 中榮獲兩大殊榮，包括最佳數據變現獎 (Best Data Monetization Award) 及最佳數據科技初創企業獎 (Best Data Tech Startup Award)。這兩項獎項不僅見證了我們於數據創新領域的卓越成就，更鞏固了 Measurable AI 作為香港及全球值得信賴的另類數據領導者地位。
\n\n\n\nDaLa Awards 2024 由數據素養協會 (Data Literacy Association) 主辦，並聯同香港科技園 (HKSTP) 合辦，旨在表彰數據行業中推動創新、透明度及負責任數據應用的領導者。作為業界盛事，大會吸引了眾多數據及科技界先鋒，共同慶祝將數據價值轉化為商業成果的卓越公司和個人。
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/12/KEN_1161-1600x1067.jpg\")
獲得這些大獎，充分體現了 Measurable AI 在數據服務領域的卓越表現。我們為企業提供來自新興市場的實時 SKU 級別精細洞察，覆蓋外賣、電子商務、金融科技等多個行業。我們的數據集深受全球客戶的信賴，從華爾街的金融機構到矽谷的科技公司，均依賴我們的數據進行精準決策。
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/12/KEN_1065-1600x1067.jpg\")
Measurable AI 行政總裁 Bryan Tsui表示：
\n\n\n\n「衷心感謝每一位信任我們的客戶。數據變現的一大核心應用，是通過真實的交易數據生成最新、最實時的獨家消費數據洞察，」
\n\n\n\n這些獎項肯定了我們團隊致力於提供優質、符合隱私合規的數據解決方案，幫助企業以靈活的方式運用數據。我們將繼續推動數據與人工智能創新，擴展數據生態圈，為全球客戶帶來更有價值的市場洞察。
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/12/IMG_6058-1600x1067.jpg\")
另類數據公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察。我們專注於東南亞、中東、印度和南美等新興市場，主要行業涵蓋美食外送、叫車服務、電商和電子支付。
\n\n\n\nMeasurable AI 分享匿名消費者數據，並協助企業、投資者及研究機構了解並應對瞬息萬變的市場。通過收集海量的電子收據數據，我們整合出消費趨勢、市場佔有率變化，以及預測企業盈利及財務狀況。
\n\n\n\n如欲得到最新市場數據，歡迎以電郵 (business@measurable.ai) 聯絡我們。
\n\n\n\n下載最新市場報告：2024 AltAsia Online Delivery Report, 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023
\n\n\n\n*文章內容並非投資建議，僅供參考。如要引用、轉發或修改文章內容，必須先獲得書面同意。如有傳媒查詢，請發送電郵至 press@measurable.ai
\n
We are proud to share that Measurable AI has been honored with two prestigious accolades at the DaLa Awards 2024 in Hong Kong: the Best Data Monetization Award and the Best Data Tech Startup Award. These achievements mark a significant milestone in our mission to deliver actionable consumer insights through anonymous e-receipt data, solidifying our position as a trusted leader in the data industry.
\n\n\n\nThe DaLa Awards 2024, hosted by the Data Literacy Association and co-organized by the Hong Kong Science and Technology Parks Corporation (HKSTP), aim to spotlight leaders in the data industry who drive innovation, transparency, and the responsible use of data. The event gathered pioneers in data and technology, celebrating companies and individuals making data literacy accessible and valuable.
\n\n\n\nWinning these awards underscores Measurable AI’s commitment to developing a decentralized data economy, powered by blockchain, that empowers businesses with real-time, SKU-level insights from emerging markets. Our datasets are trusted by clients around the globe—from Wall Street financial institutions to Silicon Valley tech firms—enabling them to make data-driven decisions based on actual transactional data. Updated weekly, these insights reveal granular details about consumer behavior across sectors such as food delivery, e-commerce, and fintech, helping businesses stay ahead of market trends.
\n\n\n\nMeasurable AI’s CEO, Bryan Tsui, expressed his gratitude to the community: “A heartfelt thank you to all our trusted clients. One of the most significant data monetization use cases at Measurable AI is generating consumer insights from actual transaction data points. The active participation of our users in the data ecosystem is what enables us to continuously enhance the value of our data and drive innovation.”
\n\n\n\nThese recognitions affirm our team’s dedication to delivering high-quality, privacy-compliant data solutions that help businesses harness the power of data responsibly. As we celebrate this success, we are energized to keep advancing data and AI innovation, expanding our ecosystem, and delivering valuable insights to our global clients.
\n\n\n\nThank you for being part of our journey. Here’s to more achievements and exciting innovations ahead!
\n\n\n\nAt Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including e-commerce, food delivery, ride-hailing and fintech.
\n\n\n\nCheck out our annual reports: 2024 AltAsia Online Delivery Report, 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n\n\n\n\n
It’s an art to give away incentives to consumers. Sometimes, even when two promotions offer the same value of savings, the way they are presented can profoundly change how consumers shop. At Measurable AI, we help our clients understand digital companies, such as e-commerce platforms, through data. Our proprietary, granular SKU-level transactional e-receipt data enables us to examine details such as promotions and discounts. In this blog, we’re showcasing our e-commerce datasets by analyzing the incentive strategies of rising e-commerce players Temu, Shein, along with incumbents Shopee and Lazada.
\n\n\n\nBoth Temu and Shein are known for their competitive pricing, yet their approaches to discounts are different. Our analysis from Measurable AI’s unique e-receipt panel reveals that Temu is offering exceptionally high discounts to consumers, with orders averaging between 60% and 75% off across all markets.
\n\n\n\nFor instance, in Chile, the average discount rate on Temu orders is 60%, whereas in Southeast Asian markets like Malaysia, it reaches approximately 68% per order. UK users enjoys the highest discount at around 75% off per order in first half 2024. It’s like Black Friday every day on Temu.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/09/09122024-SheinVsTemuVsTikTok_Inline02-1-1600x1000.png\")
Shein plays it differently by applying much smaller discounts compared to Temu, with orders typically receiving around 15% off the original listed prices. As illustrated in the chart below, in the US, the average discount rate on Shein orders is around 9%, one of the lowest across various markets in the first half of 2024. In most markets where Shein operates, the discount rate remains under 30%, with reductions ranging from 9% to 27%.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/09/09122024-SheinVsTemuVsTikTok_Inline01-1600x1000.png\")
Wait, but aren’t they both offering very competitive prices to consumers? Indeed, Temu and Shein’s different incentive strategies extend into their pricing techniques as well. The original price listed on Shein’s website is significantly high, which partly explains why their substantial discounts seem more alluring. According to Measurable AI’s granular e-receipt data, after discounts are applied, Shein’s users typically spend more than those shopping on Temu.
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/09/09122024-SheinVsTemuVsTikTok_Inline07B-1600x1000.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/09/09122024-SheinVsTemuVsTikTok_Inline08B-1600x1000.png\")
This spending pattern is especially pronounced in Middle Eastern countries such as Kuwait and Qatar, while in Asian markets like Japan, the Philippines, and Malaysia, the gap is smaller. In the first half of 2024, Shein users on average spent $58 in the US, $24 in Brazil, and $30 in Singapore; in contrast, Temu users spent approximately $40 in the US, $34 in the UK, and just $12 in the Philippines.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/09/09122024-SheinVsTemuVsTikTok_Inline03-1600x1000.png\")
Moreover, both companies apply discounts with remarkable precision, such as 26% off a $5.17 USD phone case or a staggering 96% off a $31.09 USD necklace. The prices listed on their products typically feature two decimal places, reflecting the exactness of their discount calculations. This approach to pricing has been validated by research, which indicates that consumers are more inclined to buy products with precise discounts. For example, precise discounts like 6.8% versus a round 7% actually drive more sales.
\n\n\n\nBoth Temu and Shein continue to heavily employ incentives, according to Measurable AI’s data. For instance, in the first half of 2024, around 59% of all Shein orders included incentives, while Temu saw an even higher rate, with about 85% of its orders featuring incentives.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/09/09122024-SheinVsTemuVsTikTok_Inline06-1600x1000.png\")
Will the incentive rate on these platforms slow down for incumbents? The answer varies. Our data from the same period reveals that incentive usage differs significantly among established players: approximately 35% of all Shopee orders included incentives, whereas for Lazada the rate is around 82%.
\n\n\n\nBy understanding the nuances of these strategies, e-commerce platforms can better optimize their promotion campaigns. At Measurable AI, we remain committed to providing consumer insights with actual purchase data, helping clients to stay ahead in a competitive environment. To unlock more detailed analysis for more e-commerce players including Tik Tik Shop, Flipkart and metrics including user loyalty/retention rate, overlap analysis, please schedule a demo with us, and download our 2024 Digital Economy Annual Report.
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai.
\n\n\n\nCheck out our annual reports: 2024 AltAsia Online Delivery Report, 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n*The content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is NEEDED for any form of republication, modification, repost or distribution of the contents.
\n
上月香港麥當勞推出 McGriddles (楓糖班戟漢堡系列)，試食首日不少 McDonald’s 分店皆售罄。熱潮背後，本地市場調查研究公司 Measurable AI 深入分析麥當勞 App 手機訂單和 Foodpanda 訂單數據，為大家整合 McGriddles 登陸香港的市場反應，例如銷量趨勢、港人點餐高峰時段和平均消費額等圖表。
\n\n\n\nMeasurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察，主要行業涵蓋美食外送、叫車服務、電商和電子支付等。
\n\n\n\n\n\n\n\n麥當勞於 7 月 27 日至 29 日首推 McGriddles 全日供應試食階段，顧客須以麥當勞 App 下單，此期間的整體手機訂單量達到高峰；首日 7 月 27 日的訂單量比新產品推出前的訂單量高出一倍。
\n\n\n\n試食階段於 7 月 29 日提早結束後， McGriddles 於 8 月 5 日正式登陸全線麥當勞餐廳。從 Measurable AI 的電子收據數據可見，8 月 5 日至 11 日的整體手機訂單量回升，但未達到試食階段的訂單量高位。這可能是由於 McGriddles 供應時間由全日縮減至早餐時段，而且顧客可以直接在餐廳點餐，變相不一定使用 App 下單。
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2024/08/08232024-McGriddles_Inline01-1600x1000.png\")
Measurable AI 分析過麥當勞 App 的手機訂單數據，發現試食階段首日的下單高峰時間為上午 9 時至 11 時，不少人選擇在星期六率先享用 McGriddles 早餐。有趣的是，下午 6 時也出現了訂單高峰，一些忠實粉絲甚至在凌晨 4 點就下單，以便第一時間品嚐萬眾期待的 McGriddles。
\n\n\n\n下圖顯示了 7 月 27 日至 29 日試食階段期間每小時的 McGriddles 訂單量，並分別統計了「楓糖班戟豬柳蛋漢堡」和「楓糖班戟豬柳漢堡」的銷量。毫無懸念，楓糖班戟豬柳蛋漢堡佔大多數，佔 79.98%；楓糖班戟豬柳漢堡則佔 20.02%。
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2024/08/08232024-McGriddles_Inline02-1600x1000.png\")
Measurable AI 的分析顯示，在試食階段，McGriddles 訂單佔所有麥當勞 App 手機訂單約四分之三。雖然在正式推出的第一週，McGriddles 訂單佔比下降至約四成，但此新產品系列仍佔據著不容忽視的市場份額，顯示 McGriddles 飽受麥當勞 App 用戶歡迎。
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2024/08/08232024-McGriddles_Inline03_REVISED_compressed-1600x1000.jpg\")
Foodpanda 作為麥當勞 McGriddles 推廣期間的獨家外送平台，更請來日本天王木村拓哉擔任廣告男主角，引起不少話題。在外賣平台之間的激烈競爭中，McGriddles 對 Foodpanda 訂單的影響有多大？
\n\n\n\nMeasurable AI 用最新、最實時的訂單數據為大家剖析。對比 McGriddles 獨家登陸 Foodpanda 前後兩星期的數據，可見 Foodpanda 上的麥當勞訂單量高出三倍有多，含有 McGriddles 產品的訂單佔所有 Foodpanda 麥當勞訂單的 88%。
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2024/08/08232024-McGriddles_Inline04REVISED3-1600x1000.png\")
在麥當勞 App 或餐廳店內，楓糖班戟漢堡的套餐價格為 $35 至 $38；而在 Foodpanda 上則介乎於 $51 至 $54，當中包含額外的三選一配菜(脆薯餅、粒粒粟米杯或藍莓高鈣低脂乳酪)。
\n\n\n\nFoodpanda 亦推出了獨家優惠，例如 $100 以上 McGriddles 訂單自動減 $20，以及 $150 以上訂單可使用優惠碼 MCD20 再享 $20 折扣。這些定價策略如何影響訂單消費額？
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2024/08/08232024-McGriddles_Inline06_compressed-1600x1000.jpg\")
Measurable AI 透過分析 McGriddles 正式推出首週 (8 月 5 日至 11 日) 的訂單數據，觀察到麥當勞 App 手機訂單主要集中在上午 7 時至 11 時，平均訂單消費額為 $49。
\n\n\n\n同一星期，Foodpanda 全日供應麥當勞 McGriddles 外賣，訂單時間分佈更廣，平均訂單消費額為 $112。
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2024/08/08232024-McGriddles_Inline05_compressed-1600x1000.jpg\")
麥當勞在香港推出 McGriddles 不但引起港人迴響，還明顯地影響了麥當勞 App 手機訂單和 Foodpanda 的訂單趨勢。新產品將怎樣左右香港外送平台的競爭格局？
\n\n\n\nMeasurable AI 所收集的精細數據能助您了解數位經濟市場變化並發掘新策略，如您有興趣了解電子收據數據如何反映市場趨勢，歡迎聯繫 Measurable AI。
\n\n\n\n另類數據公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察。我們專注於東南亞、中東、印度和南美等新興市場，主要行業涵蓋美食外送、叫車服務、電商和電子支付。
\n\n\n\nMeasurable AI 分享匿名消費者數據，並協助企業、投資者及研究機構了解並應對瞬息萬變的市場。通過收集海量的電子收據數據，我們整合出消費趨勢、市場佔有率變化，以及預測企業盈利及財務狀況。
\n\n\n\n如欲得到最新市場數據，歡迎以電郵 (business@measurable.ai) 聯絡我們。
\n\n\n\n下載最新市場報告：2024 AltAsia Online Delivery Report, 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023
\n\n\n\n*文章內容並非投資建議，僅供參考。如要引用、轉發或修改文章內容，必須先獲得書面同意。如有傳媒查詢，請發送電郵至 press@measurable.ai
\n\n\n\n更多數據分析文章：
\n\n\n\n麥當勞咖啡退休數據 ☕️ 港人食 McDonald’s 最常飲呢樣嘢！(上)
\n\n\n\n麥當勞人氣食物排行榜公開！麥樂雞僅排第二？港人 McDonald’s 點餐數據 (下篇)
\n\n\n\n兩成人叫清湯米線、走韭多過走芽？一文看香港人食譚仔及三哥外賣習慣
\n\n\n\n\n\n\n\nKeeTa 崛起！2024 香港外賣平台市場最新數據 Foodpanda VS Deliveroo VS KeeTa
\n
The much-anticipated arrival of McDonald’s McGriddles has taken Hong Kong by storm. Curious about the order trends during the trial phase? Wondering how McGriddles’ exclusive launch on Foodpanda impacted order volume? Measurable AI digs into the data to reveal the scoop on Hongkongers’ McGriddles obsession.
\n\n\n\nWith our proprietary transactional e-receipts data, Measurable AI analyzed McDonald’s mobile app orders and Foodpanda orders to reveal the consumer insights behind the sweet, savory McGriddles craze.
\n\n\n\n\n\n\n\n\n\n\n\nThe launch of McGriddles had a noticeable impact on McDonald’s overall mobile order trends in Hong Kong. During the trial phase from July 27th to 29th, orders peaked significantly, with July 27th seeing double the order volume compared to the pre-launch period. While the official launch from August 5th to 11th saw a steady increase in order volume, it didn’t quite reach the trial period’s heights. This could be due to the limited availability during breakfast hours and the fact that customers could also order in restaurants, thereby making it less exclusive to McDonald’s app.
\n\n\n\nDuring the trial phase from July 27th to 29th, McGriddles were available 24 hours a day through McDonald’s mobile app. The data reveals that the peak ordering time was between 9 AM and 11 AM on the first day, as many Hongkongers opted for McGriddles as their Saturday breakfast choice.
\n\n\n\nInterestingly, there was also a spike at 6 PM, with some dedicated fans placing orders as early as 4 AM to be among the first to try this much-talked-about item.
\n\n\n\nFun fact: 80% of McGriddles orders included an egg!
\n\n\n\nMeasurable AI’s analysis shows that during the trial phase, McGriddles made up an impressive 74% of all McDonald’s app orders. Although this share decreased to around 40% during the first official week of launch, McGriddles still held a significant portion of the market, demonstrating its popularity among McDonald’s app users.
\n\n\n\nFoodpanda, the exclusive delivery partner for McGriddles, saw a significant impact from the launch. Featuring Japanese megastar Takuya Kimura, the McGriddles campaign resulted in McDonald’s order volume on Foodpanda more than three times higher compared to the previous week, which is a fourfold increase. McGriddles orders accounted for 88% of all McDonald’s orders on Foodpanda.
\n\n\n\nPrice differences between platforms were also significant. On McDonald’s app or in-store, McGriddles meals were priced between $35 and $38, while on Foodpanda, they ranged from $51 to $54, with an additional side item included. Foodpanda further incentivized orders with promotions like $20 off purchases over $100 and an extra $20 discount with promo codes for orders over $150. But how did these pricing strategies impact order values?
\n\n\n\nMeasurable AI’s data reveals that McDonald’s app orders were most frequent between 7 AM and 11 AM, with an average order value of $49. In contrast, Foodpanda orders, available 24/7 during the first week of the McGriddles launch, showed a broader distribution and a much higher average order value of $112, reflecting the larger nature of delivery orders and the platform’s higher pricing.
\n\n\n\nThe McGriddles launch in Hong Kong has not only stirred excitement among consumers but has also noticeably influenced order trends on both McDonald’s app and Foodpanda. How will this new product affect the competitive landscape of Hong Kong’s food delivery platforms? Could it shift the balance in the ongoing race between food delivery giants?
\n\n\n\nIf you’re curious about how e-receipt data could reveal deeper insights into these trends, connect with Measurable AI today. Our detailed, actionable insights from granular data can help you understand the shifts in the market and uncover new strategies. What new opportunities could you discover with a closer look at Hong Kong’s food delivery data? The possibilities are yours to explore.
\n\n\n\nFollow our insights blog and newsletter to keep up with this heated competition. Or contact us at business@measurable.ai if you are a hedge fund, corporation or in market research and looking for the most up-to-date transactional data insights for the digital economy.
\n\n\n\nAt Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including e-commerce, food delivery, ride-hailing and fintech.
\n\n\n\n\n\n\n\nCheck out our annual reports: 2024 AltAsia Online Delivery Report, 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n\n\n\n\n\n\n\nRead More:
\n\n\n\nHong Kong Food Delivery Market: A New Triopoly
\n\n\n\nWatch Out! KeeTa’s Rapid Rise in Hong Kong
\n\n\n\nAll Eyes on Burgers in Hong Kong
\n\n\n\n\n\n\n\nFlavor Meets Data 🍔 Unveiling McDonald’s Hong Kong Order Habits (Part 2)
\n\n\n\nHong Kong’s Noodle Rhapsody: Food Delivery Insights on TamJai and SamGor
\n\n\n\n\n
過去數年，本港外送市場一直由 Foodpanda 和 Deliveroo 主導；直到 2023 年美團旗下 Keeta 進軍香港，打破了兩家獨大的市場局面。Measurable AI 密切關注香港外賣平台市場，利用獨家電子收據數據，提供最新、最實時的市場分析。
\n\n\n\n
根據 Measurable AI 最新發佈的 2024 數字經濟年度行業報告，香港外賣及生活百貨送遞的市場需求在過去五年持續增長。參考下圖，自2023年第一季到2024年第一季以來，訂單量年增率超過四成，商品交易總額 (GMV) 年增約 22%。
\n\n\n\n自從 Keeta 在 2023 年 5 月攻港後，我們的消費數據顯示 Keeta 重新分配了現有競爭者的部分市佔率；與此同時，香港整體外賣消費及市場需求維持穩健上升趨勢。
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/05/04242024-KeetaHK_Inline06-2-1600x1000.png\")
綜觀香港三間外賣平台的消費數據，按所有服務（外賣送遞、自取及生活百貨）的市場佔有率來看，Foodpanda 在訂單量和商品交易總額 (GMV) 均保持第一。
\n\n\n\nDeliveroo 的市佔率在過去一年沒有太大變化，維持在 30% 左右。
\n\n\n\nKeeta 近期取得了進軍香港以來最大幅度的增長。截至2024年第一季，按訂單量計算，Keeta 在所有服務（外賣送遞、自取及生活百貨）的市場份額已增至 32%，按商品交易總額 (GMV) 計算則為 27%。
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/05/04242024-KeetaHK_Inline02-1-1600x1000.png\")
Keeta 目前未有提供生活百貨配送服務，而外賣自取服務則在 2024 年 2 月底才推出。Measurable AI 的電子收據數據顯示，截至2024年第一季，Keeta 在外賣送遞層面（不計自取及生活百貨）按商品交易總額 (GMV) 計算的市佔率達 32%，按訂單量計算的市佔率達 43%。
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/05/04242024-KeetaHK_Inline01-1-1600x1000.png\")
Measurable AI 最新的 2024 數字經濟年度行業報告顯示，自 Keeta 加入香港外賣平台競爭之後，各外賣平台的優惠攻勢在2023年第四季開始迅速回升。截至2023年12月，超過六成訂單都使用了優惠，這優惠比例明顯高於 Measurable AI 報告中其他地區的外賣市場。(按此下載完整報告)
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2024/05/04242024-KeetaHK_Inline07-1600x1000.png\")
與 Keeta 的優惠減價策略不同，Foodpanda 和 Deliveroo 過去一年的市場推廣企劃大力鼓勵消費者選擇外賣自取。香港外賣平台的自取訂單迅速增長，在 2023 年，Foodpanda 約有 35% 的訂單為外賣自取；Deliveroo 的外賣自取訂單則從 2023年第一季的 15% 大幅上升至 2023年第四季的 40% 以上。
\n\n\n\n\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/05/04242024-KeetaHK_Inline03-1-1600x1000.png\")
值得留意是，外賣自取訂單的競爭也相當激烈。就自取訂單的市場份額而言，Foodpanda 依然保持領先，與此同時，Deliveroo 迅速增長，自取訂單市場份額由 2023年第一季的 14% 躍升到 2024年第一季的 40%。
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/05/04242024-KeetaHK_Inline08-compressed-1600x1000.jpg\")
Foodpanda 和 Deliveroo 大力推廣外賣自取，其中一些促銷活動更提供半價優惠予外賣自取顧客，這策略大幅降低外賣平台的營運成本。
\n\n\n\nMeasurable AI 的消費數據顯示，三間外賣平台的優惠攻勢令平均單價 (AOV) 大幅降低。當中 Keeta 的平均單價最低，為 102 元；Foodpanda 和 Deliveroo 的平均單價則介乎於 170 至 180 元之間。
\n\n\n\n\n\n\n\n在內地面臨抖音等強勁競爭對手，仍無阻美團在國際市場擴展。上月，在 Keeta 攻港一週年之前，美團宣佈進軍沙地阿拉伯。
\n\n\n\n以下是 Keeta 攻港一年的概況，以及每月的增長趨勢：
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/05/04242024-KeetaHK_Inline05-2-1600x1000.png\")
敬請留意 Measurable AI 的數據分析文章，以最新、實時數據了解 Keeta、Foodpanda和 Deliveroo 之間的外賣平台市場競爭。
\n\n\n\nMeasurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察，主要行業涵蓋美食外送、叫車服務、電商和電子支付等。 如欲得到最新市場數據，歡迎以電郵 (business@measurable.ai) 聯絡我們，以及下載最新發佈的 2024 數字經濟年度行業報告。
\n\n\n\n\n\n\n\n另類數據公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察。我們專注於東南亞、中東、印度和南美等新興市場，主要行業涵蓋美食外送、叫車服務、電商和電子支付。
\n\n\n\nMeasurable AI 分享匿名消費者數據，並協助企業、投資者及研究機構了解並應對瞬息萬變的市場。通過收集海量的電子收據數據，我們整合出消費趨勢、市場佔有率變化，以及預測企業盈利及財務狀況。
\n\n\n\n如欲得到最新市場數據，歡迎以電郵 (business@measurable.ai) 聯絡我們。
\n\n\n\n下載最新市場報告：2024 AltAsia Online Delivery Report, 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023
\n\n\n\n*文章內容並非投資建議，僅供參考。如要引用、轉發或修改文章內容，必須先獲得書面同意。如有傳媒查詢，請發送電郵至 press@measurable.ai
\n
Hong Kong’s food delivery market was a three-way battle among Foodpanda, UberEats, and Deliveroo from 2018 to 2021. After UberEats exit, the market became a duopoly between Foodpanda and Deliveroo for the ensuing two years. In 2023, Meituan’s Keeta entered the scene, once again making it a triopoly battlefield. At Measurable AI, we continuously monitor the market change in the online delivery industry with our proprietary transactional e-receipts data. Subscribe to our newsletter to get updates every month.
\n\n\n\n According to Measurable AI’s latest AltAsia online delivery report, the market demand in Hong Kong online delivery for food and groceries has continued its robust growth throughout the past five years. From 1Q23 – 1Q24, there has been an impressive growth in order volume, up by over 40% year-over-year (YOY), and the gross merchandise value (GMV) has witnessed a healthy increase of approximately 22% YOY, based on observed sales from Measurable AI’s transactional e-receipt panel.
\n\n\n\nNew challenger Keeta entered the Hong Kong market in May 2023. Our data reveals that its entry has redistributed some of the market share from existing competitors; yet the overall consumption trends and market demand in Hong Kong have maintained a solid uptrend.
\n\n\n\n\n\n\n\nAmongst the current three players in Hong Kong, when we look at the market share in ALL SERVICES (food + grocery + delivery + pickup), Foodpanda remains No.1 by both order volume and GMV. Deliveroo’s marketshare didn’t grow too much in the past year, but it has managed to maintain its position from around a year ago, hovering at around 30%. Keeta has achieved the most substantial growth since its entry into Hong Kong. By 1Q24, Keeta’s market share by order volume in ALL SERVICES has grown to 32%, and by GMV it stands at 27%.
\n\n\n\nCurrently, Keeta does not offer grocery delivery and only recently introduced the pickup service in late February 2024. Measurable AI’s e-receipts panel shows that, as of 1Q24, Keeta’s market share in FOOD DELIVERY ONLY—excluding grocery and pickup services—reached 32% by GMV and a notable 43% by order volume.
\n\n\n\nIn Measurable AI’s latest 2024 AltAsia Online Delivery Report, our data reveals that the incentive trend in the Hong Kong online delivery market started to rise quickly again in 4Q23, due to the heated competition from the new entrant Keeta. As of December 2023, we observed that over 60% of the orders in Hong Kong came with promotions. This is significantly higher than the other AltAsia markets mentioned in the report (download the full report here).
\n\n\n\nUnlike Keeta’s traditional subsidy-heavy strategy, Foodpanda and Deliveroo are working on massive campaigns to encourage consumers to opt for self-pickup. In Hong Kong, self pick-up orders are growing very quickly on the food delivery platforms. Foodpanda saw approximately 35% of its orders in 2023 as pickups. As for Deliveroo, when it comes to self pick-up, there has been a substantial rise from about 15% in 1Q23 to over 40% by 4Q23.
\n\n\n\nIt’s worth noting that the competition can also be heated in terms of the pickup orders. As we look into the market shares for pickup orders only, we noticed that Foodpanda remained strong in its leading position for pickup orders. Meanwhile, Deliveroo is catching up quickly from around 14% of the market share in 1Q23 to around 40% in 1Q24.
\n\n\n\nIn some of these campaigns, users can enjoy up to 50% off when they pick up orders. This approach has a much lower operational cost for the platforms yet without taking away too much of the takerate from each order.
\n\n\n\nOur data also indicates that the incentive strategies, including Foodpanda and Deliveroo’s pickup orders and Keeta’s subsidy-heavy orders, resulted in a much lower Average Order Values (AOV). When considering the overall AOVs, Keeta’s AOV in Hong Kong remains the lowest at around HKD 102 (~ USD 13). In contrast, despite the increasing volume of pickup orders, the AOV for Foodpanda and Deliveroo remains robust, typically ranging between HKD 170 and 180 (~ USD 21.50 to USD 23) throughout the year.
\n\n\n\n\n\n\n\nDespite the stiff competition and threat from domestic competitor Douyin, Meituan’s international expansion continues unabated. Last month, Meituan announced its expansion into Saudi Arabia, right before Keeta’s first anniversary in Hong Kong. Here’s a snapshot of Keeta’s first year in Hong Kong (and a monthly trend of its growth):
\n\n\n\nStay tuned as we continue to monitor the Hong Kong food delivery race between Keeta, Foodpanda, and Deliveroo in our upcoming blog post with Measurable AI’s unique consumer panel.
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative dataset across the digital economy, particularly for our consumer insights relating to the food delivery industry. To unlock more detailed analysis including user loyalty/retention rate, overlap analysis, and incentive trend, please schedule a demo with us, and download our 2024 Digital Economy Annual Report.
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai.
\n\n\n\nCheck out our annual reports: 2024 AltAsia Online Delivery Report, 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n*The content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is NEEDED for any form of republication, modification, repost or distribution of the contents.
\n
Indonesia has emerged as Southeast Asia’s largest online food delivery market, with its huge population and growing adoption in digital economy. At Measurable AI, we build and own a unique consumer panel and are the largest proprietary e-receipt data provider for online delivery for the emerging markets including Indonesia. Thanks to our unique dataset, we are able to look deeper into not only the macro industry trends, and also the fun details behind consumers’ evolving behaviour on food, delivery service and more.
\n\n\n\nTo start, let’s take a look at the Indonesian online delivery market as a whole. According to Measurable AI’s transactional data on Indonesia’s major on-demand food delivery companies, the order volume has shown steady growth over the last two years, boasting an impressive YOY growth rate of 18.2%.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/04/03152024-IndonesianFoodFun_Inline01-1600x1000.png\")
Furthermore, amidst the pressure for profitability for online delivery companies, the Average Order Value (AOV) after incentives in the Indonesian food delivery sector has also experienced a modest rise, moving from approximately 63,000 to over 68,000 IDR. For more detailed information on the overall market demand and consumption trend from 2019 to 2014, sign up for Measurable AI’s latest digital economy report.
\n\n\n\nIndonesian food is as diverse as its islands. Our data reveals that on platform GrabFood Indonesia, a huge variety of small restaurants contribute the majority of the orders and GMV for the online deliveries in Indonesia. In January 2024, around 75% of the orders came from small merchants (independent restaurant owners), while the rest from local or global franchise restaurants such as Mie Gacoan, KFC. This is an interesting finding because in many of the markets that Measurable AI tracks, big franchise restaurants especially fast food restaurants usually contribute the most of the orders and value on food delivery platforms, but in Indonesia it’s the other way around.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/04/03152024-IndonesianFoodFun_Inline02-1600x1000.png\")
Our granular food delivery dataset also shows that among the big franchise restaurants on GrabFood platform, the most popular one is Mie Gacoan. Other popular franchises include local restaurants Richeese Factory, Kopi Kenangan, HokBen and Solaria. It’s also noted that Chinese tea brand Mixue also makes the top 10 most ordered franchise restaurants on Grab in the same time period, and shares similar volume as local coffee chain Kopi Kenangan.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/04/03152024-IndonesianFoodFun_Inline03-1600x1000.png\")
At Measurable AI, we’re not just data geeks, we’re foodies too. Lastly, after analysing the item-level granular dataset, we now announce the list of the most ordered dishes! Regardless of the restaurants, these are the mostly ordered food items by Indonesian food delivery users. Can you guess the top 3 Hidangan Teratas di Indonesia?
\n\n\n\nTa-da! As listed in the chart below, the top 3 dishes in Indonesia on food delivery are Chicken, Dish with rice, and Noodles (Ayam, Nasi dan lauk, and Mie). So, the next time you’re in Indonesia, you know what to order.
\n\n\n\nStay hungry, and keep ordering.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/04/03152024-IndonesianFoodFun_Inline04-1600x1000.png\")
To unlock more detailed user behaviour analysis including user loyalty/retention rate, overlap analysis, and incentive trend, please schedule a demo with us.
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai.
\n\n\n\nAt Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including travel, e-commerce, digital entertainment, food delivery and ride-hailing.
\n\n\n\nCheck out our latest reports: 2024 Digital Economy Annual Report, 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n\n\n\n\n
美團 (3690.HK) 旗下外賣平台 Keeta 進軍香港短短六個月，已掀起本港外賣市場佔有率變化。截至2023年12月，按商品交易總額 (GMV) 計算，Keeta 的市佔率已達約 21%。於短時間內以高額優惠和補貼作用戶增長策略，未來將如何繼續從競爭激烈的外送市場分一杯羹？
\n\n\n\n自去年5月 Keeta 正式開業以來，Measurable AI 一直密切關注其市場動向 (詳見 Keeta 首月市佔率分析文章)，今次我們將繼續運用獨家電子收據數據，轉化成詳盡的市場分析，為大家揭示更多關於香港外賣平台競爭的消費洞察。
\n\n\n\nMeasurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察，主要行業涵蓋美食外送、叫車服務、電商和電子支付等。
\n\n\n\n▶ 【2024年5月更新】香港外賣平台市場：三分天下局面重現
\n\n\n\n\n\n\n\n截至2023年第四季，Keeta 在訂單量層面擁有顯著的市場份額，但由於其平均單價 (AOV) 相對較低，在商品交易總額 (GMV) 層面則佔據較少的市場份額。
\n\n\n\n回到半年前，Keeta 在營運初期的三個月內僅佔不足於 5％ 的市佔率，當時其服務範圍未擴展至全港。其後幾個月是一個轉捩點，在12月，以外賣送遞訂單層面計算 (不包括外賣自取及生活百貨)，Keeta 的市佔率躍升至 37％。
\n\n\n\n必須要強調，兩大競爭對手 Foodpanda 和 Deliveroo 皆提供外賣自取及生活百貨服務，這些服務對其總訂單量及商品交易總額 (GMV) 有可觀的貢獻。如計及所有業務，按商品交易總額 (GMV) 計算，Keeta 在2023年第四季的市佔率約為 15%。在12月，同樣以所有業務的商品交易總額 (GMV) 計算，Foodpanda 以 54% 市佔率領先，Deliveroo 約為 25%，Keeta 則增長至 21%。
\n\n\n\n\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/01/01092024-KeetaHK_Inline02-1-1600x1000.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/01/01092024-KeetaHK_Inline01-REVISED-1-1600x1000.png\")
![\"價格戰：KeeTa](\"https://blog.measurable.ai/wp-content/uploads/2024/01/01092024-KeetaHK_Inline07-1600x1000.jpg\")
港人對 Keeta 的「十億激賞」、免運費等促銷活動應該不陌生，在進取的營銷策略下，Keeta 的平均單價 (AOV) 比 Foodpanda 和 Deliveroo 明顯較低。Measurable AI 的獨家數據顯示，Keeta 的外賣送遞平均單價為 102 元，其競爭對手的外賣送遞平均單價則介乎於 170 至 180 元之間。值得留意的是，Keeta 的外賣送遞平均單價僅略高於 Foodpanda 和 Deliveroo 的外賣自取平均單價。
\n\n\n\n\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/01/01092024-KeetaHK_Inline04-1-1600x1000.png\")
與市場上的競爭對手相比，Keeta 目前尚未提供外賣自取服務、生活百貨以及會員制度。雖然 Keeta 於短時間內成功迅速增長其外賣食品送遞業務，但也必須考慮到其他業務層面。過去幾年間，Foodpanda 和 Deliveroo 已在生活百貨業務上建立了重要地位，並開設 Pandamart 和 Deliveroo Hop 實體店，及與不同商家合作。根據 Measurable AI 的訂單數據，Foodpanda 的生活百貨業務佔其商品交易總額 (GMV) 約 10%。可見這業務領域絕對不能忽視。
\n\n\n\n\n\n\n\n![\"Food](\"https://blog.measurable.ai/wp-content/uploads/2024/01/01092024-KeetaHK_Inline06-1600x1000.png\")
外賣自取服務是另一個重要的領域。疫情後，外賣自取服務廣受用戶歡迎並持續增長。在外賣平台的角度而言，自取服務令其營運成本大幅減低，既可以取得可觀的訂單量，又可以留住忠誠用戶習慣性地光顧。
\n\n\n\n\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/01/01092024-KeetaHK_Inline03-1-1600x1000.png\")
![\"Pickup](\"https://blog.measurable.ai/wp-content/uploads/2024/01/01092024-KeetaHK_Inline05-1600x1000.png\")
說到會員優惠，Keeta 目前尚未推出會員制度。Foodpanda 和 Deliveroo 已提供完善的會員制度，使會員可享受免運費和其他專屬優惠。根據 Measurable AI 的獨家數據，擁有 Panda Pro 和 Deliveroo Plus 會籍的用戶忠誠度明顯高於其他普通用戶。
\n\n\n\n\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/01/01092024-KeetaHK_Inline08-1600x1000.jpg\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/01/01092024-KeetaHK_Inline09-1600x1000.jpg\")
上月底，競爭事務委員會宣布接納 Foodpanda 和 Deliveroo 的承諾，以釋除兩大平台與其合作餐廳施加的一些要求或會損害競爭的擔憂。Foodpanda 和 Deliveroo 各自承諾修訂條文，讓合作餐廳可自由選擇與小型外賣平台合作。競委會提到，由於 Keeta 的市佔率超過 10%，所以不會被視為小型平台，故此上述有利小型外賣平台的修訂條文將不會應用至 Keeta。簡單而言，Foodpanda 和 Deliveroo 可以要求合作餐廳不得與 Keeta 合作。
\n\n\n\n回顧過去五年香港外賣平台市場變化：UberEats、Foodpanda 和 Deliveroo 曾經三強鼎立。在2019年，Deliveroo 曾以超過六成市佔率領先。然而，疫情後的世界變了樣，Foodpanda 和Deliveroo 幾乎平分市場，而當時僅佔 5% 市佔率的 UberEats 則在2021年底退出。其後，Foodpanda 逐漸壯大，在2022年，其訂單收入佔超過六成市佔率。
\n\n\n\n敬請留意 Measurable AI 即將出爐的分析文章，以最新、實時數據了解 Keeta、Foodpanda和 Deliveroo 之間外賣市場競爭。
\n\n\n\n如欲了解更詳盡的數據分析，包括用戶忠誠度、各大外賣平台之間的用戶重疊率、優惠以及訂單量趨勢等，請聯絡我們，並預先註冊即將發佈的 2024 數字經濟年度行業報告。
\n\n\n\n\n\n\n\n\n\n\n\n另類數據公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察。我們專注於東南亞、中東、印度和南美等新興市場，主要行業涵蓋美食外送、叫車服務、電商和電子支付。
\n\n\n\nMeasurable AI 分享匿名消費者數據，並協助企業、投資者及研究機構了解並應對瞬息萬變的市場。通過收集海量的電子收據數據，我們整合出消費趨勢、市場佔有率變化，以及預測企業盈利及財務狀況。
\n\n\n\n如欲得到最新市場數據，歡迎以電郵 (business@measurable.ai) 聯絡我們。
\n\n\n\n下載最新市場報告：2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023
\n\n\n\n*文章內容並非投資建議，僅供參考。如要引用、轉發或修改文章內容，需先獲得書面同意。如有傳媒查詢，請發送電郵至 press@measurable.ai
\n
The entry of Keeta, sister app of Meituan (3690.HK) has intensified the already fierce competition in Hong Kong’s food delivery market. In just six months, Keeta has significantly marked its presence in Hong Kong, claiming a prominent market share at around 21% by GMV as of December 2023. However, this raises a familiar question faced by many in the food delivery industry: how to sustain the aggressive growth strategies fueled by high incentives?
\n\n\n\nAt Measurable AI, we’ve been closely monitoring Keeta’s trajectory in Hong Kong since its debut(read about Keeta’s first month), and we’re here to follow up with more details of this competitive market using our proprietary transactional e-receipts data.
\n\n\n\nKeeta owns a significant market share in terms of order volume by Q4 2023, but a slightly smaller share by Gross Merchandise Value (GMV), owing to its relatively lower Average Order Value (AOV) .
\n\n\n\nAs a new player, Keeta initially captured less than 5% of the market share during its first three months—a period in which it hadn’t expanded services across all of Hong Kong yet. Things changed quickly over the next few months. By December, if we only look at food delivery orders(excluding self-pickup and grocery orders), Keeta’s share of the market jumped to 37%.
\n\n\n\nYet it’s important to note that competitors Foodpanda and Deliveroo offer online grocery and self-pickup services in Hong Kong, contributing significantly to their order volumes and GMV. When including all services, Keeta’s market share by GMV actually stood at around 15% in Q4. In December, Keeta’s growth was unprecedented, it managed to own around 21% of market share in terms of GMV, with Foodpanda leading at 54% and Deliveroo at approximately 25%.
\n\n\n\n![\"Price](\"https://blog.measurable.ai/wp-content/uploads/2024/01/01092024-KeetaHK_Inline07-1600x1000.png\")
Keeta’s aggressive promotion campaigns in Hong Kong target orders with a notably lower Average Order Value (AOV) compared to its rivals. According to Measurable AI’s unique transactional e-receipts data, Keeta’s average order value in Hong Kong stands at around HKD 102, while the AOV for its competitors typically ranges between HKD 170 to 180 throughout the year. Notably, Keeta’s delivery order AOV is just marginally higher than the AOV for self-pickup orders from Foodpanda and Deliveroo.
\n\n\n\nCompared to its rivals on the market, Keeta doesn’t offer online grocery delivery, pickup service, or membership yet.
\n\n\n\nWhile Keeta’s growth in food-only and delivery-only orders is remarkable within a short period of time, it’s important to consider other aspects of the business as well. In the past few years Foodpanda and Deliveroo have already established a significant presence in online grocery deliveries with their proprietary services, Pandamart and Deliveroo Hop (which requires brick-in-mortar dark stores), along with partnerships with other grocery merchants. This segment also constitutes a substantial portion of their total sales. Notably, Foodpanda’s online grocery orders accounted for nearly 10% of its total GMV in 2023 in Hong Kong, as revealed by Measurable AI’s e-receipts panel in Hong Kong.
\n\n\n\nAnother important aspect of the food delivery business today is the self pickup service, which are taking up bigger market share for the food delivery companies. After covid, the self pick-up service has become a growing trend favoured by both users and the food delivery platforms. With a much lower operation cost the platform still manages to enjoy a decent takerate of the orders, while having users stick to using the apps.
\n\n\n\nIn 2023, both Foodpanda and Deliveroo continue to run promotions on orders with self pickup, as Measurable AI’s data shows in 2023 around 35% of the orders on Foodpanda are pickup orders, while for Deliveroo the portion also grew from around 16% to a whopping 37% over the year. It’s interesting to see how pickup orders will grow in the next year for the two companies.
\n\n\n\nThe last piece Keeta is missing at the moment is the premium membership service. Foodpanda and Deliveroo offer its mature premium membership which allows users to enjoy exclusive deals and free deliveries. Deliveroo Plus and Panda Pro both own a decent percent of premium users among their user base. According to Measurable AI’s unique dataset, the loyalty among users with membership is significantly higher than average users.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/01/01092024-KeetaHK_Inline08-1600x1000.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2024/01/01092024-KeetaHK_Inline09-1600x1000.png\")
Previously the Hong Kong Competition Commission published proposed commitments from Foodpanda and Deliveroo, addressing concerns that certain requirements on their partnering restaurants may harm competition. Just late last month, the Commission accepted the commitments by the two companies to revise their agreements with partner restaurants, allowing them more freedom to work with multiple delivery platforms and set their own pricing. However, these changes exclude partnerships with Keeta, as it already exceeds the market share threshold defined for smaller platforms at 10%.
\n\n\n\nTo rewind the food delivery market in Hong Kong in the past five years: there were three players – UberEats, Foodpanda, and Deliveroo – once vied for dominance. Deliveroo used to lead the pack with over 60% of the market share in 2019. However, the pandemic shifted the game, with Foodpanda and Deliveroo splitting the market almost equally, and UberEats scooping up a modest 5% before bowing out at the end of 2021. Post-UberEats, Foodpanda gained momentum, securing over 60% of the market share by revenues from 2022.
\n\n\n\nStay tuned as we continue to monitor the Hong Kong food delivery race between Keeta, Foodpanda, and Deliveroo.
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative dataset across the digital economy, particularly for our consumer insights relating to the food delivery industry. To unlock more detailed analysis including user loyalty/retention rate, overlap analysis, and incentive trend, please schedule a demo with us, and sign up to our upcoming 2024 Digital Economy Annual Report.
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai.
\n\n\n\nAt Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including travel, e-commerce, digital entertainment, food delivery and ride-hailing.
\n\n\n\nCheck out our latest Reports: 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
In today’s digital economy, customers are hungry for seamless dining experiences that span from their screens to their seats. Beyond the convenience of food delivery, online restaurant bookings constitute another important market segment in dining, where competition is as fierce as the flavors on offer.
\n\n\n\nIn Hong Kong, there are around 28,000 restaurants, and more than 10 restaurant booking apps that strive to simplify this dining journey. With Measurable AI’s unique consumer e-receipt data panel in Hong Kong, we’re slicing into the booking trends data to understand local diners’ preferences.
\n\n\n\nOur focus today is on OpenRice, a key player in Hong Kong’s restaurant booking scene since 1999. The latest data from Measurable AI shows a noticeable growth trend in restaurant reservations made through OpenRice in Hong Kong, although this momentum has experienced a slight deceleration in the most recent quarter of 2023.
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2023/11/11102023-OpenRice_Inline01-1600x1000.png\")
Interestingly, Openrice’s restaurant pick-up service has shown remarkable growth, with order volumes more than tripling since Q3 2020. This trend has continued unabated post-pandemic, maintaining a steady pace into 2023. It’s noteworthy that these are exclusively pick-up orders, not deliveries.
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2023/11/11102023-OpenRice_Inline02-1600x1000.png\")
Thanks to the granularity from Measurable AI’s data, our next step takes us into the heart of Hong Kong’s dining culture, as seen on OpenRice. We’ll explore the nuances of diners’ restaurant preferences, their booking habits, favorite times for reservations, and popular locations.
\n\n\n\nAccording to Measurable AI’s latest data from Q3 2023: the top three most frequently booked restaurants are all – hot pot restaurants, and two are Taiwanese- styled hotpot . 牛大人台灣火鍋吃到飽 leads the charge, with approximately 2.4% of all bookings, simmering at the top of the most frequently booked restaurants in Hong Kong via Openrice this quarter 2023.
\n\n\n\n![\"Most](\"https://blog.measurable.ai/wp-content/uploads/2023/11/11102023-OpenRice_Inline03-1600x1000.png\")
Next, let’s take a look at the booking habits among Hong Kong diners. As the weekend approaches, so does the peak in Hong Kong’s restaurant booking activity. Friday (17%), Saturday (17%), and Sunday (16%) are the prime days for reserving a spot, totaling 50% of the week’s reservations.
\n\n\n\n![\"What](\"https://blog.measurable.ai/wp-content/uploads/2023/11/11102023-OpenRice_Inline04-1600x1000.png\")
When we look at what times people are grabbing their seats at the table, evenings are the undeniable favorite. Two-thirds of the reservations on OpenRice are for dinner, making it the main event of the day. Lunch nabs 28% of the bookings as people break up their day with a bite out, and afternoon tea picking up the crumbs at 6%.
\n\n\n\n![\"Which](\"https://blog.measurable.ai/wp-content/uploads/2023/11/11102023-OpenRice_Inline05-1600x1000.png\")
Now, who’s coming to these meals? It seems cozy tables for two are what most are after, claiming nearly half of all bookings. But there’s room at the table for a few more, with 19% of reservations made for trios. Groups of four also make up around 15% of bookings on Openrice Hong Kong in Q3 2023.
\n\n\n\nThe booking data from Measurable AI not only tells us when and what people eat, but also where they prefer to dine. Tsim Sha Tsui is the belle of the ball with 23% of reservations from OpenRice, followed by Mong Kok at 17%, and Causeway Bay (11%).
\n\n\n\n![\"Where](\"https://blog.measurable.ai/wp-content/uploads/2023/11/11102023-OpenRice_Inline06-1600x1000.png\")
The tables will keep turning, and with our unique consumer data continuing to flow, there’s a whole menu of insights yet to come. At Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets including Southeast Asia, Latin America, Middle East, and Africa. We are well regarded for our comprehensive dataset across the digital economy including food-delivery, ride-hailing, and e-commerce.
\n\n\n\nIf you’ve found this analysis intriguing, feel free to schedule a demo with us to learn more.
\n\n\n\nTo stay updated with all aspects in Hong Kong’s digital economy, don’t forget to sign up for our newsletter. You’ll get firsthand information about the upcoming 2023 annual reports covering various facets of Hong Kong’s digital landscape – from online dining bookings, food delivery and e-commerce to fintech and travel.
\n\n\n\nAbout Measurable AI
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai.
\n\n\n\nAt Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including e-commerce, food delivery, ride-hailing and fintech.
\n\n\n\nCheck out our latest reports: 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
People use different dimensions to define or differentiate themselves, from basics like age and gender to more intricate factors like blood type, zodiac signs, and the Myers-Briggs Type Indicator (MBTI). MBTI classifies individuals into 16 categories based on traits like Introverted (I) vs. Extroverted (E), Intuition (N) vs. Observant (S), Feeling (F) vs. Thinking (T), Prospecting (P) vs. Judging (J). Some use MBTI for job screening, others as an icebreaker on dating apps. I’m an ISFJ with a variant trait. What’s your MBTI?
\n\n\n\nMeasurable AI has compiled aggregate data encompassing individuals across all 16 MBTI personality types from emails sourced through 16 Personalities. We have delved into their alternative data to understand how people with different MBTI types navigate the world of big data. Let’s uncover some intriguing insights!
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for emerging markets including Southeast Asia, Latin America, the Middle East, and Africa. We are well regarded for our comprehensive dataset across the digital economy including food-delivery, ride-hailing, and e-commerce.
\n\n\n\n\n\n\n\n\n\n\n\nAccording to Measurable AI’s exclusive e-receipt panel, the Mediators (INFP) constitute the largest portion, making up 14.7% of our sources of data point, who are known for their introspective and creative nature. Following closely behind are INFJs at 11.5%, characterized by their empathetic and insightful qualities while ENFJs are at 10.7%, exhibiting strong leadership and interpersonal skills.
\n\n\n\nWhen we divide the pie by each trait, we can tell I, N, and D traits surpass E, S, and T traits by around 20% each, making a 6:4 ratio for these dimensions and suggesting more inner reflection, imagination, and emphasis on personal values and emotions. Regarding the J vs. P dimension, our panel is almost evenly balanced, indicating a mix of adaptability and structured planning.
\n\n\n\n![\"MBTI](\"https://blog.measurable.ai/wp-content/uploads/2023/11/11022023-MBTI_Inline01-1600x1000.png\")
![\"MBTI](\"https://blog.measurable.ai/wp-content/uploads/2023/11/11022023-MBTI_Inline02-1600x1000.png\")
The Architects (INTJ) are believed to love perfecting the details of life and pride themselves on their ability to think for themselves. Surprisingly, they are the top spenders, with an average order value of 2022 in Foodpanda exceeding USD $40. In contrast, the Entrepreneurs (ESTP) have the lowest average order value at USD $11.
\n\n\n\nWe first anticipated that introverted individuals are more likely to order food delivery as they might refuse to eat out. Yet, data shows that the top 3 MBTI with the highest annual food delivery frequency are ESTJ, INTJ, and INFJ, all of whom share the common trait of Judging, who are characterized as always keeping a checklist in their mind. This suggests that for these individuals, ordering food delivery holds a significant place on their daily checklist, emphasizing the importance of this convenient dining option in their daily lives.
\n\n\n\n![\"MBTI_Average](\"https://blog.measurable.ai/wp-content/uploads/2023/11/11022023-MBTI_Inline03-1600x1000.png\")
Interestingly, when we analyzed the annual ordering frequency of Uber rides, the top three MBTI personality types with the highest ride counts all exhibit the Thinking trait: ENTP (51 rides), ENTJ (48 rides), and ISTJ (37 rides), indicating that these T passengers are more likely to spend money to exchange for convenience.
\n\n\n\nThe graph illustrates annual order frequency differences between contrasting traits. Extroverts (26 orders) tend to use Uber more than Introverts (23 orders), hinting at a link between sociability and ride-hail usage. Those favoring Intuition (26 orders) over Observant (22 orders) also lean towards Uber, indicating that intuitive thinkers may prefer ride-hailing services. Notably, individuals with a Thinking (27 orders) preference over Feeling (23 orders) traits use Uber the most, suggesting a penchant for logical decision-making in transportation choices. The Prospecting (23 orders) and Judging (25 orders) traits exhibit balanced usage, showing that both spontaneous and planned thinkers rely on Uber regularly.
\n\n\n\n![\"MBTI_Annual](\"https://blog.measurable.ai/wp-content/uploads/2023/11/11022023-MBTI_Inline04-1600x1000.png\")
We have also taken a look into online streaming platform competition between the two giants Netflix and Disney+, and we uncovered that both players have the same biggest fan – the Protagonists (ENFJ). Out of all the ENFJ users, an impressive 15% and 9% are Netflix and Disney+ subscribers respectively.
\n\n\n\nThese statistics, which rank the highest among all 16 MBTI types for each platform, challenge the stereotype that Protagonists are just boring do-gooders. Instead, it suggests that they take immense pleasure in indulging in their hobbies, be it binge-watching dramas, reality shows, or documentaries, making them the true aficionados of both streaming worlds.
\n\n\n\n![\"MBTI_Netflix](\"https://blog.measurable.ai/wp-content/uploads/2023/11/11022023-MBTI_Inline05-1600x1000.png\")
In summary, it’s intriguing to note the diversity in personality types, reflecting the multifaceted nature of human personalities and how individuals approach life, relationships, and decision-making in different ways, with reference to their various aspects of digital life.
\n\n\n\nAt Measurable AI, we keep using alternative data sources to uncover more intriguing patterns. Whether you’re an INTJ, ENTP, or ENFJ, remember that data has something to say about all of us, and we’re here to decode it.
\n\n\n\nFollow our insights blog and newsletter for more hot topics. Or if you are a hedge fund, corporation or in research and looking for the most up-to-date transactional data insights at business@measurable.ai.
\n\n\n\n\n\n\n\n\n\n\n\nAt Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including e-commerce, food delivery, ride-hailing and fintech.
\n\n\n\nCheck out our latest Reports: 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
Bringing you the latest from Taiwan’s online food delivery landscape: UberEats(NYSE: UBER) and Foodpanda (DHER.DE) have been dominating the market as a duopoly since 2020. In our latest analysis, we delve deeper with user behavior data to further explore the ongoing competition.
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets including Southeast Asia, Latin America, Middle East, and Africa. We are well regarded for our comprehensive dataset across the digital economy including food-delivery, ride-hailing, and e-commerce.
\n\n\n\nFoodpanda currently holds a slight edge over UberEats in market share by order volume in Taiwan. Our exclusive data up till August 2023 unveils this long-standing rivalry between the two food delivery giants. A historical analysis (read our previous feature tracing their competition since 2020) indicates that UberEats once led the race, but the tides have turned in the recent year.
\n\n\n\n![\"Taiwan](\"https://blog.measurable.ai/wp-content/uploads/2023/10/new-1600x1000.png\")
Based on Measurable AI’s data, in terms of average order value and spending per user, Foodpanda slightly outpaces UberEats in the first three quarters of 2023.
\n\n\n\n![\"Taiwan](\"https://blog.measurable.ai/wp-content/uploads/2023/11/10132023-TaiwanFoodDeliveryWar_Inline04-1600x1000.jpg\")
Apart from the higher level market trends, Measurable AI’s granular data also unveils the intriguing details of consumer behavior between users from UberEats and Foodpanda in Taiwan. As illustrated in the following graph, UberEats tends to attract a more international audience, whereas Foodpanda primarily caters to a local clientele.
\n\n\n\nOn UberEats Taiwan, consumers use multiple languages. Based on Measurable AI’s data from since January to September 2023: Traditional Chinese, Taiwan’s official language, dominates with 58% of the orders. There’s also significant representation from English (15%), and simplified Chinese (widely used in mainland China) at 15%. Korean and Spanish come in at around 4% and 3 % respectively. Other languages include Japanese (2%), and sprinklings of French, Vietnamese, Thai, and Portuguese.
\n\n\n\n![\"UberEats](\"https://blog.measurable.ai/wp-content/uploads/2023/11/10132023-TaiwanFoodDeliveryWar_Inline02-1600x1000.jpg\")
Given Taiwan’s immigration ministry data that shows foreign residents as of April 2023 make up around 3.48% of the country’s demographic. It’s evident that a substantial part of the population communicates in traditional Chinese. Yet, our data reveals that a significant portion of foreign language orders on UberEats Taiwan, which could come from both travellers and foreigners residing in Taiwan.
\n\n\n\n![\"Foodpanda](\"https://blog.measurable.ai/wp-content/uploads/2023/11/10132023-TaiwanFoodDeliveryWar_Inline01-1600x1000.jpg\")
As for Foodpanda, which currently requires a local number for users to register, the linguistic breakdown is simpler. Majority of the orders are placed in traditional Chinese, with a mere 0.8% in English (based on data from January to September 2023).
\n\n\n\nBoth UberEats and Foodpanda cater to distinct customer segments in Taiwan. UberEats seems to have carved a niche among international audiences and travelers, while Foodpanda firmly roots itself in serving the local population.
\n\n\n\nOur exploration of the Taiwan food delivery market offers just a glimpse of the depth of insights that data can provide. At Measurable AI, we believe in the transformative power of alternative data, and we’re committed to providing data for digital economy in the emerging markets.
\n\n\n\nIf you’ve found this analysis intriguing, feel free to schedule a demo with us to learn more.
\n\n\n\nTo stay updated with the shifts in Taiwan’s digital economy, don’t forget to sign up for our newsletter. You’ll get firsthand information about the upcoming 2023 annual reports covering various facets of Taiwan’s digital landscape – from online delivery and ride-hailing to e-commerce and travel.
\n\n\n\nAbout Measurable AI
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai.
\n\n\n\nAt Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including e-commerce, food delivery, ride-hailing and fintech.
\n\n\n\nCheck out our latest reports: 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
拆解香港麥當勞最受歡迎食物、早餐時段飲品偏好、咖啡落單高峰期等快餐數據
\n\n\n\n在上篇麥當勞咖啡退休報告中，Measurable AI 透過分析過去一年的麥當勞手機訂單，研究了麥當勞咖啡和 McCafé 咖啡的訂單量數據、最受歡迎飲品以及手機落單高峰期。今次 Measurable AI 將繼續深入分析獨家電子收據數據，為大家揭曉更多快餐巨頭數據，各位切勿錯過！
\n\n\n\n本地數據分析公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察，主要行業涵蓋美食外送、叫車服務、電商和電子支付等。
\n\n\n\n\n\n\n\n回帶：麥當勞咖啡退休數據 ☕️ 港人食 McDonald’s 最常飲呢樣嘢！(上)
\n\n\n\n\n\n\n\n根據 Measurable AI 收集的麥當勞手機 App 訂單數據 (不包括麥麥送)，麥當勞哪項食品是港人心目中的「世一」？
\n\n\n\n第九至十位是常見於早餐時段的火腿扒芝士飽 (Ham N’ Cheese Burger) 和麥芝蛋飽 (Egg & Cheese Burger)。香港麥當勞特有的扭扭粉 (Twisty Pasta) 穩居榜單第八位。
\n\n\n\n近年香港麥當勞不時宣傳走高檔路線的安格斯漢堡 (Angus Burger)，排列第七位。
\n\n\n\n第六位為巨無霸® (Big Mac®)，這款「人人食過笑哈哈」的經典漢堡一直是港人的最愛之一。(按此了解 Measurable AI 巨無霸外賣指數)
\n\n\n\n按照訂單量計算，第四位和第五位叮噹馬頭，分別是脆香雞翼 (McWings) 和魚柳飽 (Filet-O-Fish™)。
\n\n\n\n豬柳蛋漢堡™ (Sausage McMuffin®with Egg) 排行第三，憑優惠價錢、早午晚皆適合享用等原因，「豬柳強」成功打入三甲。
\n\n\n\n第二位是麥樂雞 (Chicken McNuggets®)，麥當勞更不時推出期間限定的特色麥樂雞醬，成功留住香港人的胃。
最受歡迎食品結果顯而易見，與「鏡仔卡」息息相關的麥炸雞 (Crispy Thighs) 名列榜首。根據 Measurable AI 的數據，在 2022 年 12 月香港麥當勞與 MIRROR 合作活動期間，麥炸雞的訂單量激增，比上一個月增長超過十倍。
![\"香港麥當勞](\"https://blog.measurable.ai/wp-content/uploads/2023/09/09102023-McDonaldCoffeeRetirement_Inline05_BiL-1600x1000.png\")
在上篇，Measurable AI 分析過麥當勞 App 手機訂單數據，了解到港人吃快餐的飲品偏好。今次我們將焦點放在比較早餐時段和非早餐時段，看看港人飲品偏好有何不同。
\n\n\n\n早餐時段：
\n\n\n\n於早上 6 點至 11 點早餐時段，麥當勞咖啡佔所有含有飲品的訂單約 26.9%。雖然麥當勞咖啡現已停售，但 Measurable AI 過去一年的數據顯示它是早上伴隨香港人吃麥記早餐的最受歡迎飲品選擇。
\n\n\n\n港式奶茶緊隨其後，佔 20.5%，意味每 5 杯早餐飲品就有 1 杯是港式奶茶。
\n\n\n\n其餘飲品銷量分佈相對平均，熱朱古力佔 11.4%、McCafé 咖啡佔 10.6%、美粒果橙汁佔 10.2%、新鮮檸檬茶/水佔 10%。
\n\n\n\n非早餐時段：
\n\n\n\n早餐時段過後，汽水類飲料全面進場。於上午 11 點至凌晨 5 點非早餐時段，汽水類佔所有飲品訂單約 48%，接近一半。可口可樂是最受歡迎的飲品，佔 22.3%；無糖可口可樂佔 11.8%；雪碧和芬達共佔 14.1%。
\n\n\n\n與上述汽水同屬太古集團的美粒果橙汁佔 8.9%，比早餐時段的 10.2% 輕微下跌。
\n\n\n\n新鮮檸檬茶/水和港式奶茶分別佔 8.8% 和 7.1%；熱朱古力佔 7%。
在咖啡方面，麥當勞咖啡和 McCafé 咖啡一共佔非早餐時段飲品訂單的 8.6%。
![\"香港麥當勞人氣飲品](\"https://blog.measurable.ai/wp-content/uploads/2023/09/09102023-McDonaldCoffeeRetirement_Inline04_Chi-1600x1000.jpg\")
透過 Measurable AI 的獨家電子收據數據，我們深入研究三個平台或餐廳的咖啡落單時間，數據包含麥當勞手機 App 訂單、Foodpanda 上的麥當勞訂單以及 Starbucks 訂單。
\n\n\n\n比較各個平台的咖啡落單高峰期，麥當勞手機 App 訂單和 Foodpanda 上的 Starbucks 訂單的頂峰時間相同，於上午 8 點至 8 點半訂單量佔全日最多。
\n\n\n\n當我們看 Foodpanda 上的麥當勞訂單時，就發現叫咖啡的高峰時段為上午 10 點至 10 點半，比起其餘兩者推遲了兩小時，顯示選擇用外賣 App 叫麥當勞咖啡的人傾向比用麥當勞 App 的人較遲享用早餐。
\n\n\n\n想知更多？如欲得到最新市場數據，歡迎以電郵 (business@measurable.ai) 聯絡我們。
\n\n\n\n\n\n\n\n![\"香港咖啡點餐時間](\"https://blog.measurable.ai/wp-content/uploads/2023/10/09102023-McDonaldCoffeeRetirement_Inline06_BiL-1600x1000.jpg\")
另類數據公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察。我們專注於東南亞、中東、印度和南美等新興市場，主要行業涵蓋美食外送、叫車服務、電商和電子支付。
\n\n\n\nMeasurable AI 分享匿名消費者數據，並協助企業、投資者及研究機構了解並應對瞬息萬變的市場。通過收集海量的電子收據數據，我們整合出消費趨勢、市場佔有率變化，以及預測企業盈利及財務狀況。
\n\n\n\n如欲得到最新市場數據，歡迎以電郵 (business@measurable.ai) 聯絡我們。
\n\n\n\n下載最新市場報告：2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023
\n\n\n\n*文章內容並非投資建議，僅供參考。如要引用、轉發或修改文章內容，需先獲得書面同意。如有傳媒查詢，請發送電郵至 press@measurable.ai
\n\n\n\n\n\n\n\n更多數據分析文章：
\n\n\n\nMeasurable AI 推出「巨無霸外賣指數」 (Big Mac Food Delivery Index)
\n\n\n\n美團KeeTa 開業首月表現如何？香港最新外賣市場數據：KeeTa VS Deliveroo VS Foodpanda
\n\n\n\n\n\n\n\n【外送市場】誰是漢堡神偷？實測 Foodpanda、Deliveroo 及麥麥送
\n
Golden Arches Revealed: Top 10 Best Sellers, Breakfast Drink Preferences, and Coffee Order Peak Hours at McDonald’s HK
\n\n\n\nIn our previous exploration of McDonald’s coffee “retirement” report, we delved into the order volume figures for legacy and McCafé’s coffee products, the most popular beverages, and peak ordering times. Now, we’re back with Part 2, ready to unveil a treasure trove of data insights from Measurable AI’s proprietary e-receipt datasets, providing you with an even deeper look into the world of this fast food giant.
\n\n\n\n
At Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets including Southeast Asia, Latin America, Middle East, and Africa. We are well regarded for our comprehensive dataset across the digital economy including food-delivery, ride-hailing, and e-commerce.
Check out Part 1 of our blog: McDonald’s Coffee “Retirement” Report Revealed ☕️ Big Data Analysis of Hongkongers’ Fast Food Ordering Habits
\n\n\n\n\n\n\n\nLet’s kick things off with a taste of the popular picks. Measurable AI has meticulously analyzed a year’s worth of McDonald’s mobile app orders (excluding McDelivery orders) to reveal Hongkongers’ favorites when it comes to McDonald’s.
\n\n\n\nAt the pinnacle of this list sits the irresistible Crispy Thighs (麥炸雞). It’s evident that these chicken thighs have captured the appetites of countless Hongkongers, including fans of the local boy band MIRROR. In December 2022, McDonald’s teamed up with MIRROR once again, offering collectible idol cards redeemable after ordering Crispy Thighs items through the McDonald’s app. According to Measurable AI’s data, during the campaign period last year, Crispy Thighs’ order volume skyrocketed, increasing by more than tenfold compared to the previous month.
\n\n\n\nNot far behind are the iconic Chicken McNuggets® (麥樂雞). These bite-sized delights have been a popular choice for McDonald’s enthusiasts, a testament to their enduring appeal. Sausage McMuffin® with Egg (豬柳蛋漢堡™) ranks third on the chart, this classic burger has long been a staple for breakfasts, lunches and dinners.
\n\n\n\nMoving further down the list, we come to McWings (脆香雞翼) and Filet-O-Fish™ (魚柳飽), which jointly occupy the fourth and fifth positions in terms of popularity. In the sixth spot, we encounter the globally renowned Big Mac® (巨無霸®). For more insights, explore Measurable AI’s Big Mac Food Delivery Index.
Twisty Pasta (扭扭粉), a Hong Kong exclusive breakfast item, secures its pace on the list as the eighth-best selling item. This local favorite offers a range of flavors including options like Ham N’ Egg and Grilled Chicken, making it a must-try for early risers to warm their soul.
\n\n\n\n\n\n\n\n![\"Top](\"https://blog.measurable.ai/wp-content/uploads/2023/09/09102023-McDonaldCoffeeRetirement_Inline05_Eng-1600x1000.png\")
In Part 1 of our exploration, we took a deep dive into McDonald’s mobile app order data, uncovering valuable insights into popular beverages among Hong Kongers. Now, we’re turning our attention to a specific aspect: the popularity of these beverages during breakfast versus non-breakfast hours, based on Measurable AI’s e-receipt panel.
\n\n\n\nBreakfast Hours:
\n\n\n\nDuring breakfast hours (6 AM to 11 AM), it’s McDonald’s Coffee that takes the lead, accounting for a substantial 26.9% of beverage orders. Although McDonald’s legacy coffee products are no longer available, Measurable AI’s data from the past year shows that they are the most popular drinks when the sun is just rising.
\n\n\n\nLocal Milk Tea follows closely behind, at 20.5%, offering a Hong Kong-style flavor. Hot Chocolate warms up mornings with 11.4% of orders, while McCafé Coffee caters to coffee lovers with 10.6%. Minute Maid Orange Juice’s zesty appeal captures 10.2% of orders, while Fresh Lemon Tea / Water provides a refreshing choice at 10%.
\n\n\n\nNon-Breakfast Hours:
\n\n\n\nAs the day unfolds, beverage preferences shift, soft drinks constitute a total of 48% of beverage orders during non breakfast hours (11 AM to 5 AM). Coca-Cola is the most popular choice, commanding 22.3%, while Coca-Cola No Sugar captures 11.8%. Sprite and Fanta collectively make up 14.1% of the share. These carbonated classics continue to be the go-to choices for quenching thirst and complementing McDonald’s meals throughout the day.
\n\n\n\nLocal Milk Tea and Fresh Lemon Tea / Water, with a shared presence of 16%, maintain their popularity, appealing to both traditional and health-conscious palates. Hot Chocolate continues to bring its warmth, accounting for 7% of orders.
\n\n\n\nIn the realm of coffee, McDonad’s Coffee and McCafé Coffee collectively make up 8.6% of non-breakfast hour beverage orders.
\n\n\n\n\n\n\n\n![\"McDonald's](\"https://blog.measurable.ai/wp-content/uploads/2023/09/09102023-McDonaldCoffeeRetirement_Inline04_Eng-1600x1000.jpg\")
When it comes to the daily caffeine rush, the data speaks volumes about Hongkongers’ coffee preferences. As we delve deeper into the world of coffee order times with Measurable AI’s unique panel, we examine the trends across three platforms: McDonald’s mobile app, McDonald’s orders via Foodpanda, and Starbucks orders via Foodpanda.
\n\n\n\nOne intriguing pattern that emerges is the synchronization of peak coffee ordering times between McDonald’s mobile app and Starbucks via Foodpanda. Both platforms experience a surge in coffee orders at 8:00 – 8:30 AM. It appears that a significant portion of Hong Kong’s early risers relies on these two giants to kick start their day with a fresh cup of joe.
\n\n\n\nThe story takes an interesting twist when we look at McDonald’s orders via Foodpanda. While the morning coffee rush begins at 8 AM for the McDonald’s mobile app and Starbucks via Foodpanda, the data reveals a distinct peak hour for McDonald’s orders through Foodpanda at 10:00 – 10:30 AM. This suggests that those McDonald’s lovers opting for the convenience of food delivery service tend to delay their coffee fix by two hours.
\n\n\n\n\n\n\n\n![\"Coffee](\"https://blog.measurable.ai/wp-content/uploads/2023/10/09102023-McDonaldCoffeeRetirement_Inline06_Eng-1600x1000.png\")
This nuanced insight highlights the influence of delivery platforms on consumer behavior, showcasing how specific trends emerge in the fast-food and coffee delivery scene. For those keen on exploring such intriguing patterns, Measurable AI’s proprietary e-receipt datasets are a treasure trove of valuable consumer insights.
\n\n\n\nFollow our insights blog and newsletter to keep up with this heated competition. Or contact us at business@measurable.ai if you are a hedge fund, corporation or in market research and looking for the most up-to-date transactional data insights.
\n\n\n\n\n\n\n\nAt Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including e-commerce, food delivery, ride-hailing and fintech.
\n\n\n\n\n\n\n\nCheck out our latest Reports: 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n\n\n\n\n\n\n\nMore data insight blogs:
\n\n\n\nIntroducing Measurable AI’s Big Mac Food Delivery Index
\n\n\n\nMeituan’s Food Delivery Debut in Hong Kong: Keeta vs Deliveroo vs Foodpanda
\n\n\n\n\n\n\n\nHong Kong’s Noodle Rhapsody: Food Delivery Insights on TamJai and SamGor
\n
香港麥當勞早前宣佈「凍/熱優質濃香咖啡」及「優質即磨咖啡」退休，換來全面升級至 McCafé 即磨黑咖啡。陪伴港人多年的「麥當勞咖啡」，究竟在停售前的銷量如何？
\n\n\n\n本地市場調查研究公司 Measurable AI 分析了過去一年的麥當勞手機訂單，為大家揭曉最受港人歡迎的麥當勞飲品、點餐高峰時段等消費數據洞察，用數據說話！
\n\n\n\nMeasurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察，主要行業涵蓋美食外送、叫車服務、電商和電子支付等。
\n\n\n\n\n\n\n\n追看下篇：麥當勞人氣食物排行榜公開！麥樂雞僅排第二？港人 McDonald’s 點餐數據
\n\n\n\n\n\n\n\n廣告有云「有早餐嘅 Morning 先係 Good Morning」，根據 Measurable AI 收集的麥當勞手機 App 訂單數據 (不包括麥麥送)，上午6至11時早餐時段的訂單佔全日訂單三分之一，落單高峰時段為8至9時。
\n\n\n\n更仔細地看，最多人使用麥當勞 App 下單時間為8時20分至29分，這時段為全日頂峰，特別留意到10時50分至59分有一個小高峰，顯示不少人捉緊麥當勞早餐的尾巴，在11時前早餐供應時段內點餐。
\n\n\n\n從圖表可見，早餐和午餐的下單時間相對集中，而晚餐訂單則分佈在介乎下午5時半到晚上9時；凌晨12時至上午6時的訂單量明顯最少。根據麥當勞官網資訊，現時全港252間分店之中，83間分店為24小時營業。
\n\n\n\n![\"香港麥當勞手機](\"https://blog.measurable.ai/wp-content/uploads/2023/09/09102023-McDonaldCoffeeRetirement_Inline02_BiL-1-1600x1000.png\")
食麥記，你會配甚麼飲品？綜觀過去一年的麥當勞手機 App 訂單數據，Measurable AI 總括出以下人氣產品圖表，這些數據除了展示港人吃快餐的飲品偏好，還反映了香港的多元飲食文化和習慣。
\n\n\n\n毫無懸念，汽水類最受歡迎，佔所有麥當勞飲品約三成，單單原味可口可樂佔所有飲品的 13.9% 銷量。順帶一提，與可口可樂同屬太古集團旗下飲料的美粒果橙汁佔所有飲品的一成。
\n\n\n\n雖然麥當勞咖啡現已停售，但過往一年數據顯示，麥當勞咖啡佔所有飲品的 19% 銷量，是McCafé 咖啡的四倍銷量有多。在麥當勞咖啡類別中，「優質濃香咖啡」和「優質即磨咖啡」分別佔 54% 和 46%；至於 McCafé 咖啡類別中，最受歡迎飲品為「意式鮮奶咖啡」，銷量佔所有 McCafé 咖啡的 33%。
\n\n\n\n麥當勞咖啡和 McCafé 咖啡一共佔所有飲品銷量 23.7%，逼近四分之一。根據 Measurable AI 數據，85% 含有咖啡 (麥當勞和McCafé) 的麥當勞訂單時間皆為早餐時段內 (上午6時至11時)，可見大部份光顧麥當勞和 McCafé 咖啡的人都視它為早上提神的飲料。
\n\n\n\n至於其他飲品，港式奶茶佔 13.1%、熱朱古力佔 9.4%、新鮮檸檬茶和新鮮檸檬水共佔 9.3%。奶昔和期間限定回歸的新地樂分別只佔 1.3% 和 0.3%。
\n\n\n\n![\"香港麥當勞人氣飲品\"](\"https://blog.measurable.ai/wp-content/uploads/2023/09/09102023-McDonaldCoffeeRetirement_Inline01_BiL-1600x1000.jpg\")
陪伴港人多年的麥當勞咖啡在 9 月 4 日下午 6 時正式停售。Measurable AI 透過分析麥當勞手機 App 訂單數據，帶大家由停售前一星期開始看麥當勞咖啡和 McCafé 咖啡的訂單量。
\n\n\n\n在8月29日至9月3日，麥當勞咖啡和 McCafé 咖啡的訂單量相對穩定。在9月4日，停售消息一出，麥當勞咖啡的訂單稍微增加；在9月5日，訂單量正式減至零。
\n\n\n\n從9月5日早上開始，McCafé 咖啡開始接手，麥當勞套餐飲品可免費升級至「即磨黑咖啡」，亦可加錢轉配「即磨白咖啡」或「即磨鮮奶咖啡」。根據 Measurable AI 的數據，在9月5至7日，McCafé 咖啡的訂單量比之前飆升3倍，每日訂單量比停售前的咖啡總和還要多，顯示不少顧客對新的 McCafé 咖啡選項有興趣。
\n\n\n\n
想知更多？如欲得到最新市場數據，歡迎以電郵 (business@measurable.ai) 聯絡我們。
![\"香港麥當勞咖啡退休前後訂單量\"](\"https://blog.measurable.ai/wp-content/uploads/2023/09/09102023-McDonaldCoffeeRetirement_Inline03_BiL-1600x1000.png\")
欲知後事如何，請期待下篇麥當勞數據分析文章。Measurable AI 將繼續深入分析獨家電子收據數據，探討麥當勞和其他快餐連鎖集團在香港市場的發展，以及港人飲食習慣。敬請期待！
\n\n\n\n\n\n\n\n另類數據公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察。我們專注於東南亞、中東、印度和南美等新興市場，主要行業涵蓋美食外送、叫車服務、電商和電子支付。
\n\n\n\nMeasurable AI 分享匿名消費者數據，並協助企業、投資者及研究機構了解並應對瞬息萬變的市場。通過收集海量的電子收據數據，我們整合出消費趨勢、市場佔有率變化，以及預測企業盈利及財務狀況。
\n\n\n\n\n\n\n\n如欲得到最新市場數據，歡迎以電郵 (business@measurable.ai) 聯絡我們。
\n\n\n\n\n\n\n\n下載最新市場報告：2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023
\n\n\n\n\n\n\n\n*文章內容並非投資建議，僅供參考。如要引用、轉發或修改文章內容，需先獲得書面同意。如有傳媒查詢，請發送電郵至 press@measurable.ai
\n\n\n\n\n\n\n\n更多數據分析文章：
\n\n\n\nMeasurable AI 推出「巨無霸外賣指數」 (Big Mac Food Delivery Index)
\n\n\n\n美團KeeTa 開業首月表現如何？香港最新外賣市場數據：KeeTa VS Deliveroo VS Foodpanda
\n\n\n\n\n\n\n\n【外送市場】誰是漢堡神偷？實測 Foodpanda、Deliveroo 及麥麥送
\n
In early September, McDonald’s Hong Kong announced the retirement of its two legacy coffee products, making way for an upgrade to its premium sub-brand McCafé’s coffee. As we bid farewell to these two legacy coffee products that have accompanied loyal Hongkongers for years, it’d be interesting to see what the order volume figures were like from our proprietary e-receipt datasets.
\n\n\n\nMeasurable AI has analyzed a year’s worth of McDonald’s mobile app orders to reveal the most popular beverages, peak ordering times, and other consumer data insights surrounding this fast food giant. Without further ado, let’s dive into the data!
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets including Southeast Asia, Latin America, Middle East, and Africa. We are well regarded for our comprehensive dataset across the digital economy including food-delivery, ride-hailing, and e-commerce.
\n\n\n\n\n\n\n\nCheck out Part 2 of our blog: Flavor Meets Data 🍔 Unveiling McDonald’s Hong Kong Order Habits
\n\n\n\n\n\n\n\n\n\n\n\nAccording to Measurable AI’s exclusive consumer panel, McDonald’s mobile app orders (McDelivery orders excluded) within breakfast hours (6 AM to 11 AM) accounted for one-third of the total daily orders, with the peak ordering time being from 8 AM to 9 AM.
\n\n\n\nLooking closer, most people placed orders between 8:20 AM and 8:29 AM, marking the daily peak. We observed a minor peak from 10:50 AM to 10:59 AM. This seems to suggest that many customers rush to grab McDonald’s breakfast before the 11 AM cutoff.
\n\n\n\nThe chart below illustrates that the orders for breakfast and lunch are relatively concentrated while dinner orders are distributed between 5:30 PM and 9 PM. Orders between 12 AM and 6 AM are notably the lowest. According to McDonald’s official website, within the 252 branches in Hong Kong, 83 of them operate 24 hours.
\n\n\n\n\n\n\n\n![\"McDonald's](\"https://blog.measurable.ai/wp-content/uploads/2023/09/09102023-McDonaldCoffeeRetirement_Inline02_Eng-1-1600x1000.png\")
After analyzing a year’s worth of McDonald’s mobile app order data, Measurable AI has compiled the following pie chart of popular beverages. This data not only showcases Hongkongers’ beverage preferences when eating fast food but also reflects Hong Kong’s diverse dining culture and habits.
\n\n\n\nUnsurprisingly, soft drinks are the most popular, contributing to about one-third of all McDonald’s beverage orders, with Coca-Cola alone making up 13.9% of all beverage orders. It’s worth mentioning that Minute Maid Orange Juice, which is also Swire Group’s product, accounted for 10% of all beverage orders.
\n\n\n\nAlthough McDonald’s legacy coffee products are no longer available, Measurable AI’s data from the past year shows that it accounted for 19% of all beverage orders, more than four times the volume of McCafé coffee. Within the McDonald’s coffee category, “Premium Roast Coffee” and “Ground Coffee” accounted for 54% and 46%, respectively. As for McCafé coffee, the most popular drink was “Latte”, making up 33% of all McCafé coffee orders.
\n\n\n\nTogether, McDonald’s coffee and McCafé coffee accounted for 23.7% of all beverage orders. According to Measurable AI’s data, 85% of coffee orders (both McDonald’s and McCafé) were placed during breakfast hours (6 AM to 11 AM), indicating that the majority of coffee drinkers view it as a morning pick-me-up.
\n\n\n\nAs for other beverages, local milk tea accounted for 13.1%, hot chocolate for 9.4%, fresh lemon tea and water for 9.3%. Shakes and McFloat each only make up 1.3% and 0.3%.
\n\n\n\n\n\n\n\n![\"McDonald's](\"https://blog.measurable.ai/wp-content/uploads/2023/09/09102023-McDonaldCoffeeRetirement_Inline01_Eng-1600x1000.jpg\")
McDonald’s legacy coffee drinks, which have been with Hongkongers for many years, were officially discontinued on September 4th at 6 PM. Measurable AI analyzed the order volumes of McDonald’s coffee and McCafé coffee starting from a week before the announcement.
\n\n\n\nFrom August 29th to September 3rd, the order volumes of both McDonald’s coffee and McCafé coffee remained relatively stable. On September 4th, after the announcement of the suspension of coffee supply, orders for McDonald’s coffee increased slightly; on September 5th, the order volume dropped to zero.
\n\n\n\nStarting from the morning of September 5th, McCafé coffee took over, and customers could upgrade their meal beverages to McCafé Americano for free or pay extra to switch to White Coffee or Latte. According to Measurable AI’s data, from September 5th to 7th, McCafé coffee orders surged three times compared to before, with daily order volumes exceeding the total of all coffee orders before the discontinuation, indicating that many customers are interested in the new McCafé coffee options.
\n\n\n\n\n\n\n\n![\"HK](\"https://blog.measurable.ai/wp-content/uploads/2023/09/09102023-McDonaldCoffeeRetirement_Inline03_Eng-1600x1000.png\")
Stay tuned for Part 2 of our McDonald’s data insight blog to find out what happens next.
\n\n\n\nFollow our insights blog and newsletter to keep up with this heated competition. Or if you are a hedge fund, corporation or in research and looking for the most up-to-date transactional data insights at business@measurable.ai.
\n\n\n\n\n\n\n\nAt Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including e-commerce, food delivery, ride-hailing and fintech.
\n\n\n\n\n\n\n\nCheck out our latest Reports: 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n\n\n\n\n\n\n\nMore data insight blogs:
\n\n\n\nIntroducing Measurable AI’s Big Mac Food Delivery Index
\n\n\n\nMeituan’s Food Delivery Debut in Hong Kong: Keeta vs Deliveroo vs Foodpanda
\n\n\n\nAll Eyes on Burgers in Hong Kong | Data Insights
\n\n\n\nHong Kong’s Noodle Rhapsody: Food Delivery Insights on TamJai and SamGor
\n
談到麥當勞與經濟的關係，《經濟學人》(The Economist) 自 1986 年開始每年推出「巨無霸指數」(The Big Mac Index)，以不同國家的巨無霸價格比較各種貨幣的購買力。
\n\n\n\n疫情爆發以來，網上外賣平台迅速崛起——你曾否想過，這現象如何影響巨無霸的價格？
\n\n\n\n將近四十年後，Measurable AI 推出「巨無霸外賣指數」 (Big Mac Food Delivery Index)，分析全球 300 萬名消費者的外賣訂單數據，帶大家用全新角度探究當前經濟和外送平台食品價格的關係。
\n\n\n\nMeasurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察，主要行業涵蓋美食外送、叫車服務、電商和電子支付等。
\n\n\n\n\n\n\n\nMeasurable AI 利用獨家數據集，從 100 個國家和 17 個美食外送平台上收集了巨無霸漢堡的外賣價格 (包括麥麥送)。為確保一致地換算貨幣，我們從《經濟學人》的開源 GitHub 檔案庫取得並採用其確切匯率。我們的數據涵蓋了從 2022 年 1 月 1 日到 2022 年 7 月 1 日的價格。
\n\n\n\n除了比較各種貨幣是否被高估或低估，Measurable AI 的「巨無霸外賣指數」還可作測量外送平台上的食品價格趨勢。根據我們的數據，在大部分國家或地區，外賣平台上的巨無霸價格普遍都有加價。
\n\n\n\nMeasurable AI 的 2022 年巨無霸外賣指數顯示，在日本，外賣平台上訂購巨無霸比直接到店購買貴一半，外賣平台的加價率為 54.34%
\n\n\n\n在香港，外賣平台的價格上漲幅度亦相當明顯，加幅為 21.43%，結果與我們先前深入研究香港麥當勞食品配送市場的洞察一致。美國的外賣巨無霸價格亦有類似升幅，外賣平台訂單比實體店購買的價格高出 17.82%。
\n\n\n\n在阿聯酋，無論是線上平台還是實體麥當勞店購買，巨無霸的價格都一樣。
\n\n\n\n在瑞典，實體店內購買巨無霸出奇地比外送平台訂購還要貴，價錢差距高達 38.6%。
\n\n\n![\"Big](\"https://blog.measurable.ai/wp-content/uploads/2023/08/BigMacIndexes_2022Only_REVISED-720x1080.png\")
隨著數位經濟不斷發展，物價指數已不單指線下實體店的價格，線上平台的價格也變得同樣重要。這次 Measurable AI 比較了不同城市、不同平台上的巨無霸外賣價錢，利用外賣數據發掘了一個新的角度去探索全球經濟的動態。日後更多數據洞察文章，敬請期待。
\n\n\n\n\n\n\n\n另類數據公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察。我們專注於東南亞、中東、印度和南美等新興市場，主要行業涵蓋美食外送、叫車服務、電商和電子支付。
\n\n\n\nMeasurable AI 分享匿名消費者數據，並協助企業、投資者及研究機構了解並應對瞬息萬變的市場。通過收集海量的電子收據數據，我們整合出消費趨勢、市場佔有率變化，以及預測企業盈利及財務狀況。
\n\n\n\n如欲得到最新市場數據，歡迎以電郵 (business@measurable.ai) 聯絡我們。
\n\n\n\n下載最新市場報告：2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023
\n\n\n\n\n\n\n\n*文章內容並非投資建議，僅供參考。如要引用、轉發或修改文章內容，需先獲得書面同意。如有傳媒查詢，請發送電郵至 press@measurable.ai
\n\n\n\n\n
香港虛擬銀行市場持續增長，根據金管局的數據，香港虛銀用戶數量截至 2022 年 10月達到 170萬。開業近三年，八間虛擬銀行分別為眾安銀行 (ZA Bank)、Mox Bank、匯立銀行 (Welab Bank)、理慧銀行 (Livi Bank)、天星銀行 (Airstar Bank) 、平安壹賬通銀行 (PAOB)、螞蟻銀行 (Ant Bank) 及富融銀行 (Fusion Bank)，大部分虛擬銀行背後皆有成熟穩健的機構支持。
\n\n\n\n市場競爭激烈，想了解各大虛擬銀行由開業至 2023 年的最新用戶增長情況？另類數據公司 Measurable AI 透過獨家數據集，將虛擬銀行的用戶增長數據，轉化成市場趨勢分析。
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2023/07/07142023-HKVirtualBanks_Inline01-1600x1000.png\")
根據 Measurable AI 的開戶數據，香港首家開業的虛擬銀行 ZA Bank 在過去三年一直處於領先地位。第二和第三位競爭激烈，自 2022 年第三季，Mox Bank 成功反超前 Livi Bank。截至 2023 年 5 月，香港用戶數量第二的虛擬銀行是 Mox，而 Livi 則跟隨其後排行第三。
\n\n\n\n繼 ZA Bank、Mox Bank、Livi Bank 之後，WeLab Bank 排行第四。最後一組則由 Fusion Bank、Airstar Bank、Ant Bank 和 PAOB 組成，這四間虛銀的用戶增長速度相對較慢，但仍有可觀的市場份額。
\n\n\n\n\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2023/07/07142023-HKVirtualBanks_Inline02.png\")
Measurable AI 利用獨家電子收據數據，整合了香港四大虛擬銀行之間的用戶重疊程度。在 2023 年第二季，約 41% 的 ZA Bank 用戶同時使用 Mox Bank，用戶重疊率相當高。與此同時，有 38% 的 ZA Bank 用戶同時是 Livi Bank 用戶，凸顯了這些虛擬銀行之間的聯繫。
\n\n\n\n此外，有超過 50% 的 Livi Bank 用戶同時使用 ZA 和 Mox、有 37% 同時使用 WeLab，可見香港用戶對於不同虛擬銀行的偏好選項相似。
\n\n\n\n提到數碼轉帳服務，不得不提廣受香港用戶歡迎的 PayMe 電子錢包。Measurable AI 比較了 PayMe 與虛擬銀行之間的用戶重疊程度，結果顯示 PayMe 與四大虛擬銀行之間的用戶重疊率超過 50%，表示香港電子錢包用戶經常同時使用虛擬銀行服務。
\n\n\n\n隨著香港虛擬銀行市場越來越成熟，了解其用戶增長及用戶重疊率對銀行在金融科技領域保持競爭力至關重要。如欲得到最新市場數據，歡迎瀏覽 Measurable AI 其他數據分析文章，或以電郵 (business@measurable.ai) 聯絡我們。
\n\n\n\n\n\n\n\n\n\n\n\n另類數據公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察。我們專注於東南亞、中東、印度和南美等新興市場，主要行業涵蓋美食外送、叫車服務、電商和電子支付。
\n\n\n\nMeasurable AI 分享匿名消費者數據，並協助企業、投資者及研究機構了解並應對瞬息萬變的市場。通過收集海量的電子收據數據，我們整合出消費趨勢、市場佔有率變化，以及預測企業盈利及財務狀況。
\n\n\n\n
*文章內容並非投資建議，僅供參考。如要引用、轉發或修改文章內容，需先獲得書面同意。如有傳媒查詢，請發送電郵至 press@measurable.ai
更多數據分析文章：
\n\n\n\n2022 香港虛擬銀行排名：另類數據分析各大Virtual Bank、電子錢包用戶增長
\n\n\n\n美團KeeTa 開業首月表現如何？香港最新外賣市場數據：KeeTa VS Deliveroo VS Foodpanda
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The Big Mac Index, introduced by The Economist in 1986, is a simple and popular tool comparing the price of a Big Mac burger in different countries, and helps show if a country’s currency is overvalued or undervalued.
\n\n\n\nBut have you ever wondered how online delivery platforms, a phenomenon that’s surged since and post pandemic, might have influenced the price of this iconic burger?
\n\n\n\nAfter nearly four decades, Measurable AI brings you a fresh take with our Big Mac Food Delivery Index. We’ve crunched numbers from our expansive consumer panel from 3 million consumers across various food delivery platforms worldwide.
\n\n\n\nOur food delivery index provides insights that resonate with the present economic milieu and also offer a unique lens to gauge the development in the food delivery industry.
\n\n\n\nAs a preliminary attempt, we gathered all the available data points from Measurable AI’s consumer panel – on the price of a Big Mac burger across 100 countries on 17 food delivery platforms (including McDonald’s very own delivery service). To ensure consistent currency conversion, we’ve adopted the exact exchange rates from The Economist, accessible via their open-source GitHub repository. Our data captures prices from January 1, 2022, to July 1, 2022.
\n\n\n\nOther than its original purpose of evaluating how much one currency is under – or overvalued relative to another, our online food delivery version of the Big Mac Index also helps to track the trend of prices of food online through food delivery services.
\n\n\n\nBased on our data, it’s evident that the Big Mac sees a markup in most countries when ordered through online food delivery services.
\n\n\n\nMeasurable AI’s 2022 Big Mac Food Delivery Index shows that it’s much more expensive to order a Big Mac through online food delivery than dining in a physical store in Japan, with a markup at approximately 54.34%.
\n\n\n\nIn Hong Kong, the markup is also notably substantial at approximately 21.43%. This observation aligns with our previous in-depth research into Hong Kong’s McDonald’s food delivery landscape. The US follows suit with online orders costing about 17.82% more than in-store purchases.
\n\n\n\nIn the UAE, the Big Mac price remains consistent whether ordered online or offline.
\n\n\n\nIn Sweden, surprisingly, the price of a Big Mac is actually much pricer in store than ordering online, and the difference is a whopping 38.6%.
\n\n\nAs the digital economy continues to evolve, so does our relationship with food, commerce, and convenience. The discrepancies in the Big Mac’s food delivery price across different platforms and regions offer a glimpse into this dynamic interplay. How will these trends persist?
\n\n\n\nMeasurable AI will keep updating the Big Mac Food Delivery Index on our channels, and we invite you to join us exploring the nuances of global economies through a new lens of online food delivery.
\n\n\n\nStay tuned, hungry, and keep crunching the numbers.
\n\n\n\nP.S. To access the granular data behind the Measurable AI Food Delivery Index, please drop us a line at business@measurable.ai for a detailed demo.
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai.
\n\n\n\nAt Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including e-commerce, food delivery, ride-hailing and fintech.
\n\n\n\nCheck out our latest Reports: 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
Last week, while strolling through the vibrant streets of Taipei with my father, I was struck by the overwhelming number of bubble tea stores scattered throughout the city. From well-known franchises to charming local establishments and street vendors, each one had its own unique appeal, making it a difficult choice to pick just one. This trend is reflected on popular food delivery platforms like UberEATS and Foodpanda, where a search in Taipei City reveals an impressive selection of over 300 bubble tea stores on UberEATS and more than 200 on Foodpanda.
\n\n\n\nAs the birthplace of milk tea in the 1980s, it’s no surprise that Taiwan has become a haven for bubble tea enthusiasts, both locals and tourists alike. To gain further insights into this booming market, I utilized Measurable AI’s Foodpanda and UberEATS Taiwan food delivery datasets covering a six-month period from October 1st, 2022, to March 31st, 2023. Through this analysis, I uncovered fascinating information about the popularity of different bubble tea brands and their associated delivery apps.
\n\n\n\nWith so many options to explore, I only wish I had more time to sample each one myself.
\n\n\n\n\n\n\n\nWhen it comes to the Taiwan bubble tea market, Kebuke Tea Company （可不可熟成紅茶) emerges as the frontrunner, dominating both overall orders and specifically on Foodpanda. However, on UberEATS, it is Macu Tea (麻古茶坊) that claims the top spot during this period. Despite Kebuke Tea Company’s significant market presence, it accounts for just 13% of the total orders, illustrating the diverse landscape of the market.
\n\n\n\n45% of the market share is held by the top five bubble tea brands: Kebuke – 可不可, 50Lan – 50嵐, Macu Tea – 麻古茶坊, Woo Tea – 五桐號, and CoCo都可. The remaining 55% is distributed among various smaller brands, highlighting the presence of multiple players in this competitive market.
\n\n\n\nNotably, Macu Tea experienced the largest market share increase among the top five companies, with an impressive 13% growth, primarily occurring between February and March.
\n\n\n\n![\"台灣手搖飲外送市場份額概覽\"](\"https://blog.measurable.ai/wp-content/uploads/2023/07/06162023-TaiwanBubbleTea_Inline01-1-1600x1000.png\")
In the ever-growing Taiwan bubble tea market, the role of food delivery platforms like UberEATS and Foodpanda cannot be underestimated. From November 2022 to March 2023, the percentage of bubble tea orders placed through UberEATS experienced a notable surge. Starting at 57% in October, it reached an impressive 71% by March, with the most significant leap of 6% occurring between February and March.
\n\n\n\nDelving into the breakdown by brand, an interesting trend emerges. Nine out of the top ten bubble tea brands, based on order volume, were more favored by customers on UberEATS. Only CoCo 都可 enjoyed more orders on Foodpanda. Across the board, these brands saw 30-50% of their orders placed on Foodpanda, with the remaining orders being fulfilled through UberEATS.
\n\n\n\nMacu Tea stood out as an outlier, with a staggering 99% of its orders being placed through UberEATS. Every order of Macu Tea in our Foodpanda dataset came from just three different locations in Kaohsiung City. Further investigation on both apps confirmed our suspicions—Macu Tea was not available for delivery on Foodpanda anywhere except Kaohsiung City, but it could be found throughout Taiwan on UberEATS.
\n\n\n\n![\"台灣10大手搖飲料店外送市場份額\"](\"https://blog.measurable.ai/wp-content/uploads/2023/07/06162023-TaiwanBubbleTea_Inline02-1-1600x1000.png\")
While UberEATS saw more orders placed overall, looking at a breakdown by city one can see that the difference comes from the two largest cities (by order volume): New Taipei City and Taipei City. Foodpanda lead orders in the next four cities – Taichung City, Taoyuan City, Kaohsiung City, and Tainan City.
\n\n\n\n![\"台灣各城市手搖飲外送訂單量分析\"](\"https://blog.measurable.ai/wp-content/uploads/2023/07/06162023-TaiwanBubbleTea_Inline03-1-1600x1000.png\")
The average order value for the top 5 bubble tea brands was calculated at 182.5 TWD. This average order value remained relatively consistent between the two major delivery services: Foodpanda and UberEATS only differed by 1 TWD. By fitting trend lines to the accompanying graphs, we can observe interesting insights. While the overall average order value from October to March was the same, Foodpanda experienced a slight upward trend over the 6-month period, indicating a gradual increase in average spending per order. Conversely, on UberEATS, the AOV exhibited a declining trend.
\n\n\n\nAmong the top 5 brands, one company stands out with a notable change in average order value on the UberEATS platform. Kebuke Tea Company witnessed a significant decrease, dropping from about 169 TWD in October 2022 to 130 TWD in March 2023. This translates to a substantial -23% change in AOV, signifying a shift in consumer behavior for this specific brand.
\n\n\n\n![\"台灣手搖飲外送訂單平均客單價\"](\"https://blog.measurable.ai/wp-content/uploads/2023/07/06162023-TaiwanBubbleTea_Inline04-1-1600x1000.png\")
Expectedly, orders from the hours of midnight to 6:00 were the least prevalent. What did surprise me were the two large peaks at 11:00 and 18:00. People often use bubble tea as a morning pick-me-up or an end of the day treat so these estimates do make sense, but the contrast is quite intriguing.
\n\n\n\n![\"Foodpanda](\"https://blog.measurable.ai/wp-content/uploads/2023/07/06162023-TaiwanBubbleTea_Inline05-1-1600x1000.png\")
One of the allures of bubble tea lies in its customizability, allowing consumers to tailor their beverage according to their preferences. From sweetness levels to temperature and flavors, as well as a range of add-ins and toppings, options abound at most bubble tea shops. Let’s delve into the sweetness preferences among consumers in Taiwan and uncover interesting insights.
\n\n\n\nAmong the various sweetness levels available, the most popular choice was 25% sweetness (微甜), accounting for a significant 36% of milk tea orders over the 6-month timeframe. It was closely followed by 50% sweetness (半甜) at 27%, 0% sweetness (無甜) at 16%, 75% sweetness (少甜) at 9%, and 100% sweetness (標準糖) at 5%. This leaves 7% of milk tea orders with fixed sweetness levels, where customization options were not selected.
\n\n\n\nAnalyzing these percentages over the 6-month period, an intriguing trend emerges: people are gravitating towards healthier options, particularly the no sugar (0% sweetness) choice, which experienced a significant increase from 8% to 20%. This shift highlights the growing preference for lower-sugar or sugar-free alternatives in milk tea consumption.
\n\n\n\n![\"台灣手搖飲外送訂單甜度趨勢\"](\"https://blog.measurable.ai/wp-content/uploads/2023/07/06162023-TaiwanBubbleTea_Inline06-1.png\")
At Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including travel, e-commerce, digital entertainment, food delivery and ride-hailing.
\n\n\n\nCheck out our latest Reports: 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
Getting a grip on changing shopping habits is crucial for businesses aiming to thrive in Southeast Asia’s fast-paced market. As this market continues to grow, consumers’ ways of making purchasing decisions evolve. With Measurable AI’s unique transactional e-receipts data, we can delve into the hidden mazes of shopping patterns in different regions. In this blog post, we’re focusing on Shopee (NYSE: SE) as a case study to understand the e-commerce users in Southeast Asia.
\n\n\n\nTo learn more about consumer behavior metrics that we track in the e-commerce industry with alternative data, please contact us.
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets including Southeast Asia, Latin America, Middle East and Africa. We are well regarded for our comprehensive dataset across the digital economy including food-delivery, ride-hailing and e-commerce.
\n\n\n\nConsumer retention remains relatively high in Shopee users among the Southeast Asian countries such as Indonesia, Thailand, Philippines, and Singapore. In particular, Singaporean Shopee users demonstrate the strongest loyalty, maintaining an over 60% retention rate after two years.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/07/07212023-SEAShopeeUserLoyalty_Inline04-1600x1000.png\")
In contrast, Thailand’s consumer retention rate stands slightly lower, with only 37% of users continuing their shopping spree on the platform after a couple of years.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/07/07212023-SEAShopeeUserLoyalty_Inline01-1600x1000.png\")
Not far behind, Indonesia and the Philippines have showcased their own distinctive patterns. Their retention statistics on Shopee are noteworthy, registering at 47% for Indonesia and a slightly higher 50% for the Philippines, indicating a considerable loyalty among their e-commerce consumers.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/07/07212023-SEAShopeeUserLoyalty_Inline05-1600x1000.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/07/07212023-SEAShopeeUserLoyalty_Inline03-1600x1000.png\")
Shifting focus to a more global perspective, it’s intriguing to note the nuances and similarities across continents on the same platform. In Brazil, which stands as another pivotal market for Shopee, the consumer landscape is slightly different. Here, the two-year consumer retention rate is just below the halfway mark at around 49%.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/07/07212023-SEAShopeeUserLoyalty_Inline02-1600x1000.png\")
Overall, based on Measurable AI’s data, Southeast Asian consumers have showcased steadfast loyalty to Shopee over the years, a trend that remained resilient even during the pandemic.
\n\n\n\nUnderstanding consumers’ payment method preferences is vital, especially for companies venturing into new markets that they are less familiar with. These choices can reveal a lot about trust levels, spending habits, and how tech-savvy consumers are. In Southeast Asia, the go-to payment methods can stand apart from other global norms.
\n\n\n\nThrough Measurable AI’s unique e-receipt data, we help businesses in pinpointing consumers’ favored payment modes and monitor them consistently. This approach captures not only the market dominance of leading payment methods, also provides insights into evolving trends and shifts over time.
\n\n\n\nExamining Measurable AI’s recent data for Shopee in the first half of 2023, here’s what stands out:
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/07/07212023-SEAShopeeUserLoyalty_Inline06-1-1600x1000.png\")
In countries like Thailand and Indonesia, ShopeePay(company’s very own e-wallet service) is the leading choice. For context, in Thailand, over half (50%) lean towards ShopeePay, while 37% go with cash and 11% with credit cards.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/07/07212023-SEAShopeeUserLoyalty_Inline09-1-1600x1000.png\")
In Indonesia, the sway towards ShopeePay is even stronger at 63%. Cash trails behind at 36%, with the remaining using credit cards.
\n\n\n\nHowever, in Philippines, cash is still more dominant, around 57% of Filipino consumers pay with cash when they shop at Shopee. Yet, ShopeePay isn’t far behind, securing 41% of the marketshare.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/07/07212023-SEAShopeeUserLoyalty_Inline08-1-1600x1000.png\")
Contrarily, in Singapore, credit cards dominate, accounting for over half of payments at around 51%.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/07/07212023-SEAShopeeUserLoyalty_Inline10-1600x1000.png\")
When we look at the data from Shopee’s competitor Lazada, similar trends are seen. Over 70% of consumers from Philippines choose cash as their preferred payment option, and similar rate is seen among users from Indonesia and Thailand.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/07/MAI_Seamless_Presentation_15-1600x1000.png\")
Comparing this to Brazilian Shopee users, Brazil presents a more diverse payment landscape. Both credit cards and PIX (a digital payment system powered by Brazil’s Central Bank) are prevalent, claiming roughly 46% and 47% of the payment method market share on Shopee, respectively. They are followed by Boleto (a cash payment option for both banked and unbanked users) and Sparcelado (a Buy Now, Pay Later option).
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/07/07212023-SEAShopeeUserLoyalty_Inline07-1600x1000.png\")
In the emerging countries, each market is unique in its own way. While Southeast Asia leans heavily towards cash, especially in nations like the Philippines and Thailand, Brazil showcases a mixed preference, blending traditional and emerging payment systems. Leveraging tools like Measurable AI’s e-receipt data can be invaluable for businesses to stay attuned to these evolving preferences, ensuring they remain competitive and relevant in diverse market landscapes.
\n\n\n\nWant to find out more about the e-commerce landscape in Southeast Asia or in other emerging markets? Write to us at business@measurable.ai to speak to us.
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai.
\n\n\n\nAt Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including e-commerce, food delivery, ride-hailing and fintech.
\n\n\n\nCheck out our latest Reports: 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n\n\n\n\n
Virtual Banking in Hong Kong continues to grow. Unlike in many other markets where digital banks are usually startups and new entrants, in Hong Kong it’s more of a game for the incumbents. The current leaders in Hong Kong’s virtual banking sector consist of eight licensed banks, including ZA Bank, Mox Bank, WeLab, Airstar, Livi, PAOB, Ant Bank, and Fusion. These institutions are supported by mature incumbents from the banking and digital industries, contributing to their continued growth and influence in the market.
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive dataset across the digital economy including the fintech and payment businesses.
\n\n\n\n![\"Made](\"https://public.flourish.studio/resources/made_with_flourish.svg\")
According to Measurable AI’s email data, ZA Bank, Mox Bank, and livi Bank are still leading the game in Hong Kong’s virtual banking scene (as of Q2 24), showcasing consistent user growth trends.
\n\n\n\nOver the past 4 years, ZA Bank has consistently maintained its lead in the Hong Kong virtual banking race, demonstrating impressive user growth. Following ZA Bank, Mox Bank and Livi Bank have been closely vying for position, with Mox Bank managing to outpace Livi Bank since the third quarter of 2022 and maintaining its positive momentum.
\n\n\n\nNext in line is Welab Bank, which has maintained a position around the average among the eight players in the market as of the second quarter of 2023. The final group consists of Fusion Bank, AirStar Bank, Ant Bank, and PAOB Bank, who have faced some challenges in catching up but still manage to hold a respectable market share after three years of growth. Despite being considered as the slower performers, they all have established themselves as notable players in the industry.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/07/07142023-HKVirtualBanks_Inline02-2-1600x1000.png\")
Based on Measurable AI’s unique e-receipt data, the level of user overlapping among the four major virtual banks in Hong Kong is quite significant. In Q2 2023, it is found that around 41% of ZA Bank users also use Mox Bank, demonstrating a considerable overlap in customer base. Similarly, 38% of ZA Bank users are also customers of Livi, highlighting the interconnectedness of these digital banking platforms.
\n\n\n\nAdditionally, over 50% of Livi Bank users engage with both ZA Bank and Mox Bank, indicating a shared customer preference for multiple virtual banking options among Hong Kong users. Among Livi Bank users, 37% also interact with Welab Bank.
\n\n\n\nIntriguingly, Measurable AI’s research on Hong Kong’s virtual banking competition also examined the relationship between these banks and Hong Kong’s popular e-wallet player, PayMe. The overlap between PayMe and the top virtual banks was found to exceed 50%, suggesting a competitive environment where users often engage with both digital banking services and e-wallet platforms. (This post was last updated in July 2024 with more updated data)
\n\n\n\nAs virtual banking continues to gain prominence in the region, understanding these patterns of user overlap is crucial for banks to tailor their services and remain competitive in the dynamic fintech landscape.Want to find out more about the digital banking or fintech landscape in Hong Kong or in the emerging markets? Write to us at business@measurable.ai to speak to us.
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai.
\n\n\n\nAt Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including e-commerce, food delivery, ride-hailing and fintech.
\n\n\n\nCheck out our latest Reports: 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
在上周，我和爸爸漫步於台北的街道上，我被城市中琳瑯滿目的珍珠奶茶店所震撼。從知名連鎖店到本地店鋪和夜市小攤，每家手搖飲料店都散發著其獨特魅力，使我難以做選擇。這股手搖飲趨勢反映在 UberEATS 和 Foodpanda 等熱門外送平台上，以台北市為例， UberEATS 上有超過300家手搖飲料店，而 Foodpanda 上則有200多家。
\n\n\n\n作為台灣最經典的飲料代表，最夯手搖飲有哪些？為了進一步了解這個蓬勃發展的手搖飲市場，我透過深入分析 Measurable AI 最近半年的 Foodpanda 和 UberEATS 外送消費數據(2022年10月1日至2023年3月31日)，為大家揭示最人氣珍珠奶茶品牌的市佔排行、平均客單價、最多人下單時段、甚至最受歡迎甜度選擇等讓人食指大動的珍奶數據。
\n\n\n\nMeasurable AI 是一間另類數據公司，目前是新興市場最大的電子收據消費數據平台，提供最新、最實時的獨家消費數據洞察。
\n\n\n\n\n\n\n\n\n\n\n\n根據 Measurable AI 的外送訂單消費數據，台灣手搖飲外送市場中，最受歡迎五大手搖飲料品牌分別為：1）可不可熟成紅茶，2）50嵐，3）麻古茶坊，4）五桐號，5）CoCo都可。
\n\n\n\n這五家品牌一共佔據了 45% 的手搖飲外送市場份額，剩餘的 55% 則分佈在超過100家較小的品牌之間，凸顯市場競爭激烈。
\n\n\n\n可不可熟成紅茶拔得頭籌， 擁有最高外送總訂單量（佔兩大平台總體珍奶外送訂單量的13 %），其在 Foodpanda 上表現亦十分出色，已連續六個月排名第一（2022 Q4 – 2023 Q1）。 而在 UberEATS 上，麻古茶坊排行榜首。
\n\n\n\n\n\n\n\n台灣手搖飲市場持續增長，兩大外送平台 UberEATS 和 Foodpanda 功不可沒。從 2022 Q4 至 2023 Q1，通過 UberEATS 下單的手搖飲料訂單數量顯著增加，在整個手搖飲外送市場中，UberEATS 的市場份額 (以訂單量計算)在六個月內由 57%增長至 71%，其中最大躍升出現二月至三月間，增長幅度為6%。
\n\n\n\n根據總訂單數量排名，前十大手搖飲品牌中有九家在 UberEATS 上的訂單量更多，另外只有 CoCo 都可在 Foodpanda 上的訂單更多。在整體趨勢上，這些手搖飲品牌的外送訂單中，Foodapanda 佔 30-50% ，其餘訂單為 UberEATS 。
\n\n\n\n麻古茶坊為一個特殊案例，其99%的外送訂單來自 UberEATS 。Foodpanda 的訂單佔 1%，當中全部來自於高雄市的三個不同地點。通過比較兩個外送應用，我們發現除了高雄市，麻古茶坊在 Foodpanda 上沒有提供外送服務，而 UberEATS 則在台灣的各個麻古茶坊分店提供外送服務。
\n\n\n\n整體來看， UberEATS 的手搖飲訂單較 Foodpanda 多；從城市細分來看，差異來自兩個訂單量最大的城市：新北市和台北市。Foodpanda 在其他四個城市 ——台中市、桃園市、高雄市和台南市的訂單量領先。
\n\n\n\n在台灣手搖飲市場上，前五大品牌的平均客單價約為182.5 新台幣。這平均客單價在兩大主要外送服務平台上持續平穩，Foodpanda 和 UberEATS 僅相差1新台幣。通過比較兩家外送平台的平均客單價趨勢圖，可見Foodpanda 上的平均客單價有輕微上升的趨勢，表示每個訂單的平均消費額逐漸增加。相反，在 UberEATS 上，平均客單價呈下降趨勢。
\n\n\n\n在前五大手搖飲品牌中，可不可熟成紅茶在 UberEATS 的平均客單價出現明顯下降，從2022年10月的169新台幣降至 2023 年 3 月的 130 新台幣，平均客單價下降幅度為 23%。
\n\n\n\n預期之中，午夜到凌晨6點的訂單數量最少。出乎意料的是，在上午11點和下午6點出現了兩個下單喝珍珠奶茶的高峰，似乎大家通常在早上叫珍珠奶茶外送提神，或者將其作為一天結束時的小確幸。
\n\n\n\n手搖飲其中一個特色是可以根據自己的喜好來定制飲料，從甜度到溫度，以及一系列的配料，大多數手搖飲店都提供很多選擇和組合。讓我們深入了解台灣消費者最愛的甜度偏好，究竟最受歡迎的選擇是「半甜」還是「微甜」？
\n\n\n\n在各種甜度中，最受歡迎的是微甜 (25%甜度)，在半年內佔了所有手搖飲訂單的36%。緊隨其後的是半甜 (50%甜度)，佔27%，無甜 (0%甜度) 佔16%，少甜 (75%甜度) 佔9%，標準糖 (100%甜度) 佔5%。其餘7%的手搖飲訂單為固定甜度，沒有自選甜度。
\n\n\n\n宏觀這半年的手搖飲甜度選擇趨勢，可見人們正傾向於更健康的選擇，特別是無糖 (0%甜度) 選項，從8%大幅增加到20%。
\n\n\n\nOriginal blog written by Josie Mobley. Translated by ChatGPT and edited by Charlie Sheng and Esther Kwong.
\n\n\n\n\n\n\n\n\n\n\n\n另類數據公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察。我們專注於東南亞、中東、印度和南美等新興市場，主要行業涵蓋美食外送、叫車服務、電商和電子支付。
\n\n\n\nMeasurable AI 分享匿名消費者數據，並協助企業、投資者及研究機構了解並應對瞬息萬變的市場。通過收集海量的電子收據數據，我們整合出消費趨勢、市場佔有率變化，以及預測企業盈利及財務狀況。
\n\n\n\n如欲得到最新市場數據，歡迎以電郵 (business@measurable.ai) 聯絡我們。
\n\n\n\n下載最新市場報告：2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023
\n\n\n\n\n\n\n\n*文章內容並非投資建議，僅供參考。如要引用、轉發或修改文章內容，需先獲得書面同意。如有傳媒查詢，請發送電郵至 press@measurable.ai
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Measurable AI, the largest transactional e-receipt alternative data company for emerging markets, has released its Annual Report on the ride-hailing industry across Asia and Americas. The report provides a detailed overview of the changes in market share and consumer behavior over the past four years across 11 markets: United States, Mexico, Brazil, Chile, Argentina, Colombia, Singapore, Indonesia, India, Thailand, and Vietnam. It also tracks the performance of several major regional players: Grab, Goto, Uber, Bolt, Lyft, Didi Global, and Ola Cabs.
\n\n\n\nInsights from the report are based on Measurable AI‘s proprietary e-receipt panel of over 2 million users. Key metrics such as market share changes, demand and user consumption trends, and incentives and user loyalty shifts can be garnered from the data. It also provides a clear image of how the ride-hailing industry has been impacted by the pandemic.
\n\n\n\n\n\n\n\n\n“Ride-hailing is one of the most fiercely competitive and rapidly changing sectors due to new technologies, entrants, and trends emerging everyday,” says Charlie Sheng, co-founder of Measurable AI. “Particularly in emerging markets which are often more opaque, we are able to offer timely and actionable granular insights into this fast-growing digital sector where traditional data sources remain scarce.”
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Unlike credit card or web scraping data, e-receipt data offers more granularity with a longer history for deeper analysis and understanding of the sector. Specific amounts spent for each item, promotions used to incentivize, user loyalty and retention rates, different payment methods – all such metrics can be gleaned from e-receipt data.
\n\n\n\n“Knowing the amount of promotions ride-hailing companies spent throughout the changing seasons to win user adoption and the ability to calculate user overlap and retention rates has immensely helped us understand the sector”, says an analyst from a leading asset management firm.
\n\n\n\nPreviously, Measurable AI launched its flagship Asia Food Delivery Annual Report across 9 Asian markets, and has significantly broadened its coverage beyond food delivery and ride-hailing. The company now has ample coverage across e-commerce, gaming, fintech and travel sectors, with a key focus on Southeast Asia, Latin American, Middle East, Africa, and India.
\n\n\n\n![\"\"/](\"https://file.measurable.ai/ridehailing-report-1.gif\")
ABOUT
\n\n\n\nMeasurable AI is the leading transactional e-receipt provider for the digital economy across the emerging markets. Through aggregating and anonymizing e-receipt data, the company provides actionable and timely insights for data-driven investors and corporations around the world.
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內地外賣龍頭美團（3690.HK）旗下香港外賣平台 Keeta 於5月22日正式投入服務，標誌著美團首次進軍中國大陸以外的市場。在中國內地，美團分別與阿里巴巴（9988.HK）旗下的「餓了麼」，以及「滴滴出行」在外賣和叫車市場上競爭。美團的外賣服務在中國市場上處於領先地位，佔超過六成的市佔率。
\n\n\n\n綜觀香港外賣市場，Measurable AI 針對 Keeta、Deliveroo 和 Foodpanda 的電子消費數據，轉化成市場分析，整合出香港外賣平台最新市佔率變化。
\n\n\n\nMeasurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察，主要行業涵蓋美食外送、叫車服務、電商和電子支付等。
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n美團進軍香港前，本港外賣市場由德國的 Foodpanda (DHER.DE) 和英國的 Deliveroo (ROO.L) 主導。根據 Measurable AI 的外賣服務平台訂單數據，在2023年5月 (Keeta推出前)，Foodpanda在整體訂單量 (包括自取和外賣訂單) 佔據約 64％ 的市場佔有率，領先於 Deliveroo 的 36％。
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2023/06/06252023-Keeta_Inline02-1600x1000.png\")
回顧過去五年香港的外賣市場：曾有 3 間外賣平台競爭，分別是 UberEats、Foodpanda和Deliveroo。在 2019 年，Deliveroo 曾以超過六成的市佔率領先。然而，一場疫情徹底改變了整個市場，Foodpanda 和 Deliveroo 幾乎平分市場，而 UberEats 則在2021年底退出，當時 Uber Eats 的市佔率不足 5％。其後 Foodpanda 逐漸壯大，從 2022 年開始佔據了超過六成市佔率。
\n\n\n\n\n\n\n\n\n\n\n\nKeeta 選擇於繁忙的旺角 / 大角咀地區登陸香港市場，更在旺角街頭大派「頭啖湯」。根據 Measurable AI 的電子收據數據，我們分析了 Keeta 開業首月 (2023年5月22日至6月22日) 期間，在這特定區域裏三大外賣平台的訂單。考慮到 Keeta 尚未推出外賣自取服務，以下數據只包含外賣送餐的訂單。
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/06/06252023-Keeta_Inline03-1-1600x1000.png\")
根據 Measurable AI 的外賣訂單數據 (由於 Keeta 尚未推出自取服務)，在 Keeta 於香港開業首月期間，就外賣訂單量而言，Keeta 在旺角/大角咀地區佔約 20％的市佔率，Deliveroo 和Foodpanda 分別佔約 36％ 和 44％。
\n\n\n\n必須要強調，這些旺角/大角咀地區訂單僅佔 Deliveroo 當月總訂單約 5.4％，Foodpanda 則僅佔約 2.8％。如果只看外賣送餐的訂單，這些數字僅佔 Deliveroo 和 Foodpanda 外賣送餐訂單的 8.4％和 4.4％。
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/06/06252023-Keeta_Inline01-1-1600x1000.png\")
開業不久後，Keeta 進取地將其服務範圍擴展至九龍其他地區，包括尖沙咀、紅磡和深水埗。
\n\n\n\n根據 Measurable AI 的外賣訂單數據 (由於 Keeta 尚未推出自取服務)，在 Keeta 香港開業第二個月內 (6月27日至7月27日)，其外送訂單於尖沙咀、紅磡和深水埗一帶佔據 10% 市場份額。Deliveroo 和 Foodpanda 在此範圍的市佔率分別為 40% 和 50%。
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/06/06252023-Keeta_Inline04-1600x1000.png\")
隨著 Keeta 擴展到其他地區並繼續在香港營運，市佔率變化和訂單量增長等數據將受到高度關注。敬請留意 Measurable AI 即將出爐的分析文章，以最新、實時數據了解 Keeta、Foodpanda和 Deliveroo 之間外賣市場競爭。
\n\n\n\n\n\n\n\n\n\n\n\n另類數據公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察。我們專注於東南亞、中東、印度和南美等新興市場，主要行業涵蓋美食外送、叫車服務、電商和電子支付。
\n\n\n\nMeasurable AI 分享匿名消費者數據，並協助企業、投資者及研究機構了解並應對瞬息萬變的市場。通過收集海量的電子收據數據，我們整合出消費趨勢、市場佔有率變化，以及預測企業盈利及財務狀況。
\n\n\n\n如欲得到最新市場數據，歡迎以電郵 (business@measurable.ai) 聯絡我們。
\n\n\n\n下載最新市場報告：2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023
\n\n\n\n\n\n\n\n\n\n\n\n*文章內容並非投資建議，僅供參考。如要引用、轉發或修改文章內容，需先獲得書面同意。如有傳媒查詢，請發送電郵至 press@measurable.ai
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Chinese super app Meituan (3690.HK) launched its food delivery brand Keeta in Hong Kong on May 22nd, marking its first market expansion outside mainland China. Back home, Meituan is competing with Ele.me from Alibaba’s (9988.HK) on food delivery, and Didi Global for ride-hailing. Meituan’s food delivery service is leading in the Chinese market with over 60% of the market share.
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive dataset across the digital economy including the food-delivery industry.
\n\n\n\nIn Hong Kong, Meituan’s Keeta enters a battlefield commanded by Foodpanda (DHER.DE) from Germany and Deliveroo (ROO.L) from the UK. Our unique e-receipt data from Measurable AI reveals that in May 2023 (pre-Keeta launch), Foodpanda held around 64% of the market share, ahead of Deliveroo’s 36% in terms of overall order volume (including both pickup and delivery orders).
\n\n\n\nTo rewind the food delivery market in Hong Kong in the past five years: there were three players – UberEats, Foodpanda, and Deliveroo – once vied for dominance. Deliveroo used to lead the pack with over 60% of the market share in 2019. However, the pandemic shifted the game, with Foodpanda and Deliveroo splitting the market almost equally, and UberEats scooping up a modest 5% before bowing out at the end of 2021. Post-UberEats, Foodpanda gained momentum, securing over 60% of the market share by revenues from 2022.
\n\n\n\nKeeta made its first splash in Kowloon – specifically the bustling Mongkok / Tai Kok Tsui area. Delving into the granular e-receipt data from Measurable AI, we analyzed the orders from the three food delivery apps during Keeta’s inaugural month, from May 22 to June 22, 2023 in this specific region. Only delivery orders from this region where Keeta is available were considered, given that Keeta hasn’t launched the self-pickup service in app.
\n\n\n\nAccording to Measurable AI’s data on delivery orders (since Keeta hasn’t launched pickup service), Keeta takes around 20% of the market share in Mongkok / Tai Kok Tsui in its first month in Hong Kong in terms of delivery only order volume. Deliveroo and Foodpanda claimed around 36% and 44%, respectively. It’s important to highlight that these orders in the specific Mong Kok / Tai Kok Tsui region constitute around 5.4% of the total orders of Deliveroo in that month, and a mere 2.8 % for Foodpanda. When focusing solely on delivery orders, these figures only account for 8.4% and 4.4% of Deliveroo and Foodpanda’s totals, respectively.
\n\n\n\n\n\n\n\nNot long after, in a bold move, Keeta quickly expanded its service range to include more regions within Kowloon, namely Tsim Sha Tsui, Hung Hom, and Sham Shui Po.
\n\n\n\nAccording to Measurable AI’s data on delivery orders (given that Keeta still hasn’t yet introduced a pickup service),Within a span of just its second month (from June 27 to July 27) in the Hong Kong landscape, Keeta managed to carve out an impressive 10% share in terms of delivery-only order volume. Deliveroo and Foodpanda claimed around 40% and 50%, respectively.
\n\n\n\nAs of 2023 December (which is six months after Keeta’s debut), when including all services, Keeta’s market share by GMV actually stood at around 15% in Q4. In December, Keeta’s growth was unprecedented, it managed to own around 21% of market share in terms of GMV, with Foodpanda leading at 54% and Deliveroo at approximately 25%. Read our latest report: Watch Out! Keeta’s Rapid Rise in Hong Kong for more details.
\n\n\n\nIt will be intriguing to monitor the shifts and growth in market shares as Keeta expands to other regions and continues its operations in Hong Kong. Stay tuned as we continue to monitor the Hong Kong food delivery race between Keeta, Foodpanda, and Deliveroo in our upcoming blog post with Measurable AI’s unique consumer panel.
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai.
\n\n\n\nAt Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including travel, e-commerce, digital entertainment, food delivery and ride-hailing.
\n\n\n\nCheck out our latest Reports: 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
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The digital entertainment sector experienced phenomenal growth amidst the pandemic, with many games enjoying sustained popularity over the years. However, as we transition out of the pandemic, it seems that even some of the most successful games are beginning to lose their momentum.
\n\n\n\nMeasurable AI’s e-receipt panel, which also tracks in-app purchases for mobile apps and games, has been monitoring an intriguing trend in SE(NYSE:SE)’s game powerhouse Garena. The company’s successful battle royale game Free Fire has been experiencing a decrease in consumer spending in the wake of the pandemic over the past 16 months.
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets.
\n\n\n\nDespite some moderate upticks in overall consumer spending during Q1 2023 (the app is available in 50 countries), Free Fire’s overall revenue from in-app purchases on Google Play has been trending downward since 2022. Notably, current spending rates are still lower than they were a year ago.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/05/29052023-FreeFire_ConsumerSpendingVolume_Trend2022_2023Q1-1600x1000.png\")
A major blow to Free Fire came on February 14th, 2022, when the game, along with 53 other apps, was banned in India by the Ministry of Home Affairs. As tracked by Measurable AI’s in-app purchases data on Google Play, Free Fire’s game purchases in India collapsed, eventually falling to zero. However, a different version of the game, Free Fire Max, moved in to fill the void.
\n\n\n\nNevertheless, four months into the ban, Free Fire Max has yet to fully regain its predecessor’s lost ground. It has managed to recapture just about half of Free Fire’s average monthly purchase volumes, falling notably short of Free Fire’s peak performance.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/05/24052023-FreeFire_v3_India-1600x1000.png\")
When it comes to in-app purchases, Indian users of Free Fire averaged spending around USD 4.6 over the years, while Free Fire Max users spent slightly less, at around USD 4.
\n\n\n\nMeanwhile, it’s not only Free Fire facing challenges in India. Free Fire’s competitor, PUBG, developed by Tencent, was initially banned in 2020, followed by its alternative, BGMI, also being delisted from stores due to its Chinese ties.
\n\n\n\nIn Southeast Asia, Free Fire’s revenue trend has maintained relative stability, marked by minor fluctuations here and there. Encouragingly, Q1 2023 saw a robust growth in user spending, approaching the figures seen two years ago. This reflects that the region continues to be a robust market for the game despite the challenges it has faced elsewhere.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/05/24052023_Free-Fire-in-Southeast-Asia-1-1600x1000.png\")
After all, it’s difficult to keep a popular game forever, Free Fire’s slowdown perhaps signals an opportune moment for new games to take the spotlight.
\n\n\n\nOn that note, Garena has announced the forthcoming launch of their new game, Undawn, an open-world zombie survival mobile game. Set to debut in Southeast Asia across Singapore, Malaysia, the Philippines, Indonesia, and Thailand on June 29, it will be intriguing to see if this game can capitalize on the vacuum left by Free Fire’s downturn. How far will this new game go?
\n\n\n\nWe take this opportunity to introduce Measurable AI’s datasets in the dynamic gaming sector. Our dataset covers Apple App Store, Google Play, PlayStation, Steam, Microsoft Store, and Epic Games.
\n\n\n\nAt Measurable AI, we don’t just track downloads; we delve deeply into actual purchase activity and the behavioral patterns that drive it in the gaming/mobile app sector, providing precise insights rather than mere estimates. This enables companies and investors to pinpoint top-grossing in-app purchase items for new apps or games, scrutinize retention rates among big spenders, and gauge the purchasing performance of competitors.
\n\n\n\nRead our former blogs on how to use Measurable AI’s datasets to characterize the big whale spenders in games.
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai.
\n\n\n\nAt Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including travel, e-commerce, digital entertainment, food delivery and ride-hailing.
\n\n\n\nCheck out our latest Reports: 2019-2022 Food Delivery Annual Report for Asia, Asia & Americas Ride-hailing Report 2019-2023.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
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How do different bubble tea brands in Hong Kong fare on the delivery scene?
\n\n\n\n\n\n\n\nEvery Friday, the team at Measurable AI is rewarded with a bubble tea treat to mark the end of the workweek. Often we are confronted with the paradox of choice. Searching alone on the Deliveroo app in Hong Kong you will see more than 70 bubble tea shops. Same goes for Foodpanda. As a bubble tea lover since childhood days, this prompted my curiosity to discover which bubble tea shops fared the best in terms of delivery orders. And so I act on this inquisitive boba thirst and start digging into our datasets to see what insights I can unearth.
\n\n\n\nFirst, a brief history. Bubble Tea was created in the 1980s in Taiwan and quickly became a popular street food item. Hong Kong’s first sip of bubble tea was introduced in 1994 by St. Alp’s Tea House (remember the big foot logo?). Fast forward to 2023. Nowadays, most bubble tea is sold out of street side stalls or takeaway deliveries with a plethora of brand names and options to choose from.
\n\n\n\nWithout further ado, here are my findings from analysing Measurable AI’s Hong Kong food delivery datasets for Foodpanda and Deliveroo for the quarters 4Q22 and 1Q23.
\n\n\n\n\n\n\n\nKungFu Tea Leading the Pack on Both Delivery Platforms
\n\n\n\nThe clear winner in terms of number of bubble tea transactions ordered and delivered on Deliveroo is Kung Fu Tea (手作功夫茶). Accounting for 34% of all bubble tea delivery transactions in 4Q22, it has gained more traction in 1Q23 with 42% of market share by order volume. TenRen tea comes in second, accounting for 27% of market share in 4Q22 and then growing to 34% in 1Q23. Share Tea, on the other hand, comes in third but seems to be losing market share when it comes to number of orders, falling from 18% to 14% from 4Q22 to 1Q23 respectively. YiFang Fruit Tea (一芳台灣水果茶) also suffered a drop in number of delivery orders, from 10% to 4%.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/05/05162023-HKBubbleTea_Inline03-1600x1000.png\")
Turning to Foodpanda, the clear leader here when it comes to market share by number of delivery orders is Kung Fu Tea, accounting for 38% and 40% of total bubble tea delivered for 4Q22 and 1Q23 respectively. Runners up is A BouTea, accounting for 20% of market share in 4Q22 before dropping to 16% in 1Q23. In third place we have Comebuy, who also experienced a drop in delivery orders from 13% in 4Q22 to 9% in 1Q23.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/05/05162023-HKBubbleTea_Inline02-1-1600x1000.png\")
The average spend per transaction across the board on bubble tea deliveries on Foodpanda amounted to HKD139 for 4Q22 and HK126 for 1Q23. For Deliveroo, the average spend per delivery order on bubble tea is ~4.3% and ~36.5% higher than Foodpanda’s for 4Q22 and 1Q23 respectively, coming in at HKD145 and HKD172.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/05/05162023-HKBubbleTea_Inline01-1-1600x1000.png\")
From our e-receipt dataset, Deliveroo seems to have enjoyed a ~19% increase in number of bubble tea delivery orders from 4Q22 to 1Q23 while Foodpanda suffered a ~9% QoQ decline.
\n\n\n\n\n\n\n\nAcknowledging that Deliveroo receives a bigger dollar amount with each delivery transaction, how about the bubble tea brands themselves? Curious to see which one is enjoying the highest average order value per delivery, I pry again at our datasets to see what insights I can gather.
\n\n\n\nFor bubble tea deliveries on Deliveroo, the winner goes to Kung Fu Tea and runners up position to Tenren Tea, which averaged at HKD214 and HKD187 respectively for 1Q23.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/05/05162023-HKBubbleTea_Inline05-1600x1000.png\")
Looking at our Foodpanda e-receipt dataset, for 1Q23, Gongcha holds the number one position when it comes to the highest average spend per delivery at HKD391 per receipt. Second place goes to Nut Tea (HKD354) and then Celestial Teaing (HKD189). For 4Q22, Gong Cha also held the winning spot, averaging HKD318 per delivery receipt with Celestial Teaing next in line at HKD300 per delivery receipt.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/05/05162023-HKBubbleTea_Inline04-1600x1000.png\")
At Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative dataset across the digital economy. Check our Latest 2019-2022 Food Delivery Annual Report.
\n\n\n\nAbout the Author
\n\n\n\nMichelle Tang is passionate about food and cooking. She loves finding answers and storytelling with insights derived from datasets. If you would like to dive deeper into our fast food delivery datasets or wish to see a sample, you can reach her at michelle@measurable.ai.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
In the wake of the global pandemic, the ride-hailing industry all over the world has undergone a multitude of changes and faced numerous challenges.
\n\n\n\nIn Measurable AI‘s latest annual report on Ride-hailing in Americas (2019-2023), covering 6 regions: Brazil, Mexico, Argentina, Chile, Colombia, and the US, we dive into the post-pandemic landscape of the ride-hailing industry, examining its evolution, the resilience of key players, and the user behavior change.
\n\n\n\n\n\n\n\n\nSign up for the full report HERE
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![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/05/05122023-AR-Americas_Inline03-1600x1000.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/05/05122023-AR-Americas_Inline04-1-1600x1000.png\")
In this blog, we’ll preview some of the highlight analysis from the Americas Ride-hailing annual report (2019-2023). First stop, Brazil.
\n\n\n\n\n\n\n\nThe pandemic caused a significant decline in the ride-hailing industry in the Americas, as demand plummeted due to lockdowns and the shift to remote work. As the restrictions gradually eased, the consumption for ride-hailing services started to recover. Post-pandemic, the ride-hailing industry has shown resilience and adaptability, major players have successfully navigated the challenges and are poised for continued growth.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/05/05122023-AR-Americas_Inline02-1600x1000.png\")
The ride-hailing industry in Brazil experienced a significant decline in demand during Q2 2020, mainly due to the impact of the pandemic and the associated lockdown measures. However, the market demonstrated remarkable resilience and eventually bounced back, with demand levels returning to pre-pandemic figures. From 2019 to 2022, the demand trend for ride-hailing services in Brazil exhibited a compound annual growth rate (CAGR) of 20.6% based on order volume, highlighting the sector’s robust recovery.
\n\n\n\nFurthermore, Brazilian riders’ average order value (AOV) has shown consistent growth over time. Starting at around 12 BRL, the AOV steadily increased and reached approximately 15 BRL in Q1 2023. This positive trajectory in both demand and average order value indicates the strong performance and potential of Brazil’s ride-hailing market, as consumers continue to embrace these services as an essential mode of transportation in their daily lives.
\n\n\n\n\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/05/05122023-AR-Americas_Inline01-1600x1000.png\")
In terms of the ride-hailing competition, Uber has held a dominant position in Brazil’s ride-sharing market since 2019, outpacing competitors like Ninetynine. However, during the pandemic, both Uber and Ninetynine faced substantial challenges as consumer demand plummeted due to lockdowns and social distancing measures. Despite these hardships, Uber demonstrated resilience and adaptability by implementing various strategies to weather the storm and protect its market position.
\n\n\n\nAs the pandemic situation improved and restrictions were lifted, Uber managed to gradually regain consumer confidence and rebuild its market share. By focusing on safety measures, innovative solutions, and promotional efforts, the company succeeded in attracting more users and increasing its order volume. By Q1 2023, Uber’s market share by order volume had risen to nearly 60%, showcasing the company’s strong recovery and commitment to maintaining its leading position in Brazil’s ride-sharing market.
\n\n\n\n\n\n\n\nSign up to read FULL report HERE
\n\n\n\n\n\n\n\nCheck out our former report on Asia online delivery (food+grocery).
\n\n\n\n\n\n\n\nABOUT MEASURABLE AI
Measurable AI is the leading transactional e-receipt provider for the digital economy across the emerging markets. Through aggregating and anonymizing real purchase e-receipt data from their consumer panel, the company is able to provide actionable and timely insights for data-driven investors and corporations around the world.
When it comes to burger deliveries in Hong Kong, how does Danny Meyer’s Shake Shack stack up in Hong Kong against the other burger joints?
\n\n\n\nWe take a fun dive into Measurable AI’s granular email receipt dataset for Foodpanda and Deliveroo orders in Hong Kong for 2H22 (July – Dec 22). From that we deduced which are the most popular burger joints in Hong Kong. We then took a look at the average amount spent and the amount actually charged (after promotional discounts) across the most popular burger chains.
\n\n\n\n\n\n\n\nAt first glance, McDonald remains the most popular burger joint amongst both food delivery aggregators in 2H22.
\n\n\n\nIn fact, ~83% of burger delivery orders from Foodpanda originate from McDonalds. Runners up was Shake Shack (6%), then Five Guys (3%), Kabo (2%) and Hong Kong Burger (1%) .
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/05/04252023-HKBurgers_Inline02-1-1600x1000.png\")
For Deliveroo, Mcdonalds accounted for 50% of all burger orders. This was then followed by Mos burger (29%), Shake Shack (11%), Kabo burger (5%) and then Beef and Liberty (1%).
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/05/04252023-HKBurgers_Inline01REVISED-1-1600x1000.png\")
For McDonald’s (excluding McCafe), the average spend per total order (top line) is ~125 HKD per receipt on Foodpanda. After promotional discounts, this amount averages to ~119 HKD per receipt. On Deliveroo, the average price per order is ~114 HKD, and after discounts, it is ~108 HKD.
\n\n\n\nFor Shake Shack Foodpanda orders, this number is closer to 203 HKD per receipt, with total charge after discounts being ~171 HKD. For Shake Shack orders on Deliveroo, this total price per order is ~178 HKD, and ~174 HKD after discounts.
\n\n\n\nAs for Five Guys (which only delivers on Foodpanda), the average spend per order is ~197 HKD while the average total charged (after discounts) is ~181 HKD.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/05/04252023-HKBurgers_Inline03REVISED3-1-1600x1000.png\")
Taking out Beef and Liberty which is more on the premium side – and therefore more ‘premium pricing’ – for gourmet burgers, averaging the spend across both delivery aggregators, the highest AOV per ‘fast food’ type of burger delivery orders belongs to Five Guys, followed by Shake Shack and then local player Kabo.
\n\n\n\n\n\n\n\nAs an avid Shake Shack lover, I was curious to take a deeper dive into the datasets to see what insights I could unearth about my most loved fast food burger joint.
\n\n\n\nFrom our Deliveroo 2H22 dataset, for those e-receipts with location data captured, most delivery orders originated from the cloud kitchen location in East Pavillion (Quarry Bay), accounting for 25% of total Shake Shack delivery orders on Deliveroo. Next in line for the ‘busiest’ delivery orders from Deliveroo was the Citygate Outlet Shake Shack (15% of total delivery orders. This was then followed closely by the Ocean Terminal Shake Shack (13% of total orders).
\n\n\n\nThe locations which received the highest value per order were the Shake Shack in Elements (276 HKD / $35.5), Ocean Terminal in Tsim Sha Tsui (202 HKD / $26), then Citygate Outlets in Tung Chung (176 HKD / $22.7). The Quarry Bay East Pavillion cloud kitchen store, averaged at around 143 HKD ($18.45) per transaction.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/05/04252023-HKBurgers_Inline04-1-1600x1000.png\")
Looking at our Deliveroo 2H22 dataset, 24.35% of Shake Shack delivery orders incurred a delivery fee with an average delivery charge of around 18.3 HKD / $2.36. For Foodpanda 2H22, 19.45% of Shake Shack orders incurred a delivery fee that averaged at around 25.5 HKD / $3.29.
\n\n\n\nIs it the ShackBurger, SmokeShack, Chicken Bites or the Custards? Combo or single meals? Again, we dig into our dataset to unearth what most Shake Shack fans love to order for delivery.
\n\n\n\nFrom our Deliveroo 2H22 dataset, roughly 33% of people opted for combo meals, averaging ~204 HKD / $26.30 a meal. Of those who ordered the combo meals, ~65% ordered a combo meal for one (‘Shack for 1”) at an average spend of ~ 179 HKD / $23, with the remaining ordering a “Shack for 2” with an average spend of ~ 256 HKD / $33.
\n\n\n\nMeanwhile, taking a look at Foodpanda 2H22 dataset, combo meals accounted for ~42% of the total Shack order. Roughly 74% of those combo orders were a “Shack for 1” with an average spend of ~ 124 HKD / $16 and the remaining 26% of combo orders were a “Shack for 2” with an average spend of ~ 241 HKD / $31.
\n\n\n\nThe Shackburger was by far the most featured item ordered across both platforms with 45% of orders in 2H22 from Foodpanda featuring the “Shackburger” and 29% on Deliveroo. On both platforms, very few people ordered delivery for the more ‘luxurious’ type of burgers like the Black Truffle Burger. From our Foodpanda e-receipt dataset, the Black Truffle burger orders accounted for roughly 10% of total Shack orders and on Deliveroo, only a mere 2% of total Shake orders.
\n\n\n\nWe can thus surmise from our delivery datasets that during 2H22, people who were together or with a friend were more likely to be users of Deliveroo while those rocking it solo or by themselves more often were more inclined to be Foodpanda users.
\n\n\n\nInterested to understand more about the burger delivery landscape? Feel free to reach out to us for insights.
\n\n\n\n\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative dataset across the digital economy. Check our Latest 2019-2022 Food Delivery Annual Report.
\n\n\n\nMichelle Tang loves finding answers and storytelling with data. If you would like to dive deeper into our burger statistics or other fast food related sort of delivery data, you can reach her at michelle@measurable.ai.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
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Southeast Asia’s travel industry has experienced a significant recovery post-pandemic, revitalizing the economy and supporting businesses reliant on tourism. Let’s explore the travel rebound in the region by examining Traveloka, one of the largest online travel agencies (OTAs) in Southeast Asia, using Measurable AI’s very own unique e-receipts data.
\n\n\n\nMeasurable AI is the leading granular e-receipt provider for consumer intelligence in the emerging markets with a core focus in South East Asia, Middle East, India and Latin America.
\n\n\n\nWhen travel restrictions begin to ease, the demand naturally surges – Traveloka is a prime example of this trend. The flight booking monthly order volume on Traveloka began to pick up steadily at the beginning of 2022, and the uptrend continued throughout the year, with more people eager to explore destinations near and far.
\n\n\n\nBy the end of Q1 2023, Traveloka’s monthly flight booking order volume had experienced a remarkable 92.4% CAGR over the past two years.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/04/04212023-IndonesiaTraveloka_Inline01-1600x1000.png\")
According to Measurable AI’s granular e-receipts data in 2023 Q1, Lion Air, Super Air Jet, Citilink emerge as the Top 3 airliners booked on Traveloka in terms of order volume. They are closely followed by AirAsia, Nok Air, and Batik Air, each accounting for approximately 8% of the market share. Indonesia’s largest low-cost airline, Lion Air, holds the title of the most popular airline on Traveloka during the first quarter 2023, capturing around 22% of all flight bookings on the platform.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/04/04212023-IndonesiaTraveloka_Inline02REVISED-1600x1000.png\")
Delving deeper into traveler behavior on Traveloka, we explore the typical booking lead time for flights. Measurable AI‘s e-receipt data reveals that users on Traveloka tend to be more spontaneous than those who plan far in advance. Approximately 11% of flight orders were made within 24 hours of the departure date, while around 3.7% of orders were placed at least two months ahead of time.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/04/04212023-IndonesiaTraveloka_Inline03-1600x1000.png\")
Our Traveloka data from Q1 2023 also shows that the average booking lead time is around 12 days before the flight’s departure date, and the median booking lead time is a mere 4 days prior to the outbound flight, further emphasizing the spontaneous nature of the majority of Traveloka users.
\n\n\n\nAs Southeast Asia’s travel industry continues to flourish, Traveloka is well-positioned to remain a key player in the region, catering to the diverse needs of travelers. For granular datasets and more detailed researches on the travel industry, please contact us at business@measurable.ai.
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai.
\n\n\n\n
At Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, including travel, e-commerce, food delivery and ride-hailing. Check out our latest 2019-2022 Food Delivery Annual Report for Asia.
*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
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Did you know that Indonesia is the fourth biggest producer and exporter of coffee in the world?
\n\n\n\nAccording to Mordor Intelligence, the coffee market in Indonesia is projected to reach USD$ 2.32 billion by 2025, growing at a CAGR of 8.2% during the forecast period. Such growth in demand can be attributed to the increasing consumer awareness and purchasing power to afford specialty coffee (priced at more than US$3 a cup), the rising demand for ready-to-drink coffee and the proliferation of coffee shops and cafes springing up across the country opened mainly by those who returned home from abroad.
\n\n\n\nWith such a rich coffee culture and the rise of modern coffee shops, it is no surprise to witness an emergence in both local and international franchises to cater to the demand for high-quality coffee in the country. In this article, we will take a closer look at some of the major coffee chains in Indonesia based on our email receipt panel for GrabFood and GoFood delivery.
\n\n\n\nFor those unaware, Measurable AI is the largest proprietary e-receipt data provider for the digital economy across the emerging markets. Our data is available on a timely basis on a granular level and the insights derived are used by some of the largest food delivery, ride hailing, e-commerce and financial institutions around the world.
\n\n\n\n\n\n\n\nFirst, we need to caveat our dataset – not all coffee chains deliver on both Grab and Gojek. Also, for the purposes of this analysis, we will only be looking at 4Q22 data from our consumer panel (Oct-Dec 22).
\n\n\n\nTaking a look at our 4Q22 data for GrabFood, local grab-and-go coffee player Kopi Kenangan wins the leadership position, followed by Daily Dose. Next comes lifestyle cafe retailer J.C. Donut owned by Johnny Andrean Group, and then Point coffee.
\n\n\n\nIn terms of specialty coffee, Fore coffee seems to receive the most delivery orders for 4Q22 on GrabFood, followed shortly by international player Starbucks and Flash coffee, one of Asia’s fastest-growing technology-based coffee chains.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/04/03272023-IndonesianCoffee_Inline02-1-1600x1000.png\")
Turning to our GoFood delivery dataset, our data reveals that Kopi Kenangan emerges as the clear winner in terms of total number of transactions. Runners up position goes to Starbucks then Flash coffee.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/04/03272023-IndonesianCoffee_Inline01-1-1600x1000.png\")
While Kopi Kenangan is the clear winner in terms of number of orders across both GrabFood and GoFood, which coffee chain receives the highest order value per transaction?
\n\n\n\nOnce again, let’s see what our datasets have to say.
\n\n\n\nLooking at our GoFood dataset alone, the average spend across the major international and local coffee franchises hovers at around $7.09.
\n\n\n\nFore coffee, an on-demand specialty coffee store, registered the highest spend with an average spend of $10 per transaction last quarter according to our GoFood dataset. This is followed shortly by Kopi Kenangan at $8.25 then Foresthree coffee at $6.95 per transaction.
\n\n\n\nOur dataset also revealed that the most aggressive promotional discounting was utilized by Fore coffee, followed by Foresthree and Excelso.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/04/03272023-IndonesianCoffee_Inline03-1-1600x1000.png\")
Meanwhile, on GrabFood, the average spend across the major international and local coffee franchise hovers around $6.62.
\n\n\n\nStarbucks registered the highest average order per transaction at $9.78. Next was Daily Dose ($9.3) and then J.C. Donut ($9.23).
\n\n\n\nFrom our GrabFood dataset, the most aggressive promotional discounts used were from Snug coffee, Coffee Bean and Tea Leaf, Daily Dose, Flash and Fore coffee.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/04/03272023-IndonesianCoffee_Inline04-1-1600x1000.png\")
Measurable AI’s granular datasets allows us to understand more about the delivery fees charged on the food delivery platforms for each transaction.
\n\n\n\nTaking a dive into both our GoFood and GrabFood Indonesia delivery datasets, the average delivery fee for coffee orders seems to average at around $0.22 and $0.72 for GoFood and GrabFood respectively.
\n\n\n\nOn the GoFood platform, the highest delivery fees were for Starbucks and Fore coffee delivery orders. Meanwhile, the highest delivery fees incurred on GrabFood were for JC Donut, Starbucks and Fore coffee orders.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/04/03272023-IndonesianCoffee_Inline05-1-1600x1000.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/04/03272023-IndonesianCoffee_Inline06-1-1600x1000.png\")
The Indonesian coffee market is undeniably hot thanks to the growing middle class and a more cosmopolitan, trending young population. One trend we find particularly interesting is the emergence and spread of grab-and-go coffee chains which aims to strike a “middleground” when it comes to pricing between roadside instant coffee stores (roughly priced at $0.20 a cup) and more specialty coffee stores like Starbucks priced at roughly $5 a cup. Two tech-enabled coffee chains that are aggressively seizing this price advantage (without sacrificing quality) and scaling rapidly are Kopi Kenangan and Flash coffee.
\n\n\n\nKopi Kenangan was founded in 2017 and is Indonesia’s fastest growing non-franchise tech-enabled grab-and-go coffee chain with more than 840 stores spread across more than 60 cities in Indonesia. They became the first F&B Unicorn in SouthEast Asia in December 2021 and are serving more than 3 million cups of coffee each month. Last October 2022, they made their first foray outside of Indonesia into the Malaysian market in KLCC, selling more than 1,440 drinks on its second day of operations.1
\n\n\n\nSince its operations day one, management opted for a non-franchise model so as to preserve quality and improve ingredients and equipment instead. With this more efficient business model, Kopi Kenangan – which also owns Chigo by the way – is able to shorten its payback period and invest the returns to open new outlets faster.
\n\n\n\nApart from distributing its coffees on the major food delivery platforms, Kopi also has its own app which, according to the company, digital sales accounts for ~70% of its total sales. On the Indonesian food delivery platforms alone, we observed from our datasets that Kopi orders account for roughly 48% and 28% of the total number of major coffee chain transactions on GoFood and GrabFood respectively during 4Q22. While the average price of a Kopi latte ranges from $1.72 to 2.44, the average spend per order for 4Q22 as gleaned from our transaction datasets are $8.25 and $5.13 on GoFood and GrabFood respectively.
\n\n\n\nInterestingly enough, even throughout Covid-19 where most hospitality services were bleeding and shutting down, the company proved its resilience. During 2021, Kopi managed to open 191 new outlets, up 41% from the previous year.
\n\n\n\nNow, looking at Singapore headquartered and Rocket Internet backed Flash Coffee, its premise is similar to Kopi Kenangan when it comes to serving quality specialty coffee at affordable prices. Similar to Kopi, Flash is tech-enabled with its own app whereby users can order and pay online then choose to pick up at one of their iconic yellow storefronts or get it delivered through one of the major food delivery platforms.
\n\n\n\nStriking out its first Indonesian store in 2020, this digital-first coffee chain has more than quadrupled its store presence since its Series A fundraise in April 2021, from 50 to over 200 stores spread out across Indonesia, Singapore, Thailand, Hong Kong, Taiwan, South Korea and Japan.
\n\n\n\nFor Indonesia alone, the average price of a Flash latte in Indonesia ranges from $1.59 to $2.12. Our datasets reveal that the average spend per order for 4Q22 is roughly $5.07 and $6.40 on GoFood and GrabFood respectively. Amongst the major coffee chains in Indonesia, in 4Q22, Flash accounted for roughly 6% of total coffee transactions on GrabFood and 15% on GoFood.
\n\n\n\nCurious to see what the percentage customer overlap is and how it has changed in the past year up until now amongst these two tech-enabled grab-and-go coffee chains? Or want to get a glimpse into what are the most popular items ordered and how it has changed recently? Feel free to reach out to the author Michelle at michelle@measurable.ai if you would like to learn more about the coffee market in SouthEast Asia and access more granular insights and trends underpinning the food delivery sector.
\n\n\n\n\n\n\n\nAbout Measurable AI
\n\n\n\nAt Measurable AI, we build and own a unique email receipt consumer panel and have become the largest transactional email receipt data provider for the emerging markets. We are well regarded for the granular insights that can be extracted from our comprehensive datasets across the digital economy, particularly in the food delivery and ride hailing sectors. Check out our latest 2019-2022 Food Delivery Annual Report for Asia.
\n\n\n\nMichelle Tang loves solving problems and storytelling with data. If you would like deeper insights into the coffee and beverage market from Measurable AI’s comprehensive food delivery datasets, you can reach her at michelle@measurable.ai.
\n\n\n\n*The content is for informational purposes only. You should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
Pizza has always been one of the most popular fast food delivery options. After all, who has the willpower to refuse an alluring slice of pizza?
\n\n\n\nMeasurable AI is the largest e-receipt data provider for the emerging markets specializing in the digital economy. In light of Pi day yesterday (14th March), we take a look at our own “pie” data – i.e. pizza. In particular, we delve into the Vietnamese pizza delivery market as discerned from our 2H22 Grab dataset to see what insights can be unearthed. Some food for thought indeed.
\n\n\n\nAt first glance, for 2H22, our granular GrabFood dataset reveals that the most popular franchise pizza joints in Vietnam by number of total orders in pecking order are Pizza Hut, Pizza Fast Feel, Pizza King, Pizza 4Ps, The Pizza Company, then Domino’s Pizza.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/03/03102023-VietnamPizzaWar_Inline01-1-1600x1000.png\")
So how much is the average pizza delivery order in Vietnam? As discerned from our GrabFood delivery dataset, we can deduce that the average price of a pizza delivery order is roughly 261448 VND (US$11).
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/03/03102023-VietnamPizzaWar_Inline03-1-1600x1000.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/03/03102023-VietnamPizzaWar_Inline02-1600x1000.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/03/03102023-VietnamPizzaWar_Inline02-1-1600x1000.png\")
Amongst the five pizza joints, it seems that The Pizza Company averages out to be the most expensive pizza delivery per order when compared to the rest at 527250 VND (US$22.4) per order. Pizza King seems to be the cheapest per order, averaging 165000 VND (US$7) per order with Pizza Hut somewhere in between at roughly 24500 VND (US$10.4) per order.
\n\n\n\n\n\n\n\nHow about the most popular payment methods when opting for pizza delivery orders? Our Grab Vietnam dataset for 2H22 reveals that ATM* is the most popular payment method in Vietnam, followed shortly by cash, then Visa.
\n\n\n\n*Note that Vietnamese ATM Cards (NAPAS) is a payment method that allows customers to perform payments via domestic cards branded by NAPAS.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/03/03102023-VietnamPizzaWar_Inline05-1-1600x1000.png\")
Interestingly enough, while ATM is the most popular payment method, the highest spend per payment method is by Visa with 218607 VND (US$9.30) being the average payment on Visa. For ATM, this figure is 216482 VND (US$8.95).
\n\n\n\n\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/03/03102023-VietnamPizzaWar_Inline04-1-1600x1000.png\")
So that is our take on the pizza delivery market for Vietnam as discerned from the insights derived from our granular e-receipt dataset from Grab. If you would like to learn more or dig deeper into the specifics of what items were actually ordered per receipt, please contact Michelle or the team at business@measurable.ai.
\n\n\n\n\n\n\n\nDOWNLOAD our Asia Online Delivery Report (2019 -2022) to dive into the Asia food delivery market across 9 regions.
\n\n\n\n\n\n\n\nMichelle Tang is a Managing Director at Measurable AI who draws on her experience from consumer data, tech and equity investing to help evangelize alternative data and its vast use cases. Driven by a passion for data analytics and consumer intelligence, she enjoys research and storytelling with insights derived from Measurable AI’s unique e-receipt dataset. You can reach her for data enquiries and trial data at michelle@measurable.ai.
\n\n\n\n
Measurable AI is the leading granular e-receipt provider for consumer intelligence in the emerging markets with a core focus in South East Asia, Middle East, India and Latin America. We cover the digital economy with our most popular sectors being ride hailing, food delivery, e-commerce and digital payments.
*The Content is for informational purposes only. You should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
In Indonesia’s ride-hailing market, Gojek and Grab have been dominating as the two main players. When it comes to order volume across the year 2022, the two companies are competing head to head with very close market share. As of 2023 January, the two companies equally share the market at around 50% by order volume including both two-wheelers and four-wheelers, according to Measurable AI’s very own unique e-receipts panel.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/03/03012023-IndonesiaRideSharing_Inline01-1600x1000.png\")
At Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive dataset across the digital economy including the ride-hailing industry.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/03/03012023-IndonesiaRideSharing_Inline03REVISED-1600x1000.png\")
Despite being the two dominant players in Indonesia’s ride-hailing market, Grab and Gojek have only been able to capture a relatively small overlap between their user bases. The fact that only around 8% of ride-hailing users in Indonesia have used both platforms in the past year (between January 2022 and January 2023) may be surprising, given the size of the market and the services offered by each company. One possibility is that Grab and Gojek have each cultivated a loyal user base that is resistant to switching to a competitor.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/03/03012023-IndonesiaRideSharing_Inline04-1600x1000.png\")
The ride-hailing preferences of users in Indonesia are heavily skewed towards two-wheelers, with Grab and Gojek both offering popular motorbike ride-sharing services. However, when it comes to the breakdown between two-wheelers and four-wheelers, the two companies display notable differences in user behavior.
\n\n\n\nOn Grab, 34% of users only use two-wheel services such as GrabBike, with another 26% solely opting for four-wheel car rides. Lastly, 40% of Grab’s user base actually switches between the two types of products. Meanwhile, on Gojek, the trend is similar, around 44% of users opting for both car and bike services. However, Gojek’s user base is a bit more skewed towards two-wheel services, with a significant 40% of users solely using two-wheel services, but only 16% only using four-wheel services for their ride-hailing needs.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/03/03012023-IndonesiaRideSharing_Inline05-1600x1000.png\")
The user preferences on product types of both companies help explain the differences on the ride-hailing AOV trend in Indonesia. Grab’s users overall average order value is a bit higher than Gojek throughout 2022 January to 2023 January, though the difference is getting smaller in recent months. According to Measurable AI’s granular e-receipt data, the average order value (before incentives) on ride-hailing in Indonesia hovers around 28,000 to 30,000 IDR during 2022 January to 2023 January.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/03/03012023-IndonesiaRideSharing_Inline02-1600x1000.png\")
With the continued growth of Indonesia’s economy and population, the ride-hailing market is poised for further expansion. It will be interesting to see how Gojek and Grab continue to evolve and differentiate themselves to capture new users and maintain their dominance in the Indonesian ride-hailing market.
\n\n\n\nThe duopoly of Gojek and Grab continues to shape the ride-hailing market in Indonesia, with both companies offering a wide range of services beyond just transportation. To learn more about other verticals of the digital economy such as food-delivery, logistics, e-commerce please subscribe to our newsletter, or follow us on Linkedin!
\n\n\n\nTo be Continued…
\n\n\n\nFollow our insights blog to keep abreast of the latest developments underpinning the hotly contested food delivery industry across more markets. Or if you are a hedge fund, corporation or in research and looking for the most up-to-date transactional data insights, please reach out to us at business@measurable.ai to learn more.
\n\n\n\n\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at charlie@measurable.ai.
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative dataset across the digital economy, particularly for our consumer insights relating to the food delivery industry.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
Just a few months since its debut, the free ChatGPT chatbot and its peer products powered by OpenAI have become all the rage. Curious to understand the adoption trend since its launch and who the major users of ChatGPT are, we at Measurable AI take a dig into our “treasure trove of insights” garnered from our proprietary email receipt panel.
\n\n\n\n![\"ChatGBT](\"https://blog.measurable.ai/wp-content/uploads/2023/02/02152023-ChatGPT_Inline01_REVISED2-1600x1000.png\")
As revealed from Measurable AI’s consumer e-receipts panel, ChatGPT’s daily new signups experienced a rapid boost shortly after launch, followed by a slowdown during the holiday season. Entering 2023, it experienced exponential growth over a month and has reportedly gained over a whopping 100 million users.
\n\n\n\nAlong with the success of ChatGPT, POE by Quora, another chatbot-style app powered by OpenAI, also gained significant momentum. Our data indicates that POE experienced rapid growth within a week.
\n\n\n\nDuring the same week, Bing, Microsoft’s very own search engine, announced its waitlist for OpenAI powered version and saw a huge surge in the number of people signing up. While ChatGPT was making waves in the world of AI generated chatbots, Bing was generating buzz in the search engine industry for its use of AI technology to deliver more relevant search results. As more people caught wind of Bing’s innovative approach, its waitlist quickly grew.
\n\n\n\nWith ChatGPT gaining so much popularity, who exactly are the early adopters?
\n\n\n\nThanks to the billions of e-receipts data points, at Measurable AI, we are not only able to discern the growth trend of a specific company, but also its overlap with other businesses as well as the interest groups or profile of their users. Our email dataset reveals that several groups of users heavily overlap with ChatGPT users. Let’s explore these groups of users.
\n\n\n\nBased on the e-receipts and confirmations captured by Measurable AI’s consumer panel, crypto users are among the biggest group of users who overlap with chatGPT users. Among all of the ChatGPT users, approximately 36% of them are also crypto users (based on the top crypto exchange and website users captured by Measurable AI).
\n\n\n\n![\"ChatGBT](\"https://blog.measurable.ai/wp-content/uploads/2023/02/02152023-ChatGPT_Inline02-1600x1000.png\")
This is surprisingly high. To give you some perspective, amongst the ChatGPT users in our panel, around a similar percentage (35.6%) of users also are Facebook users.
\n\n\n\nWhat about social media users? In addition to Facebook, professional users on LinkedIn make up a whopping 33% of ChatGPT’s overlap, followed by Twitter at around 26.4%, and Quora at 19%. For the younger generation, the overlap rate is lower than expected, with only around 6% of ChatGPT users found on TikTok and only 3.4% on Snapchat.
\n\n\n\n![\"ChatGBT](\"https://blog.measurable.ai/wp-content/uploads/2023/02/02152023-ChatGPT_Inline04-1600x1000.png\")
The third biggest group of users that overlap heavily with ChatGPT are users of Adobe (18.5%) and Canva (9.2%). Followed by users who write a lot, for example, approximately 10% of the users also use Substack, and 6.8% use Grammarly.
\n\n\n\nTo get a feel what general consensus was thinking, we conducted a poll on Twitter before publishing this blog article. The results indicate that most people assumed that developers should be the most heavy users of ChatGPT.
\n\n\n\nSurprisingly, this is not the case. According to Measurable AI’s data, only around 4.4% of chatGPT users are also Github users.
\n\n\n\n![\"ChatGBT](\"https://blog.measurable.ai/wp-content/uploads/2023/02/02152023-ChatGPT_Inline03-1600x1000.png\")
It’s incredible to see the widespread adoption and enthusiasm around ChatGPT in such a short time frame. With the help of Measurable AI’s real time consumer e-receipts panel, we’re able to monitor this explosive growth and take a closer look at it.
\n\n\n\nBy gaining insights into the user groups and demographics that are adopting these cutting-edge technologies, we can better understand how AI is shaping our lives and businesses. At Measurable AI, with the help of Measurable AI’s real time consumer e-receipts panel, we will continue to monitor the trends and provide the most accurate data insights for companies that are looking to stay ahead of the curve in all kinds of industries.
\n\n\n\nInterested in finding out more about Measurable AI’s consumer email receipts panel? Talk to us to learn how transactional datasets can help your business.
\n\n\n\nWho would have thought that just two years after the last AI buzz, we’d see another chatbot steal the spotlight? This time, it’s DeepSeek, an AI marvel from a Chinese firm.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/02/IMG_6644-1600x1000.png\")
Measurable AI’s consumer panel data reveals that on its 10th day post-launch, DeepSeek garnered 10 times the number of new user registrations compared to ChatGPT during its launch time. This milestone not only underscores DeepSeek’s extraordinarily successful debut but also highlights a growing public interest in exploring alternative AI products.
\n\n\n\nThe surge of Deekseep slowed down a bit after the launch of ChatGPT’s o3 mini model. But it only marks the beginning of the AI battleground. Keep up with us for more scoops on AI product trends with real consumer data!
\n\n\n\n（Credits to Midjourney, a generative AI powered image creation program who helped us create this futuristic blog header.)
\n\n\n\n\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative dataset across the digital economy. Check our Latest 2019-2022 Food Delivery Annual Report.
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at charlie@measurable.ai.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n\n\n\n\n
A Three Part Analysis of Defining Trends from 2019-2022
\n\n\n\n\n\n\n\nMeasurable AI releases its inaugural Asia Online Food and Grocery Delivery Overview Report capturing key insights across 9 Asian markets from 2019 to 2022: Singapore, Indonesia, Malaysia, Thailand, Philippines, Hong Kong, Taiwan, India, Japan.
\n\n\n\nThe report releases major findings based on Measurable AI’s proprietary e-receipt panel in three parts: food delivery demand and consumption trends, market share changes, and consumer loyalty amongst the key players in each country. With more than 2 million unique users, Measurable AI owns the largest emerging markets consumer e-receipts panel in the world.
\n\n\n\n\n\n\n\n\n\n\n\n\n“The pandemic has brought about rapid changes in the food delivery industry worldwide, both in terms of merger and acquisition activity as well as shifts in consumer behavior,” said Charlie Sheng, co-founder of Measurable AI and co-author of the report. “We have had several clients enquire about market share changes and shifts in consumer spending behavior for the Asia market so we thought it apt to write a report that provides an overview of the key observations as gleaned from our datasets.”
\n
In the fast-growing and disruptive digital sectors, traditional data sources may not be enough to provide investors and corporations with the answers they need. This is more often the case in emerging markets where data is more opaque and harder to access. This is where alternative data sources such as Measurable AI’s e-receipt panel steps in to address the gaps in knowledge.
\n\n\n\nMeasurable AI has pioneered a sustainable data ecosystem whereby users of its two consumer apps are rewarded by its own cryptocurrency Measurable Data Token (MDT) powered on the blockchain. Users can opt-in to share de-identified data with Measurable AI for its aggregated insights.
\n\n\n\nThe Asia Food Delivery Market report is also available as NFT whereby the 66 holders will have exclusive access to the underlying datasets used in the report.
\n\n\n\n\n\n\n\n\n\n\n\n\n“Measurable AI’s granular dataset helped us answer pressing questions pertaining to market share changes as well as allowing us to understand our own consumer purchasing behavior better”, noted a data insights lead from a major food delivery aggregator. “Furthermore, by calculating our user base overlap with our competitors, it helped us create a more effective loyalty program and promotional strategy to improve our customer retention.”
\n
The release of the report comes on the heels of Bryan Tsui, previous senior Asia-Pacific director of revenue for Yipit Data, joining the firm as its new Chief Executive Officer.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/02/MAI_AnnualReport_2022_Linkedin_01SQ.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/02/MAI_AnnualReport_2022_Linkedin_04SQ.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/02/MAI_AnnualReport_2022_Linkedin_03SQ.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/02/MAI_AnnualReport_2022_Linkedin_06SQ.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/02/MAI_AnnualReport_2022_Linkedin_05SQ.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2023/02/MAI_AnnualReport_2022_Linkedin_02SQ.png\")
Founded in 2018, Measurable AI is the leading transactional e-receipt provider for the digital economy across the emerging markets. Through aggregating and anonymizing real purchase e-receipt data from their consumer panel, the company is able to provide actionable and timely insights for data-driven investors and corporations around the world.
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We’re thrilled to announce the arrival of our new CEO Bryan Tsui!
\n\n\n\nBryan spent 7 years at Bloomberg in various functions including Core Terminal and BloombergNEF, a strategic research provider covering the low-carbon economy. In 2017, Bryan was the first employee to join YipitData in APAC, the leading market research firm for the disruptive economy. The APAC business successfully took off and he started building and managing a regional revenue team across Hong Kong, Shanghai and Singapore. Bryan now joins Measurable AI’s team as the Chief Executive Officer.
\n\n\n\nLet’s hear his story:
\n\n\n\n\n\n\n\nMy most interesting sales prospecting story wasn’t a successful win but I managed to get the attention of a chairman from a listed company. During my time at Bloomberg, I struggled to open the door at one listed company, so my teammate and I decided to record a video talking about the key use-cases and we were simply trying our luck. We posted the video on YouTube and shared the link with the chairman via email. We finally got a reply and that was fun!
\n\n\n\nI also had one experience meeting with a hedge fund Chief Investment Officer (CIO), and before I introduced the company, he went straight and asked me for the pricing. He agreed to sign a 6-figures deal in 3 minutes without knowing anything about our offering. I guess he was having a great day!
\n\n\n\n\n\n\n\nI have been working in the data industry for over 12 years so it is difficult for me to draw a clear line between traditional data vs alternative data. That being said, Genscape (now acquired by Wood Mackenzie) was probably the very first alternative data vendor I came across. It operates the world’s largest private network of in-field monitors tracking commodity and energy (i.e. power, oil, natural gas, natural gas liquids…). It was over 10 years ago when I first heard about Genscape using infrared / heat sensitive cameras to detect storage levels in a tank.
\n\n\n\n\n\n\n\nEven within the investment community, primary and secondary market investors are approaching alternative data with a very different objective. For instance, venture capital investors leverage e-commerce data to identify emerging brands and merchants for deal sourcing purposes, which is completely different from the typical stock research use-case.
Fintech companies are already using app data to assess credit risk. Food and beverage companies are using weather data for demand planning. And there are many more use-cases …
I really like the cultures of my previous employers. At Yipit, we focus on making an impact and being efficient. In addition, we encourage everyone to be selfless and experimental. At Bloomberg, due to its sheer size, operational excellence is their prime focus. After all these years, my working style is really built on excelling skills around these core company values. Now I’m really looking forward to joining Measurable AI’s big family.
\n\n\n\n\n\n\n\nSteak, hot pot and barbecue!
\n\n\n\nYou can reach Bryan at bryan@measurable.ai.
\n\n\n\n\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative dataset across the digital economy, particularly for our consumer insights relating to the food delivery industry.
\n
Ciao! It’s believed that the first ever food delivery took place in Naples, Italy in 1889, where King Umberto I and Queen Margherita received the first pizza delivery. Fast forward to over 100 years later, Italy’s food delivery market has grown to be around USD$1.15 billion in 2022 (forecast by Statistica).
\n\n\n\nLet’s take a look at the market share of the Italian food delivery market occupied by the four players Deliveroo, JustEat, Glovo and UberEats. Measurable AI’s e-receipt dataset reveals that back in 2020, JustEat used to lead the game, occupying over 45% of the market share by revenues, followed by Deliveroo and Glovo (who respectively share about 25%).
\n\n\n\nDeliveroo started to grow faster than its peers around 2Q21, arriving at around 40% of the market share in 1Q22. Then entering into 1Q22, JustEat and Deliveroo leveled up head-on-head with roughly the same market share. Meanwhile, UberEats has steadily occupied the smallest percentage of the Italian food delivery market throughout the years, hovering at around 5%.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/11/10282022-ItalyFoodDelivery_Inline01_V2-1600x1000.png\")
According to Measurable AI’s granular e-receipts dataFor geographic coverage: apart from the two biggest cities Roma and Milano, it appears from the order volumes extracted from our dataset that each company has its own focus regions.
\n\n\n\nFor Deliveroo, its top 3 cities are Roma, Milano, and Bergamo. For Glovo, orders from Torino contributed most of the volume followed by the top two cities. For Ubereats, orders are also concentrated in the city of Napoli. Lastly, on JustEats, our dataset reveals that Bologna ranks the 3rd top city for its food delivery orders.
\n\n\n\n\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/11/10282022-ItalyFoodDelivery_v2-1600x1000.png\")
As illustrated in the chart below, Measurable AI’s granular dataset reveals that the average order value (‘AOV’) for the Italian food delivery market has been changing quite rapidly over time. Back in 2020, Deliveroo’s AOV was a bit higher than the other players, while UberEats’ ranked the lowest.
\n\n\n\nNearing the middle of 2021, the differences in AOV across all players had gotten smaller. Each platform’s AOV has also been more stable entering 2022.
\n\n\n\nCurrently as of1Q22, Glovo consumers spend the least, with the AOV at around 20 Euro. Meanwhile, Deliveroo’s AOV has remained the highest throughout the past two years.
\n\n\n\n\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/11/10282022-ItalyFoodDelivery_Inline02-1600x1000.png\")
Lastly, are you interested in Measurable AI’s detailed consumer insights on other food delivery companies? Follow our insights blog and subscribe to our newsletter to keep abreast of the latest developments underpinning the hotly contested food delivery industry across more markets. Or if you are a hedge fund, corporation or in research and looking for the most up-to-date transactional data insights, please reach out to us at business@measurable.ai to learn more.
\n\n\n\nRead our former blog about Food Delivery Market in Spain.
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative dataset across the digital economy, particularly for our consumer insights relating to the food delivery industry.
\n\n\n\nABOUT US
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at charlie@measurable.ai
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
Keep abreast of the latest developments underpinning the food delivery industry across every market with Measurable AI’s transactional e-receipts data panel. This week, we dived into our dataset to conduct an overview of the European food delivery market throughout the past few years.
\n\n\n\nFirst stop, España.
\n\n\n\nTaking a step back in time, the Spanish food delivery market has always been quite competitive with four players dominating the game: Glovo, JustEat, UberEats and Deliveroo.
\n\n\n\nIn 2020, Glovo was on par with JustEat, occupying around 35% of the market share by revenues. It was not until 2Q21 that Glovo started to lead the race, keeping its momentum into 2022. In July 2021, in the wake of the government’s adoption of the ‘rider law’ – whereby a worker is presumed to be an employee as opposed to a self-employed contractor – Deliveroo announced plans to pull out of Spain, citing huge economic losses since the start of the pandemic. At this time, our dataset reveals that Deliveroo owned 5% of the Spanish food delivery market share. The closure of Deliveroo’s operations helped advance Glovo’s position in the market throughout 2021.
\n\n\n\nEntering 1Q22, our dataset reveals Glovo seizing over 50% of the market share by revenues. Meanwhile, UberEats, the only non-European food delivery player in Spain, has steadily remained at 3rd place with around 20% of market share throughout the pandemic.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/11/unnamed-file-1600x1000.png\")
All in all, during the course of the pandemic, the Spanish food delivery market has experienced a decent amount of growth and changes underpinned by much mergers and acquisition activity. In Spain, Glovo is now owned by Delivery Hero (a majority holder). Just this September, Glovo has been fined €79 million (~$79 million) for breaches of labor laws related to the employment classification of couriers.
\n\n\n\nAccording to Measurable AI’s granular transactional data, apart from Deliveroo (whose AOV was much higher than its rivals), Glovo consumers tend to spend the most on food delivery per order in Spain, averaging at around 23 Euros per order as of March 2022. As can be gleaned by the chart below, UberEats’s AOV kept growing over the years and is now only slightly under Glovo’s. Meanwhile, JustEat’s AOV has remained relatively stable, hovering at around the 20 Euro mark.
\n\n\n\n\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/11/10282022-SpainFoodDelivery_Inline02-1600x1000.png\")
With regards to geographic coverage, each player has its own regions that it focuses on. By delivery volume, Glovo’s top 3 cities are Madrid, Barcelona, and Zaragoza. For JustEats, it is Madrid, Sevilla, and Barcelona. And for UberEats, it is Madrid, Barcelona, and Valencia.
\n\n\n\n\n\n\n\nTo be Continued…
\n\n\n\nInterested in Measurable AI’s detailed consumer insights on other food delivery companies? Follow our insights blog and subscribe to our newsletter to keep abreast of the latest developments underpinning the hotly contested food delivery industry across more markets. Or if you are a hedge fund, corporation or in research and looking for the most up-to-date transactional data insights, please reach out to us at business@measurable.ai to learn more.
\n\n\n\n\n\n\n\nABOUT US
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at charlie@measurable.ai
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative dataset across the digital economy, particularly for our consumer insights relating to the food delivery industry.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
香港外賣平台市場競爭激烈，兩大龍頭 Foodpanda 和 Deliveroo 不斷推出優惠吸納客戶之際，內地最大網上訂餐平台「美團外賣」開始招聘香港人才，或掀起本港外賣市場變化。
\n\n\n\n回顧過去的市場格局，Measurable AI 針對香港各大外賣平台，將電子消費數據轉化成市場分析，整合了以下時間線來總括 2018 到 2022 年本港外送市場的變化。
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2022/10/101242022-HKFoodDelivery_Inline02-1600x1000.png\")
早於 2014 年，來自德國的 Foodpanda 是最早進入香港市場的外賣 App 之一；英國起家的 Deliveroo 緊隨其後，於 2015 年登陸香港；Uber Eats 則於 2016 年進駐香港。
\n\n\n\n在早期的外賣平台競爭中，Deliveroo 處於領先位置。根據 Measurable AI 的電子交易數據，就每月訂單收入而言，Deliveroo 在 2019 年曾經擁有六成以上的市場佔有率。
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2022/10/Covid-1600x1000.png\")
COVID-19 來襲，食客對外賣速遞需求大增，外賣平台成疫市大贏家。
\n\n\n\n疫情期間，港人經歷過兩次長達數月的晚市禁令。Measurable AI 的數據顯示，香港外賣平台 (Foodpanda 及 Deliveroo 合計) 的平均每週訂單量自 2021 年以來持續上升。Omicron 引發第五波疫情下，2022年1月至2月的每週訂單量創新高，為去年同期的兩倍
\n\n\n\n雖然 Deliveroo 於疫情前一直領先香港的外賣平台市場，但於 2020 至 2021 年疫情高峰期時時，Foodpanda 追上 Deliveroo，形成兩者之爭。按每月訂單收入而言，Foodpanda 和 Deliveroo 各佔約一半的市場份額。
\n\n\n\n直到 2021 年底，Uber Eats 宣布撤出香港。Measurable AI 的數據顯示，當時 Uber Eats 的市佔率不足 5%。
\n\n\n\n![\"HK](\"https://blog.measurable.ai/wp-content/uploads/2022/10/101242022-HKFoodDelivery_Inline01-1600x1000.png\")
根據 Measurable AI 的電子消費數據，Foodpanda 香港的業務於 2022 上半年迅速增長。就訂單收入而言，Foodpanda 的市場佔有率為 63%；而 Deliveroo 則為 37% (數據截至2022年6月)。
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2022/10/101242022-HKFoodDelivery_Inline03-1-1600x1000.png\")
在顧客消費習慣方面，Deliveroo 的外賣訂單平均消費額 (Average Order Value) 較高，每單大概 180 元 (2021至2022年6月)；至於 Foodpanda 用戶，每單的平均消費約為 155 元 (2021至2022年6月)。 儘管今年兩者的差距收窄，Deliveroo 的平均消費額仍高於其對手。
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2022/10/HK-UsersLoyalty-1600x1000.png\")
在用戶忠誠度方面，Measurable AI 的電子收據數據顯示，Foodpanda 和 Deliveroo 的忠實用戶所佔訂單量在 2020 年底和 2021 年初開始超越新用戶，並在 2022 年繼續保持上升趨勢。
\n\n\n\nDeliveroo、Foodpanda 有多少用戶重疊？在 2022 上半年，約有 17% 用戶在兩個外賣平台皆使用。
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2022/10/HK-User-Overlap-1-1600x1000.png\")
除了兩間外賣平台外，還有一些本地企業在外賣速遞和快電商 (Quick Commerce) 行業分一杯羹，包括 HKTV 旗下外賣平台 HKTVexpress、餐廳評論平台 OpenRice、 yuu 獎賞計劃旗下網購平台 yuu to me 等。香港外送市場激烈競爭之際，內地最大網上訂餐外賣平台美團也宣布有可能進軍香港。
\n\n\n\n如有興趣了解最新市場概況，關注 Measurable AI 的最新文章和 Newsletter 來獲取第一手消費者及市場洞察資訊！
\n\n\n\n待續……
\n\n\n\n\n\n\n\n另類數據公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察。我們專注於東南亞、中東、印度和南美等新興市場，主要行業涵蓋美食外送、叫車服務、電商和電子支付。
\n\n\n\nMeasurable AI 分享匿名消費者數據，並協助企業、投資者及研究機構了解並應對瞬息萬變的市場。通過收集海量的電子收據數據，我們整合出消費趨勢、市場佔有率變化，以及預測企業盈利及財務狀況。
\n\n\n\n如欲得到最新市場數據，歡迎以電郵 (business@measurable.ai) 聯絡我們。
\n\n\n\n*文章內容並非投資建議，僅供參考。如要引用、轉發或修改文章內容，需先獲得書面同意。如有傳媒查詢，請發送電郵至 press@measurable.ai
\n\n\n\n\n\n\n\n更多數據分析文章：
\n\n\n\n兩成人叫清湯米線、走韭多過走芽？一文看香港人食譚仔及三哥外賣習慣
\n\n\n\n【外送市場】誰是漢堡神偷？實測 Foodpanda、Deliveroo 及麥麥送
\n\n\n\n2022 香港虛擬銀行排名：另類數據分析各大 Virtual Bank、電子錢包用戶增長
\n
Welcome to the quarter final of the Japan Food Delivery Race in 2022. A lot has happened in the first half of this year: In January, Foodpanda divested its Japanese business and in May, DidiFood left, followed by Rakuten Delivery who paused its delivery service in July. After two years of competition, the final teams are now: UberEats, Demae-can, Doordash, Wolt, and Menu.
\n\n\n\nBased on Measurable AI’s transactional e-receipts data, the major players in Japan’s food delivery market remain UberEats versus Demae-Can. Doordash (and its newly acquired Wolt) plus Menu together share a relatively small piece of the market at the moment.
\n\n\n\n\n\n\n\nIn Japan, UberEats has been leading the market by consumer spending in food delivery since 2020, whose market share has steadily hovered around 70% in the past two years.
\n\n\n\nEntering 2022, UberEats’s share saw a slight drop, but still leading at over 60% against opponent Demae-Can. As of Q2, 2022, Demae-Can grabs around 33% of the market share by sales.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/10/10222022-JapanFoodDelivery_Inline01-1600x1000.png\")
In terms of order value, Demae-Can’s AOV (after incentives) has always been a bit higher than UberEats, hovering around 2600 JPY. On UberEats, users usually spend less than 2200 JPY per order. Interestingly, Demae-Can has been allocating much more percent of incentives to its food delivery orders every holiday season (from December to January). However, on UberEats, the incentives remain at a sample level throughout the year.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/10/10222022-JapanFoodDelivery_Inline02-1600x1000.png\")
Yes, everyone loves McDonalds. Similar to our findings in the Hong Kong food delivery market based on Measurable AI’s e-receipts data: among the huge range of restaurants on both platforms, McDonald’s manages to account for around 12% of the market share by revenues (after incentives) on UberEats and 6% on Demae-can.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/10/10222022-JapanFoodDelivery_Inline03-1600x1000.png\")
Interested in consumer insights on other food delivery companies? Follow our insights blog and newsletter to keep up with the heated competition between UberEats and DemaeCan in Japan. Or if you are a hedge fund, corporation or in research and looking for the most up-to-date transactional data insights at business@measurable.ai.
\n\n\n\nRead former insights on Japan’s Food Delivery Market: Japan’s Untapped Food Delivery Market is Already Crowded: Who’s Winning?
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative dataset across the digital economy, particularly for our consumer insights relating to the food delivery industry.
\n\n\n\n\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at charlie@measurable.ai.
\n\n\n\nMeasurable AI is a leading alternative data provider for food-delivery, ride-hailing, and e-commerce in emerging markets. Covering Southeast Asia, Latin America, India, Middle East and more.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
Back in 2014, Foodpanda was one of the first food delivery apps to enter the Hong Kong market, followed by Deliveroo in 2015 and UberEats in 2016.
\n\n\n\nIn the early years, Deliveroo was leading in the Hong Kong market. Based on Measurable AI’s transactional e-receipts data, in terms of monthly revenues, Deliveroo used to own over 60% of the market in Hong Kong in 2019.
\n\n\n\nSince 2020, the global pandemic has boosted the food delivery industry enormously all over the world.
\n\n\n\nThroughout the past years, Hong Kong people have experienced several bans on restaurant dining after 6pm. The Measurable AI granular dataset reveals that the average weekly order volume of Hong Kong food delivery platforms (Foodpanda + Deliveroo combined) – has continued to rise since 2021. Under the 5th wave (Omnicron), the weekly order volume hit a record high from January to February 2022, double of what was recorded a year ago.
\n\n\n\nIn Hong Kong, while Deliveroo was initially leading the race in the early days, throughout 2020 to 2021 when covid swept over the city, the food delivery market transformed more into a tie between Foodpanda and Deliveroo who both shared about half of the market by revenues. At the end of 2021, we witnessed UberEats quitting the market with less than 5% of the market share, leaving only Foodpanda and Deliveroo competing with each other.
\n\n\n\nAccording to Measurable AI’s transactional consumer panel, in the first half of 2022, Foodpanda has been growing rapidly, leading the Hong Kong food delivery market share by revenue at around 63% versus 37% (as of June 2022).
\n\n\n\n\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/10/101242022-HKFoodDelivery_Inline03-1600x1000.png\")
In terms of consumer behavior, Deliveroo’s user AOV remains higher than its rival, hovering around 180 HKD (2021 – 2022 June). As for Foodpanda users, the average spend is around 155 HKD per order after incentives over the past two years (2021 – 2022 June). That said, there’s still a gap between the two companies’ user AOV, though it’s getting a bit smaller this year.
\n\n\n\nDespite the competition, food delivery users are getting loyal throughout the years. In our former analysis on consumer behavior, Measurable AI’s e-receipts data shows that both Foodpanda and Deliveroo’s loyal users’ order volume in Hong Kong started to outgrow those from new users during the transition between late 2020 and early 2021. This uptrend momentum of loyal users also keeps growing in 2022.
\n\n\n\nIn terms of user overlapping, around 17% of the Hong Kong food delivery users use both apps in the first half of 2022.
\n\n\n\nOther than the two major players, some local players share a marginal piece of the market in the food delivery and quick commerce space, including e-commerce company HKTV Express, Food review app Openrice, and Yuu – a reward app from a Hong Kong conglomerate. Despite the competition in Hong Kong food delivery market, this month Chinese food tech company Meituan also announced its possible operation in Hong Kong. Follow our insights blog and newsletter to keep up with this heated competition. Or if you are a hedge fund, corporation or in research and looking for the most up-to-date transactional data insights at business@measurable.ai.
\n\n\n\nTo be Continued…
\n\n\n\n\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative dataset across the digital economy, particularly for our consumer insights relating to the food delivery industry.
\n\n\n\nABOUT US
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at charlie@measurable.ai.
\n\n\n\nMeasurable AI is a leading alternative data provider for food-delivery, ride-hailing, and e-commerce in emerging markets. Covering Southeast Asia, Latin America, India, Middle East and more.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
Spicy and numbing broth, smooth yet chewy rice noodles, affordable menu prices, and waitresses known as “TamJai Jeh Jeh” with distinctive accents… With all these features, TamJai noodle chains are rapidly taking over every district in Hong Kong.
\n\n\n\nTam Jai International (HKEX: 2217), which runs TamJai Yunnan Mixian (譚仔雲南米線) (“TamJai”) and TamJai SamGor Mixian (譚仔三哥米線) (“SamGor”), is now wholly owned by Japan’s largest restaurant operator Toridoll Holdings Corporation(TSE: 3397).Apart from serving Yunnan-style rice noodles in Hong Kong, Tam Jai International also expanded its restaurants in Mainland China, Singapore, and Japan.
\n\n\n\nAs mentioned in its annual report earlier, takeaway and delivery orders accounted for nearly half (48.3%) of Tam Jai International’s revenue, showing that the food delivery market matters.
\n\n\n\nTamJai and SamGor have strong partnerships with two food delivery platforms in Hong Kong: Deliveroo for TamJai and Foodpanda for SamGor. By offering special takeaway discounts and promotional campaigns, it is quite common for customers to order TamJai noodles online.
\n\n\n\nWe dive into Measurable AI’s e-receipt consumer panel for the delivery platforms in Hong Kong to understand what insights they reveal about both TamJai chains’ delivery orders.
\n\n\n\n\n\n\n\n\n\n\n\nFamed for their soup bases with secret recipes, the broth is essentially the soul of TamJai rice noodles. Both TamJai and SamGor serve a handful of different soup bases, from non-spicy clear broth to Sichuan spicy soup.
\n\n\n\nWith Measurable AI’s exclusive data panel, we analyzed the food delivery orders of both TamJai and SamGor. So, which soup base is the most popular?
\n\n\n\nAmong SamGor’s food delivery orders, the clear broth, numbing spicy soup, and tomato soup each accounted for 22.3%, 21.8%, and 21.5% of the orders respectively, neck and neck competition. As for TamJai’s order, the Sichuan spicy soup accounted for 31.2%. This is followed by the clear broth (21.9%) and then the tomato soup (14.6%).
\n\n\n\nInterestingly, by food delivery order volume, clear broth soup accounted for around 20% for both TamJai and SamGor.
\n\n\n\n![\"MeasurableAI_1_譚仔人氣湯底比較\"](\"https://blog.measurable.ai/wp-content/uploads/2022/09/08262022-Tamjai_Inline01-1600x1000.png\")
For spicy food lovers, go ahead and try the spicy and numbing soup by TamJai and SamGor to satisfy your cravings. TamJai is renowned for its incremental spiciness scale from “10 Mild Spicy” (the least spicy level) all the way to extra spicy. The spiciness is a real kick and not for the faint-hearted.
\n\n\n\nAccording to Measurable AI’s e-receipt consumer panel, “10 Mild Spicy” is the most popular among TamJai and SamGor’s food delivery orders, followed by “5 Mild Spicy” and “Mild Spicy”.
\n\n\n\n![\"MeasurableAI_2_譚仔人氣辣度比較\"](\"https://blog.measurable.ai/wp-content/uploads/2022/09/08262022-Tamjai_Inline02-1600x1000.png\")
There are so many reasons why TamJai’s noodles are so popular in Hong Kong. Both TamJai Yunnan and TamJai SamGor allow you to customize your own bowl of rice noodles with over 30 delicious toppings.
\n\n\n\nWe take a look at Measurable AI’s data through bowls of TamJai noodles delivered amongst the two food delivery platforms. Apparently, chicken is the most popular topping.
\n\n\n\nComparing the top 10 toppings between TamJai and SamGor, there are 7 duplicated toppings, including chicken, pork belly, bamboo fungus, minced pork, cuttlefish ball, beef, and fish curd.
\n\n\n\n![\"MeasurableAI_3_譚仔人氣配料排行榜\"](\"https://blog.measurable.ai/wp-content/uploads/2022/09/08262022-Tamjai_Inline03-1600x1000.png\")
A burger usually comes with lettuce, tomato, and onions and there is also a TamJai noodles equivalent. Each bowl of rice noodles comes with beansprouts, chives, and beancurd sheets. Customers can choose to exclude these 3 toppings according to their preferences.
\n\n\n\nAmong delivery orders from TamJai Yunnan and TamJai SamGor, Measurable AI’s panel indicates that the “No chives” option accounted for 25%, while “No bean sprout’ and “No beancurd sheet” options accounted for 17% and 5% respectively.
\n\n\n\n![\"MeasurableAI_4_譚仔走配料統計\"](\"https://blog.measurable.ai/wp-content/uploads/2022/09/08262022-Tamjai_Inline04-1600x1000.png\")
The Hong Kong-style iced lemon tea is a great thirst-quencher and a great accompaniment to TamJai’s spicy noodles. According to Measurable AI’s food delivery data, the most popular drink is iced lemon tea, which accounted for 25.5% of TamJai and SamGor’s food delivery orders.
\n\n\n\nWhat about soft drinks? Canned drinks are also very popular, accounting for 21.5% of all food delivery orders, with Coke, Sprite, 7Up, and Cream Soda being the most popular soda options.
\n\n\n\n![\"MeasurableAI_5_人氣飲品\"](\"https://blog.measurable.ai/wp-content/uploads/2022/09/08262022-Tamjai_Inline05-1600x1000.png\")
Over the years both TamJai Yunnan and TamJai SamGor have won the palates of many customers in Hong Kong. Whichever TamJai you prefer, let’s take a look at the user overlap data between both TamJai brands.
\n\n\n\nAccording to Measurable AI’s food delivery data, the user overlap between TamJai and SamGor is around 13%. Among all SamGor customers, around 20% also ordered TamJai, and 27% the other way around.
\n\n\n\n![\"MeasurableAI_6_用戶重疊程度\"](\"https://blog.measurable.ai/wp-content/uploads/2022/09/08262022-Tamjai_Inline06-1600x1000.png\")
In terms of average spending on food delivery orders, SamGor’s average spending is HK$154.8, while TamJai’s average spending on food delivery is HK$161.7. The price range is roughly the price of a set for two, with two bowls of rice noodles, snacks, and drinks.
\n\n\n\n\n\n\n\nCurious about the market share of TamJai and SamGor on food delivery platforms?
\n\n\n\nRecently, Measurable AI released the top restaurant chains on food delivery apps in Hong Kong. TamJai SamGor Mixian owns around 3.8% of the market share in 2022 Q2 on Foodpanda by order volume. The other brand TamJai Yunnan Mixian, now exclusively on Deliveroo, owns around 3% of the market share on the platform.
\n\n\n\n![\"三哥](\"https://blog.measurable.ai/wp-content/uploads/2022/09/08262022-Tamjai_Inline07-1600x1000.png\")
At Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative data across the digital economy, particularly for our consumer insights relating to the food-delivery industry.
\n\n\n\nUsers in Asia are keeping up with the spike in food delivery experienced during peak pandemic times. Read our former researches on other Asian markets in digital economies: food delivery, ride-hailing and e-commerce. Keep up-to-date with the industry changes by subscribing to The Data Insights newsletter or follow the Measurable AI insights blog.
\n\n\n\nIf you’re looking for alternative data sources for your hedge fund, corporation or research initiative, please contact business@measurable.ai.
\n\n\n\n\n\n\n\nABOUT US
\n\n\n\n\n\n\n\nMeasurable AI is a leading alternative data provider for food-delivery, ride-hailing, and e-commerce in emerging markets. We own the largest e-receipt panel covering Southeast Asia, Latin America, India, Middle East and more.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
There is Fast and Furious when it comes to the ride-sharing business.
\n\n\n\nHere’s an update on the ride-sharing race between the two biggest companies in Southeast Asia: Gojek versus Grab for the first half of 2022. After the past challenging years for mobility amid the pandemic, both companies have seen some rebound in ride-sharing business in Indonesia, Southeast Asia’s largest market. What’s the score now?
\n\n\n\n\n\n\n\n[2023 Updated] Inside the Duopoly: Gojek vs Grab on Indonesia’s Ride-Hailing Market
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/09/09062022-2022IndonesiaGrabVsGojek_Inline01-1600x1000.png\")
According to Measurable AI’s e-receipts data, the Indonesian ride-sharing market share remained stable across the year of 2021, with Grab capturing 57% of the market by sales. However, starting in 2022, Grab’s advantage shrunk slightly, and as of July 2022 Gojek took the leading spot capturing around 52% of the market share in mobility spending.
\n\n\n\nThe race has been tight for both companies before and after the recovery in the mobility sector. During August to December 2021 Grab and Gojek’s sales both experienced an upsurge. Going into 2022, the uptrend remains, and the spending for both apps are getting closer each week.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/09/09062022-2022IndonesiaGrabVsGojek_Inline05-1-1600x1000.png\")
Are rides getting more expensive in Indonesia? While our Latin America e-receipt panel revealed rides were indeed getting more expensive in Brazil and Mexico (read our post on LatAm ride-hailing post surge), Our Indonesia panel indicates this is not the case for Indonesia.
\n\n\n\nIn fact, Grab and Gojek’s cost per ride has not changed much throughout the past two years.
\n\n\n\nGrab’s overall AOV on either its 4-wheel or 2-wheel rides is only marginally higher than Gojek’s. Grab’s AOV on four-wheel rides saw some growth over the year of 2021, and now hovers around 49,000 RP, which is slightly higher than Gojek at around 47,000 RP this this year (as of July 2022).
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/09/09062022-2022IndonesiaGrabVsGojek_Inline02-1600x1000.png\")
However, the incentives from both platforms on each ride have fluctuated across time. Based on the granular transactional data from Measurable AI, we dive deeper into the incentive structure underpinning both ride-hailing platforms.
\n\n\n\nGojek and Grab’s discount value per ride have hovered around 30% until discounts plummeted during the middle of 2021 when Indonesia was hit by the pandemic. After that, Gojek became more aggressive in incentivizing users. From 1Q22, Gojek’s discount % per ride rose to around 40%. Meanwhile Grab kept the same discount % at where it was before the dip.
\n\n\n\nEntering into Q2 this year, both platforms slowed down at giving away promotions, and in July, the discount rate per order for Grab arrived at around 23%.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/09/09062022-2022IndonesiaGrabVsGojek_Inline03-1-1600x1000.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/09/09062022-2022IndonesiaGrabVsGojek_Inline04-1600x1000.png\")
In Indonesia, 2-wheel rides are more dominant on both platforms in terms of order volume. Grab and Gojek’s 2-wheel rides constitute around 32-33% of the total market share respectively by order volume. On 4-wheel rides, as of 2Q22, Grab’s 4-wheel rides owned a slightly bigger share of the market by order volume at around 19%, compared to Gojek’s 15%.
\n\n\n\nFollow our insights blog and newsletter to keep up with the heated competition between the two super apps in Southeast Asia. Or if you are a hedge fund, corporation or in research and looking for the most up-to-date transactional data insights at business@measurable.ai.
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative dataset across the digital economy, particularly for our consumer insights relating to the ride-hailing industry.
\n\n\n\nABOUT US
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at charlie@measurable.ai
\n\n\n\nMeasurable AI is a leading alternative data provider for food-delivery, ride-hailing, and e-commerce in emerging markets. Covering Southeast Asia, Latin America, India, Middle East and more.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
每四碗譚仔，就有一碗過橋米線？10小辣榮登最受歡迎辣度寶座？喜歡譚仔的你，切勿錯過以下 6 個米線數據！
\n\n\n\n「譚仔」和「譚仔三哥」一向深受港人喜愛，無論返工、WFH 定放假，譚仔米線是不少人的 comfort food。由湯底、配料、麵底選擇、品牌印象以至餐廳佈置等因素，譚仔和三哥都各有捧場客。
\n\n\n\n現時譚仔雲南米線和譚仔三哥米線分別與兩間外賣服務平台合作：如果想叫「譚仔」，可選用 Deliveroo 戶戶送；如果想叫「三哥」，可選用 Foodpanda。兩間米線品牌經常與外賣平台合作推出特選折扣、專屬優惠碼等促銷活動，吸引不少譚仔常客叫外賣自取或速遞。
\n\n\n\n經營兩間米線品牌的譚仔國際 (02217) 早前發佈的年報中提及，外賣訂單佔收益接近一半 (48.3%)，可見其外賣市場價值不容小覷。
\n\n\n\n本地數據分析公司 Measurable AI 透過「譚仔」和「三哥」的外賣服務平台訂單，為大家揭曉最受歡迎湯底、配料、辣度、用戶重疊程度等令人食指大動的米線數據。
\n\n\n\n各位譚仔常客，認同請分享！
\n\n\n\n\n\n\n\n\n\n\n\n湯底可說是譚仔的靈魂，哪個湯底最受歡迎？我們分析了三哥和譚仔的外賣平台訂單，根據各個湯底的落單次數得出以下圖表。
\n\n\n\n在三哥的外賣訂單中，清湯底、麻辣湯底及蕃茄湯底各佔 21.5% 至 22.3%，人氣程度不相伯仲。
\n\n\n\n至於譚仔雲南米線的外賣訂單中，麻辣湯底佔 31.2% 成湯底之冠，第二和第三名分別是清湯底 (21.9%) 和鮮蕃茄湯底 (14.6%)。
\n\n\n\n如題，清湯底在兩間米線的外賣訂單皆佔大約兩成，亦即是每五碗譚仔，就有一碗是清湯！你有想起邊位叫清湯的朋友嗎？
\n\n\n\n不少人視譚仔辣度為一種挑戰，根據 Measurable AI 收集的外賣訂單數據，10 小辣是最受歡迎的辣度，其次是 5 小辣、季軍是小辣、第四名則為 3 小辣。
\n\n\n\n坊間不少投選最受歡迎譚仔配料的活動，Measurable AI 則透過分析外賣訂單收據，根據實質消費數據得出以下人氣配料排行榜。
\n\n\n\n比較三哥和譚仔的十大人氣配料，發現不少熱門配料重複出現，包括雞肉、腩肉、竹笙、炸醬、墨丸、牛肉和魚腐。
\n\n\n\n三哥和譚仔各自推出獨有配料 (圖中顯示星號*)，排名不算高，當中譚仔雲南米線的墨魚春卷成功打入十大人氣配料。
\n\n\n\n你食譚仔會走配料嗎？根據三哥和譚仔的外賣訂單數據，發現「走韭」的比率為 25%、「走牙」 為 17%、「走皮」則為 5%。
\n\n\n\n食譚仔的麻辣湯底，你會配甚麼飲品？除了可以額外加配飲品，三哥和譚仔於外賣平台的餐牌提供二人、三人等套餐選擇，附送冷熱飲品。
\n\n\n\n三哥和譚仔的外賣數據顯示，最受歡迎飲品結果呼之欲出——凍檸茶佔 25.5%。
\n\n\n\n與此同時，罐裝汽水類在外賣訂單都很受歡迎，罐裝可樂、雪碧、七喜和忌廉的總和佔 21.5%。
\n\n\n\n\n\n\n\n
三哥、譚仔兩派食客有多少是重疊的？根據外賣訂單數據，發現有 13% 用戶在兩間譚仔米線都會光顧！
\n\n\n\n就外賣訂單平均消費額而言，三哥的平均消費為 154.8 元；譚仔雲南米線的外賣平均消費為 161.7 元。這個價格範圍大概是二人套餐、或兩碗米線加一個小食的價錢。
\n\n\n\n\n\n\n\n看過以上米線外賣數據，想進一步了解三哥和譚仔在外賣平台上的市場佔有率？
Measurable AI 早前發佈了今年第二季香港各大連鎖餐廳在外賣平台 App 的市佔率，當中譚仔三哥米線在 Foodpanda 上擁有約 3.8% 市佔率 (按訂單量)；而譚仔雲南米線在 Deliveroo 上擁有約 3% 市佔率。
想知更多？如欲得到最新市場數據，歡迎以電郵 (business@measurable.ai) 聯絡我們。
\n\n\n\n\n\n\n\n另類數據公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察。我們專注於東南亞、中東、印度和南美等新興市場，主要行業涵蓋美食外送、叫車服務、電商和電子支付。
\n\n\n\nMeasurable AI 分享匿名消費者數據，並協助企業、投資者及研究機構了解並應對瞬息萬變的市場。通過收集海量的電子收據數據，我們整合出消費趨勢、市場佔有率變化，以及預測企業盈利及財務狀況。
\n\n\n\n
*文章內容並非投資建議，僅供參考。如要引用、轉發或修改文章內容，需先獲得書面同意。如有傳媒查詢，請發送電郵至 press@measurable.ai
更多數據分析文章：
\n\n\n\nTop Restaurant Chains on Food Delivery Apps in Hong Kong
\n\n\n\n【外送市場】誰是漢堡神偷？實測 Foodpanda、Deliveroo 及麥麥送
\n\n\n\n2022 香港虛擬銀行排名：另類數據分析各大 Virtual Bank、電子錢包用戶增長
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Latin America, home to some of the most urbanized cities in the world, is one of the fastest growth spots for ride-hailing. Traffic congestion, limited public transport infrastructure make it difficult to cope with peak demand during morning commute times in large cities like Sao Paulo, Mexico City and Bogota.
\n\n\n\nAmidst the intense rivalry amongst ride hailing companies in Latin America, Measurable AI’s transactional e-receipt panel reveals that Uber and 99 (owned by Chinese ride-hailing company Didi Chuxing) are the major rivals in these two markets.
\n\n\n\nLet’s prod further to see what consumer insights can be unearthed from our granular dataset.
\n\n\n\n\n\n\n\nFirst, let’s take a look at what Measurable AI’s e-receipt consumer panel reveals about market share between Uber and Didi’s 99. For Brazil, our insights reveal that Uber is winning, owning roughly 65% of market share versus the 35% occupied by Didi for 1Q22.1
\n\n\n\nTurning to the ride-hailing scenario for Mexico, Didi leads Uber, owning about 56% and 44% market share respectively as of 1Q22.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/08/08122022-LatamRideSharing_Inline01-1600x1000.png\")
Measurable AI: Latam Ride-hailing Market Share by Sales; *Estimated Sales in this chart are based on metrics “total price”, the dollar amount of each order before promotions and discounts, captured from Measurable AI’s transactional e-receipts consumer panel.
\n\n\n\n\n\n\n\nAs gleaned from Measurable AI’s e-receipt panel in 2022 for Latin America, around 17% of Uber rides and 12% of 99 rides in Brazil originate from Sao Paulo. For Mexico, roughly 24% of Uber rides and 18% of 99 rides in Mexico originate from Mexico city.
\n\n\n\n![\"Latam](\"https://blog.measurable.ai/wp-content/uploads/2022/08/08122022-LatamRideSharing_Inline09-1600x1000.png\")
While monthly completed trips in Brazil for Uber and Didi’s 99 are not publicly disclosed, they are believed to have 28 million active users combined – approximately 90% of the Brazilian ride hailing population. In terms of the number of drivers, it is estimated that 99 has 750,000 active drivers compared to Uber’s over 600,000.
\n\n\n\n\n\n\n\nHow much does the average rider in Brazil and Mexico spend per ride when it comes to ride-hailing services? As of March 2022, Measurable AI’s e-receipt panel reveals that the average ride cost in Brazil and Mexico works out to be roughly BRL $92 (~USD $17.5) and MXN $385 (~USD $19.2).
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/08/08122022-LatamRideSharing_Inline03-1600x1000.png\")
Interestingly enough, as can be seen from the chart above, there is a sharp surge in prices for both Uber and 99 throughout 2021 when it comes to the average spend per user.
\n\n\n\nFrom Measurable AI’s Brazilian panel, by year end 2021, the monthly average spend per user for Uber and 99 increased by 18.1% and 10.3% respectively when compared to year end 2020. When it comes to our Mexican panel, the monthly average spend per user for Uber increased by 11.6% when compared to year end 2020, reaching a year end peak of around USD $19.2. For 99, the price increased by 3.7%, reaching a year end peak of USD $17.4. This begs the question, what is driving the peak in prices throughout 2021?
\n\n\n\nThe rise in prices may be largely attributable to the rising fuel costs which account for the largest portion of Brazil’s inflation. As of October 2021, prices have increased 40% from a year ago. As such, this has caused many drivers to quit. According to Sao Paulo’s Association of App Drivers (Amasp), 25% of drivers for both Uber and 99 have quit since the start of the pandemic.
\n\n\n\nAnother headwind facing Uber and 99 are the shortage of cars. Most motorists in Brazil actually don’t own their vehicles and rental companies have hiked rates due to the shortages of cars. Teros, a consultancy in Sao Paulo, estimates that rental agencies have increased prices over 20% this year.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/08/08122022-LatamRideSharing_Inline10-1600x1000.png\")
The overall cost in ride-hailing in Latam has also been rising in terms of the pricing per mile. As the above chart shown, over the past 2 years (since 3Q 20), the ride-hailing average price per mile in Brazil across 99 and Uber has been up by almost 50%. In Mexico, the average price per mile in ride-hailing has grown from around 17 MXN to almost 20 MXN in the latest quarter of 2022.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/08/08122022-LatamRideSharing_Inline11_Revised-1600x1000.png\")
When it comes to promotions and discounts in ride-hailing orders from Latam, both platforms are still consistently incentivizing users in the past two years. In Latam, both platforms allocate similar average value of discounts per ride. In Mexico particularly, Didi’s 99 has been giving away relatively a higher percentage of discount to riders per order, with a slight smaller price per order.
\n\n\n\nDo Latin American riders exhibit preferential treatment towards one ride hailing company over the other depending on the distance of their journey?
\n\n\n\nWe explore this by splitting our sample of riders into two groups: overlapped versus non-overlapping riders. Overlapping riders are defined as riders in our panel who have chosen to book a ride on both Uber and 99 across 2021. From Measurable AI’s 2021 dataset for Brazil and Mexico, we came up with the following findings.
\n\n\n\n\n\n\n\nNon-overlapping Riders
\n\n\n\n\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/08/08122022-LatamRideSharing_Inline04-1600x1000.png\")
For the Brazil market, the choice to opt for Uber over 99 is positively correlated with the distance of the journey. The longer the commute, the more likely it is for Brazilian riders to choose Uber over 99. While for the Mexico market, the choice to opt for DiDi’s 99 over Uber is more noticeable for short commutes that are 15 miles or less.
\n\n\n\nLet’s look at the average number of rides a typical Uber or 99 ride-hailing customer books on a weekly basis in Brazil and Mexico. For Brazil, our panel reveals that Uber registered 2.6 orders per rider while 99 clocks in at 2.5 orders per rider (a close tie indeed!). While for Mexico, our dataset shows that the average rider there books 2.2 Uber rides and 2.5 Didi rides a week on average.
\n\n\n\n\n\n\n\nOverlapping Riders
\n\n\n\nWe now look into the cohort of overlapping riders (i.e. those in our panel who have ridden both a Uber and Didi ride). For Brazil, 17.6% of riders in our consumer panel chose to ride on both Uber and 99 whereas for Mexico, this figure was 15.8%.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/08/08122022-LatamRideSharing_Inline05-1600x1000.png\")
Turning to our cohort of overlapping riders from our panel, it’d be interesting to see how loyal are Latinos’ to the ride-hailing companies Uber vs. Didi. Do they have a preferred ride-hailing company that they vehemently stick to or are they flexible when it comes to choosing which ride-hailing app to ride with?
\n\n\n\nFrom Measurable AI’s LatAm dataset for 2021, it seems that amongst our panel overlapping riders, these riders exhibited a preference for Uber: Uber registered 2.8 orders per rider while 99 registered 2.5 orders per ride a week on average.
\n\n\n\nTurning to our Mexican e-receipt dataset, our panel overlapping riders reveals that those who choose to ride on both platforms preferred Didi for shorter commutes (5 miles or less) while for longer commutes they exhibited a preference for riding with Uber. In terms of the average number of orders per rider, DiDi and Uber registered 2.6 and 2.2 respectively a week on average.
\n\n\n\n\n\n\n\nWhich Car Type is Most Popular Amongst Uber and 99 in Latin America?
\n\n\n\n\n\n\n\nFor Brazil and Mexico, an Uber or 99 ride-hailing app ride is usually cheaper than a taxi, especially if the journey is long. It’d be interesting to see which type of cars within the two services are the most popular in both countries and how this stacks up along with the pricing.
\n\n\n\nFrom Measurable AI’s LatAm dataset, we found that UberX, 99pop, and DiDi-Express were the most popular in both Brazil and Mexico. Prodding further, we came up with the following findings on pricing for the major types of car in the first 10-mile cohort.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/10/08122022-LatamRideSharing_Inline07REVISED-1600x1000.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/10/08122022-LatamRideSharing_Inline08REVISED-1600x1000.png\")
As can be seen, the prices of riding with either of the two platforms in 2022 increased quite significantly from a year ago in 2021. This was particularly the case for Uber Black and 99 Comfort in Brazil whereby prices hiked by some whopping 19% and 30% YoY respectively for the long commutes (~ 9 miles). As explained earlier, this could largely be attributable to the rising oil prices and shortage of cars experienced throughout 2021.
\n\n\n\nLatin America is a key growth area for ride-hailing companies. The growing urban population, poor urban planning and limited mobility are the major drivers underpinning the growth of the market. The total regional population in Latin America will exceed 660 million, 82% of which will be living in cities.
\n\n\n\nMeasurable AI is the leading granular e-receipt provider for the ride-hailing industry in the emerging markets. If you would like more up-to-date data or more granular insights into this highly competitive industry, please reach out to us at business@measurable.ai.
\n\n\n\n\n\n\n\nABOUT US:
\n\n\n\nMichelle Tang is a Managing Director at Measurable AI who draws on her experience from consumer data, tech and equity investing to help evangelize alternative data and its vast use cases. Driven by a passion for data analytics and consumer intelligence, she enjoys research and storytelling with insights derived from Measurable AI’s unique e-receipt dataset.
\n\n\n\nYou can reach her at michelle@measurable.ai.
\n\n\n\nMeasurable AI is the leading granular e-receipt provider for consumer intelligence in the emerging markets with a core focus in South East Asia, Middle East, India and Latin America. We cover the digital economy with the major sectors being ride hailing, food delivery, e-commerce and digital payments.
\n\n\n\n*The Content is for informational purposes only. You should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
The Hong Kong food and restaurant industry is a monopoly whereby several companies own the majority of the businesses. As such, this makes it difficult to not walk into a restaurant chain in Hong Kong when you dine out. Which restaurant chain is winning over the food delivery apps?
\n\n\n\nAccording to Measurable AI’s transactional e-receipt data, McDonalds, KFC, TamJai, and Cafe de carol are some top restaurant chains on food delivery platforms Foodpanda(ETR: DHER) and Deliveroo(LON: ROO). Let’s look deeper into their market share on each platform.
\n\n\n\n![\"Top](\"https://blog.measurable.ai/wp-content/uploads/2022/08/08022022-HKRestaurantChains_Inline01-1-1600x1000.png\")
On Foodpanda, McDonalds owns almost 5.8% of the market share by order volume in the second quarter, 2022 and around 4% on Deliveroo. Under the same category, KFC shares around 1.2% of the market share on Deliveroo, and around 0.7% on Foodpanda. Shakeshack, another burger fast food chain owns about 1% of the market share on Deliveroo by order volume. Read our previous blog on McDonalds’s food delivery in Hong Kong.
\n\n\n\nLet’s take a look at local food chains. Tamjai Samgor(譚仔三哥), Hong Kong’s famous noodle brand owns around 3.8% of the market share in Q2 on Foodpanda by order volume. The other noodle brand Tamjai Yunnan(譚仔雲南米線), now exclusively on Deliveroo owns around 3% of the market share on the platform. Both brands are owned by the same parent company Toridoll(TSE: 3397), a Japanese restaurant chain.
\n\n\n\n![\"Tamjai](\"https://blog.measurable.ai/wp-content/uploads/2022/08/08022022-HKRestaurantChains_Inline02-1-1600x1000.png\")
Other than the restaurant chains, food delivery apps’ very own grocery business has been growing, along with its contribution to the total order volume. On Foodpanda, its very own own Pandamart, the 24 hour operating online groceries now owns around 7.5% of the market share by sales and 5.3% by order volume in the second quarter of this year.
\n\n\n\n![\"Measurable](\"https://blog.measurable.ai/wp-content/uploads/2022/08/08022022-HKRestaurantChains_Inline03-1-1600x1000.png\")
At Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative data across the digital economy, particularly for our consumer insights relating to the food-delivery industry.
\n\n\n\nPartnership with restaurant and food chains remains to be a major growth strategy for food delivery companies. Apart from exclusivity which might be a hard choice for some chain brands, both sides are exploring creative partnership to strengthen the relationship with each other. To keep up with both fast food chain and on-demand food delivery trends, subscribe to The Data Insights newsletter or follow the Measurable AI insights blog.
\n\n\n\nIf you’re looking for alternative data source for your hedge funds, corporates or researches, please contact business@measurable.ai.
\n\n\n\nABOUT US
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at charlie@measurable.ai
\n\n\n\nMeasurable AI is a leading alternative data provider for food-delivery, ride-hailing, and e-commerce in emerging markets. Covering Southeast Asia, Latin America, India, Middle East and more.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
香港八間虛擬銀行 (virtual bank) 已開業近兩年，產品範圍涵蓋存款、信用卡消費優惠、先買後付 (BNPL) 等不同類型銀行服務。根據金融諮詢公司 Quinlan and Associates 的報告，估計到 2025 年，香港的虛擬銀行業將創造每年 760 億港元的總收入機會，並為 190 萬客戶 (佔香港目前人口 24.9%) 提供服務。
\n\n\n\n八間虛擬銀行分別為眾安銀行 (ZA Bank)、Mox Bank、匯立銀行 (Welab Bank)、Livi Bank、天星銀行 (Airstar Bank) 、平安壹賬通銀行 (PAOB)、螞蟻銀行 (Ant Bank) 及富融銀行 (Fusion Bank)。各大虛銀不斷推出開戶獎賞、消費回贈、高息定期及活期存款優惠等，吸納更多新用戶及存款額。
\n\n\n\n市場競爭激烈，想了解各大虛擬銀行由開業至 2022 年第二季的最新用戶增長情況？另類數據公司 Measurable AI 透過獨家數據集，將虛擬銀行的用戶增長數據，轉化成市場趨勢分析。
\n\n\n\n\n\n\n\n►►►【2023 更新】按此查看 2023 香港虛擬銀行最新排名
\n\n\n\n\n\n\n\n八間虛擬銀行分別於 2020 年 3 月至 12 月開業，根據金管局的數據，香港虛銀在 2021 年吸納共 80 萬新用戶，總客戶人數在 2021 年底累積至 120 萬人。整體來看，虛擬銀行的用戶增長步伐加快；逐個細看，每間虛擬銀行的用戶增長表現如何？
\n\n\n\nMeasurable AI 利用獨家數據集，整合出以下香港各大虛銀用戶累計增長圖表，數據包含 ZA、Mox、Livi、WeLab、Airstar 及 PAOB。由於 Fusion Bank 和 Ant Bank 並沒有向客戶發送電郵通信，所以今次分析未有涵蓋這兩家虛擬銀行。
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2022/07/07242022-HKVirturalBanks_Inline01-3-1600x1000.png\")
在用戶增長層面，香港首家開業的虛擬銀行 ZA Bank 一直處於領先地位。早於 2020 年 5 月至 6 月，ZA Bank 推出「唔要一萬 我要萬一」額外派錢活動，成功把握市場先機令用戶人數躍升一倍。其後 ZA Bank 的用戶數量繼續穩步上揚，保持著龍頭位置。
\n\n\n\n第二和第三位競爭激烈，Mox Bank 和 Livi Bank 的用戶數量可謂叮噹馬頭。以累計用戶數目來看，Livi 在 2021 年 6 月起超越 Mox；直到今年 4 月，Mox 成功反超前 Livi。截至 2022 年第二季，用戶數量第二的虛擬銀行是 Mox，而 Livi 則跟隨其後。
\n\n\n\nWeLab Bank 在開業第一年的用戶人數與 Mox 和 Livi 不相伯仲，直到第二年開始慢慢被拋離。截至 2022 年第二季，WeLab 的用戶數量排行第四。至於 Airstar Bank 和 PAO Bank，這兩間虛銀在過去兩年並沒有明顯的用戶增長，一直落後於其他虛擬銀行。
\n\n\n\n\n\n\n\n提到數碼轉帳服務，除了傳統銀行和虛擬銀行，不得不提八達通和 PayMe 兩大電子錢包 App。
\n\n\n\n現時八達通 App 提供線上八達通卡和電子銀包 (前稱「O! ePay 好易畀」)，八達通銀包支援 P2P 付款、八達通卡增值、網上付款等功能；而 PayMe 則是匯豐銀行在 2017 年推出的 P2P 轉帳 App，一直大受港人歡迎。
\n\n\n\n透過分析 Measurable AI 的電子收據數據，我們整合出近兩年八達通 App 和 PayMe App 的用戶增長圖表。
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2022/07/07242022-HKVirturalBanks_Inline02-4-1600x1000.png\")
在 2021 年 6 月中，政府宣佈可登記使用八達通分期領取 $5,000 消費券，由於八達通 App 支援領取消費券，不少市民都下載 App 以便領取和消費。我們的數據顯示，八達通 App 在 2021 年 6 月至 8 月的累計用戶數量明顯急升 17%。
\n\n\n\n到 2022 年第二階段消費券計劃，PayMe 新增為儲值支付工具營辦商，相信對於八達通 App 和 PayMe 的用戶增長都有幫助。如欲對我們最新的數據有興趣，歡迎以電郵 (business@measurable.ai) 聯絡我們。
\n\n\n\n\n\n\n\n![\"HK](\"https://blog.measurable.ai/wp-content/uploads/2022/07/07242022-HKVirturalBanks_Inline03-1-1600x1000.png\")
雖然虛擬銀行的用戶增長步伐加快，但對比起八達通 App 和 PayMe，虛擬銀行的用戶數量仍有差距。根據 Measurable AI 截至 2022 年第二季的數據，虛擬銀行龍頭 ZA Bank 的用戶數量不及 PayMe 的一半。
\n\n\n\n仍處於投資期的一眾虛擬銀行，未來的市場競爭情況將如何？
\n\n\n\n如欲得到最新市場數據，歡迎瀏覽 Measurable AI 其他數據分析文章，或以電郵 (business@measurable.ai) 聯絡我們。
\n\n\n\n\n\n\n\n另類數據公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察。我們專注於東南亞、中東、印度和南美等新興市場，主要行業涵蓋美食外送、叫車服務、電商和電子支付。
\n\n\n\nMeasurable AI 分享匿名消費者數據，並協助企業、投資者及研究機構了解並應對瞬息萬變的市場。通過收集海量的電子收據數據，我們整合出消費趨勢、市場佔有率變化，以及預測企業盈利及財務狀況。
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*文章內容並非投資建議，僅供參考。如要引用、轉發或修改文章內容，需先獲得書面同意。如有傳媒查詢，請發送電郵至 press@measurable.ai
更多數據分析文章：
\n\n\n\n兩成人叫清湯米線、走韭多過走芽？一文看香港人食譚仔及三哥外賣習慣
\n\n\n\n【外送市場】誰是漢堡神偷？實測 Foodpanda、Deliveroo 及麥麥送
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According to consulting firm Quinlan and Associates, the virtual banking industry in Hong Kong is forecasted to create a HK$76 billion ($9.7 billion) per annum revenue opportunity by 2025, servicing a total customer pool of 1.9 million (i.e. 24.9% of the current Hong Kong population).
\n\n\n\n\n\n\n\nIn 2019, the Hong Kong Monetary Authority licensed eight virtual banks. These eight firms are: ZA Bank, Mox Bank, WeLab, Airstar, Livi, PAOB, Ant Bank and Fusion. Amongst the eight virtual banks in Hong Kong, this represents an average annual revenue opportunity of HKD 9.5 billion (US$1.2 billion), and equates to an average revenue market of about 2.4% per virtual bank. While this sum is by no means small, the virtual banking industry is expected to consolidate in the years to come with only a handful of existing players managing to survive (and thrive).
\n\n\n\n\n\n\n\nLet’s take a dive into Measurable AI’s proprietary e-receipt panel to unearth some insights into user growth since 2020 when these virtual banks were launched one after another.
\n\n\n\n\n\n\n\nAccording to the Hong Kong Monetary Authority, the virtual banking community attracted 800,000 new users in 2021, doubling its growth in 2020. With all the eight banks launching within March to December 2020, it’d be interesting to see how their user growth has fared up until now.
We take a dive into the e-receipts data provided by Measurable AI’s proprietary panel and discover that ZA bank has been leading the race when it comes to user growth. Runners up is MOX with Livi coming in at a close tie. WeLab, who shared similar volume with Mox, and Livi in the first year, fell off the curve in the second year, and ranks No.4 as of 2022 Q2.
\n\n\n\nMeanwhile, Airstar and Ping An’s PAOB have been the laggards without too much user growth in the past two years. Due to the fact that Fusion and Ant Bank do not send email communications to their users, these two companies are not covered in this study.
\n\n\n\n\n\n\n\nWhen it comes to E-wallet apps in Hong Kong, we cannot neglect the two players: Octopus and PayMe. While Octopus card is nothing new to every Hong Kong citizens, its Octopus app (formerly “O!ePay”) is relatively young, which offers digital Octopus card and Octopus e-wallet. The support from Apple Pay and government issued consumption voucher have accelerated the growth of Octopus app amid the pandemic.
\n\n\n\nThe other player PayMe, owned by HSBC has been around since 2017, and has become a most popular P2P payment/wallet app in Hong Kong.
\n\n\n\n\n\n\n\nWe take a closer look at Measurable AI’s e-receipts data to unlock some insights comparing these two apps. Starting from April 2020, both PayMe and Octopus app seemed to be more on par when it came to user base. However, the real divergence emerged when Octopus’s user base leaped significantly around June 2021 due to the first phase of the Hong Kong government’s consumption voucher spend whereby local residents were granted 5000 HKD each (who doesn’t like free money after all?) Users were allowed to receive this grant via their Octopus app among other three local e-wallet services.
\n\n\n\n\n\n\n\nDespite the growth of the whole virtual bank industry, its accumulated user volume still has a gap to catch. Based on Measurable AI’s accumulated user volume, even the leading virtual bank ZA’s user volume is far from the e-wallet players Octopus and PayMe.
\n\n\n\nWant to find out more about the virtual banking or fintech landscape in Hong Kong or in the emerging markets? Write to us at business@measurable.ai to speak to us.
\n\n\n\n\n\n\n\nMichelle Tang is a Managing Director at Measurable AI who draws on her experience from consumer data, tech and equity investing to help evangelize alternative data and its vast use cases. Driven by a passion for data analytics and consumer intelligence, she enjoys research and storytelling with insights derived from Measurable AI’s unique e-receipt dataset.
\n\n\n\n\n\n\n\nYou can reach her at michelle@measurable.ai.
\n\n\n\n\n\n\n\nMeasurable AI is the leading granular e-receipt provider for consumer intelligence in the emerging markets with a core focus in South East Asia, Middle East, India and Latin America. We cover the digital economy with the major sectors being ride hailing, food delivery, e-commerce and digital payments.
\n\n\n\n\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
As we endure the third year of Covid-19, most people have adjusted to the ‘new normal’ and returned back to working in the office. While it is not surprising to witness a pull back on purchases relating to remote work, what about food delivery? Looking at Asia alone and digging into Measurable AI’s consumer panel, the data reveals that users are actually becoming more loyal now to the leading food aggregators than ever before.
\n\n\n\nAt the beginning of the pandemic, consumers distracted themselves by binge shopping on various sorts of “stay-at-home” companies, food delivery being one of them. We discovered that after three years of the pandemic, this behavior hasn’t changed much.
\n\n\n\nAccording to Measurable AI’s transactional e-receipts data, the re-opening of restaurants and cities all over Asia did not affect the demand for food delivery too much. Surprisingly, the food delivery companies have actually managed to successfully win loyal users throughout the pandemic.
\n\n\n\nInvestigating deeper into the food delivery companies by consumer behavior, we use Measurable AI’s granular transactional e-receipts data and analyze the users in two cohorts: Loyal users (who have been actively ordering since a year ago), and New users (whose first order is within a year).
\n\n\n\n![\"Measurable](\"https://blog.measurable.ai/wp-content/uploads/2022/07/06162022-SEAFoodDelivery_Inline03-1600x1000.png\")
In Malaysia, it took food delivery companies such as Foodpanda and Grab quite a long time to acquire really loyal users.
\n\n\n\nFor a long period of time, Foodpanda’s sales were mostly coming from its newly joined users in Malaysia. Until last June when the country was undergoing another big wave of Covid, the loyal users’ spending started to grow exponentially – thus contributing more sales to Foodpanda than its new users for the first time. In 2022, Foodpanda’s loyal users have already contributed more than its new users. Similar trends happened to Grab Malaysia, whose loyal users’ spending surpassed new users’ in 2021 April.
\n\n\n\n![\"Measurable](\"https://blog.measurable.ai/wp-content/uploads/2022/07/07042022-UsersLoyalty_Inline01-1600x1000.png\")
In Hong Kong, loyal users were seen earlier.
\n\n\n\nBoth Foodpanda and Deliveroo’s loyal users’ order volume in Hong Kong started to outgrow those from new users during the transition between late 2020 and early 2021. This uptrend momentum of loyal users keeps growing in this year.
![\"Measurable](\"https://blog.measurable.ai/wp-content/uploads/2022/07/07042022-UsersLoyalty_Inline02-1600x1000.png\")
In Taiwan, Ubereats and Foodpanda share the market.
\n\n\n\nBoth companies first had its loyal user group outgrow the new users at the beginning of Q3, 2020, though the difference being still small between the two groups of users. Foodpanda started to show a slight advantage in both loyal and new users in order volume starting from Q1, 2O21.
\n\n\n\n\n\n\n\nAlmost all the food delivery companies experienced a spike in orders during the pandemic, but it’s not easy to retain those consumers after. Based on Measurable AI’s granular e-receipts data, we review the overlap of food delivery user retention in Hong Kong, Taiwan and Malaysia.
\n\n\n\nWhen we look at users who join these food delivery platforms for the first time during the pandemic(1Q, 2020), the retention rate seems higher than expected.
\n\n\n\n![\"Measurable](\"https://blog.measurable.ai/wp-content/uploads/2022/07/07042022-UsersLoyalty_Inline06-1600x1000.png\")
In Taiwan, 58% of the users who joined in Q1, 2020 are still ordering food delivery in the latest quarter of 2022. In Hong Kong, 51% of the “Covid-spike” users are still actively ordering after 32 months. In Malaysia, the number is smaller at 48%. The retention rate gets relatively lower to users who joined after the peak pandemic period.
\n\n\n\n![\"Measurable](\"https://blog.measurable.ai/wp-content/uploads/2022/07/07042022-UsersLoyalty_Inline07-1600x1000.png\")
Food delivery orders in the retention analysis include only orders from on-demand food delivery apps in the three markets: namely Ubereats, Foodpanda, Deliveroo, Grab.
\n\n\n\n\n\n\n\nIn terms of user overlapping, in Hong Kong, the food delivery user overlap between Deliveroo and Foodpanda is around 17% in this year (Jan – Jun 2022). Deliveroo users in Hong Kong are less loyal now: almost half of the Deliveroo users also use Foodpanda during the first half of this year.
\n\n\n\n![\"Measurable](\"https://blog.measurable.ai/wp-content/uploads/2022/07/07042022-UsersLoyalty_Inline03-1-1600x1000.png\")
In Taiwan, the consumer overlap between UberEats and Foodpanda is similar to Hong Kong’s at around 18%. Among all the Foodpanda users, around 40% also ordered on UberEats in Taiwan in the first half of this year (Jan – June), and 47% the other way around.
\n\n\n\n![\"Measurable](\"https://blog.measurable.ai/wp-content/uploads/2022/07/07042022-UsersLoyalty_Inline04-1-1600x1000.png\")
At Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive alternative data across the digital economy, particularly for our consumer insights relating to the food-delivery industry.
\n\n\n\nUsers in Asia are keeping up with the spike in food delivery experienced during peak pandemic times. Read our former researches on other Asian markets in digital economies: food delivery, ride-hailing and e-commerce. Keep up-to-date with the industry changes by subscribing to The Data Insights newsletter or follow the Measurable AI insights blog.
\n\n\n\nIf you’re looking for alternative data sources for your hedge funds, corporates or researches, please contact business@measurable.ai.
\n\n\n\nABOUT US
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at charlie@measurable.ai
\n\n\n\nMeasurable AI is a leading alternative data provider for food-delivery, ride-hailing, and e-commerce in emerging markets. Covering Southeast Asia, Latin America, India, Middle East and more.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
Not all Big Macs are equal. Well, that’s when it comes to Big Macs you order online from any of the food delivery apps. They may all seemingly look and taste the same, but when you press the “order” confirm button, they will arrive at different times. More importantly, you will be charged different prices depending on which delivery service you order your Big Mac from.
\n\n\n\nWe take a dive into Measurable AI’s Hong Kong e-receipt consumer panel for the market share, average order frequency and order values for McDonald meals delivered to Hong Kong consumers amongst the three delivery platforms.
\n\n\n\nFor the sake of convenience (or call it laziness), we are well aware we need to pay more each time we order food online vs frequenting the actual physical restaurant premise. However, most of us aren’t aware how much exactly more we are paying when it comes to each food delivery order and the differential between the different food aggregator platforms. Can you guess the mark-up charge for the most popular items from McDonalds?
\n\n\n\nTake the fillet-o-fish as an example. It is astounding that the mark-up cost is almost as much as the burger itself. That’s like 2 for the price of 1! By comparing the prices of some best-selling items, we discovered that users of Deliveroo, Foodpanda and McDelivery pay 8-92% more than those who order the same items at the restaurant physically.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/06/28062022-HK_Mcdonald_Linkedin_inline_06.png\")
As an experiment, the Measurable AI team ordered the same “Burger Lover Combo for 1” on all three platforms for a Wednesday lunch and compared the speed of delivery and price across each of the apps.
\n\n\n\n| Deliveroo | Foodpanda | McDelivery | |
| Menu Item (HKD) | 70 | 70 | 70 |
| Delivery Fee (HKD) | 8 | 15 | 20 |
| Service Fee / Platform Fee (HKD) | 2 | 2 | / |
| Total Cost (HKD) | 80 | 87 | 90 |
| Delivery Speed | 26 min | 30 min | 30 min |
In our experiment, Deliveroo won that day on speed of delivery, cheapest delivery fee and overall price. McDelivery, while it didn’t charge a service fee, was the most expensive due to its delivery fee of 20 HKD (which accounts for 28.6% of the price of the meal). Foodpanda sits somewhere in between. The results might be very different when it comes to different combos, order times, and locations.
\n\n\n\nHow many Mcdonald’s orders are delivered via the apps, what is the average spend for such orders and how often does the average McDonald’s patron in Hong Kong order McDonald’s delivery each month?
\n\n\n\nWe take a look at Measurable AI’s e-receipt consumer panel for the delivery companies in Hong Kong to understand what insights they reveal about McDonald’s delivery orders.
\n\n\n\nBy monthly order volume, we discovered McDonald’s is by far the most frequently ordered on Foodpanda, followed by Deliveroo, and then McDelivery.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/06/28062022-HK_Mcdonald_Linkedin_inline_02.png\")
How often do McDonald’s consumers in Hong Kong order delivery? Measurable AI’s panel indicates that McDonald’s most loyal fans are those who use the McDonald’s app and pick up — and probably dine in the restaurant themselves. This group tends to frequent McDonald’s at up to 3.8x a month. While for other food delivery apps (i.e. Foodpanda, Deliveroo, and McDelivery), the average frequency of McDonald’s delivery tends to range from 1.7 to 1.9 x a month as of April 2022.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/06/28062022-HK_Mcdonald_Linkedin_inline_01.png\")
In terms of the average spend on McDonald’s delivery orders amongst the three delivery platforms in Hong Kong, for the month of April 2022, Deliveroo users seem to spend the most on a McDonald’s delivered meal with an average order value of ~ HKD 162. This is followed by Foodpanda at ~ HKD 122 and McDelivery at ~ HKD 107.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/06/28062022-HK_Mcdonald_Linkedin_inline_03-2.png\")
We took a closer look at our dataset to see which of the three delivery players was best at attracting the most loyal McDonald’s fans.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/06/28062022-HK_Mcdonald_inline_05.png\")
Among all Foodpanda’s McDonald fans, 30% of them were also tinkering with Deliveroo for McDonald’s meals and 13% resorted to McDelivery. More or less similar to Foodpanda, 15% of Deliveroo’s users also use the McDelivery app for McDonald’s meals. Meanwhile, 36% and 30% of McDelivery app users will also use Foodpanda and Deliveroo’s services for McDonald orders.
\n\n\n\nLastly, based on Measurable AI’s data, as of 1Q22, among the variety of restaurants on both platforms, McDonald’s manages to account for around 4.7% of the market share by order volume on Deliveroo and 3.7% on Foodpanda.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/06/28062022-HK_Mcdonald_Linkedin_inline_04.png\")
Like what you read or want more up-to-date figures? If you are interested in our consumer insights, feel free to check out our previous articles in our Data Insights blog. Or don’t hesitate to contact us business@measurable.ai.
\n\n\n\nPrevious articles we have authored unveiling insights on the food delivery markets in other regions:
\n\n\n\nZomato vs Swiggy – Who Leads the Food Delivery Race in India?
\n\n\n\nThe SouthEast Asia Food Delivery War in Brief
\n\n\n\nMcDonald’s the Most Loved on UberEats and Foodpanda in Taiwan
\n\n\n\nMichelle Tang is a Managing Director at Measurable AI who specializes in digital marketing and strategic partnerships with a passion for data analytics and consumer intelligence. She enjoys research and storytelling with insights derived from Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at michelle@measurable.ai.
\n\n\n\nMeasurable AI is the leading granular e-receipt provider for consumer intelligence in the emerging markets with a core focus in South East Asia, Middle East, India and Latin America. We cover the digital economy with the major sectors being ride hailing, food delivery, e-commerce and digital payments.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
同一間麥當勞，同一個巨無霸，為何會有不一樣的價錢？無論顧客到店購買、手機下單、或是用麥麥送、Foodpanda、戶戶送 Deliveroo 等平台點餐，都享有不一樣的價錢、體驗、和速度。
\n\n\n\n大數據公司 Measurable AI 針對香港餐飲外賣市場，將電子購物數據轉化成市場趨勢分析，分析外賣市場變化和麥當勞顧客的消費習慣；我們並比較了戶戶送 Deliveroo、Foodpanda 和麥麥送的價錢和送遞時間。
\n\n\n\n\n\n\n\n生活方便的代價是甚麼？眾所週知，比起在餐廳堂食或外賣自取，我們每次使用外賣平台訂購餐點時都需要支付額外費用。
\n\n\n\n在分秒必爭的香港，你能想像麥當勞外賣速遞的溢價幅度嗎？我們比較了麥當勞餐廳和外賣平台（Deliveroo、Foodpanda 和麥麥送）的食品價錢，發現外賣 App 用戶比在餐廳購買相同餐點的顧客多付 8% 至 92%。
\n\n\n\n\n\n\n\n以魚柳飽為例，餐廳外賣自取價錢為 $12，經外賣平台則需付 $23，價格差距幾乎能買多一個魚柳飽。
Measurable AI 團隊分別以 Deliveroo、Foodpanda 和麥麥送，在同一間麥當勞餐廳訂購同一個巨無霸餐配岩鹽焦糖燕麥咖啡，比較運費、送遞時間和用戶體驗。
\n\n\n\n結果如下：
\n\n\n\n![\"香港麥當勞外賣大比拼\"](\"https://blog.measurable.ai/wp-content/uploads/2022/09/mcd-delivery-price-comparison-hk.jpg\")
這次實測結果顯而易見：Deliveroo 在今次的購買組合中稍勝一籌。雖然麥麥送沒有收取平台費/ 服務費，但每單運費 $20 (佔總價錢 28.6%) 令其成為最貴的巨無霸餐。
\n\n\n\n在用戶體驗層面，Deliveroo 和 Foodpanda 的版面簡潔易用，搜尋「麥當勞」時系統自動推薦距離最近的分店，並顯示預計送達時間。落單後可追蹤訂單狀態，並在出餐和送達時收到通知。
\n\n\n\n至於麥當勞 App，在選用麥麥送後需輸入送餐地址，系統自動選擇最近的分店，用家不用選擇。缺點是，如果你想享用 McCafe 咖啡，而距離最近的麥當勞不是 McCafe 分店，或許你需要使用其他外賣 App 了。在麥麥送結帳時，我們嘗試了幾次才能成功送出訂單；落單後會收到電郵收據，郵件附有追蹤訂單狀態的連結。
\n\n\n\n\n\n\n\n老麥是港人最愛的快餐之一 (亦是糧尾恩物)，超過200間麥當勞分店遍及全港。究竟有多少麥當勞訂單是用 App 點餐？每單平均消費是多少？港人每月平均用 App 叫多少次麥記？
\n\n\n\n以上問題，通通能透過 Measurable AI 的獨家數據集來解答。Measurable AI 將大量電子購物收據整合成外賣市場分析，了解市場趨勢和麥當勞顧客的點餐習慣。
\n\n\n\n根據近半年的麥當勞訂單數據，Foodpanda 每月訂單量最高，其次是 Devlieroo、最後是麥麥送。
\n\n\n\n香港人每月光顧麥當勞多少次？根據 Measurable AI 的獨家數據，使用麥當勞 App 手機下單 (堂食或外賣) 的顧客最常點餐，每月平均次數高達 3.8 次。
\n\n\n\n至於其他外賣平台如 Foodpanda、Deliveroo 和麥麥送，每月光顧麥當勞的平均次數介乎於 1.7 至 1.9 之間。(數據截至 2022 年 4 月)
\n\n\n\n下圖呈現 Foodpanda、Deliveroo 和麥麥送麥當勞訂單的平均消費額。在 2022 年 4 月，Deliveroo 用戶於麥當勞的平均花費最高，平均消費額為 HK$ 161；Foodpanda 緊隨其後，平均消費額為 HK$122；而麥麥送則為 HK$ 107。
\n\n\n\n我們深入分析 Measurable AI 所得數據，發現 Foodpanda 的麥當勞客戶中，有 30% 用戶會於 Deliveroo 訂購麥當勞餐點、13% 用戶會光顧麥麥送。跟 Foodpanda 的情況類似，Deliveroo 的麥當勞客戶中有 15% 也會使用麥麥送下單。深入了解香港外送用戶忠誠度表現， 歡迎閱讀 Measurable AI 最新調查。
\n\n\n\n與此同時，在所有麥麥送用戶中，有 36% 和 30% 用戶會使用 Foodpanda 和 Deliveroo 來訂購麥當勞餐點。
\n\n\n\n根據 Measurable AI 的訂單數據，截至 2022 年第一季，麥當勞在 Deliveroo 的市場佔有率為 4.7% ；在 Foodpanda 的市占率則為 3.7% 。可想而知，麥當勞的市場影響力不可小覷！
\n\n\n\n想知更多？如想得到最新市場數據，歡迎瀏覽 Measurable AI 其他數據分析文章，或以電郵 (business@measurable.ai) 聯絡我們！
\n\n\n\n\n\n\n\n另類數據公司 Measurable AI 是新興市場最大的電子收據消費數據平台之一，提供最新、最實時的獨家消費數據洞察。我們專注於東南亞、中東、印度和南美等新興市場，主要行業涵蓋美食外送、叫車服務、電商和電子支付。
\n\n\n\nMeasurable AI 分享匿名消費者數據，並協助企業、投資者及研究機構了解並應對瞬息萬變的市場。通過收集海量的電子收據數據，我們整合出消費趨勢、市場佔有率變化，以及預測企業盈利及財務狀況。
\n\n\n\n\n\n\n\n*文章內容並非投資建議，僅供參考。如要引用、轉發或修改文章內容，需先獲得書面同意。如有傳媒查詢，請發送電郵至 press@measurable.ai
\n\n\n\n\n\n\n\n更多數據分析文章：
\n\n\n\n兩成人叫清湯米線、走韭多過走芽？一文看香港人食譚仔及三哥外賣習慣
\n\n\n\n2022 香港虛擬銀行排名：另類數據分析各大 Virtual Bank、電子錢包用戶增長
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In 2022, main players in the Southeast Asia food delivery market remain Grab, Foodpanda, Gojek, followed by Deliveroo, Shopee Food, and new joiner Airasia Food. This insight article will provide you with a quick overview of the Southeast Asia on-demand food delivery market across metrics such as market share, consumer spending analysis, and user overlap in Singapore, Malaysia, Indonesia, Thailand and Philippines – all calculated based on Measurable AI’s latest transactional data.
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive dataset across the digital economy, particularly for our insights into the food-delivery industry.
\n\n\n\nSINGAPORE’s food delivery market is quite crowded with four players competing with each other. Grab still tops its base market with over 50% of the market share by sales, followed by its head-to-head competitor Foodpanda who owns around 37% of the market share in the past 16 months (2021 Jan to 2022 May). The remaining market is taken by Deliveroo whose share hovers around 10%. New joiner Airasia Food is also running in Singapore at the moment, whose volume hasn’t really taken off yet.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/06/06162022-SEAFoodDelivery_Inline01-1-1600x1000.png\")
In MALAYSIA, Foodpanda and Grab share the majority of the market share, with potential threat from new joiners as Shopee Food and Airasir Food. We look deeper into these two companies by consumer behavior with Measurable AI’s granular transactional e-receipts data.
\n\n\n\nBoth Foodpanda and Grab have successfully won loyalty users through the pandemic. Our data shows that for a long time, Foodpanda’s new users (whose first order is within a year) contributed more orders than the loyal users (who have been actively ordering since a year ago). Until last June when Malaysia was undergoing a severe wave of Covid, the loyal users’ spending started to grow exponentially – thus contributing more sales to Foodpanda than its newly joined users for the first time in September. Since January 2022, Foodpanda’s loyal users have already contributed more than its new users. Similar trends happened to Grab, whole loyal users’ spending surpassed new users’ back in 2021 April, and still do until now. By market share, Grab’s share by order volume is smaller than Foodpanda in Malaysia, but has been slowly catching up in the past year. Grab’s monthly order volume has grown a lot by around 60% since January 2021, as of May 2022.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/06/06162022-SEAFoodDelivery_Inline03-1600x1000.png\")
INDONESIA is the main battlefield for Grab and Gojek in both food delivery, and ride-hailing. Other than these two, online grocery has also been a potential product the two companies are competing with. According to Measurable AI’s unique e-receipts data panel, on both platforms, the ratio of food versus online grocery orders is around 5% in the latest quarter this year. On Grab, the Average Order Value(AOV) of online grocery in Indonesia hovers around 8 USD per order (during 1Q22). While for Grab’s online food delivery, the AOV has been quite stable at around 5.6 USD for the past 16 months.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/06/06162022-SEAFoodDelivery_indonesia_grabFoodVSGrabMart_v3.png\")
Grab is gaining momentum in the PHILIPPINES food delivery market, whose market share by sales grew from around 40% to around 50% in the latest months in Q2, 2022. In the Philippines, other than the on-demand food delivery platforms as Grab and Foodpanda, other players in the fast food industry are also reckoned to be potential competitors.
\n\n\n\nIn our former report on the Phillipines food market share, McDonalds and the famous local fried chicken brand Jollibee take up around 6% of the total market share in terms of monthly order volume. In terms of average spending, Grab’s AOV in the Philippines hovers around 615 Philippine peso per order, which equals around 11.75 USD. Foodpanda users spend around half the amount per order at around 365 peso per order (6.97 USD).
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/06/06162022-SEAFoodDelivery_Inline02-1600x1000.png\")
Let’s look into user overlap metrics in the THAILAND food delivery market: According to Measurable AI’s transactional data, around 45% of Foodpanda consumers only shopped on Foodpanda, and 37% only at Grab. 17% of the users choose to order on both platforms in the past 12 months (from 2021 May to 2022 May). In terms of consumer spending, Grab users on average spend more each order over 6 USD, while Foodpanda’s AOV hovers below 5 USD. Other than Foodpanda and Grab, other players in the food delivery in Thailand are Lineman, and Airasia Food (which Measurable AI will soon cover).
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/06/06162022-SEAFoodDelivery_Thailand-1600x1000.png\")
In the Southeast Asian food delivery market, there has been some stabilization in the competition for the past year and half. However, major players in this market also run different sectors of business and may experiment with new business models in the future. It’s hard to tell how this industry will evolve in the future. Keep up-to-date with the industry changes by subscribing to The Data Insights newsletter or follow the Measurable AI insights blog.
\n\n\n\nInterested in finding out more about the ride-hailing sector? Talk to us for more detailed, transactional datasets on the ride-hailing industry in more markets. Contact business@measurable.ai.
\n\n\n\nABOUT US
\n\n\n\nCharlie Sheng is a serial entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at charlie@measurable.ai
\n\n\n\nMeasurable AI is a leading alternative data provider for food-delivery, ride-hailing, and e-commerce in emerging markets. Covering Southeast Asia, Latin America, India, Middle East and more.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
When it comes to the food delivery aggregators in the Middle East, ever wonder who is catering to the Emiratis’ hankerings in the United Arab Emirates? Or curious to find out how much does the average UAE consumer spend on each of the major food delivery services? What about the frequency in which they are ordering food delivery services across or from each of the food delivery apps and which dishes are the most popular for the Middle Eastern palate?
\n\n\n\nIntrigued? Read on to find out more.
\n\n\n\nAccording to Statista, revenue in the UAE online food delivery segment is projected to reach US$2.18bn in 2022 with an expected annual growth rate of 6.33% (CAGR 2022-2026), resulting in a projected market volume of US$2.79bn by 2026. The number of online food delivery users is expected to amount to 5.5m by 2026 with a user penetration rate of around 44.5% in 2022.
\n\n\n\nNow, let’s dive deeper into Measurable AI’s granular e-receipt consumer panel in the Middle East to see what insights we can unearth when it comes to online food delivery in the UAE.
\n\n\n\nFirst, as a broad overview, the main food delivery players in the UAE are Talabat, Careem Now, Zomato (owned by Delivery Hero and operated by its subsidiary Talabat Middle East) and Deliveroo. Can you guess which player is the most loved amongst the Emiratis?
\n\n\n\nWhen it comes to market share (calculated based on order volume), our panel reveals that Talabat is leading by a clear mile with Deliveroo coming in as the runners up, followed closely by India’s Zomato (which was acquired by Delivery Hero in 2019).
\n\n\n\n![\"UAE](\"https://blog.measurable.ai/wp-content/uploads/2022/06/06072022-MiddleEastFoodDelivery_Inline01-1600x1000.png\")
While Talabat dominates in terms of market share (by order volume), Deliveroo seems to attract the bigger spenders when we look at the average order value per receipt.
\n\n\n\n![\"UAE](\"https://blog.measurable.ai/wp-content/uploads/2022/06/06072022-MiddleEastFoodDelivery_Inline02-1600x1000.png\")
Diving into our granular dataset of Deliveroo deeper, it looks like the merchants that account for the biggest order amounts (i.e. more than 100USD in total) per Deliveroo’s receipts this year to date are Le Pain Quotidien (‘LPQ’), Tashas To Go and Projeto Acai.
\n\n\n\nWhat are they most likely to order from LPQ? Seems like a lot of Emiratis’ love the vegan chickpea omelet (46 AED / 12.5 USD).
\n\n\n\nWhat about Talabat? What are the Emirati’s ordering from the most popular food delivery app in the UAE?
\n\n\n\nWhile Deliveroo seems to cater for the higher end type of restaurants, the most popular restaurants which deliver on Talabat seem to be the popular fast food chains KFC, and McDonalds, followed by Pizza Hut and Burger King. Our dataset also revealed popular usage of Talabat Mart, Talabat’s own grocery delivery service.
\n\n\n\n![\"Most](\"https://blog.measurable.ai/wp-content/uploads/2022/06/06072022-MiddleEastFoodDelivery_Inline07-1600x1000.png\")
When it comes to payment methods, zooming in on Talabat alone (given its popularity), our data reveals credit card still remains the preferred payment method YTD (i.e. 44% of Talabat users from our panel choose credit card), followed by cash (29%).
\n\n\n\n![\"Preferred](\"https://blog.measurable.ai/wp-content/uploads/2022/06/06072022-MiddleEastFoodDelivery_Inline04-1600x1000.png\")
Now, let’s take a look at delivery fees across the four players. From our panel, the delivery fee amongst the four players have been hovering within the range of 3.67-6.98 AED (1-1.9 USD) mark on average for each order. Deliveroo seems to be the only player that has lowered its delivery fees since the 2H21 to remain competitive.
\n\n\n\n![\"Food](\"https://blog.measurable.ai/wp-content/uploads/2022/06/06072022-MiddleEastFoodDelivery_Inline03-1600x1000.png\")
Note that this data only captures those paying a delivery fee for each order (so excludes instances where delivery fee is waived).
\n\n\n\nLast but not least, user overlap. Measurable AI’s granular dataset also enables us to see how much each food platform’s customers also utilize the services of its competitors. From our UAE panel, we can infer that Deliveroo’s users are a big fan of Talabat, with 55% of Deliveroo users also ordering from Talabat.
\n\n\n\nThe reverse case does not necessarily apply however. Flipping the coin, our data reveals that only 15% of Talabat users also order on Deliveroo (do they not like to order the LPQ vegan chickpea omelet? :p ).
\n\n\n\nAmongst the four players, we can deduce that Talabat’s customers are the most loyal to the delivery apps services.
\n\n\n\n![\"User](\"https://blog.measurable.ai/wp-content/uploads/2022/06/06072022-MiddleEastFoodDelivery_Inline05-1600x1000.png\")
Interested to see which of the four players reaps the most orders per week from their existing clientele or how often new users are enjoying their services? Contact the writer at michelle@measurable.ai to receive more granular insights or request access to Measurable AI’s unique datasets.
\n\n\n\nAlso, don’t forget to check out Measurable AI’s other Insight articles for sectors relating to the new digital economy. Since we are on the topic of food delivery, some of our other articles pertaining to this competitive sector are:
\n\n\n\nABOUT US
\n\n\n\nMichelle Tang is a Managing Director at Measurable AI who specializes in digital marketing and strategic partnerships with a passion for data analytics and consumer intelligence. She enjoys research and storytelling with insights derived from Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at michelle@measurable.ai.
\n\n\n\nMeasurable AI is the leading granular e-receipt provider for consumer intelligence in the emerging markets with a core focus in South East Asia, Middle East, India and Latin America. We cover the digital economy with the major sectors being ride hailing, food delivery, e-commerce and digital payments.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
Southeast Asia’s ride-hailing market keeps evolving as more players join and as users’ behavior shifts. As most of the Southeast Asian countries reopen, the ride-hailing market has gradually grown back to normal pre-covid figures. In Thailand, Bolt and Grab are the two major ride-hailing apps still in the game after Gojek sold its Thai business to Airasia last year.
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive dataset across the digital economy including the ride-hailing industry.
\n\n\n\nAccording to Measurable AI’s latest e-receipts data, Grab remains the biggest player in the Thailand ride-hailing market, owning around 70% of the market share in the first quarter of 2022, by order volume.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/05/05272022-ThailandRideSharing_Inline02-1600x1000.png\")
Bolt’s market share started at around 12% back at the beginning of 2021, and has kept growing throughout the years. In August 2021, when Gojek already quit the Thai market, Bolt once shared around 36% of the market share by order volume. As of March 2022, Bolt accounts for around 33% of the market share against Grab.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/05/05272022-ThailandRideSharing_Inline01-1600x1000.png\")
When it comes to market share by sales, Bolt’s growth is a bit less significant compared to its chart by order volume. Its relatively lower average order volume (AOV) might have contributed to this. When Bolt just launched in Thailand, it committed to zero driver commission for six months and set a fare lower than the market. All this helped Bolt establish its reputation as a lower price ride-hailing company in Thailand.
\n\n\n\nBased on Measurable AI’s e-receipts data in Thailand, Grab’s ride-hailing users spend on average 131.4 THB (3.86 USD) in 1Q 22, much higher than Bolt’s AOV at 93.5 THB (2.74 USD). Both companies’ users spent much less during the summer of 2021, but soon this grew to its highest AOV since 2021.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/05/05272022-ThailandRideSharing_Inline03-1.png\")
Bolt, the Estonian ride-hailer who’s popular in East Europe and Africa entered the Thailand market in mid 2020, when the whole ride-hailing business was hit by the pandemic. Despite the fact that Thailand is the only Southeast asian market Bolt now operates in, it’s growing steadily in the market. Other potential players in the ride-hailing space in Thailand include the Airasia Super app, inDriver, and Lineman Taxi.
\n\n\n\nFollow Measurable AI’s insights blog or subscribe to our newsletter to learn more about the ride-hailing market intelligence based on real-time transactional data.
\n\n\n\nInterested in finding out more about the ride-hailing sector? Talk to us for more detailed, transactional datasets on the ride-hailing industry in more markets. Contact business@measurable.ai
\n\n\n\nPrevious articles we have authored unveiling insights on the ride-hailing markets in other regions:
\n\n\n\nGojek vs Grab Market Share Report 2022 Q1: Ride-hailing
\n\n\n\nABOUT US
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at charlie@measurable.ai
\n\n\n\nMeasurable AI is a leading alternative data provider for food-delivery, ride-hailing, and e-commerce in emerging markets. Covering Southeast Asia, Latin America, India, Middle East and more.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
Online Food Delivery apps are changing the traditional fast food restaurant business. With their user-friendly experience, professional driver network, and rapid global expansion, many fast food chains have chosen to onboard the food delivery platforms to keep up with the on-demand economy.
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets. We are well regarded for our comprehensive dataset across the food delivery industry. Follow our insights blog or subscribe to our newsletter to learn more gain deeper and more accurate food delivery market intelligence.
\n\n\n\nAccording to Measurable AI, McDonalds remains to be the most popular fast food choice in Taiwan. Among the variety of restaurants on both platforms, McDonald’s manages to account for around 5.3% of market share by revenue on both Foodpanda and Ubereats in the latest quarter Q1, 2022.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/05/05122022-TaiwanFoodDelivery_Inline04-1-1600x1000.png\")
Under the fast food sector alone, McDonalds accounts for around 40% of market share among the top 10* fast food chain restaurants on Foodpanda, while on UberEats, it accounts for a whopping 47% among the same top 10 fast food chain restaurants.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/05/05122022-TaiwanFoodDelivery_Inline02-1-1600x1000.png\")
While the increase in total sales generated from the food delivery apps seems to be a good deal for fast food restaurant outlets, question arises whether it will cannibalize the fast food chain’s own delivery services? Apart from partnering with food delivery giants, McDonald’s has been delivering its own meals too (McDelivery) since 2007 in Taiwan. Such a service is still loved by the loyal hungry McDonald customers.
\n\n\n\nWhat % of delivery comes from McDelivery vs Ubereats vs Foodpanda? Based on Measurable AI’s e-receipts panel data, order volume from McDelivery remains surprisingly high amid the rapid growth of food delivery apps. Subscribe to our newsletter to learn more about our findings and upcoming reports on the highly contested Food Delivery industry.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/05/taiwan_1-1600x1000.png\")
Stepping away from McDonalds, other fast food brands have chosen different strategies for increasing revenues. Though most are available on both platforms, some have chosen sides. Starbucks has recently switched to Foodpanda for an exclusive partnership, following which its monthly order volume saw a spike. Another popular fast food brand, Mos Burger, also chose to remain exclusively with Foodpanda in Taiwan.
\n\n\n\n\n\n\n\nOur former report “Tale of Two Guys: Food Delivery Market in Taiwan” reveals that since 2019, UberEats had been leading the race in Taiwan’s food delivery market up until 2020, when the “two guys” started to encroach upon the market share. What’s the latest score for the Taiwan food delivery market share?
\n\n\n\nBased on Measurable AI’s very own transactional dataset, Foodpanda and UberEats are still head to head competitors. In terms of market share by total charged (which is the dollar amount of each order after discounts and promotions), in Q1 2022, each company shared exactly 50% of the market share. In the past 6 months, Foodpada managed to etch out a slight advantage at 51%.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/05/05122022-TaiwanFoodDelivery_Inline01-1600x1000.png\")
Measurable AI’s granular e-receipts data points also show that along the way UberEats users still spend more on each order than those on Foodpanda, though the gap is getting thinner. In the most recent 6 months(2021 September to 2022 March), UberEats users spent around USD 11.1 each order. Foodpanda customers’ average spend hovered around USD 9.5.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/05/05122022-TaiwanFoodDelivery_Inline03-1600x1000.png\")
Follow Measurable AI’s insights blog or subscribe to our newsletter to learn more about the food delivery market intelligence based on real-time transactional data.
\n\n\n\nInterested in finding out more about the food delivery sector? Talk to us for more detailed, transactional datasets on the food delivery industry in more markets. Contact business@measurable.ai
\n\n\n\nPrevious articles we have authored unveiling insights on the food delivery markets in other regions:
\n\n\n\nZomato vs Swiggy – Who Leads the Food Delivery Race in India?
\n\n\n\nPhilippines Food Delivery Market Share: Who Delivers More Coconuts
\n\n\n\nA Roller Coaster that only goes up: Food-Delivery Companies in Asia (III)
\n\n\n\nABOUT US
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at charlie@measurable.ai
\n\n\n\nMeasurable AI is a leading alternative data provider for food-delivery, ride-hailing, and e-commerce in emerging markets. Covering Southeast Asia, Latin America, India, Middle East and more.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
In an era where data-driven decision making and business intelligence are becoming increasingly important, businesses and investors are perpetually seeking faster ways to gauge what is going on in the market and how to better position themselves for success. One way to achieve this is to leverage alternative data sources such as e-receipts data.
\n\n\n\nIn this article, we will explore how e-receipt data can be utilized to help further business intelligence or facilitate the investment process when it comes to arriving at predictions.
\n\n\n\nFirst things first, what is e-receipt data? ‘E-receipt’ is short for electronic receipt and is simply real purchase data collected from transactional email receipts. From tracking purchase trends, basket composition, inventory levels, making informed sales forecasts, optimizing online stores, and making smarter investment decisions, e-receipt data has proven to be an accurate data source for extracting deeper consumer insights and for forecasting revenues.
\n\n\n\nUnlike credit card and POS data though, panel size and available data for evaluation for e-receipts is typically smaller since the collection process requires an opt-in system or rewards app. Nonetheless, e-receipt data is largely accurate at tracking retail revenue so can be confidently utilized as a means to conduct revenue forecasting and to better understand the customer journey from a transactional data point of view.
\n\n\n\nOne of the major advantages of e-receipt data is the level of granularity offered and the longer period of complete history. This contrasts with credit card data, which, while more commonly used due to its accessibility and large amount of volume, only offers one merchant name and the amount of dollars spent at that particular merchant as a whole. Item-level information, purchase patterns, consumer behavioral trends and demographic information will not typically be available.
\n\n\n\nFor example, owing to the granularity of e-receipt data, email receipt data can be used to deduce metrics such as an average item’s cost rather than just the average amount spent by customers. Such level of detail in data really aids organizations who conduct extensive consumer research and are willing to invest in consumer insights and business analytics.
\n\n\n\nThat said, there are limitations of e-receipt data. Namely, they cannot capture in-person purchases from brick-in-mortar stores that don’t send e-receipts.
\n\n\n\n![\"E-receipt](\"https://blog.measurable.ai/wp-content/uploads/2022/05/04282022-E-receiptData_Inline01-1600x1000.png\")
![\"E-receipt](\"https://blog.measurable.ai/wp-content/uploads/2022/05/04282022-E-receiptData_Inline02-1-1600x1000.png\")
![\"E-receipt](\"https://blog.measurable.ai/wp-content/uploads/2022/05/04282022-E-receiptData_Inline03_revised-1600x1000.png\")
You may be wondering, how do firms even attain e-receipt data? Often it is collected through an email software the end-user has installed. An automated scraper is coded to extract information from transactional emails only, bypassing all personal emails. The data is then anonymized and aggregated to remove any personal identifiable information (‘PII’). Sometimes the data is further structured into different categories (e.g. SKU of the product(s) purchased, time and date of the transaction, geolocation data, country transaction took place, and payment method used).
\n\n\n\nAs to what data fields can be extracted from an e-receipt, you can take a look at the below examples.
\n\n\n\n![\"Sample](\"https://blog.measurable.ai/wp-content/uploads/2022/05/04282022-E-receiptData_Inline04-1600x1000.png\")
![\"Sample](\"https://blog.measurable.ai/wp-content/uploads/2022/05/04282022-E-receiptData_Inline05-1600x1000.png\")
![\"Sample](\"https://blog.measurable.ai/wp-content/uploads/2022/05/04282022-E-receiptData_Inline06-1600x1000.png\")
Typical fields captured are customers name, seller’s name, the product or service that has been paid for, the quantity of products purchased, the amount paid, payment method used, the date of transaction, and the time of transaction.
\n\n\n\n\n\n\n\nE-receipt data is predominantly used by corporations and investors for commercial intelligence and forecasting power respectively.
\n\n\n\nBusinesses of all sizes can benefit from utilizing data from e-receipts, and many investment firms are leveraging on e-receipts as an alternative data source to forecast sales figures and calculate market share.
\n\n\n\nFrom startups, consumer goods companies, consultancies, to Fortune 500 companies, businesses of all sizes and across multiple industries can all stand to benefit from the intelligence gathered from e-receipts. Some common use cases are listed below:
\n\n\n\nOne of the most common use cases of our e-receipts data is to serve as a proxy of companies’ revenues and sales.
\n\n\n\nAt Measurable AI, we have backtested our data against reported revenues and orders as well as analysts’ consensus estimates as reported by Bloomberg. For illustrative purposes, below is a sample of backtested data on Etsy.
\n\n\n\n![\"Etsy](\"https://blog.measurable.ai/wp-content/uploads/2022/05/04282022-E-receiptData_Inline07_revised-1600x1000.png\")
![\"Etsy](\"https://blog.measurable.ai/wp-content/uploads/2022/05/04282022-E-receiptData_Inline08-1600x1000.png\")
A benefit of using the email receipts dataset is that the investors can generate predictions swiftly following the quarter’s end as all sample data is updated on a weekly or daily basis with information syncing in almost real time.
\n\n\n\nFor more details about our backtesting results and companies covered, please contact us at business@measurable.ai.
\n\n\n\n\n\n\n\n\n\n\n\nMichelle Tang is a Managing Director at Measurable AI who specializes in digital marketing and strategic partnerships with a passion for data analytics and consumer intelligence. She enjoys research and storytelling with insights derived from Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at michelle@measurable.ai.
\n\n\n\nMeasurable AI is the leading granular e-receipt provider for consumer intelligence in the emerging markets with a core focus in South East Asia, Middle East, India and Latin America. Major sectors covered are ride hailing, food delivery, e-commerce and digital payments.
\n
With the grand and young population, the Philippines digital economy is emerging to be one of the fastest growing among its peers in Southeast Asia and is touted to become the next asia tiger economy. Previously, we’ve shared the food delivery landscape in many markets across southeast asia (read latest here). This time, we’re going to look deeper into the competition between Foodpanda and Grab in the islands of Philippines. Who’s winning and what’s the latest score?
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets, delivering both aggregated and raw data.
\n\n\n\nWe look at the food delivery market share by two different measures: revenue and order volume. In terms of revenues, we use the metrics “totalPrice” (which is the dollar amount of each order before discounts and promotions). Based on Measurable AI’s very own transactional dataset, Foodpanda has been leading in the Philippines in 2021, owning averagely around 58% of the market share by revenue. This advantage became a bit smaller in the latest quarter of 2022: as of March 2022, Foodpanda’s market share by revenue dropped to around 49% against Grab at 51%.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/04/04212022-PhilippinesFoodDelivery_Inline01-1600x1000.png\")
Other than Foodpanda and Grab, food delivery veterans fast food chains are also in this game. Though most are also available on third party food delivery apps, some fast food chains still run their own delivery apps and take care of the orders themselves. In the Philippines, McDoanlds and the famous local fried chicken brand Jollibee on-demand food delivery orders take up around 6% of the total market share in terms of monthly order volume.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/04/04212022-PhilippinesFoodDelivery_Inline02-1600x1000.png\")
According to Measurable AI’s e-receipts data, Foodpanda owns more order volume in the Philippine market, though with a lower average order volume than its competitor Grab. On average, Grab’s AOV in the Philippines hovers around 615 Philippine peso per order, which equals around $11.75 US dollars. Foodpanda users spend around half the amount per order at around 365 peso per order (USD$6.97).
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/04/04212022-PhilippinesFoodDelivery_Inline03-1600x1000.png\")
As mentioned in the earlier paragraph, the competition for Foodpanda versus Grab has been changing recently in the Philippines. As the pandemic gradually comes to an end, how will this food delivery war go?
\n\n\n\nFollow Measurable AI’s insights blog or subscribe to our newsletter to learn more about the food delivery market intelligence based on real-time transactional data.
\n\n\n\nTalk to us for more detailed, transactional datasets on the food delivery industry in more markets. Contact business@measurable.ai.
\n\n\n\nRead previous food delivery reports here.
\n\n\n\nABOUT US
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at charlie@measurable.ai
\n\n\n\nMeasurable AI is a leading alternative data provider for food-delivery, ride-hailing, and e-commerce in emerging markets. Covering Southeast Asia, Latin America, India, Middle East and more.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n\n\n\n\n
When you talk about Indian e-commerce, Amazon and Flipkart are the rulers in this hotly contested space. Flipkart, a homegrown e-commerce platform, and Amazon’s Indian arm each reportedly have market shares of over 30% in the country’s online retail market.
\n\n\n\nIn this article, we take a look at our transactional e-receipt consumer panel in India to see what consumer intelligence and actionable insights we can extract.
\n\n\n\nSo how much does the average Indian consumer spend? Diving into MAI’s unique consumer panel data of email receipts for Amazon and Flipkart India, we estimate that the average spend is around $70 USD each month across both platforms for Indian consumers.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/04/04162022-IndiaEcommerce_Inline02-1600x1000.png\")
Looking into our panel GMV data, we witnessed Amazon India overall enjoying more sales. The uptick in sales during the October months for years 2020 and 2021 corresponds to India’s festive season whereby Amazon and Flipkart compete head on head for the best month long sales season. Amazon runs its “Great Indian Festival”, while Flipkart coins its massive October sales as the “Big Billion Days Sale”.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/04/04162022-IndiaEcommerce_Inline01-1600x1000.png\")
We are not surprised to see the massive spike in October 2021 last year as the two rivals both prolonged the duration of their sales during the festive month. As reported by IBEF, in October 2021 during the festive season in India, the e-commerce sales reached US$ 4.6 billion.
\n\n\n\nMeanwhile, the dip in April 2020 can be explained by the first nationwide lockdowns in India which started at the end of March due to the pandemic. While offline stores were shut, online stores remained operational (logistics however, were impacted). After a sharp decrease in April, online spending picked up again in May 2020.
\n\n\n\nWe mapped out GDP per state in India vs order volumes revealed in our dataset. As expected, states exhibiting higher GDP corresponded to higher order volumes in our panel.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/04/04162022-IndiaEcommerce_Inline03-1600x1000.png\")
Another interesting comparison is the premium service offered by these two companies. Our panel reveals that amongst Amazon users, 20% subscribe to their Prime service whereas for Flipkart, neary 50% of its users are on their premium package.
\n\n\n\nMost of you are probably aware of Amazon Prime. A step up from the basic Amazon users, Amazon prime offers its members free delivery at a monthly subscription price of Rs 179 (or yearly offer at Rs 1499). The suite includes other services like Prime Video, Prime Music.
\n\n\n\nFlipkart’s equivalent to Amazon Prime is Flipkart Plus. Unlike Amazon Prime which needs to be paid for, Flipkart Plus is an earned loyalty program with no subscription fee. Benefits include access to special marketplace launch previews, availing free and fast delivery. Other perks include prioritized customer support, gaining unique Flipkart Pay Later options and curated benefits from ecosystem partners (across travel, OTT, F&B, lifestyle, and health and fitness).
\n\n\n\nWhile both competitor’s premium members enjoy lower delivery fees than the regular users, Amazon’s delivery fee for its Prime members is lower than Flipkart’s Plus. Noticeably, Flipkart has reduced its delivery fees and kept it reduced since 2021.
\n\n\n\nIn terms of delivery time, we estimated this variable in our e-receipt panel by the date/time gap between the order confirmation email and the order delivered email to our panel members. For basic users of both companies, the delivery time seems to be pretty much the same. However, Amazon Prime members seem to enjoy marginally faster delivery times when compared to Flipkart Plus members.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/04/04162022-IndiaEcommerce_Inline04-1600x1000.png\")
To understand more about consumer shopping behavour in India, we took out a cohort in our sample to observe any changes in spending patterns after the festive month-long October 2020 sales.
\n\n\n\nLooking at our data, the basic members of both platforms don’t seem to be too loyal to either of the two rivals. Amongst its basic users, Amazon exhibited a 35% retention rate in between the two October festive months 2021 vs 2020 whereas for Flipkart, our data reveals a 25% retention rate for the Walmart backed e-commerce platform.
\n\n\n\nContrast this to the premium members of both e-commerce companies. Amazon Prime and Flipkart Plus exhibited a 74% and 80% retention rate respectively. This goes to show that premium services of the two rivals definitely helps to maintain a higher level of user retention. That said, these users are probably more behaviorally geared towards shopping online anyways. Don’t forget, India is still a market where most people prefer to shop offline when it comes to retail.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/04/04162022-IndiaEcommerce_Inline05-1600x1000.png\")
Supermart is Flipkart’s e-grocery business that offers next day delivery. They work with Ninjacart as a supply chain partner. Recently they just halved their 90-minute delivery system to 45 minutes. The development coincides at a time when other quick commerce firms like Blinkit, Zepto, Swiggy’s Instamart and RIL-backed Dunzo are jostling to deliver a range of products within the 15-20 minute timeframe. Read more here.
\n\n\n\nSo just how many items does the average Flipkart user checkout in his basket? Taking a look at our e-receipt data panel, Flipkart basic and plus members averaged a mean of 10 items per order. Only Flipkart Plus members tend to order more than 27+ items per basket. Interested to see how much is the average basket order for Flipkart members? Contact us and we will get back to you.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/04/04162022-IndiaEcommerce_Inline06-1600x1000.png\")
Without getting into too much details of the quick commerce sector, according to Bernstein Research, India is leading other global markets when it comes to quick commerce adoption. Quick commerce penetration as a percentage of online grocery is 13% in the country, while China and Europe are at 7% and 3% respectively.
\n\n\n\nSo just for some fun, what are the most popular items that Indian households order on Flipkart? Diving into our e-receipt panel on an item-level, we are able to see that the Pillsbury chakki fresh atta is the most popular item ordered (perhaps Indian households do make a lot of chapati?). Runners up are Parry’s white label sugar, Happilo 100% natural premium Californian almonds, Maggi Masala instant noodles, and then Ananda Ghee used for cooking.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/04/04162022-IndiaEcommerce_Inline07-1600x1000.png\")
For those interested in a generic overview of the Indian e-commerce market size, please read on. According to GlobalData’s estimate, India’s e-commerce market doubled between 2017 and 2020 as more consumers are now moving online in line with increasing internet adoption.
\n\n\n\nWith a population of 1.37 billion, India is one of the most inhabited places in the world, second only to China. Yet, relative to its population, internet penetration is not that high, coming in at roughly 45% of the total population.
\n\n\n\nThus, when you talk about retail sales in India, the majority of sales is still happening offline due to the low internet penetration rate and the general inclination of the Indian people to shop offline. That said, the e-commerce industry is still massive thanks to the overall population size.
\n\n\n\nAccording to India Brand Equity Foundation (‘IBEF’), a Trust established by the Department of Commerce, Ministry of Commerce and Industry, Government of India, India’s e-commerce market is expected to reach US$ 111 billion by 2024 and US$ 200 billion by 2026.
\n\n\n\nAs for turnover, IBEF reports that India’s e-commerce turnover amounted to $50 billion in 2020, positioning India as the eighth-largest market for e-commerce, trailing France and a position ahead of Canada. With an online shopper base of 140 million, India ranks 3rd after the US and China.
\n\n\n\nIn terms of total online Gross Merchandise Value (‘GMV’), according to management consultancy RedSeer, $55 billion in sales were clocked in in 2021, up from $38billion in 2020. Redseer forecasts that the GMV of the e-retail market is likely to increase to $350 billion in 2030.
\n\n\n\nMuch of the growth underpinning the e-commerce sector is an increase in internet and smartphone penetration driven by the “Digital India” programme. As of July 2021, the number of internet connections in India significantly increased to 784.59 million. Out of the total internet connections, ~61% were in urban areas, of which 97% were wireless. According to a report published by IAMAI and Kantar Research, India internet users are expected to reach 900 million by 2025 from ~622 million internet users in 2020, increasing at a CAGR of 45% until 2025.
\n\n\n\nInterested in the digital sector for India? See our recent article on PhonePe vs Paytm which touches upon this.
\n\n\n\nMichelle Tang is a Managing Director at Measurable AI who specialises in digital marketing and strategic partnerships with a passion for data analytics and consumer intelligence. She enjoys research and storytelling with insights derived from Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at michelle@measurable.ai.
\n\n\n\nMeasurable AI is the leading granular e-receipt provider for consumer intelligence in the emerging markets with a core focus in South East Asia, Middle East, India and Latin America.
\n
Before the impending IPO of GoTo Group, it’s about time to update the latest market share of Southeast Asia’s biggest super apps: Gojek and Grab.
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets, delivering both aggregated and raw data. In our previous article, we reviewed the market share of Gojek and Grab’s ride-hailing business across the year of 2021. Our results indicate a close score between the two rivals, with Grab leading by a slight advantage in total revenues in Indonesia last year.
\n\n\n\nLet’s take a look at the latest market share changes in 1Q22 in ride-hailing revenues. For this market share analysis, we will be mainly looking at the ride-hailing market share in Indonesia, Gojek’s biggest market, and Singapore, home to Grab. Thanks to the granularity of Measurable AI’s e-receipts data, we can dive deeper into the company’s mobility product offering.
\n\n\n\n![\"Measurable](\"https://blog.measurable.ai/wp-content/uploads/2022/04/04112022-GojekVsGrab_Inline01-1600x1000.png\")
In Indonesia, Gojek’s four-wheel rides constitute around 25% of the market share, which is similar to what we saw in the last quarter of 2021. Grab’s four-wheel share dropped slightly from 35% to around 32%. In terms of two-wheel rides, in Q1 the two apps share the market evenly. In terms of average user spend, on four-wheel rides Gojek users on average spend a bit more than Grab’s users.
\n\n\n\n![\"Measurable](\"https://blog.measurable.ai/wp-content/uploads/2022/04/04112022-GojekVsGrab_Inline02-1600x1000.png\")
In Singapore, in terms of order volume, Grab shares half of the ride-hailing market share while Gojek ranks as the runner-up with around 17% of the market share. Among other players, Singapore’s local taxi tycoon CDGTaxi owns around 15% of the market, followed by local ride-hailing apps Tada (10%), and Ryde (6%).
\n\n\n\n![\"Measurable](\"https://blog.measurable.ai/wp-content/uploads/2022/04/04112022-GojekVsGrab_Inline03-1-1600x1000.png\")
Although Grab and Gojek started as ride-hailing services, they both have grown into super apps that own multiple sectors and services of themselves. For Grab, food delivery now takes a much bigger percentage of its total GMV. Based on Measurable AI’s e-receipts data, in 2022 Q1, food delivery now makes up around 74.5% of Grab’s Mobility + Delivery services (Grab’s fintech business is not included). For GoTo group, who contributes around 2% to Indonesia’s GDP, e-commerce now takes up over 60% of its total addressable market (source).
\n\n\n\nIn the past two years, both companies benefited from the drastically growing demand of online food delivery amid the pandemic. As the world shifts from a pandemic to an endemic, two questions arise: (1) will the endemic behavior ensue?, and (2) will Gojek and Grab witness a rebound of their other main business, ride-hailing?
\n\n\n\nGojek and Grab still remain head-to head competitors in Southeast Asia despite their different focus of market and sector. We’ll continue monitor the competition of these two super apps along the way. Talk to us for for more interesting alternative datasets on ride-hailing markets. Schedule a demo at business@measurable.ai
\n\n\n\nRead previous articles on Grab and Gojek:
\n\n\n\nRide-hailing Race in Indonesia: Gojek versus Grab
\n\n\n\nA Grab Explainer: FoodDelivery, Rideshare, and More
\n\n\n\nRide or Die: Gojek versus Grab in Indonesia
\n\n\n\nABOUT US
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at charlie@measurable.ai
\n\n\n\nMeasurable AI is a leading alternative data provider for food-delivery, ride-hailing, and e-commerce in emerging markets. Covering Southeast Asia, Latin America, India, Middle East and more.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
What do you think of when you hear the word “Alternative Data”? A neat definition would be non-traditional data sources that can provide indications as to a firm’s future performance other than conventional sources such as corporate filings and analyst predictions. Or to borrow from the Alternative Management Association (AIMA, 2020), “alternative data comes from unconventional information, mostly in an unstructured form, is not broadly distributed within the industry and is being used to deliver both investment alpha and operational alpha”.
\n\n\n\nThink credit card transaction data, mobile device data, web traffic, ESG data, media sentiment, weather data, social media sentiment, IoT sensor data. The list goes on and is constantly expanding with the advances in technology. What is important to realize is that investors are increasingly turning towards using alternative data to gain an edge in generating alpha while corporations are leveraging alternative data to better assist in their strategic decision making.
\n\n\n\nThe global alternative data market is expected to grow from $2.21 billion in 2021 to $3.23 billion in 2022 at a compound annual growth rate (CAGR) of 46.5%. The market is expected to reach $13.91 billion in 2026 at a CAGR of 44% (The Business Research Company). According to the AIMA, the number of alternative data providers today is 20 times larger than it was 30 years ago. They estimate that by 2024, there will be more than 5,000 different alternative datasets.1
\n\n\n\nThis skyrocketing growth trend can be largely explained by the growing interest in stock market trading and the quest to access more accurate and speedier insights to outperform the market. This is particularly the case for hedge funds and investment banks who are the top users of alternative data. An AIMA and Bank of Merrill Lynch study reveals that roughly half of all investment firms now embrace alternative data. This number will only continue to grow as more firms continue to seek an innovative and competitive edge by accessing an informational edge over the rest of the market.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/03/data_v3-01-1600x1000.png\")
In 2020, more than 50% of hedge fund managers classified as alternative data market leaders used seven or more alternative data sets globally, while only 8% of the rest of the market used at least seven alternative data sets. Most hedge funds utilized two or more alternative datasets with 85% of market leaders and 77% of the rest of the market doing this.2
\n\n\n\nAccording to a study conducted by Greenwich Associates, nearly 30% of quantitative funds attribute at least 20% of their alpha to alternative data. Furthermore, 42% of all asset managers reported that the alpha edge they achieved by using alternative data sources lasted for at least four years.
\n\n\n\nThis finding is supplemented by AIMA who revealed that 69% of hedge funds classified as market leaders in alternative data utilize alternative data sources to improve investment decisions and to generate alpha. Scouting for unique data sources and investment strategies that other companies do not have access is essential for gaining a competitive advantage. On the other hand, the emergence of a pandemic has added to the complexity of this issue and necessitated the need for timely, reliable, and quality data. To a lesser extent, hedge funds may also use alternative data to help improve risk management and compliance models.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/03/data_v3-02-1600x1000.png\")
Some of the most popular categories of alternative data utilized by buy side investment firms and corporations are listed below.
\n\n\n\n“From companies’ internal analytics to satellite photos, scraped website data to tracking consumers’ locations, hedge funds and institutional investors are always looking for creative ways to get the edge in investments.”
\n\n\n\n~ CNBC reporter Eric Chemi
\n\n\n\nWeb crawling is when readily available information online is downloaded. Crawling is used for data extraction from search engines and e-commerce websites and afterward, unnecessary information is filtered out and only the required details are scraped. Web-crawled data can be obtained in different ways, such as crawling through emails, news, images, and social media.
\n\n\n\nAbout 2.5 quintillion bytes of data is generated everyday on the web. Tapping into this information pool equips hedge fund managers with valuable insights they need to make smarter and more lucrative investment decisions.
\n\n\n\nMeanwhile, for organizations, data scraping has become the ultimate tool for business development. According to Mckinsey Global Institute, data-driven organizations are 23 times more likely to acquire customers, 6 times more likely to retain customers, and 19 times more likely to be profitable. Leveraging this data enables enterprises to make more informed decisions and improve customer experience. It is proven that data-driven businesses outperform their peers with the insights they derive. By tracking consumer interaction and gaining an in-depth understanding of their behaviors, companies can improve their customer experience. This, in turn, will prolong the lifetime value of the client and thereby increase brand loyalty.
\n\n\n\nYou may be wondering how hedge funds make money off trades by web scraping. Consider twitter. Investors often use web scraping to quickly analyze millions of tweets to determine which stocks to buy and sell.
\n\n\n\nIn 2015, a 21-word tweet from Hilary Clinton ripping a drug company’s pricing policy sparked a sharp sell-off for the group. The iShares Nasdaq Biotechnology ETF (IBB) dropped more than 4%, closing with a 4.5% loss and only a small subset of its components trading in positive territory. Read more here.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/03/data_v3-03-1600x1000.png\")
The same thing happened when Hilary criticized private pensions in a single tweet – also in 2015 – which resulted in the stocks of two top corrections companies dropping by 6% and 4% respectively.
\n\n\n\nIt is therefore not surprising to imagine that investment firms are willing to invest a considerable size of money to access this type of data. According to Business Insider, hedge funds spend roughly US$2 billion on web scraping software to gain an edge in the markets.
\n\n\n\nAny company with an online presence will have web traffic data. Web traffic data include traffic metrics such as number of unique visitors to a website to number of visits to the website. This allows users of the data to understand if a particular website is growing and gaining traction, or if it is struggling to attract new users. More on why web traffic data is an ideal alternative dataset to subscribe to can be read in this article by Similarweb.
\n\n\n\nIn addition to web traffic data, there can be engagement metrics such as time spent on a particular website or page, and how many sessions did each visitor initiate. Such metrics enable end users to evaluate the stickiness of the user base and perhaps change the UI.UX or copy of the website if the bounce rate is high.
\n\n\n\nBeyond web traffic data is app data which often complements a website’s offering. Metrics include both quantitative and qualitative data, from the number of downloads an app has, to how many times per day a user opens it on average. Popular use cases for app data could be for gaming, food delivery and streaming services. Combining both web and app data will paint a full digital picture of any business.
\n\n\n\nA social media sentiment analysis tells you how people feel about your brand online. Given that emotions are the number one factor that drives purchasing decisions, with so many consumers sharing their thoughts and feelings on social media, it pays for brands to have a pulse on how their products make people feel. Rather than a simple count of mentions or comments, sentiment analysis considers emotions and opinions. It involves collecting and analyzing information in the posts people share about the brand on social media.
\n\n\n\nProduct reviews can help firms to decide whether to buy, sell or hold a stock. For example, Thinknum’s media outlet, the Business of Business, noted earlier this year that, before Peloton’s stock tumbled in the wake of a treadmill recall, the number of negative online reviews that included words such as “terrible”, “awful” etc. had shot up threefold – a clear signal to sell.
\n\n\n\nWith the increasing worldwide adoption of smartphones and internet of things, geolocation data has enjoyed considerable growth over the years which will only increase as time goes on. The global low-power geolocation market is projected to grow from $24.88 billion in 2020 to $64.80 billion by 2025, at a CAGR of 21.10% from 2020 to 2025.
\n\n\n\nGeolocation is a technology that uses data acquired from an internet-connected device (e.g., smartphone, computer, fitness tracker) to identify an individual’s geographical location, both longitudinal and latitudinal. Geolocation data can be collected by GPS, wifi-networks, cell towers and bluetooth.
\n\n\n\nWith geolocation data, one can clearly identify an individual’s physical address, including their exact longitude and latitude at a point in time. Companies can use geolocation data to track an individual’s movements to determine patterns and behaviors. Location data for an individual and the time he/she spent at each location can be cross-referenced, thereby revealing where an individual lives, where they work, their daily schedules, which stores they frequent, their regional preferences, and even vacation times. Scary right?
\n\n\n\nGiven how geolocation information can reveal such intimate personal details about individuals, it is no surprise that the secondary location market is becoming a lucrative business, with the industry expected to have reached $350 million in 2020. For example, companies can purchase this anonymized location data or individual profiles for business purposes, such as for targeted advertising.
\n\n\n\nCredit card data is currently the highest grossing category in the alternative data space and continues to grow in popularity. This data is considered highly accurate when the transaction panel is large (over 3 million) and covers a consistent user sample.
\n\n\n\nCredit card forecasts are positively related to actual revenue growth and given credit card data is provided monthly with a six day lag, it helps forecast earnings growth more quickly than traditional methods. GSAM notes that companies with greater credit card sales growth tend to exhibit stronger YoY sales growth in the following year. As such, it is not surprising to see how credit card data is fundamental to financial analysis for buy side firms and investment banks. Understanding how consumers spend their money is one of the strongest indicators of economic performance.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/03/data_v3-04-1600x1000.png\")
Emails contain a tonne of transactional information that can be extracted to derive useful insights. The data is accurate and is often used for retail revenue tracking and to understand customer purchasing behavior better. However, panels are typically smaller than credit/debit card panels and can be subject to biases depending on the nature of the email receipt collection (often via an opt-in email or rewards app).
\n\n\n\nAt Measurable AI, we specialize in granular email datasets and now own the biggest email receipt dataset for the emerging markets.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/03/data_v3-08-1600x1000.png\")
Our data has been backtested to ensure its accuracy with actual reported revenues. Moreover, unlike credit card data, another added advantage of email data is its availability in real-time and its level of granularity offered (including SKU intel, geolocation data, items ordered, discounts applied, etc.).
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/03/data_v3-05-1600x1000.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/03/data_v3-09-1600x1000.png\")
While transactional email receipt data often exhibits a strong correlation to sales figures, non-transactional email activity data is also valuable to better guide brands with data insights to improve and better target their marketing campaigns and monitor interest trends amongst their users.
\n\n\n\n\n\n\n\nAlternative data can either come in aggregated form or as a straight data feed through APIs.
\n\n\n\nData aggregation is a process where raw data is gathered and expressed in the form of a summary for statistical analysis. Data aggregation may be done manually or through specialized software called automated data aggregation. After the data is aggregated and written to view or report, you can analyze the aggregated data to gain useful insights about particular resources or resource groups. Aggregated data is structured and less expensive plus easier to work with. On the flip side, they have less alpha potential. Aggregated datasets may also suffer from selection bias, which means they aren’t truly representative.
\n\n\n\nRaw data feed, on the other hand, is considered much more valuable and allows for more ‘data digging’. Raw data is a term for data collected from a source. It has not been subjected to processing or any other manipulation, and often is referred to as primary data.
\n\n\n\n“Alternative data is the deepest, least utilized alpha source in the world today.”
\n\n\n\n~ Quandl, NASDAQ platform for alternative data
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/03/data_v3-06-1600x1000.png\")
Given the informational edge that alternative datasets can offer, why aren’t more hedge funds utilizing alternative datasets? The short answer would be challenges. An AIMA study reveals that lack of infrastructure posits the biggest challenge when it comes to using alternative datasets. Amongst the market leaders in the hedge fund industry, backtesting alternative datasets represents the biggest headwind, followed by the ability to source and choose the right quality dataset.
\n\n\n\nWith the universe of alternative data sets expanding so rapidly, many of them are not going back in time far enough for models to reveal patterns or capture signals. Moreover, significant resources, time and talent is needed to backtest each dataset.
\n\n\n\nWhile a decade ago there was a lack of alternative datasets to select from, the advances in technology over the years has flipped the problem. There are more than 5,000 datasets being presented to buy side firms these days. You can imagine that having the resources and processes to sift through these datasets and pick the right one is indeed a formidable task.
\n\n\n\nEven once the correct dataset(s) have been identified, there are more concerns for hedge funds to take into account. Data governance matters, the breath of data coverage, the robustness of its source, permanency risk (how far into the future can they expect to be using that data set) and how malleable that data is (i.e. whether it can be mapped with fixed references, such as SEDOLs or CUSIPs). These are all valid questions hedge funds face when presented with new datasets that could be useful for investment research.
\n\n\n\n“Data scientists [are] becoming the new quantitative hedge funds”
\n\n\n\n~ Greenwich Associates
\n\n\n\nWhen selecting and digesting the alternative datasets, another hurdle arises: finding the right talent to do so. To effectively extract value from the alternative datasets, there needs to be the right people and technology in place such as natural language processing, machine learning (ML) and broader artificial intelligence (AI) platforms that can be used to transform alternative data into practical insights.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/03/data_v3-07-1600x1000.png\")
For now, responsibility of selecting alternative datasets falls largely on the investment team. Only 15% of hedge funds have a dedicated Chief Data Officer to provide oversight for alternative data. That said, the industry is changing and there is a trend towards hiring more data scientists and data engineers.
\n\n\n\nWhen working with hedge funds at Measurable AI, we have learnt that for hedge funds to source, integrate and extract insights from our alternative dataset, all their different teams within their business need to work together in sync – i.e. investment teams, data scientists, risk professionals and compliance and legal teams.
\n\n\n\nAs remarked by Rayne Gaisford, Head of Data Strategy and Equity Research at Jeffries, the financial services industry is just starting to scratch the surface when it comes to leveraging alternative data.3 Many firms are still adjusting to using alternative data as their primary source of information instead of as a supplemental afterthought.
\n\n\n\nWe believe the industry still has a long way to go before it reaches maturity. Due to the breadth and uniqueness of alternative data sets, there are a multitude of ways different alternative datasets can be incorporated into the due diligence and investment process by hedge funds and private equity funds to better aid their quest for generating alpha. Corporations are also increasingly adopting new datasets to strengthen their business intelligence, to better understand their client behavioral patterns, streamline their operational efficiencies and improve their marketing campaigns to generate more sales.
\n\n\n\nAs such, there remains enormous potential for alternative data to become more mainstream as firms widen their budget to factor in these new sources of data. Until now, we remain steadfastly focused in growing our e-receipt panel across the emerging markets.
\n\n\n\n***
\n\n\n\nMichelle Tang is a digital growth marketer and manages strategic partnerships for Measurable AI with a passion for data analytics. She enjoys storytelling with insights and trends derived from Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at michelle@measurable.ai.
\n\n\n\nMeasurable AI provides actionable consumer insights based on billions of alternative data for emerging markets.
\n\n\n\n*The content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
Digital payments in India are growing at a scorching pace. According to the Economist Intelligence Unit, when it comes to digital payments, India has outpaced the rest of the world, registering the highest number of real-time payment transactions. CLSA Research forecasts the digital payment market in India to grow three-fold to touch US$1 trillion by financial year 2026 compared to $300 billion in 2021.
\n\n\n\nIndia’s large number of real-time transactions can largely be explained by the prevalence of low-value payments in the Indian economy. Similar trends can be witnessed in developing countries.
\n\n\n\nWhen looking into the digital payment scene in India, one of the most notable names is PayTM. In fact, PayTM has landed the largest initial public offering in India to date, raising US$2.5 billion in its recent November IPO. With 337 million registered consumers and 22 million merchants, PayTM is the biggest payment platform in one of the world’s fastest growing economies. Today Paytm boasts 1.2 billion monthly transactions (as of March 1, 2021) with over 150 million monthly active users.
\n\n\n\nA Brief Timeline of PayTM
\n\n\n\nTo provide more context of the key events underpinning PayTM’s growth story, a simplified timeline of the key milestones for PayTM is illustrated below.
\n\n\n\n![\"PayTM](\"https://blog.measurable.ai/wp-content/uploads/2022/02/01202022-PaytmVsPhonePe_Inline09-1600x1000.png\")
At Measurable AI, we are the leading provider of transactional email receipt data for emerging markets. We have invested heavily into growing our Indian panel lately with extensive coverage of the digital payment and e-commerce scene in this populous nation. In this article, we will be taking a dive into the insights we discovered for PayTM on the back of our dataset.
\n\n\n\nPayTM Total Spending
\n\n\n\nFirst, taking a look at the total spending, PayTM experienced a rapid QoQ in total spending from 2Q22 to 3Q22. This could be partially explained by the rising adoption of contactless payment methods such as UPI. As evidenced by the graph below, UPI usage increased significantly from 2Q20 for PayTM.
\n\n\n\n![\"PayTM](\"https://blog.measurable.ai/wp-content/uploads/2022/02/01202022-PaytmVsPhonePe_Inline04-1600x1000.png\")
So what is UPI? UPI stands for Unified Payment Interface in India which has exploded in recent years. It is an instant real-time payment system developed by the National Payments Corporation of India (NPCI) and was first introduced to India in 2016.
\n\n\n\nSome of you may be wondering, what is the difference between UPI transactions vs. digital wallets? In a nutshell, UPI transactions are direct bank to bank transfers while digital wallets act like intermediaries between accounts. UPI transactions can take place between any two banks whereas digital wallet transactions can only occur between two accounts in the same digital wallet app. Read this to understand more differences between the two.
\n\n\n\nThe graph below shows UPI payment growth skyrocketing for PayTM since December 2020. This can largely be explained by the union government’s step up and campaigns towards digital transactions as well as secure and inclusive payment methods. The trend is also indicative of the heightened trust in digital payments amongst Indian consumers who are now increasingly turning towards UPI payments for more frequent and higher value payments. Also rallying consistently in India are net banking or internet browser based transactions.
\n\n\n\nToday, UPI has more than 297 participating banks and over 4.6 billion monthly transactions.1 India’s consumers are quick to adopt this method of payment given its ease of use, speed and secure nature.
\n\n\n\n![\"UPI](\"https://blog.measurable.ai/wp-content/uploads/2022/02/01202022-PaytmVsPhonePe_Inline05_revised-1600x1000.png\")
![\"PayTM](\"https://blog.measurable.ai/wp-content/uploads/2022/02/01202022-PaytmVsPhonePe_Inline06_revised-1600x1000.png\")
As for the most used credit cards linked to PayTM, State Bank of India (‘SBI’) took the lead, followed shortly by HDFC Bank, ICICI Bank and RBL Bank.
\n\n\n\n![\"Credit](\"https://blog.measurable.ai/wp-content/uploads/2022/02/01202022-PaytmVsPhonePe_Inline07-1600x1000.png\")
Within the mobile/tv bill payment category, JIO, Airtel, and Vodafone were the market leading providers for PayTM’s user base.
\n\n\n\n![\"PayTM](\"https://blog.measurable.ai/wp-content/uploads/2022/02/01202022-PaytmVsPhonePe_Inline08-1600x1000.png\")
Moving on, a close competitor of PayTM worth mentioning is Phone PE, another large digital payment platform in India leading on all key metrics which includes value and volume of transactions, registered users as well as merchant coverage.
\n\n\n\nPhonePe Transaction Overview
\n\n\n\nLooking at Measurable AI’s PhonePe data, after the covid April 2021 lockdown, people in India were opting to use digital online wallets more to send and receive money.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/02/01202022-PaytmVsPhonePe_Inline01-1600x1000.png\")
Like PayTM, the State Bank of India remains the most popular bank when it comes to transacting for PhonePe users. This is followed by HDFC bank and then Canara Bank.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/02/01202022-PaytmVsPhonePe_Inline02-1600x1000.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/02/01202022-PaytmVsPhonePe_Inline03_revised-1600x1000.png\")
As the cost of data and internet in India falls, its population of 1.4 billion is coming online at a rapid pace. This bodes well not only for digital mobile payment companies like PayTM and PhonePe, but also for India’s e-commerce companies such as Flipkart, Amazon, and Blinkit (formerly Grofers) – companies we also have extensive datasets for.
\n\n\n\nIt is not surprising to see huge amounts of capital flooding into the digital payment sector in India. According to research firm Tracxn, venture capital and private equity firms have invested $6.4 billion so far this year in Indian fintech companies. Investors are drawn to the migration of this massive population to apps or mobile QR codes for many purchases, a drastic change in an economy that’s traditionally been dominated by cash. With smartphone users forecasting to hit 800 million in the next five years in India, this trend will only continue on an upward trajectory, giving the key players a significant boost to their businesses.
\n\n\n\nInterested in our Indian online payments dataset or granular data for digital Indian companies? Contact us at business@measurable.ai if you would like to learn more about our data offering.
\n\n\n\n\n\n\n\nRead our previous article on Zomato vs Swiggy.
\n\n\n\nAbout Us
\n\n\n\nMichelle Tang is a digital marketer and partnerships manager for Measurable AI with a passion for data analytics. She enjoys storytelling with insights and trends derived from Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at michelle@measurable.ai
\n\n\n\nMeasurable AI provides actionable consumer insights based on billions of alternative data for emerging markets.
\n\n\n\n*The content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
In South East Asia, Gojek and Grab remain to be the two biggest ride-hailing mobility players, just like Uber and Lyft in the US. A lot has happened to both companies in Southeast Asia in the past year: Gojek announced its merger with Tokopedia and became GoTo Group; Grab app just finished its bell-ringing ceremony at Nasdaq with the biggest SPAC deal (NASDAQ: GRAB).
\n\n\n\nAt Measurable AI, we build and own a unique consumer panel and are the largest transactional email receipt data provider for the emerging markets, delivering both aggregated and raw data. Let’s take a look at the market share changes across 2021 – mid 2022 in the ride-hailing industry between these two industry behemoths in Indonesia with our granular e-receipts data.
\n\n\n\nThe overall marketshare of Indonesia ride-haling has been stable with Grab leading with a small advantage. Based on Measurable AI’s e-receipts panel, we track the total spending on Mobility (Bike, Car included) for both companies.
\n\n\n\n\n\n\n\n[2023 Updated] Inside the Duopoly: Gojek vs Grab on Indonesia’s Ride-Hailing Market
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/09/09062022-2022IndonesiaGrabVsGojek_Inline01-1-1600x1000.png\")
*In the above chart, we used the metrics “totalprice” as a proxy of companies’ revenues. Note that “totalprice” is the number before any promotion or discount applied to the order, which are closest to the GMV metrics for the two companies.
\n\n\n\nGojek seems to hold steady, owning around a 45% market share in the ride-hailing in Indonesia last year, while Grab’s shares fluctuate around the 55% mark. In May 2021, Grab managed to own around 60% of the market for a short while.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2022/01/01182022-GrabGojek2021_Inline02-1600x1000.png\")
Thanks to the granularity of Measurable AI’s e-receipts data, we can dive deeper into the company’s mobility product offering. When it comes to four-wheel rides: Grab’s Grab Car owns a bigger market share in Indonesia than its competitor Go Car. In January 2021, Grab Car took around 39% of the total market, while Go car around 24%. On two-wheel rides, both Grab and Gojek own a similar market share at around 20%. Inside Gojek, car and ride contribute closer percentage of revenues for the company.
\n\n\n\nRide-hailing was one of the worst hard-hit sectors at the beginning of the covid breakouts. Nonetheless, the sector is slowly picking up along with the rising vaccination rates and the gradual reopening of the economy all over the world. We’ll continue monitor the competition of the ride-hailing giants in different markets.
\n\n\n\nTalk to us for for more interesting alternative datasets on ride-hailing markets.
\n\n\n\nRead previous articles on Grab and Gojek:
\n\n\n\nA Grab Explainer: FoodDelivery, Rideshare, and More
\n\n\n\nRide or Die: Gojek versus Grab in Indonesia
\n\n\n\n\n\n\n\nABOUT US
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data.
\n\n\n\nYou can reach her at charlie@measurable.ai
\n\n\n\nMeasurable AI provides actionable consumer insights based on billions of alternative data for emerging markets.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice. Prior written consent is needed for any form of republication, modification, repost or distribution of the contents.
\n
As the food delivery industry continues to grow with record high order volumes in different markets every day, it’s like a roller coaster that only goes up. On this roller coaster, the ultimate goal for all the food delivery companies right now is to compete for market share. Asia has grown to be a major battlefield for the biggest food tech companies in the world.
\n\n\n\nAs 2021 draws to an end, Measurable AI presents the third part of this food delivery industry research in Asia, covering specifically market share and average order value. (Read part I, part II)
\n\n\n\nBased on Measurable AI‘s very own e-receipts data panel, Foodpanda ranks as the major competitor for the other food delivery companies when competing for market share in the following markets: Hong Kong, Taiwan, Malaysia, Singapore. In Hong Kong, Taiwan, and Malaysia, the food delivery market is a duopoly with Foodpanda competing against only one player.
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2021/12/12222021-AsiaFoodDelivery_Inline01-1-1600x1000.png\")
In Hong Kong, Foodpanda has been leading the game with a slight advantage throughout the year of 2021. With UberEats announcing the quit just last month, the competition between Foodpanda and Deliveroo will only intensify in the following year. From our panel, when UberEats exited Hong Kong, it owned around 3% of the market share. Whoever can take this over in the next year will gain a stronger foothold in the Hong Kong food delivery market.
Our latest score from November is 51% (Foodpanda) over 46% (Deliveroo) in terms of total revenues in USD.
![\"Taiwan](\"https://blog.measurable.ai/wp-content/uploads/2021/12/12222021-AsiaFoodDelivery_Inline02-1-1600x1000.png\")
In Taiwan, Foodpanda is competing directly against UberEats. UberEats owns a bigger share of the revenue pie; in the past two months, UberEats has maintained a 51% market share over Foodpanda’s 49%. Close game? At the moment yes, but it might be totally different in the next year since Shopee from Singapore and Coupang from Korea have decided to enter the food war in Taiwan as well. Check our former research on Taiwan’s Food Delivery Market to learn more.
\n\n\n\n![\"Singapore](\"https://blog.measurable.ai/wp-content/uploads/2021/12/12222021-AsiaFoodDelivery_Inline04-1-1600x1000.png\")
Grab is leading in Singapore’s food delivery market, averaging at around 53.5% market share across the year 2021. Our data reveals that in the most recent quarter Deliveroo has picked up around 11% of the market share, a fast growth considering it only owned 5% of the market at the beginning of this year. Runner-up to Grab is Foodpanda, occupying around 38% of the Singapore market. Foodpanda has been able to maintain this share across the year.
\n\n\n\n![\"Malaysia](\"https://blog.measurable.ai/wp-content/uploads/2021/12/12222021-AsiaFoodDelivery_Inline03-1-1600x1000.png\")
In Malaysia, Foodpanda leads the game with over 60% of the market share. Grab managed to grab around 38% of the market share in the latest quarter this year.
\n\n\n\nIn terms of average order value, Grab’s users contribute more revenues per order than those of Foodpanda in Malaysia. According to Measurable AI’s granular e-receipts data, the AOV (Average Order Value) of Grab’s users in Malaysia maintained over 8 USD throughout the year 2021.
\n\n\n\n*AOV is calculated based on the total charged value of each order.
\n\n\n\n![\"Malaysia](\"https://blog.measurable.ai/wp-content/uploads/2021/12/12222021-AsiaFoodDelivery_Inline07-1-1600x1000.png\")
In Singapore, Grab users’ AOV hovered around 18 USD, but slightly smaller than that of Deliveroo users. According to our former Hong Kong food delivery report, Deliveroo users have always shown greater AOV.
\n\n\n\n*AOV is calculated based on the total charged value of each order.
\n\n\n\n![\"Singapore](\"https://blog.measurable.ai/wp-content/uploads/2021/12/12222021-AsiaFoodDelivery_Inline08-1-1600x1000.png\")
As shown in the next two charts based on Measurable AI’s data, Deliveroo users in Hong Kong spend on average over 24 USD per order across the year. As for Foodpanda, its AOV has been the lowest in all four regions discussed in the research.
\n\n\n\n*AOV is calculated based on the total charged value of each order.
\n\n\n\n![\"Hong](\"https://blog.measurable.ai/wp-content/uploads/2021/12/12222021-AsiaFoodDelivery_Inline05-1-1600x1000.png\")
![\"Taiwan](\"https://blog.measurable.ai/wp-content/uploads/2021/12/12222021-AsiaFoodDelivery_Inline06-1-1600x1000.png\")
That’s a wrap for the roller coaster series on the food delivery market in Asia. In the following research insights, we will continue to introduce more metrics and markets we track with Measurable AI’s granular e-receipts data to help our clients understand the food delivery market better.
\n\n\n\nInterested in finding out more about the food delivery sector? Talk to us for more detailed, transactional datasets on the food delivery industry in more markets.
\n\n\n\nSee you in the next year!
\n\n\n\nRead
\n\n\n\nThe Roller Coaster Goes On: Food-Delivery Companies in Asia (I)
\n\n\n\nThe Roller Coaster Goes On: Food-Delivery Companies in Asia (II)
\n\n\n\nABOUT US
\n\n\n\nMeasurable AI generates actionable consumer insights based on its unique e-receipts data panel for emerging markets.
\n\n\n\nCharlie Sheng is a serial entrepreneur and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai
\n\n\n\nThis Content is for informational purposes only, you should not construe any such information or other material as investment advice.
\n\n\n\n*Prior written consent is needed for any form of republication, modification, repost or distribution of the contents. Please contact business@measurable.ai
\n\n\n\n
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/12/11282021-Shein_Inline_07.png\")
The latest trend in the fashion industry is the rise of a handful of fast fashion brands targeted at Gen Z. Amongst these fast fashion companies, the one that has catapulted to cult status among young women across the globe is the Chinese retailer Shein, with a valuation of over $15 billion.
\n\n\n\nShein is one of the fastest – and most secretive – growing e-commerce companies in the world. Raking in close to $10 billion in 2020 (CB Insights), Shein has reportedly enjoyed eight consecutive years of over 100% revenue growth. Estimated to be one of the fastest-growing e-commerce outfits in the world, Shein has revolutionized the way fashion is produced. Operating on an on demand business model. Shein’s popularity lies in the fact that its garments are astonishingly cheap and it quickly reflects the latest fashion trends.
\n\n\n\n\n\n\n\nWith enough background knowledge about Shein, many of you may be wondering whether Shein’s revenues have been impacted during Covid-19. At Measurable AI (‘MAI’), we specialise in providing consumer insights based on our unique dataset of transactional email receipts distributed across 22 countries. Let’s dig deeper into our consumer data and explore our findings.
\n\n\n\n\n\n\n\nThe world map below illustrates Shein’s orders from our coverage of email transactional data across the 22 markets we cover.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/12/11282021-Shein_Inline_01.png\")
The pandemic has taken a harsh toll on several fashion brands and retailers. Neiman Marcus group, J.C. Penney, J. Crew, Brooks Brothers and more have filed for Chapter 11 bankruptcy protection, while others like Under Armour have seen significant decrease in revenues (read more here).
\n\n\n\nShein, however, as observed from Measurable AI’s transactional email receipt panel, actually saw its sales skyrocket from 2Q20 onwards, when Covid-19 became widespread and stay-at-home orders were enacted in mid-March.
\n\n\n\n\n\n\n\nAs illustrated by our graph below, across our four sample countries United States, United Kingdom, Mexico and Saudi Arabia, Shein enjoyed an increase in revenues from pre-covid days and seems to have sustained its momentum up until now.
\n\n\n\nAverage order value for consumers in the United States, United Kingdom, and Mexico seems to hover around the 60 USD mark (suspect this may be related to the free delivery minimum order value of 50 USD). Consumers in Saudi Arabia, however, seem to very much enjoy shopping at Shein with a greater number of items purchased in each order, and therefore, a higher order value hovering around the 100-150 USD mark.
\n\n\n\n\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/12/11282021-Shein_Inline_02.png\")
It is no surprise that digital storefronts are the new normal with many fashion brands pivoting fast to digital sales to stand a chance in remaining profitable. A Mckinsey consumer-sentiment survey conducted in April demonstrated a significant drop in consumers intention to purchase. The survey revealed declines in purchase intent of 70 to 80 percent in offline and 30 to 40 percent in online channels in Europe and North America, even in countries that have not been under full lockdown.
\n\n\n\nSimilarly, 74 percent of Chinese consumers said they have avoided shopping malls in the two weeks after stores reopened. It goes without saying that the days of picking clothes from the racks with your own hands are over and digital shopping is here to stay!
\n\n\n\n\n\n\n\nAs depicted in the map below, our e-receipt data panel revealed that consumers in emerging markets such as the Middle East, Africa and Latin America (which usually corresponds to lower income levels) tend to purchase more items per transaction from Shein.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/12/11282021-Shein_Inline_05.png\")
Saudi Arabia, in particular, outshines Shein’s main market, the United States. As illustrated below, you can see how the number of products bought per customer order in Saudi Arabia dwarfs that of the United States.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/12/11282021-Shein_Inline_06.png\")
Could the Shein online shopping spree from Saudi consumers be explained by the free shipping they receive from buying so much on each order? Our data seems to suggest so.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/12/11282021-Shein_Inline_04.png\")
For the past decade or two, British company ASOS had pretty much remained the gold standard for fast fashion amongst 20 something years olds.
\n\n\n\nGiven how fast Shein is growing, could it overtake ASOS as the world’s fastest growing fast fashion brand amongst teenagers?
\n\n\n\nComparing Shein to ASOS, the order value of ASOS is still higher by roughly 40 per cent. This could be explained partly by the higher cost for each item on ASOS and the lower delivery fee.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/12/11282021-Shein_Inline_03-2.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/12/11282021-Shein_Inline_08.png\")
Shein’s philosophy is a positive one: “Everyone can enjoy the beauty of fashion”. However, behind the public eye, just how ethical and sustainable is this e-commerce company touted to be the future of fast fashion? ’
\n\n\n\nTaking into account environmental impact, labor conditions and animal welfare, Shein doesn’t score highly on the ethics scale.
\n\n\n\nFrom hazardous chemicals to carbon emissions to microplastics, Shein is making zero effort to rectify this. Furthermore, Shein’s mass production of cheap clothing based on its ‘on-demand’ algorithm is perpetuating a throwaway fashion culture amongst younger generations.
\n\n\n\nNor is Shein making much effort in improving its laborers’ working situation. According to BBC News, Shein’s workers are clocking in excess of 75 hours a week. There is enormous pressure on staff to churn out items fast. These workers, mainly migrants, are paid per item of clothing which encourages them to work long hours. Rumor has it that it could be involved in unethical practises such as child labor. So far, there is no evidence that Sheing ensures payment of a living wage in its supply chain and its employee initiatives and support are reportedly absent. Read Shein’s responsibility pledge here.
\n\n\n\nDoes Shein care for animals? Debatable. But it looks like Shein is working to clean up its image. For those who use TikTok, if you open the app you would probably have been greeted with the advert that says “Shein Cares”. Lot of people are using the hashtag #Sheincares on their videos alongside a new range of animal filters. For those unaware, Shein Cares is a recent campaign by Shein to show precisely that it cares for the animals. The company has agreed to donate US$300,000 to meaningful animal welfare organizations in a bid to keep the world’s animals protected. To shop your support, you can also shop at Shein’s Wild Heart collection. Just don’t forget to sign up to our consumer app reward.me to effortlessly earn shopping rewards in the form of reward dollars or cryptocurrency which can be redeemed for gift vouchers.
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As the focus of this article is on Shein, we will be continuing our analysis of our transactional data for ASOS and other fashion brands in another article. In the meantime, for deeper data insights on Shein or ASOS – or on any fast fashion company in particular – please don’t hesitate to contact us at business@measurable.ai.
Note: Prior written consent is needed for any form of republication, modification, repost or distribution of the contents. Please contact press@measurable.ai
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Over the years, companies have increasingly relied on integrating alternative data sets to add real-world context to internal business decisions. Companies can more accurately identify their competitors and predict their market behavior. They can also extract deeper consumer insights to better understand their users’ shopping behavior and to see whether to develop their products further or expand their sales into new markets.
\n\n\n\n92% of data analytics professionals said their companies needed to increase the use of external data sources*.
Consider Foursquare, the New York firm which popularized the concept of real-time location-sharing and checking-in. Foursquare famously predicted that Chipotle same-store sales would fall 29 per cent after the Mexican chain was hit with E. coli outbreaks, based upon check-ins on their application. The actual decline ended up being a spot-on 30 percent. Given the high degree of accuracy, it is not surprising that Foursquare announced Foursquare Analytics, a foot traffic dashboard for brands and retailers in 2017.
\n\n\n\nAlternative data comes in a variety of sources and can be structured or unstructured. Web traffic or logistics data, social media data, satellite data, email and credit card data are just a few sources of alternative data used to supplement traditional data sources when drawing insights for predictive analytics.
\n\n\n\nAccording to Mckinsey, retailers exploiting data analytics at scale across their organizations could increase their operating margins by more than 60 percent.** In this instance, email transaction data is particularly useful as it exhibits a high correlation to actual sales, and is therefore accurate for tracking and predicting retail sales.
\n\n\n\nAlternative data often becomes the most useful when they are processed with data science techniques and data scientists need to determine which data have the potential to be useful. However, incorporating alternative data into business decision making is not without its challenges. Incomplete datasets, poor quality, limited volume, unverified data and a lack of historical data for back-testing are all headwinds faced by companies looking to leverage on alternative data to garner more insights.
\n\n\n\nMost companies already have plenty of customer data but don’t tie it together to create a richer picture of their consumers. The real value of alternative data only arises when it is combined with ‘traditional’ data and then coupled with scalable analytics prowess. As observed by McKinsey, the most fruitful insights comes from combining transaction data (such as purchase amounts over time), browsing data (including mobile), and customer service data (such as returns by region). Yet, up until recently, combining and coupling has been a complex and time-consuming process.
\n\n\n\nThat said, the improvement in artificial intelligence over the years provides the ideal opportunity for data analysts to gather essential information from several different sources and allows an integration with a cohesive application.
\n\n\n\nAs far as the credibility of the alternative dataset is concerned, email receipts are pretty much accurate in tracking and predicting retail revenues.
Measurable AI is the market leader when it comes to alternative data such as transactional email receipts for emerging markets across South East Asia, Middle East and Latin America. Email transaction data accurately tracks retail sales and companies with a data analytics team are exploiting this alternative data source to gain deeper insights into their user base and use it to predict purchase behaviour amongst different demographics.
\n\n\n\nTake food delivery companies for example, one of Measurable AI’s main client segments. From a business intelligence angle, food delivery companies are using transactional email data to better understand what products users are buying most, what hours are the most popular, and the average basket size. From email receipts, they can also gain insight as to how much of an impact does offering discounts or free delivery have on the frequency and volume of orders. From this, they can better predict the behaviour of their user base and also see what percentage of their user base also order from their competitors, along with new investment opportunities for expansion.
\n\n\n\nHaving such level of granularity in data provided in e-receipts can also help corporations make more informed decisions related to predictive discounting, inventory management and personalized campaigns.
\n\n\n\n![\"\"/](\"https://lh3.googleusercontent.com/wK6UVN_8Acn5_CyeWh1tXFAeftciGJTC4J2WDDklICk_y7FhZKmV6HFwgYPigeyMV0g5bwgJOkZdJAV2l9rnB5hSKoMt3WdZyOq7w5Ojq35CdammY24L5UGhkntOi7wfAIbume9F\")
“What we learn from the survey data vs. the consumer panel data are sometimes very different. Consumers may say they love something when asked; but in reality their purchasing behavior indicated by their transactional emails reveals that they actually don’t shop for that item a lot, or probably never. Recognizing this discrepancy we decided to rely on actual transactional email data. This is way more credible to understanding consumers spending patterns better: what they actually love buying, how much they spend, and who else are they buying from.”
Data Engineer, International E-Commerce Company
From the global pandemic to retail apocalypses to looming economic downturns, there are a plethora of factors that affect corporations and retailers alike. This is why simply guessing or hoping for the best is not a viable solution for smart corporate strategy and can result in costly mistakes. Instead, more data-driven corporates are choosing to leverage on alternative datasets and engage technologies like artificial intelligence to ensure that their business decisions are smartly backed by real data and are therefore more accurate.
\n\n\n\nMeasurable AI is the leader with the largest consumer panel for transactional email receipt data for emerging markets. We are here to help corporations make smarter business decisions on the back of our unique dataset. Contact us at business@measurable.ai for more information or to request a trial of our data.
\n\n\n\n\n\n\n\n*Forrester, “Digital is driving the next generation of data marketplaces,” December 2017. View in article.
\n\n\n\n** McKinsey and Company. Big Data, Analytics, and the Future of Marketing and Sales, March 2015.
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Taiwan, the birthplace of bubble milk tea, is one of the fastest growing food delivery markets in Asia. In Taiwan, people created cute nicknames for UberEats and Foodpanda (吳伯毅 and 傅胖達), which sounds just like two guys’ names in Chinese.
\n\n\n\nAfter Deliveroo quit the market in 2020, the “two guys” remain the biggest players in Taiwan and continue to own almost half of the market share respectively. Recognizing the huge potential in the Taiwan food delivery market, recently though E-commerce giants Shopee from Singapore and Coupang from Korea have decided to enter the game too.
\n\n\n\nAccording to Mesurable AI’s very own e-receipts transactional data panel, Taiwan’s food delivery market volume continues to grow over the past year. Even though Taiwan’s pandemic only started in May this year, the volume of total spending for both services in Taiwan reached its all time high since May, and has continued to grow afterwards.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/10/10012721-TaiwanFoodDelivery_Inline03.png\")
Taking a closer look at Measurable AI’s unique dataset, July is the month whereby the total spending of UberEats and Foodpanda in Taiwan reached its peak despite at that time the pandemic situation had already eased. After the peak, we witness a slowdown in growth but the volume still remains much higher than before the pandemic.
\n\n\n\nOur former report “The Roller Coaster in Food Delivery APAC” reveals that since 2019, UberEats had been leading the race in Taiwan’s food delivery market up until 2020, when the “two guys” started to encroach upon the market share.
\n\n\n\nAccording to the latest data from Measurable AI, in 2021 UberEats still retains the bigger market share in Taiwan. Our panel reveals that in the last 9 months, UberEats continues to lead with a slight advantage over Foodpanda.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/10/10012721-TaiwanFoodDelivery_Inline01.png\")
As to how UberEats and Foodpanda look to acquire and retain users, the two have adopted different strategies in Taiwan. With local superstars’ endorsement, UberEats launched UberPass which allows users to pay for a monthly fee to cover all delivery fees across the month. Foodpanda also introduced a similar service in other regions; however, its Panda Pro service is not available in Taiwan yet.
\n\n\n\nSo which user base spends more? Looking at Measurable AI’s granular e-receipts data points, it shows that UberEats users spend more on each order than those on Foodpanda. During the past pandemic period in Taiwan, UberEats users’ average spend was around USD 13 on each order, while Foodpanda users’ average order value hovered around USD 9.5.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/10/10012721-TaiwanFoodDelivery_Inline02.png\")
Last time we checked the user overlap between the two companies in Taiwan, around 33% of users will use both services in 2020, however, based on Measurable AI’s latest data panel, this number shrinks to around 29%. Users tend to rely on their favourite service now, and currently around 37.9% use Foodpanda only, while 33.2% only on UberEats.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/10/10012721-TaiwanFoodDelivery_Inline04.png\")
While UberEats and Foodpanda continues to compete with each other in Taiwan, new players are gearing up. Korean’s e-commerce giant Coupang already started its food and grocery delivery service in Taiwan’s Zhongshan district, promising delivery within 10 minutes. Will Taiwan be its pilot project for overseas expansion or a milestone in Asia?
\n\n\n\nFollow Measurable AI’s insights blog or subscribe to our newsletter to learn more about the food delivery market intelligence based on real-time transactional data.
\n\n\n\nPrevious articles we have authored unveiling insights on the food delivery markets in other regions:
\n\n\n\nZomato vs Swiggy – Who Leads the Food Delivery Race in India?
\n\n\n\nJapan’s Untapped Food Delivery Market is Already Crowded: Who’s Winning?
\n\n\n\nFood Delivery Market in Hong Kong: Deliveroo, Foodpanda, UberEats
\n\n\n\nInterested in finding out more about the food delivery sector? Talk to us for more detailed, transactional datasets on the food delivery industry in more markets.
\n\n\n\nABOUT US
\n\n\n\nMeasurable AI generates actionable consumer insights based on its unique e-receipts data panel for emerging markets.
\n\n\n\nCharlie Sheng is a serial entrepreneur and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai
\n\n\n\nThis Content is for informational purposes only, you should not construe any such information or other material as investment advice.
\n\n\n\nPrior written consent is needed for any form of republication, modification, repost or distribution of the contents. Please contact press@measurable.ai
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The rapid development of the on-demand food delivery industry has transformed dining all over the world. Even cultures where dining at home is more the norm, they have succumbed to the convenience of ordering online from food delivery apps now. This can be seen even in countries like Japan, which remains one of the largest food delivery markets in the world but yet it still remains grossly underpenetrated relative to the size of the population and the size of the economy.
\n\n\n\nThe competition among food tech giants is now taking place in Japan’s market, which was believed to be uneasy to crack for foreign companies. Foreign companies like DoorDash have just made their first foray into the Japanese market this year and we expect more to come.
\n\n\n\nLet’s take a look at our transactional email receipt data panel to see who is really winning the food delivery way in Japan? Introducing all the major players:
\n\n\n\nTeam Japan consists of local tech conglomerates: Demae-Can(Naver), Rakuten Delivery, and Menu (KDDI). The next team are those in the SoftBank Portfolio: success stories from US and China who also made it in other continents: UberEats, Doordash, Didi Food. Finally, we have Team Europe: Foodpanda and Wolt.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/09/10012021-JapanFoodDelivery_Inline_01.png\")
According to Measurable AI’s e-receipts data, UberEats and Demae-Can are the two biggest players in Japan’s food delivery market. In terms of total spending, UberEats grew from 57% of market share to 66% in Japan’s market and continued the momentum this year. As of August, UberEats retained over 60% market share in 2021.
\n\n\n\nThe runner up Demae-Can was originally founded during the dot.com bubble in 1999 and is probably the oldest player in this space. While its share has slightly shrunken since last year, it still remains large enough to compete as UberEat’s biggest rival in the Japanese market. Rakuten Delivery owns a much smaller share of the market (under 10% compared to its local competitor).
\n\n\n\nIn Measurable AI’s e-receipts data panel, Foodpanda orders started to register since October 2020. The volume of total spending continued to grow since its launch and has been squeezing Rakuten’s share in the game.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/09/10012021-JapanFoodDelivery_Inline_02.png\")
Interestingly enough, Demae-can owns a slightly higher AOV than UberEats at an average of USD 23.6, even though it charges zero delivery fee.
\n\n\n\nBoth Demae-Can and UberEats support a wide variety of payment methods in the app. Besides traditional credit cards, Demae-Can supports more local e-wallets including its own Line Pay, Amazon Pay and other carrier’s e-payment wallets. Payment services from local carriers are also on the list albeit with a smaller volume. Users of UberEats, however, rely heavily on credit card payments.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/09/10012021-JapanFoodDelivery_Inline_03.png\")
Other than the major players listed here, new local startups are joining the game. Local food tech company Chompy came late in the game recently, but aimed to surpass its foreign rival with free shipping and group orders. Notably, fast food chains’ very own delivery apps are still extremely popular in Japan despite the fact that the same food can be ordered from food delivery apps. We’ll continue monitoring the food delivery market in Japan in our future posts.
\n\n\n\nStay tuned!
\n\n\n\nInterested in finding out more about the food delivery sector? Talk to us for more detailed, transactional datasets on the food delivery industry in more markets.
\n\n\n\nABOUT US
\n\n\n\nMeasurable AI provides actionable consumer insights based on billions of e-receipts data for emerging markets.
\n\n\n\nCharlie Sheng is a serial entrepreneur and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai
\n\n\n\nThis Content is for informational purposes only, you should not construe any such information or other material as investment advice.
\n\n\n\nPrior written consent is needed for any form of republication, modification, repost or distribution of the contents. Please contact press@measurable.ai
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Ola, let’s talk about the food delivery market in Brazil. With Brazil covering almost half of the Latin America food delivery market, it is definitely the most important battlefield for on-demand food delivery companies.
\n\n\n\nAccording to Measurable AI’s e-receipts data panel in Brazil: iFood, Rappi and UberEats are currently the three major players in the Brazil food delivery market. As of Q2 2021, iFood leads the market with over 80% market share, and UberEats comes next with around 10%. UberEats had a higher market share from March to July in 2020 at over 25%, but the momentum stopped soon after.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/09/09032021-LatamFoodDelivery_Inline_01.png\")
Thanks to the granularity of Measurable AI’s e-receipts data, we can see that geographically iFood covers most cities and regions in Brazil, especially in Brazil’s financial center Sao Paulo. UberEats focuses on most major cities in Brazil. Rappi’s orders, however, cover the least regions across the country. Outside the metropolitan area, iFood also owns the most complete geographical coverage in the rural areas. Illustrated in the map below, we can even see that iFood is the only food delivery provider in some regions of Brazil.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/09/09032021-LatamFoodDelivery_Inline_04-1.png\")
Customer behaviour also differs among the three services. On the basis of average order value (‘AOV’) alone, Rappi ranks first with the highest average order value at almost USD$13 in June last year, and remains to be the highest among all players with an average spend of around USD $9.9. Rappi’s high delivery fee probably contributes to its loftier AOV; the company charges over USD$1.5 for each delivery, while its rival iFood charges only half its price at around USD$0.6. iFood’s users spend on average less than USD$9 per order, while UberEats’ users tend to pay around USD$7 per order.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/09/09032021-LatamFoodDelivery_Inline_02.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/09/09032021-LatamFoodDelivery_Inline_03-1.png\")
Just like many other regions we’ve studied before (read our latest research on India’s Food Delivery Market), international food tech behemoth companies like Delivery Hero and UberEats also take a bite in Latin America’s food delivery market by investing or acquiring local services. Delivery Hero acquired Glovo’s Latin American operations, and also bought Colombian local service Domicilios.com (who later became part of iFood). Foreign services that are running their own apps in Latin America include Didi Food, UberEats, and some other fast food chains. However, ultimately the winners go to local companies so far: iFood takes the crown in Brazil, while Rappi wins in Mexico and Colombia. The competition is still going on with new food tech startups and e-commerce giants like Mercado Libra or Magazine Luiza joining the race of on-demand grocery deliveries.
\n\n\n\nInterested in finding out more about the food delivery sector? Talk to us for more detailed, transactional datasets on the food delivery industry in more markets.
\n\n\n\nABOUT US
\n\n\n\nMeasurable AI provides actionable consumer insights based on billions of e-receipts data for emerging markets.
\n\n\n\nCharlie Sheng is a serial entrepreneur and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai
\n\n\n\nThis Content is for informational purposes only, you should not construe any such information or other material as investment advice.
\n\n\n\nPrior written consent is needed for any form of republication, modification, repost or distribution of the contents. Please contact press@measurable.ai
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With Swiggy’s recent $1.25 billion dollar raise from SoftBank, Zomato’s acquisition of Ubereats last March for $206 million, Amazon’s forage into the food delivery sector, plus the recent IPO of Zomato, India’s online food delivery market is surely heating up and garnering a lot of worldwide attention and heavy investments.
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At Measurable AI, we analyse millions of email transactions to produce actionable consumer insights for corporations and financial institutions who wish to stay ahead of their peers in today’s competitive market. Recently we wrote an article on the food delivery market in Hong Kong. On the back of our unique e-receipt data, we now take a deeper look at the Indian food delivery market. We will focus mainly on the giants Swiggy vs. Zomato, as well as Ubereats (which got acquired by Zomato in January 2020).
The global online food delivery market, estimated to be about USD 113 billion in 2020, is one of the few industries which are growing double digit CAGR. In India alone, the online food delivery market was worth around $US 4.66 billion in 2020 and is one of the fastest growing sectors attracting a lot of heavy investments. Compared to the year before, the market size was around $US 2.9 billion. By 2026, the industry is forecasted to be worth US$ 21.41 USD with a staggering CAGR of 28.95% during 2020-2026.
\n\n\n\nSo on what basis can this rapid growth be explained? One factor propelling the accelerated growth of India’s online food delivery market for sure are the changing lifestyle and eating habits of its local population. Hectic schedules compounded with growing disposable income levels in India are pushing people towards ready-to-eat food at a cheaper rate. The one-click, on demand feature has popularized food delivery options amongst busy urbanites. Also, the rising digitalization among millennials and the increasing proportion of working women plus the prevalence of double-income families who prefer eating out has driven online food delivery trends in India.
\n\n\n\nLast but not least, the Covid-19 lockdowns have indubitably impacted the industry. We will take a look at how Covid impacted the Indian online food delivery business below. Interestingly enough, while the impact has been negative at first, post lockdown we witnessed some interesting trends such as order volumes surpassing pre-covid volumes of last year and the propensity to choose online payment methods instead of cash.
\n\n\n\n\n\n\n\nFirst, let’s take a look at who is leading sales in India. Since January 2019, Zomato has always dominated the market in terms of revenues. As can be seen below, Zomato had a much wider lead over Swiggy and managed to keep up its sales momentum until the beginning of April 2020. This is when Covid struck and the nationwide lockdowns began.
\n\n\n\nIt was not until the end of May 2021, that Swiggy sales caught up with Zomato’s and the two competitors became more on par.
\n\n\n\n![\"Total](\"https://blog.measurable.ai/wp-content/uploads/2021/08/08052021-IndiaFoodDelivery_Inline_06.png\")
In terms of average monthly spend amongst the players, we gathered that Swiggy users would spend more per transaction than Zomato users. Pre-covid, the average spend on Swiggy was roughly 220-250 Rupees (US$ 3-5). Spending seems to have picked up by a whopping 30% during the 2nd stage of the lockdown (around late April/May) with average transaction values hovering at around 300-350 Rupees (US$ 4-5).
\n\n\n\nWe attribute the first drop in spending due to most restaurants shutting down during the first lockdown in late March 2020. Consumers had shied away from online food ordering due to apprehensions on safety and a general preference for home-cooked food. After a month or two of lockdowns however, things have picked up again and recovery has been fast. We attribute this largely due to the prolonged boredom from eating at home and the desire to eat outside again along with the re-opening up of restaurants for food delivery service.
\n\n\n\n![\"Average](\"https://blog.measurable.ai/wp-content/uploads/2021/08/08052021-IndiaFoodDelivery_Inline_01-1.png\")
The graph below illustrates an index of the monthly users across the three players and how they stack up against one another since January 2019 up until June 2021. It seems that the pandemic has helped both companies improve their user economics and add more consumers as the frequency to dine out has dropped.
\n\n\n\n![\"Monthly](\"https://blog.measurable.ai/wp-content/uploads/2021/08/08052021-IndiaFoodDelivery_Inline_02-1.png\")
Initially, Zomato has always taken the lead pre-Covid. From our data, Zomato suffered the biggest drop in users from the pandemic. This can be attributed to the abrupt nationwide lockdown whereby more than 95% of restaurants suspended their services.
\n\n\n\nAlso, Zomato acquired UberEats in January 2020 and there may have been some handover friction (we suspect some users may have switched to Swiggy). We noticed that after the lockdown ended in May 2021, the number of online delivery users picked up rapidly again as restaurants resumed their services and the frequency to dine out dwindled. Instead, the urge to dine outside got substituted by ordering food delivery online.
\n\n\n\n\n\n\n\n![\"Monthly](\"https://blog.measurable.ai/wp-content/uploads/2021/08/08052021-IndiaFoodDelivery_Inline_03.png\")
The impact of covid has evidently damaged delivery volumes for most online platforms. From our consumer panel, Zomato has always taken the lead in order volumes but during the abrupt nationwide lockdown, they experienced a 70% sharp decline in order volumes (along with a massive drop in users as highlighted in the section above). This is not surprising given that the lockdown (beginning 24 March 2020) resulted in more than 95% of restaurants listed on delivery platforms closing doors for food delivery.
\n\n\n\nThe lockdown also resulted in an exodus of migrant workers from the big cities to their hometowns. Don’t forget that these migrant owners form the bulk of the delivery fleet for online food delivery operators in India. As such, it was inevitable that when the lockdown was lifted, the delivery operators were faced with a supply problem and needed time to get things up and running again.
\n\n\n\nLastly, unlike the US and Europe, where the alternative to dining-out is primarily delivery, in India, the alternative can be either delivery or cooking at home. Cooking at home was particularly favored in the early pandemic days as a delivery boy from one of the major delivery operators tested positive for covid. As a result, this hurt consumer sentiment and trust in the safety of food delivery operators, thereby triggering a shift towards home cooking.
\n\n\n\nAs illustrated above, it was not until September 2020, that the food delivery volumes returned to ~60-80% pre-covid time. Volumes have picked up on the back of stringent safety measures put in place by delivery operators to win back customer trust. Furthermore, to add to their topline due to a decreased customer base, delivery operators have tried to venture into adjacent categories like grocery, pharma and alcohol delivery.
\n\n\n\nWhat may surprise you from the insights we gathered from our consumer panel is that Swiggy is slightly leading Zomato in terms of order volumes post-covid. Why is this so? We dive into our data and realise that this is in parallel with Swiggy’s delivery fees being lower – sometimes free – and more aggressive than Zomato’s post lockdown.
\n\n\n\n![\"Platform](\"https://blog.measurable.ai/wp-content/uploads/2021/08/08052021-IndiaFoodDelivery_Inline_04.png\")
When it comes to app popularity, we noticed that pre-covid lockdowns, Zomato dominated the market with over 70% of users in the online food delivery market. Swiggy and UberEats, on the other hand, had a combined market share of less than 30%. There seems to be little overlap in the user base amongst the players.
\n\n\n\n![\"User](\"https://blog.measurable.ai/wp-content/uploads/2021/08/08052021-IndiaFoodDelivery_Inline_07.png\")
When it comes to app popularity, we noticed that pre-covid lockdowns, Zomato dominated the market with over 70% of users in the online food delivery market. Swiggy and UberEats, on the other hand, had a combined market share of less than 30%. There seems to be little overlap in the user base amongst the players.
\n\n\n\nCome post-covid lockdown though, Swiggy seems to have emerged stronger with roughly the same market share as its rival Zomato (this is even when Zomato has acquired UberEats!). Our data revealed that in 1Q21, Swiggy and Zomato shared roughly ~13% of the same user base.
\n\n\n\nSo why and how did Swiggy suddenly emerge so victoriously right after the lockdown? As mentioned above, we believe this has to do with Swiggy lowering its delivery fee more aggressively than Zomato.
\n\n\n\n\n\n\n\nIn terms of payment methods, for Zomato alone, we noticed that post-covid, more people are choosing to pay online via the app as opposed to using cash. Particularly in the second wave of covid (April-May 2021), there was a rapid increase in online payment methods in lieu of cash. (N.B. If you are interested in our online payment data, we have data on PayTM and PhonePe).
\n\n\n\n![\"Zomato](\"https://blog.measurable.ai/wp-content/uploads/2021/08/08052021-IndiaFoodDelivery_Inline_05.png\")
Just for fun, we decided to take a look into our granular data to see which hours stirred the most hunger among the Indian food ordering population and which dishes were the most popular.
\n\n\n\nDelving into our data, it looks like their lunch time is later than what we are used to in Hong Kong, with orders spiking at 1-2pm (intermittent fasting anyone?). Dinner time orders peak at the 8-9pm mark.
\n\n\n\n![\"Hourly](\"https://blog.measurable.ai/wp-content/uploads/2021/08/08052021-IndiaFoodDelivery_Inline_08.gif\")
When it comes to the most favored dishes amongst Indians, it looks like Chicken biryani wins the race across all three players. This is closely followed by Masala Dosa and then the Butter naan. I guess keto isn’t so popular in India.
\n\n\n\n![\"The](\"https://blog.measurable.ai/wp-content/uploads/2021/08/the-most-favored-dishes-amongst-indians.jpg\")
The Indian online food delivery market is surely undergoing revolutionary times with much consolidation and sizable investments from tier-1 investors. The Indian food delivery market is almost like a duopoly, where both Swiggy and Zomato will continue to operate as independent aggregators. However, while both Indian food tech giants are flush with funds and pass the US$ 1 billion mark, the upcoming fight is no more about market share but expansion into adjacent sectors.
\n\n\n\nBoth companies are diverging on how to take their businesses forward. Zomato has chosen to deepen its focus on B2B services for restaurants, while Swiggy is going all-in and investing its energy into new non-food categories like Swiggy Go and Instamart.
Stay tuned for our upcoming article in this exciting space. If you can’t wait or want more insights, don’t hesitate to write to us now at business@measurable.ai to make use of our granular dataset for more informed and actionable consumer insights.
\n\n\n\n\n\n\n\nAbout Measurable AI
\n\n\n\nWe are pioneers in gathering and parsing transactional email data for emerging markets with a strong focus on Latin America, the Middle East and South East Asia. We analyse billions of transactional emails and our clients are major players in the e-commerce, ride sharing and food delivery space.
\n\n\n\nFor more information, please visit www.measurable.ai.
\n\n\n\n*The content is for informational purposes only. You should not construe any such information or other material as investment advice
\n\n\n\nPrior written consent is needed for any form of republication, modification, repost, or distribution of the content. Please contact us at press@measurable.ai.
\n\n\n\nAbout Swiggy
\n\n\n\nFounded in 2014 with headquarters in Bangalore, Swiggy is India’s largest online food ordering and delivery company with operations in more than 100 Indian cities.
\n\n\n\nIn 2019, Swiggy expanded its general product deliveries under the name Swiggy Stores and it launched an instant pickup/go service called Swiggy Go. The service is used for a diverse array of items, including laundry and document or parcel deliveries to business clients and retail customers. In 2020, Swiggy also launched InstaMart to delivery grocery and household items in less than 45 minutes.
\n\n\n\nFor more information, please visit https://www.swiggy.com.
\n\n\n\nAbout Zomato
\n\n\n\nZomato recently went public in July. The company was founded in 2008 in India and now has a presence in over 24 countries and 10,000 cities. In April 2020, due to rising demand for online groceries amid the COVID-19 pandemic, Zomato launched its grocery delivery services named Zomato Market in 80+ cities across India.
\n\n\n\nTo date, Zomato has acquired 12 startups globally, the most notable and recent one being its acquisition of UberEats India in January 2020, and acquired a 9.3% stake in Grofers, the online grocery store in India.
\n\n\n\nFor more information, please visit https://www.zomato.com.
\n
Founded in 2012, Southeast Asia’s super app Grab is seeking an IPO through SPAC merger, which reportedly might become the biggest-ever U.S. equity offering by a South-East Asian company. Grab provides essential services including rideshare, food delivery, hotel booking, on-demand delivery, and payment services with its namesake mobile application. It now serves 670 million people across Singapore, Indonesia, Malaysia, Thailand, Philippines, Vietnam, Cambodia and Myanmar.
\n\n\n\nAt Measurable AI, the leading provider of transactional e-receipt data for emerging markets, we take a look at how Grab’s revenues fared across its delivery and mobility division in the midst of the pandemic.
\n\n\n\nA Breakdown of Grab’s Revenues Across its Mobility and Delivery Division
\n\n\n\nUp until Covid-19, the bulk of Grab’s revenues were derived from its mobility business. As illustrated in the diagram below, Grab mobility accounted for around 83% of the combined revenues from Grab’s mobility and delivery business. However, such ride-hailing services have suffered in the midst of the pandemic and after the launch of GrabFood (2018) and GrabMart (2019), delivery services now account for the bulk of Grab’s revenues (56% in 1Q20).
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/06/06012021-Grab_Inline_03_revised.png\")
Based on Measurable AI‘s very own transactional e-receipts data, the YoY growth rate of Grab’s delivery business for 2020 exceeded that in 2019 mainly due to the timely launch of GrabMart and the high demand for takeaway food. Apart from Grab’s booming delivery business, GrabExpress has also enjoyed rapid growth with revenues increasing more than 90% from 2018 to 2020.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/06/06012021-Grab_Inline_02-1.png\")
In contrast, Grab mobility has suffered the most during the pandemic and has fallen remarkably from its peak growth period throughout 2018 and 2019. That said, Grab’s overall revenues have not been greatly impacted by Covid-19 and have even witnessed an increase of 6% in 2020.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/06/06012021-Grab_Inline_06.png\")
In different markets, Grab’s growth performed diversely. During 2020 Q1-Q2, Grab Delivery experienced significant quarterly growth in its headquarter Singapore (109%). Starting from Q3 2020, things are starting to recover for the Mobility division. Specifically, in the Philippines, Mobility revenues kept growing back, and the momentum continued till Q4 last year.
\n\n\n\nUser Behaviour: Order Value and Overlap
\n\n\n\nAs for average order price (‘AOV’), the following table illustrates the AOV of Grab across its operations in different countries within the past year. Singapore captures the highest AOV in Southeast Asia, led by GrabExpress (as high as $USD11.2/order). Indonesia, on the other hand, experienced the lowest AOV across all businesses.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/06/06012021-Grab_Inline_05.png\")
In the past year, with the growth of Grab Delivery division, Gran users’ choice among its own ecosystem also changed. In 2019, only 26% Grab ride users also use its delivery services. But in 2020, the overlap grew to around 42%.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/06/06012021-Grab_Inline_07_revised.png\")
The Popularity of Non-cash Payment Orders
\n\n\n\nGiven the increasing popularity of mobile internet, it is not surprising that the proportion of non-cash payment orders has risen significantly for Grab. Five years ago, less than 10% of Grab’s users were utilizing non-cash payment methods.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/06/06012021-Grab_Inline_01-1.png\")
Now it is more than 65% with the lowest penetration country being Thailand, at 58%. Singapore, on the other hand, not only tops the chart for the largest AOV but also for its e-payment penetration rate of 86%.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/06/06012021-Grab_Inline_04_revised.png\")
Among all the cashless payments, some emerging players from Southeast Asia cover a huge portion. In Indonesia, OVO Pay ranks as the Top payment method for Grab users. Other than that, Grab Pay tops in almost all the other markets when it comes to paying for Grab bills. In both Philippines and Malaysia, Grab Pay is the No.1 payment method of all; in Singapore and Thailand, Grab Pay is the second-best choice for users after the traditional credit cards. In Vietnam, the most used payment method is Moca Wallet, a local leading mobile payment app, supported in the Grab app.
\n\n\n\n\n\n\n\nBy Michelle Tang, Jocelyn Yang, Tiger Li, and Kitty Cheung
\n\n\n\nTalk to us for more transactional datasets on rideshare or food delivery industries in more markets.
\n\n\n\nABOUT US
\n\n\n\nMeasurable AI provides actionable consumer insights based on millions of consumers’ transactional records for the emerging markets.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice
\n\n\n\nPrior written consent is needed for any form of republication, modification, repost, or distribution of the contents. Please contact press@measurable.ai
\n
The competitive landscape of the food delivery market in Asia has changed a lot in 2021. Previously our reports showed how major food delivery companies in Asia were performing during covid (Read The Roller Coaster Goes On: Food-Delivery Companies in Asia). After a year of pandemic, the battle goes on, and is heating up in one of the most densely populated markets – Hong Kong.
\n\n\n\nBased on Measurable AI’s transactional e-receipts data from January to April 2021, Foodpanda leads with a slight edge in revenue market share in Hong Kong, against its rival Deliveroo, while UberEats still occupies a smaller share at around 5%.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/05/05112021-FoodDelivery-HK_Inline_01.png\")
In our previous study, we found out that Deliveroo Plus’ VIP users tend to order more frequently with a lower average order amount compared to its non-VIP users.
\n\n\n\nFoodpanda’s paid users, however, behave differently. In late March, Foodpanda also launched its paid membership program Panda Pro with a $HK 65/ month subscription fee. Unlike Deliveroo Plus who offers free deliveries for all orders, Panda Pro only covers 5 free deliveries per month. Thus Foodpanda users on average still pay more on delivery fees. The chart below shows how users react to fees including order price(except for delivery fee) and delivery fee.
\n\n\n\nAverage order price: Deliveroo > Foodpanda > UberEats
\n\n\n\nDelivery fee: UberEats > Foodpanda > Deliveroo
\n\n\n\nThe chart also shows that Deliveroo in recent months still owns the highest total order value and lowest delivery fee with a relatively medium-sized user group. Even if we weed out the Deliveroo plus users, Deliveroo still charges the lowest delivery fees. In April, the average spend of Deliveroo is around 20% higher than that of Foodpanda.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/05/05112021-FoodDelivery-HK_Inline_03.png\")
In the past 4 months, the aggregate market size of the food delivery market in Hong Kong didn’t grow much. Foodpanda and Deliveroo had an approximate revenue market share of around 47% in both January and March. In the remaining two months, Foodpanda had a slight advantage owing to the monthly revenue decline of Deliveroo.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/05/05112021-FoodDelivery-HK_Inline_02_revised.png\")
User overlap is an important indicator of user loyalty. According to Measurable AI’s e-receipts data in 2021, 43%(+6% compared to 2020 data) of users choose Foodpanda exclusively. Among all Foodpanda users, 32%(-4%) also ordered food through Deliveroo and 12%(-8%) on UberEats.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/05/05112021-FoodDelivery-HK_Inline_04.png\")
By Charlie Sheng, Jocelyn Yang and Kitty Cheung
\n\n\n\nTalk to us for more transactional datasets on food delivery industries in more markets.
\n\n\n\nABOUT US
\n\n\n\nMeasurable AI provides actionable consumer insights based on millions of consumers’ transactional records for the emerging markets.
\n\n\n\nJocelyn Yang is a data analyst with a background in economics and blockchain. She enjoys using Measurable AI’s unique transactional e-receipts data to generate consumer insights for the emerging markets.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice
\n\n\n\nPrior written consent is needed for any form of republication, modification, repost or distribution of the contents. Please contact press@measurable.ai
\n
When it comes to consumer behavior under the pandemic, nothing has been too different all around the world now. The war among food delivery companies that we have seen in many regions is also happening in the Arab world. According to Measurable AI’s transactional e-receipts data, the overall food delivery market in the Middle East has doubled its revenue size in 2020.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/05/05052021-MiddleEast_Inline_03-1.png\")
Food Delivery is the New Oil
\n\n\n\nWe chose a few representative countries with high levels of food delivery penetration, and the rate of growth is astounding. Saudi Arabia has the highest growth rate of food delivery revenue among all countries in 2019-2020, ranking first in the Middle East with over 170 percent. Furthermore, the UAE, Bahrain, Kuwait, and Qatar are experiencing double-digit growth in food delivery revenue.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/05/05052021-MiddleEast_Inline_06.png\")
The two pie charts below show changes in the market for food delivery revenue from the Middle East between 2019 and 2020. Talabat (owned by DeliveryHero) is a market leader, accounting for 69% and 55% of the Middle East market revenue in 2019 and 2020, respectively. It’s worth noting that another player Mrsool has also benefited significantly from its rapid market expansion in Saudi Arabia. UberEats, on the other hand, announced its exit from the Middle East market in May 2020, handing over to local player CareemNow.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/05/05052021-MiddleEast_Inline_05.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/05/05052021-MiddleEast_Inline_04.png\")
Let’s move to specific metrics of consumer behavior in the food delivery market in the Middle East. The following table below shows the market distribution of merchants, as well as their average order price and delivery fee. In most countries, Talabat’s order price and delivery fee are relatively low when compared to other merchants. Mrsool, however, charges a higher order price and delivery fee in Egypt and Saudi Arabia than other players, reaching as high as US$5.7 per order in Saudi Arabia.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/05/05052021-MiddleEast_Inline_09.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/05/05052021-MiddleEast_Inline_10.png\")
Looking into Saudi Arabia and UAE
\n\n\n\nFollowing an examination of the Middle East market as a whole, we want to take a closer look at two markets: Saudi Arabia and the United Arab Emirates.
\n\n\n\nMrsool, HungerStation, and CareemNow all had good growth in Saudi Arabia in 2020. Mrsool’s order revenue in 2020 is more than five times that of 2019.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/05/05052021-MiddleEast_Inline_07.png\")
Its market share has risen from 59 percent in Q3 of 2019 to 77 percent in Q1 2021. Following Mrsool, the runner-up player HungerStation has consistently occupied approximately 15% of the market since 2019 Q4. CareemNow only maintained a small cut of the market, but it’s still active.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/05/05052021-MiddleEast_Inline_02.png\")
In the United Arab Emirates, Talabat, Deliveroo and CareemNow have all achieved revenue growth during the past 2 years. Talabat’s YOY growth in 2020 and 2021 is extremely high, due to a rise in average order frequency and customer volume. Deliveroo in UAE has also seen rapid success, steadily establishing itself in second place since 2020 Q2.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/05/05052021-MiddleEast_Inline_08.png\")
Talabat steadily occupies about 76% of the market. However, in recent months, Deliveroo is gradually expanding its market occupation.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/05/05052021-MiddleEast_Inline_01.png\")
By Charlie Sheng, Jocelyn Yang and Kitty Cheung
\n\n\n\nTalk to us for more transactional datasets on food delivery industries in more markets.
\n\n\n\nABOUT US
\n\n\n\nMeasurable AI provides actionable consumer insights based on millions of consumers’ transactional records for the emerging markets.
\n\n\n\nJocelyn Yang is a data analyst with a background in economics and blockchain. She enjoys using Measurable AI’s unique transactional e-receipts data to generate consumer insights for the emerging markets.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice
\n\n\n\nPrior written consent is needed for any form of republication, modification, repost or distribution of the contents. Please contact press@measurable.ai
\n
“Whales” are usually referred to as a small group of people who contribute a large percentage of revenues in successful games. These users’ purchasing behavior can be very different from regular users. Previous studies showed that 1% of the users are responsible for over 59% of the revenues on iPhone’s marketplace in the US. In 2019, revenues from the top 10 mobile games on both iOS and Android account for 15.8% of total app revenues. Behind the lucrative mobile game earnings, only a small fraction of spenders are responsible.
\n\n\n\nHowever, to identify potential “Whales” is not easy.
\n\n\n\nIn this blog post, we’d like to share how Measurable AI’s own e-receipts data on in-app purchases can be used to help game developers better understand their customers and potentially to build more accurate advertising targeting.
\n\n\n\nCurrently, Measurable AI offers in-app-purchase receipts datasets from both Apple’s App Store and Google Play. Every time a digital purchase happens on an iPhone or iPad, users will receive an email receipt sent from Apple or Google Play with details of the purchase. Each Apple email receipt comes with a specific format that includes the full name and type of the service, time of the purchase, amount of money spent, and the quantity involved. Measurable AI’s data panel covers billions of e-receipts data collected directly from users who opted-in data sharing with our own consumer apps.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/05/Screen-Shot-2021-05-05-at-6.44.33-PM-1253x1080.png\")
Apriori is a popular algorithm for extracting frequent itemsets with applications in association rule learning. The apriori algorithm has been designed to operate on databases containing transactions, such as purchases by customers of a store. An itemset is considered as “frequent” if it meets a user-specified support threshold.
\n\n\n\nIn this specific case study, we will use association rule methodology to identify big spending gamers’ “frequent” In-App Purchase behavior across different popular mobile games. Based on the total dollars spent, we include the top-grossing mobile games from Measurable AI’s data panel. At last, we have 11 top-grossing apps selected, each with a unique App ID from Apple’s App Store.
\n\n\n\nIn Measurable AI’s data panel, structured raw data with different attributes can be exported based on specific requirements. EmailID, Timestamp, Currency, game ID, In-App-Purchase ID are chosen as primary required attributes to identify the export. Unnecessary attributes from the dataset are removed. App ID is normalized to game 1-11.
\n\n\n\nResults showed that for popular games like PUBG Mobile: In-App Purchase items priced at CNY 648.00 and 328.00 represent only 10% of the total purchasing activities, but contribute more than 50% of the total revenues. In this dataset, we assume an In-App Purchase order with an amount larger than or equal to CNY 328.00 as Big Spend activity. Next, we marked “b” for Big Spends in the “spend” column, and the rest of paying activities as “s” for Small Spends to continue further analysis.
\n\n\n\n| accountID | appId | spend |
| 1 | game1 | b |
| 1 | game1 | b |
| 2 | game1 | s |
| 3 | game1 | s |
| 4 | game1 | s |
| … | … | … |
| 9945 | game11 | s |
| 9945 | game11 | b |
| 9946 | game11 | s |
| 9947 | game11 | s |
After merging the dataset by accountID and transforming it into 0-1 matrix, the dataset is ready for generating frequent itemsets and association rules.
\n\n\n\n| antecedents | consequents | support | confidence | |
| 1 | (game2_S, game4_S, game3_S) | (game10_S) | 0.001349 | 0.722222 |
| 2 | (game8_S, game2_S) | (game10_S) | 0.001142 | 0.647059 |
| 3 | (game4_S, game3_S) | (game10_S) | 0.004566 | 0.543210 |
| … | … | … | … | … |
| 20 | (game4_B, game2_B) | (game10_B) | 0.001142 | 0.305556 |
| … | … | … | … | … |
| 26 | (game2_B, game4_S) | (game10_B) | 0.001142 | 0.282051 |
| … | … | … | … | … |
| 30 | (game6_B) | (game10_B) | 0.002387 | 0.277108 |
| 31 | (game1_S) | (game10_S) | 0.003736 | 0.276923 |
| 32 | (game3_B) | (game10_B) | 0.001453 | 0.274510 |
We use game10 (Honor of Kings) as consequent, as we can see from the result, game10_S had a very high confidence rate since it’s the most popular mobile game in China with a huge paying gamer base that overlaps with many other games.
\n\n\n\nSmall spenders of Game2, Game4, and Game3 have a very high confidence rate around 72% to be small spenders of Game10. Based on all the results, specific spending patterns are found among big spenders with a confidence rate around 25-30%. It is also shown that users of Game 6 have around 27% of confidence rate to be big spenders of Game 10.
\n\n\n\nGaming companies spend trillions of dollars on advertising every year, looking for whale spenders. Actually, with a simple model as proposed in this study, more accurate targeting can be realized with association rules.
\n\n\n\nWhen Measurable AI’s data business first started, we developed a data dashboard specifically for app developers with our in-app-purchase e-receipts data. On the dashboard, customers can monitor real-time spending, purchase retention of different apps and games.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/05/Screen-Shot-2021-05-05-at-6.57.10-PM-1208x1080.png\")
I remembered when we showcased the dashboard feature, one of our clients confessed their biggest struggle was to identify big spenders’ behaviours. According to the client, some big spenders as “whales” only last for a limited time period in one game. As time goes, some big spenders leave the former game and look for the next favorite one.
\n\n\n\nOur case study wants to help predict possible purchasing patterns of big spenders, but may not yet suffice to predict big spenders’ new interest in new games for the long run. That’s why a data feed updates weekly or even daily is necessary. To help predict more accurately the big spenders’ behavior, other characteristics such as game type, geography, and demographic information may also be helpful to include.
\n\n\n\nMeasurable AI’s In-App-Purchase Datasets are also available as part of an Alternative Data catalog on Bloomberg Enterprise Access Point.
\n\n\n\nCurrently on Bloomberg’s BEAP platform, we offer a granular e-receipts dataset covering 20 tickers out of 50 top mobile apps and games, as well as an aggregated dataset featuring 5 e-commerce tickers from the emerging markets: Shopee, Lazada, Momoshop, HKTVMall, and MacardoLibre.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/05/Bloomberg_PR_01C_Eng-1600x840.png\")
Talk to us for for more interesting datasets.
\n\n\n\nABOUT US
\n\n\n\nCharlie Sheng is a serial entrepreneur and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai
\n\n\n\nMeasurable AI provides actionable consumer insights based on billions of alternative data for emerging markets.
\n
One of the most common use cases of our e-receipts data is to serve as a proxy of companies’ revenues and sales. When we have access to a consistent email receipts data panel, as the one Measurable AI offers, we are able to generate predictions after the end of each quarter based on historical data, given our data updates frequently on a weekly basis.
\n\n\n\nFollowing a Bayesian approach first tested by De Rossi, et al in 2017 with Amazon e-receipt data, we employ Measurable AI’s very own email receipts data for a case on company Children’s Place (NASDAQ: PLCE).
\n\n\n\nTo summarize, the approach aims to estimate the growth rate by calculating the posterior distribution using the e-receipts data, with sales management guidance as prior information.
\n\n\n\nBased on Measurable AI’s e-receipts data sample from 2020 January to 2020 June, we get the number of total sales for both Q1 and Q2, which results in an estimated growth rate of 1.43 (43%)
\n\n\n\nWe then used the public estimated revenue figures from Bloomberg as the sales management guidance, which falls between 1.27 to 1.65. Following the methodology by De Rossi et al, we take 1.43 as the final estimated growth rate for Q2.
\n\n\n\nFinally, the actual Q2 sales for Children’s Place turn out to be 368M. This means the actual growth rate is around 1.44, which proves our estimation with e-receipts data is accurate.
\n\n\n\nTalk to us for for more interesting datasets on food-delivery industry.
\n\n\n\n\n\n\n\n\n\n\n\nABOUT US
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology. She enjoys writing stories with Measurable AI’s very own e-receipts data. You can reach her at charlie@measurable.ai
\n\n\n\nMeasurable AI provides actionable consumer insights based on billions of alternative data for emerging markets.
\n\n\n\n*Reference research: Guida, T., De Rossi, G., Kolodziej, J. and Brar, G. (2018). Big Is Beautiful: How Email Receipt Data Can Help Predict Company Sales. In Big Data and Machine Learning in Quantitative Investment, T. Guida (E.).
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Since the outbreak of COVID-19, the frequency of going out has been greatly reduced, resulting in plummeting sales of ride-hailing companies. Based on Measurable AI’s e-receipts data, we take a closer look into the competition between two ride-hailing giants from South East Asia: Gojek and Grab, in one of their biggest markets Indonesia.
\n\n\n\nSharp Decline in Ride-sharing Mobility
\n\n\n\nOrder volume and confirmed cases of covid-19 are conversely correlated throughout the past year. In March 2020 when the pandemic just began to hit the country, the monthly order volume dropped dramatically by over 84% for Grab, and 81% for Gojek. Since then, the average weekly order volume has been staying very low, with minor ups and downs depending on the pandemic situation. Based on what we’ve seen from the past two months of 2021, the overall ridesharing orders have not yet recovered in Indonesia.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/03/03222021-IndoniesiaRideSharing_Inline_01-1.png\")
Market Share in Car and Motorbike Rides
\n\n\n\nIn the past year (March 2020-February 2021), the revenue market share of Grab versus Gojek (including motorbike and car section) was around 58% to 42%. The chart below shows the detailed monthly market size breakdown.
\n\n\n\nAccording to Measurable AI’s e-receipts data panel throughout the year, Grab dominates the car and taxi section, taking around 63% of the Indonesia spending, while Gojek owns around 37%. During Q2 and Q3 in 2020, Grab’s revenue market share in car rides fell from 70% to 52%, but regained to around 65% in January 2021.
\n\n\n\nWhen it comes to motorbike rides, Gojek is leading with a small advantage in Indonesia throughout the past year.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/03/03222021-IndoniesiaRideSharing_Inline_02.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/03/03222021-IndoniesiaRideSharing_Inline_03.png\")
A lifestyle for riders in Indonesia
\n\n\n\nThe chart below shows the order volume index by hour across the two platforms.
\n\n\n\nWhen dawn comes and people start to go out, the order volume starts to increase sharply. For Grab riders, orders peak slightly earlier at around 10am, but for Gojek orders peak between 11am-12pm. Order volume from Gojek falls back to a low point from 2pm to 4pm and rebounds to a second peak around sunset; while order volume from Grab drops steadily after the peak till the middle of the night.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/03/03222021-IndoniesiaRideSharing_Inline_04-1.png\")
Cars or MotorBikes?
\n\n\n\nFor the past year of 2020, both Grab and Gojek obtain more motorbike orders than cars. Comparing the ratio of car rides during weekdays and weekends, we find that people are more likely to call cars on weekends.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/03/03222021-IndoniesiaRideSharing_Inline_06-1.png\")
The car section remains to be key revenue stream for both companies. Take Grab as an example, 42% of its orders are from car rides, which contribute to 67% of Grab’s overall ride-hailing revenue.
\n\n\n\nFor Gojek, 69% of its ride-hailing orders come from the motorbike section, but over 50% of its revenues still rely on car rides.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/03/03222021-IndoniesiaRideSharing_Inline_05-1.png\")
By Charlie Sheng, Jocelyn Yang and Kitty Cheung
\n\n\n\nTalk to us for more transactional datasets on ride sharing industries in more markets.
\n\n\n\nABOUT US
\n\n\n\nMeasurable AI provides actionable consumer insights based on millions of consumers’ transactional records for the emerging markets.
\n\n\n\nJocelyn Yang is a data analyst with a background in economics and blockchain. She enjoys using Measurable AI’s unique transactional e-receipts data to generate consumer insights for the emerging markets.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice
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As consumer adoption of food delivery increases, the competition among food delivery companies on wallet share and loyalty continues.
\n\n\n\nIf a restaurant is available on all delivery apps, users get to choose which app to order from. To lure more users to their own platforms, food delivery companies need to adjust their pricing strategies, optimize the service, run various promotion campaigns, and even offer alternative services such as grocery deliveries.
\n\n\n\nFoodPanda is winning in user loyalty in Hong Kong
\n\n\n\nAccording to Measurable AI’s e-receipts data in 2020, Foodpanda, Deliveroo, and UberEats own 67%, 45%, and 29% of total users respectively in the Hong Kong market. Among all of them, 37% of users choose Foodpanda exclusively.
\n\n\n\nAmong the rest of the users, 36% also ordered food through Deliveroo and 20% on UberEats. Compared with the other two players in Hong Kong, Foodpanda users stand out to be the most loyal ones.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/03/02232021-FoodAppUsersOverlap_Inline_01.png\")
Deliveroo Plus: VIP users make more orders with fewer items
\n\n\n\nDeliveroo is the only platform that offers a premium membership to users which covers all delivery fees with a subscription fee.
\n\n\n\nIn comparison between VIP and No-VIP users in Hong Kong, we find that the former group tends to order more frequently, probably for the convenience of zero delivery fee, thus the average price of the VIP orders is a bit lower than that of the non-VIP ones.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/03/02232021-FoodAppUsersOverlap_Inline_02.png\")
In Singapore, Grab is leading in both market share and loyal users. According to all e-receipts transactions in 2020 from Measurable AI, Grab, Foodpanda, and Deliveroo take the share of 66%, 59%, and 17% of total users respectively in the Singapore market.
\n\n\n\nA whopping 35% of users choose Grab exclusively in Singapore, while 27% of people use Foodpanda only and 3% on Deliveroo.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/03/02232021-FoodAppUsersOverlap_Inline_03B.png\")
Weak advantage of Foodpanda in Taiwan
\n\n\n\nIn 2020, there are mainly 2 players in Taiwan, for Deliveroo already quit the market in April. Foodpanda and UberEats share the market, 38% of users in Taiwan order their food only on Foodpanda, and 29% choose UberEats. In 2020, 33% of users in Taiwan have spent money on both platforms.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/03/02232021-FoodAppUsersOverlap_Inline_04.png\")
Talk to us for more transactional datasets on food delivery industries in more markets.
\n\n\n\nABOUT US
\n\n\n\nMeasurable AI provides actionable consumer insights based on millions of consumers’ transactional records for the emerging markets.
\n\n\n\nJocelyn Yang is a data analyst with a background in economics and blockchain. She enjoys using Measurable AI’s unique transactional e-receipts data to generate consumer insights for the emerging markets.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice
\n\n\n\nRead previous reports on Food Delivery:
\n\n\n\nThe Roller Coaster of Food-Delivery Companies in Asia (II)
\n\n\n\nThe Roller Coaster of Food-Delivery Companies in Asia (I)
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In a former report, we used Measurable AI’s unique e-receipts data to look at the food delivery industry in APAC in the early months of covid-19, and saw a huge surge in food delivery volume. After six months, the pandemic is still not over, and so is the competition among the food delivery companies.
\n\n\n\nBased on one year of historical data in 2020, Measurable AI presents the second part of the food delivery industry research, covering market share, user behavior, and pricing strategy.
\n\n\n\n1. Who is winning the “hunger game”
\n\n\n\nMeasurable AI’s e-receipts data reveals major players’ market share change across the whole year of 2020.
\n\n\n\nCompetition between Deliveroo and Foodpanda remains fierce in Hong Kong. Deliveroo was leading in Q1 and Q4 while Foodpanda performed better in the second half of the year. In contrast, UberEats occupies a smaller market share in Hong Kong, with less or equal to 8%.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/02/02172021-FoodDelivery_RevenueMS-HK.png\")
GrabFood obtained the highest share of wallet (SOW) in Singapore in 2020, reaching 60% of the market share in March and April. Though facing a fierce chase of Foodpanda, it’s above where it was at the beginning of 2020. Deliveroo’s situation in Singapore is a bit similar to UberEats in Hong Kong, with a small market share of close to 8%. (*Go-Jek is not included in this dataset)
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/03/02172021-FoodDelivery_RevenueMS-SG-1.png\")
In Taiwan, Foodpanda and UberEats share the market. Foodpanda led slightly with a percentage of more than 50% during Q1-Q3. However, Foodpanda caught up in the last quarter with a small advantage (around 50.1% versus 49.9%). What is consistent with the fact is Deliveroo quit in April and our data catches this event.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/02/02172021-FoodDelivery_RevenueMS-TW.png\")
2. Customer Behaviour: Whales Versus Frequent Buyers
\n\n\n\nWe mainly look at the customer behaviour on these major food delivery platforms through their average order price, price distribution, and order volume. According to Measurable AI’s e-receipts data, customers’ behaviour varies a lot across these major food delivery companies. It is noted that in all regions, Deliveroo customers are the “whale spenders”.
\n\n\n\nHong Kong:
\n\n\n\nIn Hong Kong, we set the price interval as 4 USD based on our granular e-receipts data. From the price line chart and distribution histogram, it is seen that:
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/02/02172021-FoodDelivery_AverPrice-HK.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/02/02172021-FoodDelivery_PriceDisHis-HK.png\")
Singapore:
\n\n\n\nIn Singapore, frequent buyers definitely outnumbered the whale spenders. According to our e-receipts data, we set the price interval as 3 USD.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/03/02172021-FoodDelivery_AverPrice-SG.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/03/02172021-FoodDelivery_PriceDisHis-SG.png\")
Taiwan:
\n\n\n\nIn Taiwan, we set the price interval as 2 USD, and the findings are as follows:
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/02/02172021-FoodDelivery_AverPrice-TW.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/02/02172021-FoodDelivery_PriceDisHis-TW.png\")
3. Capturing the Delivery Fee Strategy
\n\n\n\nOur e-receipts data reveals the competition among these food delivery companies on the delivery fees. Delivery fee and order volume are negatively related both horizontally and vertically.
\n\n\n\nHong Kong:
\n\n\n\nAll companies have tried to cut the delivery fee in different regions, among which UberEats in Hong Kong did make some big moves. According to the graph below for the Hong Kong market, the delivery fees of UberEats keep dropping along the way in 2020. As time goes on, delivery fees decrease when order volume increases. The order volume of Foodpanda reached the peak in July, which is also consistent with the coronavirus peak in Hong Kong.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/02/02172021-FoodDelivery_Delivery-HK.png\")
Singapore:
\n\n\n\nIn Singapore, the order volume of GrabFood and Foodpanda both reached a peak in Q2, while Deliveroo remained unchanged. Surprisingly in May and June, Foodpanda surpassed GrabFood in order volume.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/03/02172021-FoodDelivery_Delivery-SG.png\")
Taiwan:
\n\n\n\nUberEats: The average delivery fee of UberEats was stable at the level of 1.1 USD/order and their order volume steadily increased in 2020.
\n\n\n\nIn March, the delivery fee of Foodpanda has seen a sharp decline, dropping from 0.9 USD to 0.1 USD on average, resulting in the growth of order volume at a growth rate of 77.4%. Every time the delivery fee dropped to the bottom, the order volume hit the peak and vice versa.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/02/02172021-FoodDelivery_Delivery-TW.png\")
Talk to us for more transactional datasets on food delivery industries in more markets.
\n\n\n\nRead: The Roller Coaster Goes On: Food-Delivery Companies in Asia (I)
\n\n\n\nABOUT US
\n\n\n\nMeasurable AI provides actionable consumer insights based on millions of consumers’ transactional records for the emerging markets.
\n\n\n\nJocelyn Yang is a data analyst with a background in economics and blockchain. She enjoys using Measurable AI’s unique transactional e-receipts data to generate consumer insights for the emerging markets.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice
\n
After obtaining his PhD in Statistics in France, Damien got a 2 years postdoctoral position at the Hong Kong University of Science and Technology. During his research years, he published several papers on the topic of the Random Matrix theory. After that, he worked as a Data Scientist in several companies, including a horse racing betting syndicate and a hedge fund. Damien now joins Measurable’s team as the Chief Data Scientist.
\n\n\n\nLet’s hear his story!
\n\n\n\n1. Tell us about your story with Math
\n\n\n\nEver since I can remember, I have always had a passion for Mathematics. Despite being a small country, France has a significant amount of famous matheßmaticians (Descartes, Legendre, Fourrier, Cauchy to name a few), so it seems that I was in the right place! So after high school, I joined the University to study Mathematics. There are a lot of different fields, and I chose to specialize in Probability and Statistics because it’s one of the fields in which you find the most direct applications in “real” life.
\n\n\n\nWhat I like in Mathematics is that it is a matter of rigor and systematic reasoning: you prove a theorem using only certain assumptions (axioms), and thus a theorem is always correct. A mathematical statement is either right or wrong, there is no middle ground.
\n\n\n\n2. Any advice for people who want to start a career in data science?
\n\n\n\nI think it’s important to have some background in Math: it seems easy to just call a module in your favorite machine learning library, but you should be able to understand the intuition, assumptions, and how it is working, in order to apply the correct algorithm and get good results. Another important thing is to practice your coding skills: when you analyze data, you write code all the time, and it’s essential to have efficient and organized code. The best thing to do is to practice: work and make predictions on real data.
\n\n\n\n3. Please tell us about a most impressive thing you have built with data
\n\n\n\nWhen I was working on horse racing betting, I developed a method to make predictions on quartet bets (4 first horses in correct order). The difficulty is that you only have the historical data on the winning combination, but you need all combinations. So I found a way to estimate the missing data and make accurate predictions.
\n\n\n\n4. Your favorite French Food!
\n\n\n\nDon’t get me started on this topic! Generally speaking the breads, pastries and desserts you find at the bakery and cake shop. How can I not mention the cheeses, with all the winter dishes based on it: raclette, tartiflette, fondue Savoyarde…Also I really like the galettes (buckwheat pancakes) from Brittany, fondue Bourguignonne, steak tartare…
\n\n\n\nABOUT US
\n\n\n\nMeasurable AI provides actionable consumer insights based on transactional data for the emerging markets.
\n\n\n\nData inquiries: Email business@measurable.ai
\n\n\n\n
While the new waves of coronavirus continue to hit the world, consumers have gradually become used to the new norm of working from home and shopping online. The panic buying peak during the first breakouts may have been normalized, but in every aspect of life, the shopping behavior patterns are still changing.
Transaction value in the digital commerce segment in Malaysia is projected around US$ 11b in 2020, which makes up to almost 21% of the country’s total consumer spending. (Statistica, 2020)
\n\n\n\nMeasurable AI’s granular item-level e-receipts dataset provides insights into consumer spending behaviors across different sectors in Malaysia during the pandemic.
\n\n\n\nUtility Bills Go High and Digital
Tenaga Nasional (KLSE: TENAGA), Malaysia’s national and the only electric utility company realizes digital transformation thanks to the pandemic. Its portal website and mobile app MyTNB just announced over 4.6 million registered accounts as of October 13, 2020. The portal and app allow users to pay utility bills and other TNB related transactions online.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/11/1106-MalaysiaSinceCovid_Inline_01-2.png\")
According to Measurable AI’s dataset, electricity bills paid via MyTNB surged since April 2020 and peaked in the following month. The overall electricity bill amount paid also remained high in Q3. Among these utility bills, many of the users opened their MyTNB accounts for the first time.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/11/1106-MalaysiaSinceCovid_Inline_02-1.png\")
The impact on transportation was huge but recovered more quickly than other industries. Demand for gas and fuel experienced a huge drop in April and May during the lockdown, but grew back soon and even hit a new high in June and July. According to Measurable AI’s e-receipts data of fuel bills sent from Setel , the gas station payment app by the country’s national gas company.
\n\n\n\nE-commerce is growing, with no surprise
According to Temasek’s 2019 e-conomy report, Malaysia’s e-commerce market value reached over 3 billion and covers 42% of its internet economy. Not surprisingly, e-commerce sales keep growing as people try to stay out of the brick and mortar stores. Shopee (NYSE:SE), South East Asia’s emerging e-commerce giant has grown to be the No.1 in Malaysia. Both its order volume and revenue amount shows steady growth during Q2 and Q3 this year. In the significant month of April alone, the order volume grew up to 30 % month-over-month and over 65% year-over-year.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/11/1106-MalaysiaSinceCovid_Inline_03-1.png\")
All for Food-Delivery, None for Ride-hailing
\n\n\n\nThough usually offered within the same app, ride-hailing and food-delivery industries experienced two very different 2020. In Malaysia, the dominant ride-hailing app Grab suffered a huge fall in business volume but gained uptrend with its booming food-delivery service GrabFood.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/11/1106-MalaysiaSinceCovid_Inline_04-2.png\")
Another Food-delivery service Foodpanda (FWB: DHER) has also seen major growth during the Covid-19 and steadily kept the momentum. In our earlier research on Food -delivery in South East Asia, the same uptrend was seen in other countries as well for Foodpanda.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/11/1106-MalaysiaSinceCovid_Inline_05-1.png\")
Payments Online versus Offline
\n\n\n\nOnline payment gateways (and P2P wallets) such as iPay88, which consumers rely on to do online shopping have been doing okay.
\n\n\n\nE-wallet providers that are linked to offline retailers and shops experienced a significant drop during the lockdown and recovered healthily along when cities reopened in Malaysia. Services like Fave (mobile e-wallet app) has taken a hit since April, with a drop of over 60% month-over-month.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/11/1106-MalaysiaSinceCovid_Inline_06-1.png\")
Local Classified is doing alright
Mudah is one of the biggest classified and second-hand buy and sell marketplace. Measurable AI’s e-receipts data shows that the monthly estimated new listings fell dramatically in March, April, and May, but shortly recovered to where it was before the pandemic.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/11/1106-MalaysiaSinceCovid_Inline_07-1.png\")
Additionally, among all the listings, Gadgets and Electronic remains to be the most popular category despite the pandemic, there was also a slight increase in listings in the home appliance category in recent months.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/11/1106-MalaysiaSinceCovid_Inline_08-1.png\")
Talk to us for more transactional datasets on consumer spending in more emerging markets.
ABOUT US
\n\n\n\nMeasurable AI provides actionable consumer insights based on millions of consumers’ transactional records for the emerging markets.
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology. Charlie writes stories about consumer trends with Measurable AI’ real-time transactional data panel.
\n\n\n\nYou can reach her at charlie@measurable.ai
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice
\n\n\n\n
Measurable AI‘s aggregated monthly order amount based on its e-receipts data turns out to be a leading indicator for revenue movements of Momoshop, a top E-commerce website from Taiwan (TWO: 8454).
\n\n\n\nCompared with the monthly revenue number published on MomoShop’s own IR page, Measurable AI’s aggregated number for monthly order has been a great proxy of the revenue movement of the company.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/09/MAI_CaseStudies_MomoShop_V2-1527x1080.png\")
Talk to us for more interesting datasets on the e-commerce industry.
\n\n\n\nABOUT US
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology. Charlie writes stories about consumer trends with Measurable AI’ real-time transactional data panel.
\n\n\n\nYou can reach her at charlie@measurable.ai
\n\n\n\nMeasurable AI provides actionable consumer insights based on billions of alternative data for the emerging markets.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice
Even before the pandemic, the food-delivery industry in Asia was growing insanely fast with big players trying to take over new markets every month. After the outbreak, these companies finally prove that food-delivery is a necessity in life. However, the food delivery war is still going on, and moving even faster than it was.
\n\n\n\nBased on Measurable AI’s e-receipts data panel across the emerging markets, we have seen some new changes in market share, and user behaviour among some biggest players in food delivery in Asia.
\n\n\n\n1) Foodpanda is gaining momentum in Asia Pacific with a solid Q1
\n\n\n\nThough each company has its own focus market, Foodpanda (FWB: DHER) manages to keep its part in all three major markets in Asia Pacific. In Hong Kong, the market share of Foodpanda had a significant increase, growing from 37% to 49% YOY. In Singapore, Foodpanda began to catch up in market share since April 2020, against Grab. In Taiwan, Foodpanda and Ubereats are very close in terms of monthly order volume, but the former still manages to keep a 17% growth in market portion YOY.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/02/Food-delivery-market-share-in-Hong-Kong_2021update-1600x1000.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/02/Food-delivery-market-share-in-Singapore_2021update-1600x1000.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/02/Food-delivery-market-share-in-Taiwan_2021update-1600x1000.png\")
The growth rate of order volume for FoodPanda surged in Q1, 2020 when the outbreak was most serious in Hong Kong, and peaked to around 28.4% in February, and 48.6% in March. Compared to its biggest competitor Deliveroo, Foodpanda sustained its momentum after the easing of the lockdown.
\n\n\n\nIn the most recent months, both Deliveroo and Ubereats are showing sluggish downtrend after the peak month; Interestingly, Foodpanda was the only one who didn’t fall back to where they were before the pandemic.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/09/Food-Delivery-Order-Volume-Growth-in-Hong-Kong-1600x1000.png\")
2) Deliveroo in delimma: Different Story in Each market
\n\n\n\nAfter over 4 years of efforts, Hong Kong is now one of Deliveroo’s biggest markets in Asia Pacific. It started with a leading 57% of the market share in May 2019. After that, Hong Kong suffered continuous protests and unexpected clashes when streets and malls would have to be closed sometimes.
According to our previous report on Hong Kong Television Network (HKEX: 1137), Hong Kong’s very own e-commerce website, people in Hong Kong still preferred the old-fashioned way of shopping in brick and mortar stores despite the turmoil. The situation for food delivery was almost similar, the order volume of the three food delivery companies didn’t see any significant increase until the Covid-19 happened.
However, when people are locked at homes, preferences are shown. Deliveroo and Foodpanda used to share almost similar order volume over the past 9 months, but Foodpanda quickly took off in February. In March 2020, both experienced a surge in growth rate, but Deliveroo soon lost the uptrend and started to drop in April, followed by courier’s strike for new pay policy and users’ boycott.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/02/Food-Delivery-Order-Index-in-Hong-Kong_2021update-1600x1000.png\")
In the same month, Deliveroo announced its exit in Taiwan market. It started with around 4% of market share in May 2019, but have been suffering from dropping until its exit. In Singapore, currently Deliveroo remains small, but with a steady growth trend. In most recent month, the growth rate is over 50%, although still after Foodpanda.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/06/Food-Delivery-Order-Volume-Growth-in-Singapore-1-1600x1000.png\")
3) Order Comes with the LockDown
\n\n\n\nFood delivery orders increase when the pandemic situation is worsening. Take Singapore as an example, different from what we have seen from the Hong Kong and Taiwan’s order volume chart, it had some volume growth in March, but the peak only happened in April and May, when Singapore’s situation got worse and literally started its lockdown.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2021/02/Food-Delivery-Order-Index-in-Taiwan_2021update-1-1600x1000.png\")
When the new lifestyle of the social distancing situation remains as it is, alternative ways of getting food in safer ways also emerged, for example, demands for online groceries shopping or prepared meal kits are also growing.
\n\n\n\nSome companies are already doing that, by offering more types of merchandise to deliver other than just orders from restaurants.
The food delivery war in different markets will still be going on with various situations to deal with. Measurable AI will keep publishing the researches on this particular industry. Stay tuned!
\n\n\n\nRead The Roller Coaster Goes On: Food-Delivery Companies in Asia (II)
\n\n\n\nTalk to us for for more interesting datasets on food-delivery industry.
\n\n\n\nABOUT US
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology. Charlie writes stories in trends in the tech industry, with Measurable AI’ real-time transactional data panel.
\n\n\n\nYou can reach her at charlie@measurable.ai
\n\n\n\nMeasurable AI provides actionable consumer insights based on billions of alternative data for emerging markets.
\n\n\n\n*The Content is for informational purposes only, you should not construe any such information or other material as investment advice
Last month, Hong Kong Television Network (HKEX: 1137), the city’s very own e-commerce platform sets records in monthly turnover. The name although sounds strange to others is actually a rising business in Hong Kong. The company’s original plan was to start a television network but failed to get a legitimate license under Hong Kong’s complicated political environment.
\n\n\n\nIn 2018, the company decided to focus on being an online shopping platform, and now it’s become one of the biggest in Hong Kong.
\n\n\n\nAccording to Measurable AI’s datasets for online shoppers’ e-receipts, the company is breaking record every month since January, when the pandemic just started. In February, its monthly sales was up by over 40%, and then went up again by 10% in March.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/04/0423-HKTVMallSales_01_Inline.png\")
Since June 2019, people in Hong Kong have been living with continuous protests and police responses. Streets and malls would be closed sometimes for unexpected clashes. Specific retail store chains got attacked from time to time as a target for their Pro-Beijing stance. None of these ever stopped people in Hong Kong from going out to shop and buy stuff for themselves until recently.
\n\n\n\nCovid-19 has literally changed people’s digital habits in this city where people are so used to live on top of mega shopping malls and restaurants all over the places.
\n\n\n\nAccording to Measurable AI’s datasets, the number of orders per month also shows clearly how people are transforming online. In February, the number of orders surged instantly.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/04/0423-HKTVMallSales_02B_Inline.png\")
Another reason behind the boom is the company’s swift actions during the crisis. CEO Wong purchased a mask manufacturing machine at his own expense to cope with the mask shortage in the city. The company has also opened more O2O stores very quickly during recent months for people to pick up and shop near their neighborhood.
\n\n\n\nWith the boycott of Pro-Beijing companies or services from China like JD or Taobao going on in Hong Kong, HKTV Mall has successfully won first place in Hong Kong within only 2 years of time.
\n\n\n\nWhen digital habits as mobile payments and online-shopping first spread like wildfire in China, cities like Hong Kong or Singapore seemed a bit slow. And people blamed their sophisticated city lifestyle for it. However, this time the change in people’s digital habits happened quickly and rapidly.
\n\n\n\nThe question is how long will it last?
\n\n\n\nAbout Us
\n\n\n\nMeasurable AI provides actionable consumer insights based on billions of alternative data for emerging markets. By scanning and identifying billions actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology. Charlie specialises in trends and insights for the tech industry, with MAI Insights’ real-time online consumer data panel. You can reach her at charlie@measurable.ai
*The Content is for informational purposes only, you should not construe any such information or other material as investment advice
\n
Repost : Bloomberg.com
\n\n\n\nAuthor: Lulu Yilun Chen and Bei Hu
\n\n\n\nBefore the coronavirus sent stock markets tumbling at the fastest pace since the 2008 financial crisis, Dymon Asia Capital (Singapore) Pte sensed trouble.
\n\n\n\nThe hedge fund firm was combining information on past outbreaks with a raft of so-called alternative data, including Google searches in the U.S. and daily readings from China on everything from road congestion to flight schedules and test-kit availability. The numbers convinced Dymon to take short positions against the S&P 500 and an index of Chinese stocks in Hong Kong, trades that would become its biggest money makers in February and March.
\n\n\n\n“It was clear the market was under-pricing the impact of Covid-19,” Danny Yong, Dymon’s chief investment officer, said in an interview. The firm’s flagship $2 billion Dymon Asia Macro Fund has climbed about 40% this year.
\n\n\n\nWhile investors like Yong have been using alternative data for years, the coronavirus has prompted a fresh surge in demand for off-the-beaten-path statistics that might shed light on the pandemic’s impact on economies and markets. Interest in Chinese data has been particularly strong as money managers try to get an early read on efforts to contain the virus and reboot the world’s second-largest economy.
\n\n\n\n“After the outbreak, we saw a spike in demand for data to show what was really happening in China,” said Hong Kong-based Heatherm Huang, co-founder of Measurable AI, a company that tracks business receipts sent via its email-aggregator service. “Now, investors want to know how fast Chinese companies and the economy can recover.”
\n\n\n\nRead Full Original Story on
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Covid-19 has been the reason for sales boost in many unexpected categories like meal kits, video games and even toilet paper. On one hand, brick and mortar businesses are suffering from drops and lock-downs. On the other hand, challenging times create opportunities for industries that we never imagined before.
\n\n\n\nThis is not an April Fool’s joke.
\n\n\n\nAccording to Measurable AI’s datasets for transactional email receipts, people are hoarding items like anti-virus softwares for their computers. Sales from Anti-virus softwares on BestBuy (NYSE: BBY)’s website increased rapidly in recent months with the spread of the pandemic.
\n\n\n\nTotal sales from anti-virus softwares on BestBuy from January to March is up around 30% year over year. Across the whole last year, sales of these items only saw growth during Black Friday, and January used to be an off-season for being right after the holiday season.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/04/0401-BestBuyAntiVirus_01_Inline.png\")
According to Measurable AI’s data dashboard, top products that people are buying from BestBuy in this category are Trend Micro Internet Security (TYO: 4704) and Webroot Internet Security (TSE: OTEX). The former one from Trend Micro made up around 50% of the total sales in the recent three months. As shown on BestBuy’s website, both of the two items are on sale, the former is USD50 off and the latter USD 20 off right now.
\n\n\n\nIs this panic buying? Or is it just a necessary increase when people have to work from their personal computers to deal with corporate stuff that needs protection? As the home quarantine continues worldwide, our shopping behaviour is also changing upside down.
\n\n\n\nContact us if you want to learn more about Measurable AI’s consumer insights or transactional datasets.
\n\n\n\nAbout Us
\n\n\n\nMeasurable AI provides actionable consumer insights based on billions of alternative data for emerging markets. By scanning and identifying billions actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology. Charlie specialises in trends and insights for the tech industry, with MAI Insights’ real-time online consumer data panel. You can reach her at charlie@measurable.ai
*The Content is for informational purposes only, you should not construe any such information or other material as investment advice
\n
The “infamous” strategy simulation game Plague Inc gets viral again with the spread of the Coronavirus pandemic. Launched in 2012, the game attracts users with its unique and terrifying theme, yet engages players on public health topics. It’s educational, fun and infectious.
According to Measurable AI’s datasets for transactional email receipts, the Plague Inc app saw a surge in popularity in China during the virus outbreak until February 26 when it was removed from China’s App Store. The developer published a statement saying that it was banned for “includes content that is illegal in China as determined by the Cyberspace Administration of China”. The app was still available on the Steam Store for a few days but was soon removed early this week.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/03/0306-PlagueInc_Inline-A1-1.png\")
Before it was banned, the game had a steep increase in Chinese players.
The following graph based on our data panel shows the sales trend of the title in China’s App Store. The app costs around RMB 6 in China on Apple’s app store and its sales peaked in January during which the outbreak was happening.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/03/0306-PlagueInc_Inline-A2.png\")
Users’ goal of this game is to infect the whole world with its disease and strategy. To help users experience the plague in hundreds of possible traits, the game offers several choices of in-app-purchase items. According to Measurable AI’s data dashboard, top grossing items include Plague Pack which costs around RMB88 (RMB73 with promotion), and RMB 50 to unlock all genes.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/03/0306-PlagueInc_Inline-B.png\")
Soon after the original Plague Inc disappeared in China, a copycat from Russia called “Cure for Plague” (Translated from its Chinese title) went live. With similar features as the Plague Inc, the app changes the concept of the game to be curing other than infecting. It offers a weekly subscription of RMB 98 to just unlock the ad-free version, which is quite expensive. Chinese users of Plague Inc have been furious and kept leaving 1 star reviews for this game. As of today the app is rated 2.5 on the App Store in China.
\n\n\n\nAbout Us
\n\n\n\nMeasurable AI provides actionable consumer insights based on billions of alternative data for emerging markets. By scanning and identifying billions actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology. Charlie specialises in trends and insights for the tech industry, with MAI Insights’ real-time online consumer data panel. You can reach her at charlie@measurable.ai
*The Content is for informational purposes only, you should not construe any such information or other material as investment advice
\n\n\n\n\n\n
Happy 2020! 2019 is definitely a huge year for mobile apps and games, with 120 billion downloads all across the globe from both Apple App Store and Google Play, a 5% increase from last year. Thousands of mobile apps benefit from the growth and here are the top 10 games that pulled in the most.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/01/mai_2019-top-10-highest-grossing-mobile-game-1024x576.jpg\")
The No.1 game “Fate/Grand Order” might not sound familiar to many of you, but it is definitely a phenomenon in East Asian countries including Japan, China and Korea. The Japanese game was inspired by the well-loved PC game “Fate/Stay Night” and launched back in 2015. Having continuously grabbed the top spots of the highest grossing ranking in the Japanese App Store, a.k.a. one of the largest app markets in terms of revenue, it is not surprising to the industry that FGO would peak the yearly international chart, defeating strong competitors like the all-time classic Candy Crush Saga.
\n\n\n\nOverall, Japanese games are doing an extraordinary job with 3 other titles “Monster Strike”, “Lineage M”, and “Dragon Ball Z Dokkan Battle” within the top 10.
Mega-hits like “Candy Crush Saga” and “Pokemon Go” continue to slay with ever-growing popularity and user loyalty, while games like “Clash of Clans” and “PUBG Mobile” develop “Battle Pass” mode to encourage consumer spending.
Chinese representative “Honour of Kings” succeeds with large user population and constant expansion to the overseas market through its international version “Arena of Valor”, collaborating with DC characters like Batman, Joker and Wonder Woman. Meanwhile, “Fantasy Westworld Journey” focuses mainly on the local market with its average user spending being 10 times that of “Honour of Kings”.
\n\n\n\nThough not on the list, beloved titles such as “Fortnite” and newbie “Call of Duty: Mobile” also score high with 1.8 and 1.16 billion cross-platform revenue respectively.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2020/01/CaseStudy_01A-1-1024x725.png\")
As e-commerce behemoth like Amazon offers almost everything people can get in a brick-and-mortar store, traditional retailers struggled to find their way. This year, Forever 21, Walgreens, GameStop, Gap and other retail chains have announced nearly 9,000 store closings.
\n\n\n\nLuckily some of them responded fast enough to recover lost ground. Target and Best Buy are definitely two of the most traditionally popular “Black Friday” stores where people would flock to get good deals. This year, instead of just stacking super cheap TVs and toys in stores, the two retailers are offering various ways for people to shop now, such as ordering online and picking up by themselves or getting deliveries directly.
\n\n\n\nSales data during the holiday season, especially on Black Friday was a vital indicator of retailers’ revenue performance. Now that more traditional retailers are shifting online, dataset for traditional retailers’ online store sales can also help us with revenue forecasting.
\n\n\n\nAccording to Measurable AI’s email transactional data panel, online sales of Target and Best Buy have both seen peaks during the holiday season throughout the past two years.
\n\n\n\nThe average monthly online sales of Best Buy during holiday has risen dramatically this year. Another player Target experienced a more steady and healthy growth, whose peak month sales number is up by 20% YOY.
\n\n\n\nTo sum up, the uptrend of sales for both companies from 2018 to 2019 is obvious amid the downturn for most other traditional retailer peers. Online store sales data has also become a very important indicator when evaluating a traditional retailer.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/12/Screenshot-2019-12-12-at-3.46.37-PM-1024x668.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/12/Screenshot-2019-12-12-at-3.47.03-PM-1024x668.png\")
About MAI Insights
\n\n\n\nMeasurable AI turns billions of transactional emails into consumer insights for emerging markets.
Charlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology. Charlie specializes in trends and insights for the App Industry, with MAI Insights’ real-time online consumer data panel. You can reach her at charlie@measurable.ai
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Disney launches its own video streaming service Disney+ on 12 Nov 2019, recording over 10 million subscriptions on the very first day. How is it performing after its first month of release?
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/12/Screenshot-2019-12-12-at-3.33.42-PM-1024x833.png\")
Stock price of Disney on Nasdaq skyrocketed the day after the launch and continued to have a generally good performance throughout November until now. Netflix, in contrast, took a deep dive since 12 Nov while the price of it remained unstable. The comparison reflects the market’s worry on Netflix being hit right in the face by Disney+’s outstanding results, but is the newcomer really that powerful?
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/12/unnamed-4-1.png\")
Disney+’s sales volume and subscriber numbers fall right after its launching peak, at a level significantly lower than Netflix, as shown by Measurable AI’s data. Hence, it isn’t fair to judge the services’ future performances just by the first few weeks’ numbers, especially when the dominant player is well-known for its extremely high retention rate ever since it entered the market.
\n\n\n\nDisney undoubtedly owns a huge library of classic franchises, including but definitely not limited to the Star Wars series, the Marvel Cinematic Universe and the enormous collection of Disney and Pixar cartoons. If you are a loyal fan or a parent of 2, Disney+’s family-friendly content might just be a perfect fit for you. But if you are an adult audience looking for something fun and exciting to watch over the weekends, then Netflix’s constantly-updating titles of self-produced dramas and variety shows might be more attractive to you. The two streaming services may seem to be in a head-on competition, but they are in fact very different in terms of their genres of content.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/12/Disney-Plus-costs.jpg\")
The substantially lower price set by Disney+ is another advantage of the new player against Netflix. Disney is providing its streaming services at $6.99 per month and $69.99 per year, while users can also choose to join the bundle program, paying $12.99 per month for Disney+, Hulu and ESPN+. Many afraid that such competitive price might turn Netflix’s sales at risk.
\n\n\n\nHowever, the difference in attitudes towards advertisement between the 2 providers is also worth looking at. Experts predict, from the experience of Hulu, Disney+ might start inserting ads into its videos after the launching phase, creating unwanted disruption into audiences’ watching experiences, in contrast to Netflix’s no-ad policy. Also, price increase might be another option for Disney once its service got stabilized and expanded.
\n\n\n\nHence, even though Disney+ is growing strong, especially with the Disney’s aggressive acquisitions all over the entertainment industry, Netflix isn’t slowing down as well. Since they are targeting audiences at two ends of a spectrum, we can estimate that Netflix’s existing users would not easily migrate to Disney+ just for its content or price. Let’s keep our eyes on how the two streaming giant will do in the future with MAI’s authentic consumer data.
\n\n\n\nAbout Measurable AI
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying billions of actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
\n
“Pokemon Masters”, the new Pokemon mobile game developed by DeNA, has reported a significant drop in revenue after its outstanding launch in August. Reportedly, the game captured $33 million revenue in its first month, beating other Pokemon games such as “Pokemon Quest” and “Pokemon Duel”. Just as everyone’s anticipating that the newbie can be the next money-making machine after its predecessor “Pokemon Go”, unexpectedly huge decline of income is observed in the months after.
Pokemon Masters’ number of paying users has been sliding since the second week of its launch, according to Measurable AI. The drop is probably resulted from the end of the game’s short-lived launching heat, which further draws the paying user trend to its bottom at the end of September. With fewer people purchasing in the game, sales of it decreases correspondingly.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/11/screenshot-28.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/11/unnamed-3.png\")
Unlike Pokemon Go, Pokemon Masters is an RPG game requiring players to walk through the game’s pre-set story. Players can form teams of 3 to battle with each other, earn xp with extra training sessions and upgrade pokemons with tools and virtual coins. Compared with how straightforward Pokemon Go is, Pokemon Masters is much harder to play, with insufficient instructions provided. The game’s high difficulty might be the reason why users are giving up on it.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/11/YFpqnTnNrUAh4cw_screenshot01-1024x592.png\")
Regarding to MAI’s data, around 20% of Pokemon Masters’ players are also fans of Pokemon Go, while only around 3% of paying users in the older game also join the new one. The data reflects how Pokemon Masters attracts mainly loyal Pokemon fans instead of true new players to the series of Pokemon games. The key to the game’s success is whether it can retain those fans and grow its number of newly absorbed players.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/11/screenshot-30.png\")
Since the game is not as mature as Pokemon Go, MAI believes that it will continue to create new game modes to attract fans. In the meantime, the game might reconstruct its current content so as to improve players’ comprehensibility. On the other hand, Nintendo recently announces its cooperation with Tencent’s Timi Studio on developing another Pokemon game, very likely on the mobile platform. Let’s wait and see if Pokemon Masters and the upcoming game can do as well as the all-time Pokemon classic.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/11/new-pokemon-game-is-being-developed-by-tencent.jpg\")
About Measurable AI
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying billions of actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
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Spotify has drawn huge attention since its release of the third-quarter financial report with flying numbers and seen its stock price rallying by 19% during the day.
\n\n\n\nThe monthly active users grew to 248 million by 30 %, and subscribers increased by 31% to 113 million. Podcast hours increased 39% and 14% of all monthly active users listen to podcasts on the streaming service. The company reported a revenue of 1.73 billion EUR(+28%) and a gross profit of 441 million EUR(+29%).
Given the company’s history of hurdling around the edge of loss, the outcome of the third quarter is sure to be a happy surprise——the result outperformed everyone’s expectations, including the company itself.
\n\n\n\nAccording to Measurable AI, Spotify’s monthly retention rate is pretty stable in the past Q3, which is around 80%. In the long term, its quarterly purchase retention is also very high. On average, 72% of its subscribers remain three months after subscribing from 2018 Q3 to 2019 Q3.
Compared to other players in the music streaming industry, Spotify for now is still the best in customer retention. As Measurable AI’s data dashboard shows, Amazon Music owns the lowest retention. Less than 30% of the users are still paying for the service three months later.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/11/screenshot-2-1024x444.png\")
In the US domestic market, Pandora’s user base number is now only one quarter to the size of its Swedish rival. However, the two platforms share a similar high retention rate in the US, with Spotify owning a slightly higher rate this year as of Oct 1.
It’s hard to imagine that such a leader in the streaming music industry with over 100 million paying users had barely made profits despite its monthly subscription fee is much higher than Pandora and Amazon Music.
Measurable AI’s data shows that the most purchased item from Pandora users is the Pandora Plus which is priced at $4.99. While the top 3 items on Spotify cost so much higher as $12.99 and $7.99. Compared to Amazon Music’s monthly fee of $10.99 and Apple Music’s $9.99, Spotify currently offers the most expensive streaming music service for its paying users.
The music industry has a large base of audiences with increasingly various demands and the streaming business has transited from a transaction-based model to an access-based model. Several major players are partitioning the market, including Spotify, Apple Music, Pandora, Amazon Music and so on.
Spotify’s revenue mostly comes from two parts, advertisement support which accounts for about 10% of the total revenue and the 90% contributor——premium subscribers. But the gross margin of 11%-20% is relatively thin compared to 30%-40% for video streaming platforms like Netflix, mainly due to the high content cost. With so many competitors on the market, Spotify needs to figure ways to better transform its large pool of users to profits.
Hopefully, the company seems to have found the correct path——podcast. It has poured 400-500 million EUR into acquiring podcast companies like Gimlet, Parcast, and Anchor this year. The new function has extended the content of what people are interested in hearing besides music and has been given hope to attract more paying users.
\n\n\n\nSo far, the strategy has worked surprisingly well and as mentioned by the management, investment in podcasts is a strong explanation for the added subscribers. However, the company is still working on the data to prove causality, not just correlation. The optimistic intuition led to the company’s CFO saying that “Streaming was to Netflix as podcasting is to Spotify”.
\n\n\n\nAbout Measurable AI
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying billions of actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nMatilda Wang is a blog writer with background in finance and e-commerce industries. She loves to explore the market insights with data-driven stories with the help of Measurabale AI’ real-time alternative data.
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After its release of the Q3 Financial Report in mid October, which discloses the company’s higher-than-estimates income, Netflix’s stock price has uproared to its recent peak on Oct 17. Unfortunately, the rise doesn’t last long. The stock falls back to 266.69USD within 5 days and is still fluctuating at around 280USD currently.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/10/Screenshot-2019-10-30-at-6.37.35-PM-1024x518.png\")
Netflix has recorded an income of $5.24 billion in 2019 Q3, with around an around 31% of year-over-year increase. The news is indeed encouraging for Netflix’s investors, though the subscribing number of the streaming service might not be as exciting.
Following its first-ever drop in local subscriber numbers in Q2 (see MAI for more), Netflix only records a growth of 500,000 paid net additions in the US this quarter, far less than the 800,000 estimation. Internationally, it has observed an increase in paid net adds of 6.3 million.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/10/apple-podría-comprar-netflix-o-disney.png\")
MAI’s data also shows that the retention rate of Netflix paying users has dropped slightly to under 80%, probably results from the price hike earlier this year. The slowing down of the growth of subscribers is particularly worrying as the streaming giant might face even more tense competition with upcoming launches of Disney +, Apple + and HBO Max.
\n\n\n\nDespite the potential challenges ahead, Netflix is planning to get their hands on a larger audience share by a more affordable plan. Since July, the streamer has launched a more affordable plan (around 2.8 USD per month) in India, which provides customers with access to Netflix’s programs in 480P on one screen. The $2.8 plan will be extended to more regions including Malaysia in the short term. Netflix’s strategy targeting a broader audience base might help in absorbing more international users when its local market is going weak.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/10/Screenshot-2019-10-30-at-8.17.33-PM-1024x495.png\")
Also, admitted by Chief Product Officer Greg Peters, Netflix is planning to regulate the account-sharing behaviors of its members. Rumours says that the streaming platform might only allow the sharing of accounts within one IP address in the future. Would this force its fans to register their own paying accounts, or would it further reduce its number of subscribers which is already experiencing a slow growth? MAI will continue to follow Netflix’s latest trend for you.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/10/we-share-a-01tmuf.jpg\")
About Measurable AI
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying billions of actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
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Well-loved game series Call of Duty has just launched its mobile version in regions like the US, Europe, India and Latin America. The classic first-version shooter game records more than 100 million downloads within its first week, surpassing PUBG Mobile (28 million) and Fortnite (22.5 million). Can COD also beat the two battle-royale mega-hits in terms of revenue?
Like PUBG and Fortnite, before being released on mobile, the Call of Duty series started as console games and has gathered a huge and loyal fan base since then. The mobile version of it was co-developed by Tencent and Activision Blizzard, launched on 1 Oct.
Though the game is not exactly the same as it was. This mobile edition includes the traditional multiplayer and zombie mode, as well as the brand new battle-royale mode. Tencent also put in the fortune-making PUBG “battle pass” feature, attempting to make a killing through COD again.
![\"\"/](\"https://lh3.googleusercontent.com/0TWZUnLDjjDs6_v4dKpzWKQPN2VvBNHlphwYKYcD6Uzk5UwppMeYM4y9NmnOrmIkQo7vOMwr6gMsY4Dl8dWqucv0TC_fb__aOTd1SBPA9a8N2uAjmXWIAae4e6SI5j9wKcJy7YOo\")
According to reports, Call of Duty brought in around 9 million within its first week in App Store, surpassing Fortnite’s 2.3 million and PUBG’s 0.6 million. COD’s Paying Users Trend Index has exceeded its rivals’ for 3 consecutive weeks since launch, according to Measurable AI’s dashboard. The latest release has also outperformed Fortnite in terms of sales volume.
![\"\"/](\"https://lh4.googleusercontent.com/-ENbiPt_drM7mGs5nj55IYwxiRlaHJy44caM6xDqNmTewHVJs0EcSFtd7QUVPwTo-_7hIQZX496RSlc8FFyNDNEQW1ayVRJ6tjhIX5xN1PK0Ja1iVuJuQCHcQQKuTUBepvIN1U6B\")
However, it is uncertain whether the new champion can maintain its crown for long as Call of Duty is still far behind its competitors in terms of its average order value and paying user spend. MAI shows that each of the game’s paying user have only spent around $17USD in the game, significantly lower than Fortnite’s $24 and PUBG’s $53. The sudden and immense growth in sales volume and paying users might be a temporary effect caused by the game’s effective promotions at its launch.
![\"\"/](\"https://lh3.googleusercontent.com/KBLo9VRYGUu1eAfysQZ4qXowPVA9Kge-WFHj8bsMBZw8oWomagQpUnKgZMpq8g1ozi2818gKX2WizTLk7cwY34vo4oitRHFvQyCZuLShGD2G0r04uyDYbUGzVpVrlinc7GDNL8kh\")
Nevertheless, Measurable AI believes that Call of Duty will continue to do well and remain as a top-tier mobile games with the support of its loyal fans accumulated since the console game era. Also, Tencent has already borrowed its money-earning tactics from PUBG, such as the Battle Pass feature, to bring in more money through the new game. Any innovative breakthrough in game modes would be an essential key to the even-brighter future development of COD.
\n\n\n\nAbout Measurable AI
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying billions of actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
\n
Social media giant Facebook (Nasdaq: FB) finally enters the game of dating app. Earlier this month, Facebook has launched in the United States its very own dating service “Facebook Dating”. Leading dating service provider Match Group (Nasdaq: MTCH), owner of Tinder and Hinge, records a major drop in stock price since Sep 6, the day after the launch. Can the latecomer really turn the table on the industry leader?
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/10/Screenshot-2019-09-25-at-6.16.21-PM-1024x403.png\")
“Facebook Dating” is available as a new tab within the original Facebook app. Hence, existing Facebook users do not have to download a new application nor to pay a single penny to enjoy the new service.
The huge user base Facebook already got is one of its greatest strengths. Facebook executives mentioned that the platform currently has over 200 million users who are identified as single. Even just a tiny percentage of those members join the newly started service, Facebook Dating might get ahead of Tinder in a short time.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/10/use-tinder-without-facebook-994x400.jpg\")
Facebook also claims that it will find the perfect match for you, given the enormous amount of data it has gathered on every user’s feed. Interested users are required to set up a separate Dating Profile to start the service. You can also choose to remove friends of friends in the list of potential matches to avoid awkwardness, which appears to be surprisingly common on Tinder.
Another great thing about Facebook which Tinder fails to do, is the “Secret Crush” feature. Users on Facebook Dating can mark their Facebook friends as Secret Crush, and when the other person also does that to you, you two are matched. What a trouble-free way to secretly confess to your long-time crush, I mean, who doesn’t ever have a crush on your schoolmates or friends?
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/10/toalltheboysivelovedbefore.gif\")
Facebook is also integrating its another popular social platform Instagram, which is enjoyed by many teenagers. The comprehensive combination of various social media and a useful dating service may be more appealing to young people than a simple dating app like Tinder.
Recently, report shows that Tinder’s engagement rate is dropping. Also from Measurable AI, we might see Tinder’s number of paying users drops since the week (Week 37) Facebook launches Facebook Dating. Many say that Tinder and Match.com is facing the biggest challenge ever.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/10/screenshot-10.png\")
Meanwhile, despite the shrinking number of paying users, Tinder’s sales is still going strong with its high average user spend. According to MAI’s Sales Trend Index, the total in-app purchase revenue of Tinder increased in September after the slight slip in August. From the table, we can see that Tinder’s average user spend is two times its company-mate Hinge, indicating how it still leads the industry in terms of income.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/10/screenshot-11.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/10/screenshot-12.png\")
Tinder is also trying very hard to maintain its leadership by introducing new features like the brand-new interactive video show “Swipe Night”. Measurable AI believes that the beloved dating app will not lose its crown to Facebook yet, provided the firm foundation of it. Investors do not have to worry too much for Match group in short term.
\n\n\n\nAbout Measurable AI
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying billions of actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
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In the year of 2019, Netflix has to watch the arrival of Apple TV Plus, Disney Plus, WarnerMedia and more similar services, following its first biggest drop in subscriber number and stock.
\n\n\n\nIt might be a good thing though, for almost every company that has contents to offer has officially joined the game. It’s finally clear for us to see how this competition would go.
\n\n\n\nEvery time there is a new live-streaming service launch, they’re coming after Netflix with a cheaper package. In August, Disney announced a $6.99/month package or a $12.99 bundle for Disney+, Hulu, and ESPN+. Soon after, Apple decided to offer its own live-streaming subscription for only $4.99/month, and free for users who purchase new Apple products. Not alone to say Amazon’s Prime Video is already cheaper than Netflix for $10/month. The fact that Netflix just raised its membership price to $12.99 in April this year made it look really bad in this game.
\n\n\n\nHowever, even though the 2-dollar-raise did have Netflix lose some US customers, it’s still one of the fastest-growing players in this space. According to Measurable AI’s data dashboard, Netflix’s user retention in the US has been very steady compared to other peers, even after years.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/09/screenshot-1-1024x503.png\")
If Netflix can keep this retention rate as it goes, it still can win this game. After all, a long-term retention rate sounds much stronger than a short-term rise in subscribers due to price promotion. But how will its competitors’ retention rate look like? Will users stay for the price or the contents? Let’s keep looking.
\n\n\n\nAbout MAI Insights
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights based on alternative data. By scanning and identifying billions actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology. Charlie specializes in trends and insights for the App Industry, with MAI Insights’ real-time online consumer data panel. You can reach her at charlie@measurable.ai
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The augmented reality game Pokemon Go recently brings the animation’s villain Team Rocket to its mobile app. The evil enemy “invades” Pokestops in the game, where Pokemon trainers can battle with the team and win to get newly added Shadow Pokemon. The new game mode boosts Pokemon Go’s sales to be the highest over the past 3 years since September 2016.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/09/team-rocket.jpg\")
This is the fourth highest-earning month of Pokemon Go. Not only does Team Rocket add to the game exciting battle elements, but it also attracts both old and new players to engage in a new round of Pokemon collecting with the range of Shadow Pokemon.
Gathering new Pokemon implies the need for acquiring new items from shop. Measurable AI records a grow in the game’s retention rate in August, indicating a larger number of paying users re-purchased the virtual currency “Pokecoins” last month. Team Rocket has successfully promoted sales for the 3-year-old game.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/09/screenshot-2.png\")
Given that Pokemon Go was first launched in 2016, its growth of paying users is relatively stable, shown by Measurable AI’s data. However, according to the IAP report, the most popular items in the game are still the cheapest ones. In other words, Pokemon Go has to find new ways, something like Team Rocket, to encourage players to invest more in order to further elevate its sales revenue.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/09/screenshot-3.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/09/Screenshot-2019-09-19-at-6.19.26-PM-1024x476.png\")
Meanwhile, the latest title under the Pokemon franchise, “Pokemon Masters”, is freshly launched last week and having a good start. The new game has just recorded a 20 million USD first week sales. Let’s see if both Pokemon games can continue to go strong.
\n\n\n\nAbout Measurable AI
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying billions of actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
\n
On September 10, Apple Inc. (Nasdaq: AAPL) in its annual launch event unveiled a whole range of new products, including iPhone 11, Pro and Pro Max, Apple Arcade, new iPad and Apple Watch models. Apple TV+’s latest details were also disclosed at the occasion.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/09/Apple_Keynote-Event_Tim-Cook_091019_big.jpg.large_2x-1024x664.jpg\")
Apple’s stock price rose and dropped sharply during the first half of the event. The price then gradually climbed to its 2019 peak, 216.28 USD, through the second half of the presentation, reflecting the market’s positive expectations to the new launches.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/09/Screenshot-2019-09-11-at-12.40.14-PM.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/09/Screenshot-2019-09-11-at-12.48.11-PM.png\")
The most eye-catching release this year is definitely iPhone 11, Pro and Pro Max. iPhone 11 is the better, updated version of the previous iPhone XR, equipped with ultra-wide angle lenses and a dual-camera system, supporting the highest quality photography modes. iPhone 11 has also got the powerful A13 Bionic chip and a longer battery life. The phone comes in 6 colours and is priced from 699 to 849 USD (for 64, 128 and 256GB respectively).
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/09/Screenshot-2019-09-11-at-4.14.52-PM-1024x913.png\")
iPhone 11 Pro and Pro Max are geared up with all features available in iPhone 11, but further upgraded with three cameras, a Super Retina XDR monitor and an even longer battery-life. Both iPhone 11 Pro and Pro Max are available in 4 colours, with starting prices 999 and 1099 USD respectively.
As much as people’s anticipation towards the new iPhone, many have complained about the design of it, especially the arrangement of 3 rear cameras. It is still in doubt whether the heavily criticised appearance would still be appealing to the company’s loyal fans.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/09/Screenshot-2019-09-11-at-4.58.12-PM-1024x709.png\")
Apple also disclosed the brand new Apple Arcade gaming subscription, officially launching on September 19. The monthly plan costs 4.99 USD and provides games from top tier game developers like Konami and CAPCOM. Yesterday’s event also showed sneak peaks of Apple TV’s self-produced dramas including “See” and “The Morning Show”.
Many believe the upcoming subscription services would open up a new stream of revenue for Apple. Measurable AI will continue to look closely at various video-streaming service providers such as Apple TV+, Netflix, Disney Plus with real consumer data, and generate the latest market insights.
About Measurable AI
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying billions of actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
\n
Since major player Panda TV gone bankrupt in March, the Chinese gaming broadcast industry was left with Huya (Nasdaq: HUYA) and Douyu (Nasdaq: DOYU) competing neck and neck. In July this year, Douyu got listed on Nasdaq and revealed in its Q2 report that the company is catching up with Huya’s 56 million MAU with its new 50 million record. But then, can the newbie Douyu also catch up with Huya, the first ever gaming live-stream stock, in terms of stock prices?
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/09/Screenshot-2019-09-09-at-9.18.05-PM.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/09/Screenshot-2019-09-09-at-9.18.39-PM.png\")
Huya and Douyu are popular live-stream platforms in China focusing on gaming broadcasts, available on both web and mobile. The pair of rivals strive for viewers by snatching exclusive streaming rights of tournaments and the nation’s hottest gamers.
The major portions of their income come from in-app purchases (IAP), where users obtain in-app currencies to buy virtual gifts for their favourite streamers. Both companies are backed by Chinese tech giant Tencent.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/09/Screenshot-2019-09-09-at-9.29.11-PM-1024x729.png\")
As disclosed by their financial reports, Huya’s got a revenue of 2 billion with 170 million of net profit recorded. This is the 7th consecutive quarter Huya has recorded profit in. While Douyu has got a 1.8 billion revenue with 20 million of net profit, falling way behind Huya.
Similarly, from Measurable AI’s data, we can see that Huya has always led Douyu in IAP revenue over the first half of 2019, while having a significantly smaller amount of paying users than Douyu.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/09/Screenshot-2019-09-09-at-9.15.03-PM-1024x496.png\")
Huya’s much higher average paying user spend contributes to this seemingly interesting phenomenon. MAI’s data below shows us that Huya’s paying users spend 3 times more than Douyu’s on average.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/09/Screenshot-2019-09-09-at-9.37.35-PM-1024x269.png\")
With Huya stably growing revenue and high user spend, we can definitely expect a positive prospect on the company, while Douyu might have to work a little harder to catch up with its big brother’s pace. Stay tuned for a detailed report comparing business strategies of Huya and Douyu.
\n\n\n\nAbout Measurable AI
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying billions of actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
\n
Dating app is now the mainstream way to meet new partners, and they are not just for hook-ups. Paid dating apps Match.com and Zoosk are known for their effectiveness in searching for stable relationships. Let’s see how they work and how they earn, with real consumer data.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/08/bumble-dating.jpg\")
Match.com is one of the very first dating sites available online. Launched in 1995 first on website, then joined the dating app trend since 2010. The app has the same swiping mechanism as newer players like Tinder and Bumble, while users can also explore new matches from the “Discover” tab.
What draws the line between Match.com and other dating apps would be the plentiful online or even offline events provided. Quick games are in-app to stimulate closer relationships and “Stir Events”, i.e. offline meetups in group, are offered so that users can socialise in person.
The free version of Match.com does not allow users to message others, which makes it almost compulsory for members to pay so as to actually enjoy the app. After the free one-month trial, you can choose to engage in an 1, 3, 6 or 12-month subscription. The longer you’ve decided to commit in the app, the less you have to pay. Users are guaranteed to get at least one match within the first six months of subscription, if not, a free half-year subscription will be offered.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/08/match-com-1024x791.jpg\")
Zoosk is a relatively younger brand launched in 2007 with a neat and easy-to-use user interface. No long questionnaires has to be filled in during registration, as the app would learn your preferences through your in-app behaviour. It works slightly different from big competitors like Tinder. Users “like” instead of “swipe”, “liking” with a smiley face indicates your wish to become friends with the profile, while “liking” with a heart means you’re interested in the opponent as a potential romantic partner. Zoosk also provides canned pick-up lines for those who are not used to the online dating scenarios, which are quite handy according to actual users.
Similar to Match.com, you must pay to use Zoosk’s messaging function, i.e. the essential part of a dating app. 1, 3 and 6-month memberships are offered (again, longer the time, cheaper the price). Beware that even if you are subscribed as a paid user on Zoosk, it doesn’t mean that you can contact as many members as you wish. The quotas for messages are capped and Zoosk coins are required to unlock more. The in-app currency can also buy you extra functions such as “Boosts” and virtual gifts for potential matches.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/08/zoosk.jpeg\")
Ideally, the paid membership of Zoosk and Match.com would attract a higher proportion of users who are seriously looking for a long-term relationship. Unfortunately, problems of fake, spam and inactive accounts still exist on these platforms (especially on Zoosk where the verification process is relatively simple).
\n\n\n\nThe almost-compulsory paid mechanisms, on the other hand, boost the applications’ income effectively. Both Match.com and Zoosk have been staying within the top 20th spots on American app store’s top grossing chart continuously, with relatively less users when compared with major competitors, as shown by Measurable AI.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/08/Screenshot-2019-08-08-at-2.34.45-PM.png\")
Both Zoosk and Match.com acquire such grossing ability with the help of their exceptionally high average order value. According to MAI’s data, Match.com and Zoosk both have an AOV of over $40, while Tinder has only got around $15.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/08/Screenshot-2019-08-08-at-2.47.35-PM.png\")
The two paid services have a higher average order value as the majority of their orders are pricey membership subscriptions. MAI shows us that in Zoosk and Match.com, at least half of all orders belong to membership subscriptions, priced at $29.99 or above.
For freemium dating apps like Tinder, even without joining as a member, users can still enjoy the app like everyone else and decide whether to purchase extra functions for better experiences at their own choices. Hence, Tinder’s in-app purchases are distributed more evenly among special features (e.g. Boost, Super Likes) and membership subscriptions (Tinder Gold). As these little features are usually marked at a lower price, the average order value of the app inevitably shrinks. Tinder’s flexible pricing system gives users’ more freedom, and fortunately it still brings in more than the other two thanks to its large user base.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/08/Screenshot-2019-08-08-at-3.04.52-PM.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/08/Screenshot-2019-08-08-at-3.05.25-PM.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/08/Screenshot-2019-08-08-at-3.05.54-PM.png\")
For those trying to find a stable relationship online, try Match.com and Zoosk. Their subscription plans did screen out some not-so-proper accounts and provide helpful contents. However, make sure the plans are what you’ve been looking for before committing time and money, as withdrawing and getting your money back half way is not easy. Good luck finding your other half!
\n\n\n\nAbout Measurable AI
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying over 20 Billion actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
\n
On 17th July, Netflix issued its second quarter financial statement, announcing an increase in international subscribers of 2.83 million. The number turns out to be much lower than the market’s expectation, 4.81 million, and last year’s record, 4.58 million. What’s even more alarming, is the historic drop of paying user count in the US. Out of everyone’s expectation, Netflix recorded a decline of 130 thousand subscribers within Q2. The company’s stock fell for 12% on the announcement day, due to the disappointing reports.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/07/netflix-sign-1-1024x620.jpg\")
According to the data from Measurable AI, Netflix indeed had a significant drop in performance lately. From the start of 2019, the title’s retention rate has remained stable at around 80%, indicating that most users consistently subscribed to their video streaming plans. In June, however, Netflix’s retention rate fell significantly to around 70%. The sudden decline caught everyone off guard.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/07/netflix_retention-en.png\")
Referring to the data provided by Measurable AI, Netflix’s number of subscribers was climbing up gradually since 2015, while its stock prices show a similar curve.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/07/Screenshot-2019-07-22-at-12.06.41-PM.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/07/Screenshot-2019-07-22-at-4.01.06-PM-1024x849.png\")
Netflix officially claimed that the poor performance has no correlation with its competitors. But many still believe that Netflix’s price increase, which led to users shifting to other video services, should be accountable for the downfall of user counts. In January this year, Netflix announced a raise in price, marking up the cost of its basic plan from 8USD to 9USD, standard plan from 11USD to 13USD, and premium plan from 14USD to 16USD.
While Netflix was lifting up its price, its major local competitor Hulu announced in February that its basic plan (with advertisements) would be priced at 5.99USD instead of 7.99USD, further expanding its price gap with Netflix. According to Measurable AI, Hulu’s number of paying users has been ascending since 2019, probably resulting from the broadening gap between the prices of the two companies.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/07/Screenshot-2019-07-22-at-11.56.38-AM.png\")
Besides the change of price, Netflix is also facing the threat of losing valuable contents. Disney, the entertainment giant, has taken full control of Hulu earlier this year and was constantly updating news on its newly-built platform Disney+ to be launched towards the end of the year. In order to counteract Netflix and promote its own platforms, Disney has terminated cooperation with Netflix. In other words, Netflix could no longer include any Disney contents on its streaming platform. Other broadcasters and studios such as Warner Bros, BBC, ITV also showed their intentions to establish their own streaming services, indicating that their previous productions would not be available on Netflix in the near future.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/07/1541963567785-1024x576.jpg\")
Although Netflix seems to be surrounded by a bunch of unfavourable news, it still has great potential. The company expects a recovery of performance in Q3 with its strongest “weapon”, self-produced dramas. Latest seasons of the studio’s most-discussed series such as “Stranger Things”, “Crown”, and “Orange Is The New Black” are going to be broadcasted within these few months, attracting old users to join Netflix again.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/07/stranger-things-3-poster-horizontal-by-kyle-lambert-1024x456.jpg\")
Netflix is also paying huge effort in exploring new markets and cultivating new sources of income. Recently, the company announced a mobile device-only subscription plan in India with an exceptionally low price (around 3.5USD), so as to increase its portion of market shares.
In the coming Autumn, another tech giant Apple is planning to launch its own video streaming platform Apple TV+. Besides exclusive contents, there will also be cross-over projects such as “Snoopy in Space” produced jointly by SNOOPY and NASA. Will Netflix continue to be the leader of video streaming services? Or will the above competitors become a potential threat for Netflix? Measurable AI will continue catching up with the latest news of these video streaming industry.
About Measurable AI
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying over 20 Billion actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
Cara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
According to reports, Brawl Stars, the latest game launched by Supercell, has surpassed Clash of Clans to become the highest-grossing game in 2019 Q1 under the game developer label. Brawl Stars has become one of the signature products of Supercell as soon as its launch in December 2018, with stably increasing popularity and revenue. Currently, the cumulative grossings of the game has already exceeded 275 million USD, with more than 100 million downloads.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/07/brawl-stars_banner-1024x683.jpg\")
Measurable AI has issued a blog post in May about Brawl Stars, analysing the game’s potential to outperform its labelmates. As stated in that previous record, the revenue gap between Brawl Stars and Supercell’s two other classic games, Clash of Clans and Clash Royale, was gradually shrinking since the global launch of the new title. In line with the old findings and referring to the latest data also by Measurable AI, we could see that in June, the average paying user spend of Brawl Stars was $20.08, 45% higher than the $11.03 of Clash of Clans. As a newbie which has been launched for just 6 months, this is quite an impressive number.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/07/Screenshot-2019-07-02-at-5.58.31-PM.png\")
Brawl Star’s rapid growth rate is more or less related to its advantage of being part of the Supercell family. The Supercell team not only ensures the game’s high quality, but also helps Brawl Stars to absorb loyal fans from the label’s classics. According to MAI, among all paying users of Brawl Stars, 4.92% and 6.56% also play enthusiastically in Clash of Clans and Clash Royale.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/07/Screenshot-2019-07-02-at-6.14.17-PM.png\")
Also, with the drop of grossings since 2017, Supercell has high hopes on this new game. The label spent a huge sum to promote the game through advertisements in app store, social media, Youtube videos, billboards, and even pre-movie ad sections in theatres, in order to boost the game’s publicity.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/07/WechatIMG3.jpeg\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/07/85qyx6yg6iv21-1024x768.jpg\")
With Supercell’s substantial support and the game’s unique charm, Brawl Stars’ instant fame seems to be logical. Another interesting point worth noting, is the game being loved by an unexpectedly large number of Korean players. Among the total revenue of Brawl Stars, 21% was from the US, while 19% was from Korea. Also, since its launch last year, the game has never fallen out of the Korean app store’s top 10 game list. Brawl Stars’ fan base in Korea is huge, and it’s definitely a good news for Supercell.
Even though Brawl Stars has already surpassed Clash of Clans in terms of its grossings in 2019 Q1, the overall performance of it still requires improvements so that the game can become the 3rd billion-dollar title under Supercell. From MAI’s data, the current average order value (AOV) of Brawl Stars is $9.43, the lowest among all 3 flagship games of Supercell. To ensure sustainable revenue, the game must try to lift up its AOV.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/07/Screenshot-2019-07-03-at-1.08.07-PM.png\")
Brawl Stars would probably continue to grow with a promising prospect of expansion. Although the title has already been launched globally last year, it is still not available in the Chinese app store due to various regulatory issues. The game’s Chinese fans therefore have to play on the international server, which unfortunately seems to have caused some disappointing gaming experiences. The good news is that Tencent has announced earlier this year the forthcoming official introduction of the game into the Chinese market. With a bunch of players already queuing up to jump in, the Chinese version of Brawl Stars should be able to bring in a great sum of revenue once it is out, leading the game’s way to becoming the next billion-game of Supercell.
\n\n\n\nAbout MAI Insights
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying over 20 Billion actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
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Zepeto is a socializing application designed by a Korean photography app SNOW. With its fascinating character customization feature, the app became an overnight heat in China last year in December. Unfortunately, the craze does not last long. Following the international version of Zepeto being removed from the Chinese app store, the app’s revenue and number of active users went downhill sharply. Even when the localization version “Zaizai (崽崽)” was released soon after the removal to absorb original users, there were no signs of recovery.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/06/48275760_2113479178673417_7654727105636204544_n_4526924595c0f67fee4efe-1024x505-1024x505.jpg\")
Despite being described by its developer as a social networking platform, the most appealing part of the app, according to online comments, is its character customization feature.
\n\n\n\nCharacter customization has long been one of the most popular game genres in the Asian community. Similar to the preparation phrase in The Sims, the feature allows players to design the appearance of their own characters. From brow shapes to hairstyles to outfits, players can decide every detail of their characters.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/06/Screenshot-2019-06-27-at-2.24.19-PM-1024x640.png\")
As the function gives full control to players over the creation of characters, they can employ the exact same image they have in mind to the game, no matter if it is their crush, top singer, or an embellished version of themselves. Playing with a one-of-a-kind character tailor-made to their own demands enhances players’ engagement.
\n\n\n\nTo register a new account, players have to upload a picture of themselves. The app will then create a 3D cartoon character just for you. Of course, you can further adjust the character however you wish.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/06/zepetooo-768x427.png\")
After furnishing the characters, users can make use of the socializing platform to take pictures with friends. Photos from your phone can be uploaded as the picture’s backgrounds while your lovely characters can pose for you.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/06/90c072db62f90415f871d0d0e69328ce-768x1024.jpg\")
What makes Zepeto different, is that players can design more than just the character’s look. Almost all visual elements, including the character’s unique greeting gestures and interior design of its virtual room, can be decided upon players’ wishes.
\n\n\n\nAlso, players never have to worry about getting bored. The range of products in Zepeto is huge. Countless cute outfits. Crossover “wallpapers” and “furniture” with popular cartoons. 100+ greeting hand gestures. These are just part of the collection.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/06/IMG_6023-473x1024.png\")
Zepeto earns money through users’ purchases of items. Each player gets around 2000 coins once they first enter the game while most items in the app requires around 1000 coins. Hence, it is a must for players to buy coins with money so as to upgrade their costumes.
\n\n\n\nAccording to MAI Intelligence, in December 2018 when the app was at its peak, the average paying user spend was $4.14, while the sales of “19900 Coins” has contributed 37.57% of the total revenue earned. Such large amount of “coins” can be used to buy quite a lot of items in Zepeto’s shop. Besides purchasing with real money, the in-app currency can also be earned by watching ads and playing little games.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/06/Screenshot-2019-06-26-at-5.55.24-PM.png\")
Unfortunately, Zepeto did not stay on top of the list for very long. Since its removal from the Chinese app store in January 2019 (existing users can still use the app normally), the retention rate for in-app purchases fell sharply to 2.27% as referred to MAI’s data.
Even when the Chinese team released a localized version “Zaizai (崽崽)” in February, the app was far less discussed and loved by users compared to Zepeto in last December, despite the huge effort put in developing region-based features such as the collaboration with Douyin (Chinese version of “TikTok”).
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/06/Screenshot-2019-06-20-at-1.10.42-PM-507x1024.png\")
Zepeto’s rapid fall is not uncommon for this particular game genre. In fact, many character customization games that used to be viral failed to maintain their positions due to the nature of them. Besides the creation of characters at the start of the game, a lot of these games have no additional features that can attract users to stay any further. As a result, the number of active users of these apps would decline significantly after a month or two.
Zepeto clearly recognizes its own weakness. The app has further developed its socializing function after re-launching in China. The app now provides a group chat feature that links strangers together by labels and themes such as “Primary Students” and “Cosplay”. This also shows that the target users of Zepeto are mainly the millennials.
However, it is also worth noting that the younger generation normally has a lower financial ability, and that would become a hindrance to the revenue prospect of Zepeto. Referring to MAI’s data, average order value of the app was only $2.34 even during its peak in last December, almost 50% lower than the $4.43 of Tantan (探探), another Chinese app specialized in socializing platform for strangers.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/06/Screenshot-2019-06-20-at-1.09.36-PM-1024x487.png\")
Can Zepeto shake off the character-customization spell and prolong its lifespan? It may depend on whether the app can include more fun-to-play features, such as multi-player little games that can take care of the users’ socializing needs. Zepeto should focus on developing a group of loyal users and exploring new revenue streams, in order to continue its once-immense popularity.
\n\n\n\nAbout MAI Insights
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying over 20 Billion actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
\n
Casual billiard game 8 Ball Pool has continuously been one of the top grossers among mobile games, earning hundreds of millions for its developer Miniclip. Let us look into some actual consumer data and see what makes this online ball pool game so addictive to players all around the globe.
\n\n\n\nAccording to MAI intelligence, the game manages to hold on to a large number of paying users compared with other casual titles. With its $20-above average user spending, the total amount of sales accumulated is impressive.
\n\n\n\nThe super-easy game runs on in-app currencies, Pool Coins and Pool Cash. Players have to pay a compulsory entry fee through Pool Coins to join a tournament game, a large sum of coins would be gifted if they win. The currencies can be earned without paying (25 coins every hour, or watch short ads to earn additionally), or be bought through real money. Both Coins and Cash can be used to buy equipment such as cues and table frames. As shown in MAI’s statistics, “Stack of Coins” is the second-most popular item, while the top of the list belongs to “Golden Spin”, a lucky spin with prizes of good value.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/06/Screenshot-2019-06-10-at-2.52.45-PM.png\")
The app brought variations to the ordinary billiard game. The ranking and award systems encourage players to continue playing in return for more and better rewards. The “Play with Friends” mode allows players to enjoy the game while socializing. These new features make 8 Ball Pool one of the best kill-time games. The more effort and time the players have invested, the more willing they are to compromise real money for an upgrade in gaming experiences.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/06/8-ball-pool-apk-990x557.jpg\")
According to MAI’s data, the game has the largest fan base in the US and Brazil in terms of paying users. Users from the two countries are accounted for 44.97% and 10.07% of total in-app purchase sales respectively. However, it seems that the game is not as popular in Asia, with Malaysia and Taiwan as the only 2 Asian regions placed in the top 10 fan bases.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/06/Screenshot-2019-06-10-at-5.30.42-PM.png\")
About MAI Insights
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying over 20 Billion actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
\n
On the tenth birthday of Minecraft, Microsoft announced that the classic sandbox game has surpassed Tetris as the best-selling video game of all time with more than 176 million copies sold. Since its launch in 2011, Minecraft: Pocket Edition has been staying at the top of iTunes paid app rank consistently. Unlike current hits Fortnite and PUBG which allure players by intense excitement, Minecraft let players explore and build their own worlds as however they wish. The unique charm has gained the game loyal players and countless revenue.
\n\n\n\nAccording to MAI intelligence, revenue of the game has remained stable and high throughout the second half of 2018. In fact, 2018 is the most profitable year for the sandbox title with more than 110 million earnings worldwide.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/Screenshot-2019-05-28-at-5.58.24-PM.png\")
One major source of the 110 million revenue belongs to the initial purchase price of the app. Different from the current mobile business trend of attracting new players by free entry and earning money through in-app purchases, players have to first pay $6.99 to download the game from App Store or Google Play Store. Considering the group of passionate players already gathered by its PC version, it might be a smart move for Minecraft to ensure its minimum income.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/Screenshot-2019-05-29-at-2.57.13-PM.png\")
Besides the initial purchase price, constant updates of resources also keep its users active. According to MAI intelligence, the most purchased items on the game are Minecraft Store Item 2 and 6, accounting for 24.3% and 20.6% of the total sales respectively. Items in Minecraft store provide materials such as equipments and textures for players to customize their maps and survive, adding extra fun to the game.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/Screenshot-2019-05-29-at-10.38.14-AM.png\")
Minecraft also utilises its multiple-platform benefit to boost revenue. Referring to MAI’s data, the game’s Realms Monthly Subscription plans account for over 30% of sales in total. Realms are private servers that allow players to invite friends to their own maps, so that players across different platforms can join up and play together. The cross-play feature, alongside with the private arena for friends, further engages players to participate in the game.
\n\n\n\nWith the success of the original Minecraft game, Microsoft announced an augmented reality version Minecraft Earth launching later this year. Let’s see if the new variation of the game can further expand the Minecraft empire and once again captivate both old and new players!
\n\n\n\nAbout MAI Insights
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying over 20 Billion actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
\n
From the most-discussed dramas to award-winning movies, Netflix seems to be dominating the video streaming industry with its extraordinary content. However, this does not automatically make Netflix the industry leader. Its closest American rival Hulu is also growing strong and definitely worth looking into.
\n\n\n\nCurrently, Hulu is only available in the United States and Japan. According to MAI intelligence, although Netflix has a much higher revenue with its global penetration, Hulu’s average paying user spend is consistently higher than that of Netflix throughout the years, indicating the potential of the US-focused streaming service.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/Screenshot-2019-05-30-at-11.42.33-AM.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/Screenshot-2019-05-30-at-11.45.02-AM.png\")
Content-wise, Hulu provides numerous programs such as dramas and movies just like Netflix. But while Netflix invests a high proportion of costs on its self-produced dramas, Hulu specializes in TV contents. With its connections to television channels NBC, FOX and ABC, the streaming platform stores the most up-to-date range of TV programs. Some of the shows’ newest episodes can even be found on Hulu as soon as the day after being aired in cable TV. Besides replaying television programs, Hulu also provides a live TV option for users to stream programs live on mobile devices. Although Hulu might not be able to compete with Netflix in terms of the quantity of content, further cooperations with cable channels might help absorbing the demand of TV lovers.
\n\n\n\nAnother biggest strength of Hulu would be its affordable price. Since February 2019, the price of Hulu’s starting plan cuts from $7.99 to $5.99, broadening the gap with Netflix’s basic $8.99 plan. According to MAI intelligence, the $5.99 plan is the most popular item within Hulu, accounting for 34.9% of all orders. This shows us how the market longs for cheaper video streaming options. Hulu might therefore target customers with smaller budgets and provide multi-screens plan as an even better bargain.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/Screenshot-2019-05-30-at-1.43.08-PM-e1559207026271.png\")
Also, as Hulu is only available in the US and Japan at the moment, a business expansion to nearby regions might be another way to gain more exposure for the platform. As shown in MAI’s data, Netflix’s paying users are quite evenly distributed among different regions outside the US. Hulu might choose to expand in countries where the video streaming leader has not rooted in that much, such as Southeast Asian countries Thailand and Vietnam.
\n\n\n\nWith Disney taking full control of Hulu in May 2019, we may expect more exclusive Disney content on the platform including the well-loved Marvel series. The new content from the giant studio might better-equipped Hulu in its war against Netflix.
\n\n\n\nAbout MAI Insights
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying over 20 Billion actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
\n
Battle royale games PUBG Mobile and Fortnite both gained enormous popularity among global players and earned billions of dollars for their developers, Tencent and Epic Games. The pair of rivals have been competing for the top position on the game grossing rank. Let’s check out their battlefields with actual consumer data.
\n\n\n\nAfter surpassing Fortnite for the first time ever in January 2019, PUBG remained as one of the biggest competitors of the Epic Games title. According to consumer insights company MAI intelligence, PUBG’s revenue started to escalate since August 2018 after launching new feature “Royale Pass”, while Fortnite’s revenue was slowly declining after the 2018 peak.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/Screenshot-2019-05-28-at-1.58.57-PM.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/Screenshot-2019-05-28-at-11.08.33-AM.png\")
PUBG’s primary weapon, “Royale Pass”, is a reward system deprived from the trendy purchasing mode “Battle Pass”, adopted in various well-known games such as “Dota 2” and “League of Legends”. Being assigned a “Royale Pass” each, all players, regardless if they have paid or not, can enjoy the full gaming experience and fight for rewards. Only when the rewards are unlocked, players would have to decide whether to purchase and actually obtain the rewards. Consequently, many players choose not to waste their effort and pay for the unlocked rewards.
\n\n\n\nAlthough PUBG’s revenue was slowly catching up with Fortnite with the help of “Royale Pass”, Fortnite’s slight slip of revenue did not last long as shown by MAI intelligence. After the holiday season hangover and with the launch of season 8, revenue of the top-grossing mobile game rebounded in February. PUBG still has a long way to catch up with.
\n\n\n\nAdditionally, the average user spending gap between the two games is significant, contributing to Fortnite’s leading position. According toMAI intelligence, on average, each paying user on Fortnite spends $73.33 in the game, while PUBG’s paying users only spends $59.79 each.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/Screenshot-2019-05-23-at-11.17.54-AM-1024x342.png\")
In order to stand out, PUBG might consider further developing its Asian markets. According to MAI intelligence, the two games specializes in different regions. Fortnite reigns in the US and various European countries such as Spain and France, while PUBG predominates a number of Asian countries such as Malaysia and Japan. It is worth noting that the Tencent game has been removed and replaced by “Game For Peace” in China, one of its biggest markets, to comply with the government regulations. The new game is expected to bring sums of revenue to its producer substituting PUBG.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/Screenshot-2019-05-23-at-11.46.07-AM.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/Screenshot-2019-05-23-at-11.47.33-AM.png\")
Besides regional expansion, collaborations by PUBG with “Resident Evil” and “Godzilla”, have also proven their worth by the huge popularity among players. More crossover projects of this kind would be effective in helping to attract new players.
\n\n\n\nAbout MAI Insights
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying over 20 Billion actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
\n
Pandora is one of the first music streaming app of its kind, even though it’s not that noted as its European peer Spotify or bigger player Apple Music in recent years.
\n\n\n\nIts business is actually doing very well with the solid subscription model. In fact, Pandora is one of the top 10 grossing apps in the world in 2018, despite the fact that it’s only available in the US. According to MAI Intelligence, its performance in the first quarter this year is also quite outstanding.
\n\n\n\nCurrently, Pandora offers two types of paid service: Pandora Plus which costs $4.99 per month and Pandora Premium which costs $12.99 per month (on Android it’s $9.99). According to MAI Intelligence, more users chose the Pandora Plus plan, as 64.1% of its paying users are subscribers of Plus.
\n\n\n\nAs a subscription app, Pandora’s retention rate has been relatively stable, from Jan 1 2018 to May 1, 2019. The monthly retention rate of Pandora paying user could be as high as 72.41%, and the average purchase return period for its Pandora Plus subscription is 40.73 days.
\n\n\n\nAnother reason for Pandora’s stable success might be its loyalty to the App Stores. Unlike its peer Spotify who asks users to pay for subscription within its own account system from its own web page, Pandora has been quite loyal to Apple and Google. Users can only pay through Apple’s App Store or Google Play’s account, even though the company would lost a cut of its revenues.
\n\n\n\nAs to features, Pandora now offers both music and podcasts contents, unlimited replay and the ability to search and play any song.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/Screenshot-2019-05-21-at-6.33.01-PM-1-1024x375.png\")
About MAI Insights
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying over 20 Billion actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology. Charlie specializes in trends and insights for the App Industry, with MAI Insights’ real-time online consumer data panel. You can reach her at charlie@measurable.ai
\n
Brawl Stars, the latest mobile battling game produced by the maker of classic games Clash of Clans and Clash Royale, is growing fast. It has ranked 10th on the top-grossing game list on iOS in January 2019 just 2 months after its official launch with more than $50 million of earnings.
\n\n\n\nThe fast-paced, easy-to-play multiplayer arena fighter game was first released in Canada app store in June 2017, then officially launched in December 2018 globally with almost 10 million downloads in its first week. The game manages to attract players with intense excitement, excellent graphics and engaging game modes. Supercell’s new game seems to be going strong, but can it replace its fellows and become the next big hit of the studio?
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/supercellgames.jpg\")
According to consumer insights company MAI intelligence, there is still a gap between the revenue gained by Brawl Stars and the two other Supercell games Clash of Clans and Clash Royale. However, the gap is gradually reducing after the official launch of Brawl Stars in December 2018.
\n\n\n\nAlso referring to the MAI intelligence data, the most sold items in the game is Level 5 Packs, contributing to 16.8% of all items sold. The pack is a special item with 5 times worth of goodies, unlocked once the player reaches level 5, and can only be bought within limited time after being unlocked, making the pack extremely attractive to players.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/Screenshot-2019-05-07-at-5.47.53-PM-1-1024x525.png\")
However, the game’s most profitable in-app purchase is not Level 5 Packs but 2000 Gems, the priciest item available in the game, costing players $99.99 for one and contributing to 31.4% of all IAP revenue. Gems in the game can be used to purchase other items such as skins of characters and event tickets. This bulk purchase of 2000 gems at once can get players 20 gems per dollar, making it the best deal among all gems package.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/Screenshot-2019-05-08-at-1.44.26-PM-1024x525.png\")
Although it seems that Brawl Stars has yet to come close to defeating its predecessors, the potential development ahead of the new game is definitely worth our attention. Let’s see if the upcoming launch of new features can help boost the gains of the game.
\n\n\n\nAbout MAI Insights
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying over 20 Billion actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
\n\n\n\nFor more interesting insights, start the FREE trial at https://measurable.ai/register
\n
As mental health is becoming one of the greatest global concerns, mindfulness apps have since grown to be increasingly popular. Dozens of apps join in this emerging trend to provide plenty of meditation materials on and offline, trying to get their shares in this fast-expanding business. Among all types of mindfulness apps, Calm is able to take the lead and surpassed its biggest rival, Headspace.
\n\n\n\nAs of May 2019, Calm has generated over $125 million of user spendings while Headspace has only $102 million, despite the fact that Headspace actually predates Calm.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/imgonline-com-ua-twotoone-FBAvAqf6f6CApx8.jpg\")
According to consumer insights company MAI intelligence, the United States is the biggest market for both apps, with 43.33% and 46.81% of all paying users of Calm and Headspace respectively. In other parts of the world, France closely follows by having 13.33% and 17.02% of total paying users of the apps. Both apps continue to expand their businesses by localizing existing materials into different languages. Currently, Calm is available in English, German and Spanish, while Headspace is available only in English and German.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/Screenshot-2019-05-08-at-5.41.07-PM-1024x239.png\")
The two apps share different pricing strategies as well. Calm currently provides two subscription options, a $59.99 annual plan and a $399.99 life-long plan. For Headspace, unlike Calm, it provides a $12.99 monthly plan, a $94.99 annual plan and a $19.99 monthly family plan, which is a bit more expensive than its peer.
\n\n\n\nAs shown in the data from MAI Insights, most users in both apps chose the more flexible options – the plans with shorter subscription periods. The top 3 most purchased items in Calm are all $59.99 annual plans, contributing 65.7% of all purchases. While for Headspace, the most purchased item is the $12.99 monthly plan which contributes to 89.7% of all purchases.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/Screenshot-2019-05-08-at-5.56.25-PM-e1557384703242-1024x448.png\")
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/05/Screenshot-2019-05-08-at-5.51.32-PM-e1557384608762-1024x362.png\")
While Headspace focuses exclusively on meditation, Calm provides a larger variety of materials including screen backgrounds, relaxing music, master classes and body programs, catering different needs of users.
\n\n\n\nAbout MAI Insights
\n\n\n\nMeasurable AI is your data powerhouse that provides accurate, real-time and actionable consumer insights. By scanning and identifying over 20 Billion actual online spender’s email receipts, Measurable AI transforms them into valuable consumer insights, which updates daily right after the purchases happen.
\n\n\n\nCara Lui is a blog-writer specializing in analytical industry trends and new discoveries of Mobile Apps with the assistance of the MAI Insights’ real-time online consumer data panel.
\n\n\n\nFor more insights, start the FREE trial at https://measurable.ai/register
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According to consumer insights company MAI Intelligence, Playrix has grossed more than $1 billion from its popular puzzle games Gardenscapes and its spin-off Homescapes. The two games are a combination of match-3 puzzle game like CandyCrush and a home building storyline. It was first launched in 2017 September, but saw rapid growth since then.
\n\n\n\nEven though its new storyline and addictive setup attracted more new users, the originator of this type of puzzle game CandyCrush did not see any downtrend on revenues.
\n\n\n\nAccording to MAI intelligence, the average money spent on both apps still have a gap. The three most popular candy crush games enjoy averagely over USD $48.5 from per player. However, the two from Playrix only grossed around USD $20.5 from each user.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/04/Screen-Shot-2019-04-30-at-4.38.45-PM-1024x270.png\")
Similar to CandyCrush, which launched more other similar games like Candy Crush Jelly Saga, Candy Crush Soda Saga along with its original game, Gardenscapes also has its spin-off Homescape.
\n\n\n\nAnd data shows us that, among Gardenscapes players, around 52.94% of them also play and pay for Homescapes. On download numbers, the latter one also owns around 2 times the number the original Gardenscapes does.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/04/Screen-Shot-2019-04-30-at-5.30.06-PM-1024x192.png\")
About Charlie’s App Insights
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology.
\n\n\n\nCharlie specializes in trends and insights in the App Industry, with MAI Insights’ real-time online consumer data panel. Measurable AI collects over 20 billion anonymous data points from actual online shoppers all over the world. You can reach her at charlie@measurable.ai
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Dating app Bumble has recently become Tinder’s biggest rival and claimed to reach 50 million users around the world. From launching a new “spotlight” feature to publishing a relationship-themed print magazine, the Texas-based startup is exploiting every possible way to attract and engage its users on- and offline.
However, it still has a long way to go as to locking its users in its very own app.
Statistics from Consumer Insights Intelligence Measurable AI shows, from March 1 in 2018 to March 1 in 2019, approximately 56% of Bumble’s paying users also make purchases on its competitor Tinder. On the contrary, about 12% of Tinder’s paying users buy items on Bumble. The LA-based company apparently has built a relatively more loyal user base than Bumble does.
![\"\"/](\"https://lh5.googleusercontent.com/QY3kGyioL6V5iKF90i1ydibMltp3lGbnLRjxPHAKEhP7mADH4MK-M7m7ahcMkugoewcex7WEgQ3fUXhCoCJewodSPRXGdes39K3VaKyCkmP8yeGmFKLHqlW69IYmrktfUySAhMmY\")
In addition, according to Measurable AI, Bumble’s paying users spend $37.7 on average over the same period of time, less than that of Tinder with $62. What’s worth noticing is, after the number of Tinder’s paying users plummeted in October 2018, Bumble’s average user spend surpassed Tinder for the first time in December 2018, and the second time happened in February 2019. The gap of how much each user is willing to spend on the app has been reduced for the past few months.
Just like Tinder, Bumble provides a few paid features for users to promote their profiles and increase the match. The weekly auto-renewal subscription named “Bumble Boost” turns to be the best-selling item, and it makes up 41.6% of all the in-app purchases and 37.1% of the sales worldwide.
Bumble has been focused on its U.S. market, with 85.71% of its paying users coming from the states, Measurable AI demonstrates. They also occupy 88.17% of its global in-app purchase revenue. French users take up 5.71% of its global user base, ranking the No.2 paying user group.
Tinder’s users, on the other hand, are somewhat distributed more evenly. While the U.S. contributes to 40.54% of paying users and 32.79% of in-app purchase revenue, French, Brazil, and Japan play important roles in acquiring paying users and making profits as well.
For more insights, start the FREE trial at https://mailti.me/register.
After almost 7 years of glory on the App Store, Supercell’s biggest success Clash of Clans still gets the magic to make the players fun. Just as it is in the economic world, the more money and time players invest in the game, the harder it is for them to exit.
Players of the Clash of Clans are still very loyal to the game, according to consumer insights intelligence MAI Intelligence, the game’s recent In-App-Purchase revenue just got another boost.
\n\n\n\nThe game just introduced its new game mode called Season Challenges in its most recent update on April 2nd, which is probably borrowed from its sister game Clash Royale. For the Season Challenges, users are offered with a new In-App-Purchase called the Gold Pass, which costs $4.99. This pass allows users to access 30 rewards, 25 Million Gold/Elixir and 250,000 Dark Elixir.
\n\n\n\nSince seasons in Clash of Clans last from the first day of the month to the last day of the month, to get a gold pass early in a month will benefit the players more and for longer. That’s why right after the launch of the Gold Pass, the game already became the top 5 grossing app on iOS in most countries on the same day.
According to MAI Insights, for the past month, Gold Pass has become the second most sold items in the game, contributing 18% of all the items sold. As to revenues, it also contributed around 11.6% of the total revenues for the game, right under the most expensive package “Chest of Gems” that costs USD 99.99.
![\"\"/](\"https://lh5.googleusercontent.com/3Jg867y2xAabm65ok262BzCmtZKVyDOkDb2R8uplHJDeRrXaztPu7GPUNgKXS14jBFFESYyk8YeDeMB8Oy0ClD_Fkui12Ixcp0QWE5w0nYa4p8GCxkW1Rln4owb-_SB1dUixTqYM\")
According to MAI Insights’ latest data, the average paying user spend of Clash of Clans is around $115.43, which is much higher than that of Supercell’s Clash Royale at $73.45.
\n\n\n\nThis number is very impressive, take its biggest rival on mobile games Pokemon Go earns only around $39.02 from per paying user. Supercell keeps upgrading and creating new worlds and modes of the game for the players throughout the past 7 years, and turns out that it’s always working!
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/04/Screen-Shot-2019-04-16-at-10.58.41-AM-1024x555.png\")
About Charlie’s App Insights
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology.
\n\n\n\nCharlie specializes in trends and insights in the App Industry, with MAI Insights’ real-time online consumer data panel. Measurable AI collects over 20 billion anonymous data points from actual online shoppers all over the world. You can reach her at charlie@measurable.ai
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Today we are going to see if the internet myth of Netflix and Chill is true with real consumer data. How exactly do mobile users interact with the two most important apps for entertainment and dating? Let’s take a look.
According to consumer insights intelligence MAI Insights, the user overlap between Netflix and Tinder in the US looks like this. This graph tells us that it’s more like “Chill and Netflix” rather than the opposite. More Tinder users are also subscribers of the video streaming service Netflix. Among all the American Tinder paying users, 11.83% of them also watch Netflix. Among all the Netflix subscribers, only 6.88% of them love to Tinder.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/04/Screenshot-2019-04-09-at-4.38.29-PM-1024x268.png\")
As to the money spent on both apps, Tinder paying users on average spend USD $78.7 on the app, in which 10.1% went to the Tinder Gold membership. The most sold item in the app, which accounted for 16.7% of the total sold IAP items is “the Boost Function” which helps users’ profiles get more users to see and swipe on than usual. The second favorite In-App-Purchase in Tinder is the “Super Likes” which allows users to tell someone that they’re especially interested in them. This IAP accounted for 10.7% of the total sold items.
\n\n\n\nOn the other hand, Netflix users spend on average around USD $ 54.75 over the past 2 years. Even though mobile users seem less loyal to Netflix, the app still grossed more than USD $1.58 billion in revenues on mobile. The user base of the Netflix app is also growing rapidly, which made it one of the top 10 most downloaded apps in 2018.
![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/04/Screenshot-2019-04-09-at-11.05.18-AM-1024x274.png\")
Globally speaking, the
In terms of revenues, Japanese users surprisingly contributed around 11.19% of the total revenues for Tinder throughout the past two years, ranking No.3 after France which contributed 18.52%.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/04/Screenshot-2019-04-10-at-12.47.47-PM-1024x582.png\")
About Charlie’s App Insights
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology.
\n\n\n\nCharlie specializes in trends and insights in the App Industry, with MAI Insights’ real-time online consumer data panel. Measurable AI collects over 20 billion anonymous data points from actual online shoppers all over the world. You can reach her at charlie@measurable.ai
\n\n\n\n
Pokemon Go, Niantic’s augmented reality game which has been downloaded more than 550 million times in total (as of 2019), will be having its 3-year-old birthday very soon in three months.
According to consumer insights intelligence MAI Insights, the app’s accumulated revenues has grown to a whopping USD $2.55 billion.
Though many of the users deleted the app after its first craze in 2016 (when Pokemon Go was the top grossing game in the US store for 74 straight days), the loyal players of the game never left. In fact, they are still playing it a
The game is particularly popular in the US and Japan, a Japanese user averagely pays around $60.37 in the game.
\n\n\n\n![\"\"](\"https://blog.measurable.ai/wp-content/uploads/2019/04/Screenshot-2019-04-08-at-4.53.40-PM-1024x206.png\")
Theoretically, in the Pokemon world, there should be more generations of Pokemons to catch, so in terms of the new contents, this game would never be shy of bringing new stuff to players. According to MAI Insights, Pokemon Go’s revenue peaks depend heavily on its new update and holiday event from time to time.
It is very likely that the game would hit 2.8 Billion on its 3rd anniversary in July, becoming one the most profitable mobile games on iOS.
So, to all Pokemon Trainers, watch out for your Pokemon Coins!
\n\n\n\n\n\n\n\nAbout Charlie’s App Insights
\n\n\n\nCharlie Sheng is a serial female entrepreneur, and a dedicated communicator for technology.
\n\n\n\nCharlie specializes in trends and insights in the App Industry, with MAI Insights‘ real-time online consumer data panel. Measurable AI collects over 20 billion anonymous data points from actual online shoppers all over the world.
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