12 tips on scaling ad spend from a $100 million marketer

Scaling ad spend is HARD. When you find something that works — the right creative, offer, and ad network — you’d hope that scaling ad spend would be as simple as inserting more cash into the coin-op user acquisition machine.

But it’s not that simple. 

What’s super-optimized at niche spend levels generally becomes unprofitable at scaled spend levels. First off, you need to find your unicorn creative that will remain ROI-positive even as you add zeros to your budget, as I learned from Lukas Szanto earlier this year. 

But you also sometimes need to add new channels. 

That’s horizontal scaling as opposed to vertical scaling, or increasing spend with existing partners. Recently, I sat down with Vytis Bareika, founder and CEO of Defined Chase, to talk about scaling. He should know: he’s spent over $100 million on ads and helped mobile games hit over a billion downloads.

Hit play to see our convo, and keep scrolling for the top learnings:

Scaling ad spend: horizontal vs vertical

First up, what does Bareika mean by horizontal and vertical scaling?

When you find an ad network that works, you scale ad spend until it doesn’t. That’s vertical scaling, and for a game or app that monetizes well, it’s an infinite money hack: insert UA capital, get users, make more money, re-insert UA capital.

But at any given ad network, ad spend scales until it doesn’t.

Then you need more fishing poles, and you need to fish in different streams. That’s horizontal scaling.

When you’ve hit a point where increasing budget on Meta or Google doesn’t give better returns, it’s time to diversify: new partners, new formats, and sometimes even new platforms like web or CTV.

All the top ad-scaling tips

What do you need to know when you’re going to scale ad spend? Here’s a good starter list, at least:

Scaling ad spend: 12 tips
1
2
3
4
5
6
7
8
9
10
11
12
1. Know when to start scaling horizontally
Watch for diminishing returns on current channels.

Or, if you prefer to read your tips the old-fashioned way:

  1. Know when to start scaling horizontally
    Watch for diminishing returns on current channels.
  2. Scale horizontally and vertically at the same time
    Keep scaling on your best-performing campaigns on your top channels while also looking for new channels.
  3. Validate new channels for incrementality
    Ensure you’re getting net new users.
  4. Research before testing
    Don’t just test randomly. Check reports like the Singular ROI Index to look for your best options.
  5. Test with meaningful budgets
    Don’t underinvest in tests … for the U.S. you need a minimum of $500/day.
  6. Build a relationship with your ad reps
    They know tips and tricks for their platform, and often those are unpublished. Avoid learning the hard way.
  7. Customize your creative approach for each channel
    TikTok and Google aren’t the same, and everyone knows it. But IG is different too, and Snapchat needs its own approach.
  8. Build a creative testing system
    Don’t just go by your gut. Structure your creative output in multiple dimensions (quantity, angles, offers, etc.) and track each.
  9. Analyze creative performance deeply
    Use AI-powered tools like Creative IQ to deeply understand what’s happening with your ad creative.
  10. Expand your team or tools
    As you scale ad spend, you scale workload. You will need to expand either your toolset or your team, or both.
  11. Consider brand awareness
    Scaling brings advantages, and 1 of them is increased brand awareness. Leverage that for re-engagement, retention, and trust. And note that high-frequency low-CPM ads can help build brand awareness quickly.
  12. Leverage web-to-app funnels
    Even if you’re not taking payments here, take advantage of better tracking and soft closes on the web. And use quiz funnels to warm up users and collect emails before your app is installed.

Smart diversification means testing for incrementality

Choosing the right ad networks and platforms is key, of course. 

But you need to test that they’re incremental before scaling on them. 

That means controlling campaigns, creating differential spend patterns and then looking for matching results, as well as potentially going all-in on hard-core incrementality testing.

The key is finding ad partners that access a new audience. Otherwise you’re just throwing more hooks into the same pond and getting more of the same fish.

Want to go deeper with incrementality testing for scaling ad spend? Check out a detailed step-by-step resource here.

Creative is the key to scaling ad spend

Every marketer knows ad creative is super-critical for positive ROI. That’s especially true when scaling ad spend.

As you test each ad partner for incrementality — try $500 to $1,000 per month to start — also be testing creative. You’re looking for a unicorn creative that is literally 10X better than the alternatives.

Why 10X?

Because as you scale spend on that creative, performance will naturally degrade as your ad partner shows it to more and more people, including some who are just on the fringes of your ideal target audience.

Also, customize each creative element to the platform you’re publishing on.

“Snapchat is different from Google. TikTok is different from Meta. You need dedicated creative per channel,” says Bareika.

Facebook still works great with static ads (check the webinar I just did with a bunch of experts who said that Ye Olde Static Banner Ad is still working, still effective, and still ROI-positive. Unity, AppLovin, and other programmatic networks excel with playables. TikTok and Instagram work well with UGC and AI-enhanced UGC, though each has slightly different preferences due to age range differences as well.

The key learning: don’t reuse one-size-fits-all creatives.

Also, structure your creative efforts.

“Some teams create based on feeling,” says Bareika. “Better teams have systems: how many creatives per week, what angles, what emotions?”

Be a better team. Have a plan. Check in regularly to see that the plan is working … or not. Use a tool like Creative IQ to enlist AI on your side to optimize your creative faster and better than you can alone.

Get nerdy.

Sometimes the most trivial things have big consequences:

“We did AI analysis of thousands of creatives,” says Bareika. “If the character looked left instead of at the user, conversions dropped 20%.”

And don’t forget, if you’re scaling ad spend, your creative production has to scale too. Try different angles based on user psychology: social proof, relaxation, problem-solving, and more. Use generative AI to multiply variations and test faster. Set weekly output goals.

And don’t forget web2app

Web can be cheaper, which is good. It also provides more data, at least than iOS, and that’s also good.

And you can do quiz funnels to really prep potential buyers for your solution.

“With quiz funnels, you make the problem feel bigger,” says Bareika. “By the end, users are ready to solve it.”

Quiz funnels also take advantage of sunk-cost psychology: after 15–20 questions, people feel invested … and they trust you more. A big bonus: you can collect emails or phone numbers even before the install, allowing you to set up for retargeting and lookalike marketing even if they don’t complete the install and sign-up right away.

So much more in the full podcast

Hey, there’s so much more about scaling ad spend profitably in the full podcast. Check it out above, subscribe to our YouTube channel, or get it wherever you get audio podcasts.

What you’ll get:

  • 00:00 Introduction to Growth Masterminds
  • 00:34 The Journey to Managing Massive Ad Budgets
  • 02:10 Understanding Horizontal Scaling
  • 04:40 Strategies for Adding New Partners
  • 07:22 Creative Strategies for Different Channels
  • 09:37 Analyzing User Engagement and Creative Performance
  • 12:09 Hidden Gems in Apple Search
  • 12:38 Singular’s Quarterly Trends Report
  • 13:16 The Importance of Brand Awareness
  • 16:14 Re-engagement Strategies
  • 17:33 Web to App Marketing
  • 23:24 Future Trends in UA Performance Marketing
  • 24:34 Conclusion and Final Thoughts

Top apps in China: what’s hot now?

What are the top apps in China?

It’s obvious that China is a massive mobile market: 1 of the most critical on the planet. With a population of 1.4 billion people, China’s second only to India. And those 1.4 billion people pay for perhaps 1.9 billion cellular subscriptions, almost 20% of the global total. The result is a massive, tech-savvy, and increasingly wealthy population unlike any other nation in the world.

This year, those 1.4 billion people will collectively spend about $3.5 trillion online this year, more than any other country and almost half of global e-commerce spend. And most of that will be on mobile devices, which also support a massive and quickly-growing digital advertising market that could surpass $150 billion this year.

All of that fuels a lot of mobile innovation. And a huge number of mobile app installs.

So what are the top apps in China right now?

2 ways to answer …

There are 2 ways to look at what matters in China’s mobile economy right now.

  1. Everyday stack
    The first is what people are using now: the everyday, must-have apps with hundreds of millions of daily active users. These define the present. These are the apps that, if you visit China, you have to load up on just in order to get around, buy food, and basically exist.
  2. New and hot
    The second is what people are downloading most right now: the new wave of apps that are surging in popularity right now. These signal the next big shift in consumer behavior. They hint at the future.

We’ll start with #1: top apps in China that are part of the everyday stack.

Top apps in China part 1: the everyday stack

The apps people cannot live without in China look very different from those you might use in the United States, or Europe, or South America.

There’s essentially 10 to 14 top apps in China that are almost must-haves. And no, unless you’re Chinese or visit often, you probably haven’t heard of all the top apps in China.

  1. WeChat (Weixin, 微信)
    WeChat is China’s default for messaging, social feeds, bill-splitting, mini-apps, and payments. It’s used at national scale with something like 1.4 billion combined monthly average users.
  2. Alipay (支付宝)
    There’s no total monopoly in China: Alipay is the other half of the daily payments ecosystem: paying in shops, utilities, taxis, and more. Plus, it offers finance and service mini-apps.
  3. Amap / Gaode Map (高德地图)
    This is the go-to for driving, public transit, bike-share, ride-hailing aggregation, and nearby services. It’s widely regarded as the most used maps app with something like 800M+ monthly active users.
  4. Meituan (美团) (with Dianping 大众点评 inside)
    If you’re hungry, you’ll want Meituan. This app is for food delivery, groceries, local services, and restaurant reviews/deals.
  5. Taobao / Tmall (淘宝 / 天猫), JD.com (京东), and Pinduoduo (拼多多)
    When you’re buying a TV or makeup or diapers or a new phone, you’re probably using 1 of these big 3 e-commerce apps for everyday shopping. E-commerce is close to universal behavior online in China as online shopping activity is at almost 90% of the online population.
  6. Didi (滴滴出行)
    Yes, you can get rides and cars in a bunch of different apps, but Didi is the primary ride-hailing app in most cities. Didi delivers 10s of millions of rides every single day, which gives you some sense of its scale in urban life.
  7. 12306 (中国铁路12306)
    Travel by train is extremely important in China, and the official national train-ticketing app processes enormous volumes: hundreds of millions of tickets for some holiday events.
  8. Ctrip / Trip.com (携程)
    Ctrip is a full-stack travel app: everything including hotels, flights, trains, and trip packages or holidays.
  9. Douyin (抖音)
    Need entertainment? This is the Chinese version of TikTok. It’s short-video + search + shopping, and a ton of product discovery, local tips, and entertainment happens here every day. Third-party sources put Douyin at close to 800 million users.
  10. Kuaishou (快手)
    Kuaishou is the other giant short-video platform in China. It’s strong outside top-tier cities and for live-commerce with close to 400 million regular users.
  11. Baidu Maps (百度地图)
    Baidu Maps is an alternative to Amap. It’s tightly connected to Baidu search results and features countless local points of interest.
  12. Weibo (微博)
    Often compared to Twitter years ago but significantly different, Weibo is China’s public square for news, trends, and celebrity chatter.

You’ll almost certainly have most of these top apps in China on your phone if you live in the country or visit frequently. That’s especially true of WeChat and Alipay and Douyin and Weibo, but largely of the others as well.

Why are these top apps in China so popular?

Essentially, because they’re must-haves, not nice-to-haves.

These apps dominate daily life. Mobile payment usage is over 90% in China, so Alipay/WeChat Pay are just how you pay for coffee, taxis, street food, and more. Your social graph from personal to work is probably all in WeChat, plus dozens of other things you do in mini-apps on the platforms, and almost 100% of Chinese people watch online video, so Douyin and Kuaishou almost essential. Plus, they’re not just entertainment apps but also search engines for products and experiences.

Unlike the west, where mobile functionality is largely fragmented (messaging, paying, buying, mapping, ride-hailing, entertainment), in China some super-apps cover dozens if not thousands of daily functions, like payments, shopping, entertainment, and social networking.

This makes user loyalty stronger and competition fiercer

It also makes unseating an incumbent incredibly hard.

Top apps in China part 2: what’s getting downloaded right now

When we look at the top apps in China from a perspective of what’s being downloaded the most right now, a very different picture emerges.

While in the United States for instance games, social apps, and utilities are often high on the list of the most-downloaded apps, in China, AI-powered tools and short dramas are leading the way.

Here’s the most-downloaded apps in China over the past 3 months, based on Apptopia data:

Rank App Category
1 Doubao – ByteDance AI Assistant Productivity
2 Red Fruit Short Dramas Entertainment, Books & Reference
3 UnionPay APP Finance
4 Douyin Mall Shopping
5 Qishui Music – Douyin Music Music
6 JD.com Lifestyle, Shopping
7 Hippo Theater – Short Dramas Entertainment
8 China Mobile (Service Hall) Business, Tool & Utilities
9 Quark Browser – AI Search Tool & Utilities, Productivity
10 Croissant – Photography Community Social
11 Railway 12306 – Train Tickets Travel
12 DeepSeek – AI Assistant Productivity
13 Traffic Management 12123 Tool & Utilities, Lifestyle
14 Xianyu – Alibaba Resale Marketplace Lifestyle, Shopping
15 Tencent Yuanbao – DeepSeek+ AI Assistant Productivity, Tool & Utilities
16 Meituan – Lifestyle Services Travel, Lifestyle
17 KFC China (Official) Lifestyle, Food & Drink
18 Electronic Tax Bureau Finance
19 Taobao – Online Shopping App Lifestyle, Shopping
20 Ele.me – Food Delivery Lifestyle, Food & Drink
21 大麦 – 演出、体育购票平台 Lifestyle, Entertainment
22 Dianping: Discover Good Places Lifestyle, Shopping, Food & Drink
23 AMap Global Maps & Navigation, Lifestyle, Travel
24 国家网络身份认证 Tool & Utilities
25 三角洲行动 Games, Action
26 悟空浏览器-看短剧小说影视 Tool & Utilities
27 醒图 – 拍照&修图&修live神器 Photo & Video
28 BOSS直聘-招聘求职找工作神器 Business, Social
29 百度网盘 Productivity, Lifestyle
30 拼多多 – 多多买菜,百亿补贴 Lifestyle, Shopping
31 1688- B2B Market Business, Shopping
32 剪映 — 视频剪辑&Live实况图编辑 Photo & Video
33 rednote Social, Shopping
34 迅雷-随心搜,放心存,畅快看 Tool & Utilities, Productivity
35 即梦AI – 抖音旗下AI图片和视频工具 Photo & Video, Entertainment
36 WeCom-Work Communication&Tools Business, Tool & Utilities
37 番茄小说 – 热门短剧全本小说电子书阅读器 Entertainment, Books & Reference
38 中国农业银行 Finance
39 bilibili – All Your Fav Videos Photo & Video, Entertainment
40 Alipay – Simplify Your Life Lifestyle, Finance
41 得物 – 得到美好事物 Sports, Lifestyle
42 DiDi: Ride Hailing in China Travel, Lifestyle, Maps & Navigation
43 快手 Social, Photo & Video
44 中国电信-全国统一官方服务平台 Tool & Utilities, Lifestyle
45 中国工商银行 Finance
46 携程旅行-订酒店机票火车票 Travel, Lifestyle
47 58同城-求职招聘找工作租房二手车 Tool & Utilities, Lifestyle
48 去哪儿旅行-订酒店机票火车票 Travel, Lifestyle
49 DingDing – Make It Happen Business, Social, Productivity
50 学信网 Tool & Utilities, Education

Looking at this top list and the top 250 most-downloaded apps in China, 3 major patterns emerge.

  1. Daily life & commerce apps are everywhere
    We see shopping and lifestyle apps like Taobao, JD.com, Douyin Mall, Xianyu resale, Meituan, Ele.me, and the KFC app).
  2. AI assistants & productivity tools are surging
    Chinese people are diving hard into AI assistants and AI-driven productivity apps, making Doubao (ByteDance AI assistant), DeepSeek, Tencent Yuanbao, and Quark AI Browser among the top apps in China.
  3. Utilities, finance, and official apps
    People need core utilities and official apps to pay bills, access government services, and more. They include UnionPay, the China Mobile service app, Railway 12306, a traffic management app, and more.

Here’s the distribution of the most-downloaded top apps in China by app category:

distribution of the most-downloaded apps in China by category

 

AI is super-mainstream in China right now: much more so than in western app stores. There are multiple AI apps in the top 20 and many more appear in the top 250 most-downloaded apps list. Short-form dramas are huge.

Interestingly, this is very much like Brazil, where short-form drama is a major app category.

Commerce is super-critical in China, but despite super apps that will do almost anything, there is some significant fragmentation in the market, with players like Taobao, JD.com, Douyin Mall, and other resale apps (think eBay or Craigslist or Facebook Marketplace) all in heavy competition for the Chinese consumer’s time and money.

Another key element of the Chinese mobile market: official apps are critical. Government is highly sophisticated and digital in China, so government apps for tax and other purposes get massive numbers of installs.

Based on what Chinese people are downloading right now, here are the top 5 categories for top apps in China:

  1. Lifestyle and utilities
  2. Shopping
  3. Finance
  4. Productivity (driven by AI)
  5. Entertainment

Notice the key missing category? Games.

Why games aren’t a top category for mobile in China

In the U.S., games dominate top download charts with titles like Roblox, Candy Crush, and Royal Match). Not in China.

Why?

While they are important, games do not rank high in lists of top apps in China: lifestyle, AI, and commerce are bigger. In fact, in the top 250 most-downloaded apps in China recently, games captured only just over 5% of all downloads: vastly different than most other markets.

That’s not because Chinese people don’t like games, though. There are 4 key reasons why games are less downloaded in China:

  1. Different regulations
    China limits new game licenses, so there are fewer new games. China also caps the amount of playtime kids under the age of 18 can engage in..
  2. Different consumer behavior
    Where in the west people might download a game to take a 5-minute break, in China short videos and short dramas are filling the entertainment gap.
  3. Different ecosystem
    Tencent and NetEase dominate gaming and their flagship titles are successful, popular, and entrenched. That means they are less likely to appear as new downloads in a top apps in China list.
  4. Different monetization
    In the U.S. and other western nations, ad monetization works well and ad-driven casual games thrive. In China, commerce and service apps monetize more reliably at scale, so innovation in the mobile space moves there.

All that said, games are still huge in China.

Honor of Kings has probably 100 million daily active users, and was the highest-grossing mobile game globally in 2024, earning approximately $2.6 billion. PUBG Mobile / Peacekeeper Elite is massive as well, and not far behind, while you also see Genshin Impact, Honkai: Star Rail, Arknights, and Black Myth: Wukong among the top games in China.

In the last 3 months, these are the most-downloaded mobile games in China and where they rank in overall number of installs”

  1. 三角洲行动 (Delta Force: Hawk Ops) — Rank 25
  2. 王者荣耀 (Honor of Kings) — Rank 62
  3. 暴吵萌厨 (Cooking game) — Rank 68
  4. 和平精英 (Peacekeeper Elite / PUBG Mobile China) — Rank 73
  5. 超自然行动组 (Supernatural Action Team) — Rank 81
  6. 蛋仔派对 (Eggy Party) — Rank 93
  7. 我的花园世界 (My Garden World) — Rank 100
  8. 无畏契约:源能行动 (Valorant Mobile: Source Ops) — Rank 105
  9. 我的世界:移动版 (Minecraft Mobile, China) — Rank 115
  10. 开心消消乐 (Happy Elimination) — Rank 128
  11. 掌上无畏契约 (Valorant Companion App) — Rank 129
  12. 燕云十六声 (Where Winds Meet / RPG) — Rank 137
  13. 迷你世界 (Mini World) — Rank 149
  14. 金铲铲之战 (Teamfight Tactics, China) — Rank 151
  15. 地铁跑酷 (Subway Surfers China) — Rank 159
  16. 贪吃蛇大作战 (Snake Battle) — Rank 179
  17. 球球大作战 (Battle of Balls) — Rank 197
  18. 腾讯欢乐斗地主 (Tencent Happy Landlord, card game) — Rank 210
  19. 永远的蔚蓝星球 (Forever Blue Planet) — Rank 212
  20. 斗罗大陆:猎魂世界 (Soul Land RPG) — Rank 233

Top apps in China: good news about measurement

One piece of good news for those bringing their apps into China: your mobile marketing measurement doesn’t need to change, as Singular offers mobile attribution services in China along with virtually everywhere else on the planet.

That means:

  • China-based servers
  • China-based data processing (required by Chinese cybersecurity law)
  • Integrations with local Chinese networks and media partners
  • Integrations with third-party Android app markets
  • Fraud protection
  • Global customers who are looking to add China to the markets they publish in should chat with their Singular representative. We have local people in China who can help you navigate some of the challenges of entering the market.

Perhaps even more importantly, Singular can ensure that all of your marketing efforts get the measurement that they deserve, enabling best-in-class growth optimization in China.

Book some time with us here.

Top travel apps for 2025: more than Uber, Google Maps, and Airbnb

The world is in motion, and there are tens of thousands of mobile apps to help: trip planners, hotel apps, transportation, apps, mobility apps, all the apps you can think. There’s translation apps too, which are super-useful when you’re traveling. But what are the top travel apps for 2025?

Hint: Uber, Google Maps, and Google Translate are at the top.

But there’s hundreds more that are worth checking out for different countries and regions, like Where Is My Train in India and Bolt in Europe, or DiDi in China. The biggest and most popular apps tend to be in transportation apps (especially ride-hailing apps, trip planning apps like mapping and navigation tools, plus accommodation apps like hotel apps and Airbnb, Vrbo-type apps.

We’ll start by listing the 100 best: the top travel apps for the whole world, and then we’ll look at the top 20 in individual regions. We’ll also look at what are the most popular types of travel apps per region, and speculate on what that might mean…

Key takeaways

  • The top travel apps of 2025 aren’t just Uber, Google Maps, and Airbnb; regional leaders like DiDi, Grab, and Where Is My Train show how local champions thrive.

  • Travel app preferences vary by region: ride-hailing dominates LATAM, rail and transit shine in APAC, and hotel bookings lead in North America.

  • Despite global giants, 75% of top travel apps come from smaller, regional players, proving there’s room to win without being global.

  • The future of travel apps will be shaped by multimodal mobility, seamless digital experiences, and smarter integrations across devices and platforms.

 

Top Travel Apps

Top travel apps: top 100 globally

Here are the top travel apps globally for 2025, based on Apptopia download data:

Rank App Name Developer
1 Uber – Request a ride Uber Technologies, Inc.
2 Google Maps Google
3 Google Translate Google
4 Where is my Train Sigmoid Labs and its affiliates
5 Waze Navigation & Live Traffic Waze Inc.
6 Airbnb Airbnb, Inc.
7 Booking.com: Hotels & Travel Booking.com
8 Rapido: Bike-Taxi, Auto & Cabs Roppen Transportation Services Private Limited
9 inDrive. Save on city rides SUOL INNOVATIONS LTD
10 maxim: order a taxi & delivery PT. SITO
11 Bolt: Request a Ride BOLT TECHNOLOGY OU
12 Grab: Taxi Ride, Food Delivery Grab.com
13 Trip.com: Book Flights, Hotels Trip.com Travel Singapore Pte. Ltd.
14 Revolut: Send, spend and save Revolut Ltd
15 Google Earth Google
16 铁路12306 中国铁道科学研究院集团有限公司
17 Instabridge: eSIM + Internet Instabridge Sweden AB
18 Flightradar24 | Flight Tracker Flightradar24 AB
19 Yandex Go: Taxi Food Delivery Mikromobilnost doo
20 美团-美好生活小帮手 美团
21 DiDi Rider: Affordable rides DiDi
22 Moovit: Bus & Transit Tracker Moovit App Global LTD
23 Zangi Private Messenger Secret Phone, Inc
24 Qpon: Daily Deals & Coupons HEYTAP PTE. LTD.
25 AMap Global AutoNavi Information Technology Co. Ltd.
26 Agoda: Cheap Flights & Hotels Agoda.com
27 Weather & Radar – Storm alerts WetterOnline – Meteorologische Dienstleistungen GmbH
28 2GIS: City maps & camera radar LLC “DoubleGIS”
29 Yango: taxi, food, delivery YHub ZAF (Pty) Ltd
30 Expedia: Hotels, Flights, Cars Expedia, Inc.
31 Skyscanner Flights Hotels Cars Skyscanner
32 Speak & Learn English: Learna Codeway Dijital Hizmetler Anonim Sirketi
33 Lyft Lyft, Inc.
34 Radarbot: Speed Cameras | GPS Iteration Mobile S.L
35 DiDi: Ride Hailing in China 滴滴出行(北京)网络平台技术有限公司
36 GetYourGuide: Plan & Book GetYourGuide
37 ConfirmTkt: Train Booking App Le Travenues Technology Ltd
38 Ola: Book Cab, Auto, Bike Taxi ANI Technologies Pvt. Ltd.
39 99 – Private drivers and Taxi 99 Taxis Desenvolvimento de Softwares Ltda. – Epp
40 redBus: Bus, Train Booking App Pilani Soft Labs Pvt. Ltd
41 ixigo Trains: Ticket Booking ixigo – IRCTC Authorised Partner, Flight Tickets
42 BlaBlaCar: Carpooling and Bus Comuto
43 携程旅行-订酒店机票火车票 Shanghai Ctrip Commerce Co.,Ltd
44 Airalo: eSIM Travel & Internet Airalo
45 Yelp: Food, Services & Reviews Yelp
46 RailOne Centre for Railway Information Systems
47 AllTrails: Hike, Bike & Run AllTrails, Inc.
48 Yandex Maps & Navigator Direct Cursus Computer Systems Trading
49 EasyPark – Parking made easy Easy Park AS
50 trivago: Compare hotel prices trivago N.V.
51 去哪儿旅行-订酒店机票火车票 Beijing Qunar Information Technology Company Limit
52 Xanh SM: Book EV rides GSM GREEN AND SMART MOBILITY JOINT STOCK COMPANY
53 Ryanair Ryanair Ltd.
54 Gojek PT. GOTO GOJEK TOKOPEDIA TBK
55 Lime – #RideGreen Neutron Holdings. Inc.
56 IRCTC Rail Connect Indian Railway Catering and Tourism Corporation Limited
57 同程旅行-订酒店机票火车票,低价打车 Tongcheng Network Technology Co., Ltd.
58 Marriott Bonvoy: Book Hotels Marriott International
59 OpenTable OpenTable, Inc.
60 Yandex Navi – navigation, maps Direct Cursus Computer Systems Trading
61 UK ETA Home Office
62 航旅纵横-官方源头机票、值机火车票接送机免税酒店 China Travelsky Technology Limited
63 Trainline: Cheap Train Tickets thetrainline
64 FlixBus & FlixTrain Flix SE
65 Polarsteps Travel Polarsteps B.V.
66 Flowbird parking Flowbird
67 Klook: Travel, Hotels, Leisure Klook Travel Technology Limited
68 Vrbo Vacation Rentals HomeAway.com, Inc.
69 Omio: Book Train, Bus & Flight Omio Corp.
70 MakeMyTrip Flight, Hotel, Bus MakeMyTrip.com
71 Lalamove – Fast & Affordable Lalamove Media Limited
72 Traveloka: Book Hotel & Flight Traveloka
73 UTS Centre for Railway Information Systems
74 Grab Driver: App for Partners Grab.com
75 百度地图-路线规划,出行必备 Beijing Baidu Netcom Science & Technology Co.,Ltd
76 Hotels.com: Book hotels & more Hotels.com
77 WiFi Map・Internet, eSIM Travel WiFi Map LLC
78 哈啰-骑车顺风车打车租车 上海哈啰普惠科技有限公司
79 United Airlines United Airlines
80 Transit • Subway & Bus Times Transit App, Inc.
81 Easy Rout Map: Navigation Path Travel Maps Tech
82 IRCTC eCatering Food on Track Indian Railway Catering and Tourism Corporation Limited
83 Google Maps Go Google LLC
84 Fly Delta Delta Air Lines, Inc.
85 Holafly eSIM: Unlimited Data HOLAFLY LIMITED
86 American Airlines American Airlines
87 Dott (previously TIER) Dott B.V.
88 OYO: Hotel Booking App & Deals Oravel Stays Private Ltd.
89 Nusuk | نسك Ministry of Hajj and Umrah
90 Saily eSIM: Data for travel Nordvpn S.A.
91 OsmAnd Maps Travel & Navigate OsmAND B.V.
92 DiDi Driver: Drive & Earn Cash DiDi
93 Porter – Logistics Service App Resfeber Labs Pvt. Ltd.
94 PayByPhone Parking PayByPhone Technologies Inc.
95 Speak: Language Learning Speakeasy Labs
96 Tripadvisor: Plan & Book Trips Tripadvisor
97 GO / Taxi app for Japan GO Inc.
98 MAPS.ME: Offline Maps, GPS Nav Convexity Holdings AG
99 Grubhub: Food Delivery GrubHub.com
100 飞猪旅行-机票酒店火车票门票轻松预订 Hangzhou Taomei Aviation Service Co., Ltd.

 

Want to deliver the same seamless, data-driven journeys as the world’s top travel apps? Discover how Singular empowers travel businesses to optimize every customer touchpoint.

Top travel apps by region

The top travel apps globally are mobility apps like Uber, trip planning apps like Google Maps and Where is my Train, and communication apps like Google Translate. Hotels and booking apps perform best in North America where they get about 8% of installs, while maps and navigation over-index in EMEA, where they get about 13.5% of travel app installs.

But there’s only 3 apps that are top 20 in every single region we looked at: Uber, Google Maps, and Google Translate.

The good news for those who want local flavor: of all the top travel apps in the world, 48 apps are “regional heroes:” meaning that they are top 20 travel apps in exactly 1 region.

Top travel apps in APAC: trains, bikes, and superapps

India drives the APAC rankings, with Where is my Train and Rapido taking the top two spots. But Grab is the Southeast Asian superapp story: mobility, food delivery, and payments all in one.

Rail and bike-taxi solutions dominate here, making APAC the world’s most multimodal region by downloads.

Rank App Name Publisher Name
1 Where is my Train Sigmoid Labs and its affiliates
2 Rapido: Bike-Taxi, Auto & Cabs Roppen Transportation Services Private Limited
3 Uber – Request a ride Uber Technologies, Inc.
4 Grab: Taxi Ride, Food Delivery Grab.com
5 Google Translate Google
6 Google Maps Google
7 铁路12306 中国铁道科学研究院集团有限公司
8 美团-美好生活小帮手 美团
9 Qpon: Daily Deals & Coupons HEYTAP PTE. LTD.
10 AMap Global AutoNavi Information Technology Co. Ltd.
11 Trip.com: Book Flights, Hotels Trip.com Travel Singapore Pte. Ltd.
12 maxim: order a taxi & delivery PT. SITO
13 Agoda: Cheap Flights & Hotels Agoda.com
14 Ola: Book Cab, Auto, Bike Taxi ANI Technologies Pvt. Ltd.
15 DiDi: Ride Hailing in China 滴滴出行(北京)网络平台技术有限公司
16 inDrive. Save on city rides SUOL INNOVATIONS LTD
17 ConfirmTkt: Train Booking App Le Travenues Technology Ltd
18 redBus: Bus, Train Booking App Pilani Soft Labs Pvt. Ltd
19 ixigo Trains: Ticket Booking ixigo – IRCTC Authorised Partner, Flight Tickets
20 携程旅行-订酒店机票火车票 Shanghai Ctrip Commerce Co.,Ltd

 

And in EMEA: fragmentation

EMEA is a little more fragmented than the average region we looked at, with Uber, Bolt, and Yandex Go all battling for rides.

Revolut also shows up as a finance-travel hybrid, possibly showing a path to a European-focused superapp. Calling it a travel app might be a stretch, but it is used to spend in different currencies, and has chosen the travel category. And its marketing is heavily travel-focused: “spend in 140+ countries.”

Rank App Name Publisher Name
1 Uber – Request a ride Uber Technologies, Inc.
2 Revolut: Send, spend and save Revolut Ltd
3 Google Maps Google
4 Booking.com: Hotels & Travel Booking.com
5 Bolt: Request a Ride BOLT TECHNOLOGY OU
6 Waze Navigation & Live Traffic Waze Inc.
7 Google Translate Google
8 Yandex Go: Taxi Food Delivery Mikromobilnost doo
9 Airbnb Airbnb, Inc.
10 maxim: order a taxi & delivery PT. SITO
11 2GIS: City maps & camera radar LLC “DoubleGIS”
12 inDrive. Save on city rides SUOL INNOVATIONS LTD
13 Flightradar24 | Flight Tracker Flightradar24 AB
14 Trip.com: Book Flights, Hotels Trip.com Travel Singapore Pte. Ltd.
15 Yandex Maps & Navigator Direct Cursus Computer Systems Trading
16 Weather & Radar – Storm alerts WetterOnline – Meteorologische Dienstleistungen GmbH
17 EasyPark – Parking made easy Easy Park AS
18 GetYourGuide: Plan & Book GetYourGuide
19 Ryanair Ryanair Ltd.
20 Google Earth Google

 

Now for LATAM: ride-sharing is king

LATAM is the world’s ride-hailing capital.

Over 32% of installs in the travel category in LATAM go to Uber, DiDi, inDrive, and other mobility app players. Local champions like 99 Taxis and Maxim are also surging.

Rank App Name Publisher Name
1 Uber – Request a ride Uber Technologies, Inc.
2 DiDi Rider: Affordable rides DiDi
3 Waze Navigation & Live Traffic Waze Inc.
4 inDrive. Save on city rides SUOL INNOVATIONS LTD
5 99 – Private drivers and Taxi 99 Taxis Desenvolvimento de Softwares Ltda. – Epp
6 Google Maps Google
7 Airbnb Airbnb, Inc.
8 Yango: taxi, food, delivery YHub ZAF (Pty) Ltd
9 Moovit: Bus & Transit Tracker Moovit App Global LTD
10 maxim: order a taxi & delivery PT. SITO
11 DiDi Driver: Drive & Earn Cash DiDi
12 Zangi Private Messenger Secret Phone, Inc
13 Instabridge: eSIM + Internet Instabridge Sweden AB
14 Speak & Learn English: Learna Codeway Dijital Hizmetler Anonim Sirketi
15 AstroPay – Global Wallet AstroPay
16 Booking.com: Hotels & Travel Booking.com
17 99 Motorista e Entregador 99 Taxis Desenvolvimento de Softwares Ltda. – Epp
18 SUBE Nación Servicios
19 Google Translate Google
20 Google Earth Google

 

And finally: North America’s top travel apps

North America skews toward maps, rides, and bookings.

North America is classic “big three” region: trip planner apps, hotel apps, and transportation apps. Lyft is the only major counterweight to Uber here, and Expedia still has strength as a traditional online travel agent. ParkMobile also cracks the top 20, showing the region’s quirky reliance on car culture and parking apps.

Rank Publisher Name App Name
1 Google Google Maps
2 Uber Technologies, Inc. Uber – Request a ride
3 Airbnb, Inc. Airbnb
4 Lyft, Inc. Lyft
5 Expedia, Inc. Expedia: Hotels, Flights, Cars
6 Waze Inc. Waze Navigation & Live Traffic
7 Booking.com Booking.com: Hotels & Travel
8 Google Google Translate
9 HomeAway.com, Inc. Vrbo Vacation Rentals
10 American Airlines American Airlines
11 Delta Air Lines, Inc. Fly Delta
12 United Airlines United Airlines
13 Upside Services Inc Upside: Get Cash Back on Fuel
14 Google Google Earth
15 AllTrails, Inc. AllTrails: Hike, Bike & Run
16 Yelp Yelp: Food, Services & Reviews
17 Transit App, Inc. Transit • Subway & Bus Times
18 Southwest Airlines Co. Southwest Airlines: Travel App
19 Parkmobile USA, Inc. ParkMobile: Park. Pay. Go.
20 Hilton Worldwide Holdings Inc. Hilton Honors: Book Hotels

 

The big picture: what we can see from all these trip planners, hotel apps, and mobility apps

Travel apps are a kind of a mirror of travel itself: global in scope, but local in execution.

Uber and Google provide the backbone, but there’s a lot of depth in local rail apps, regional ride-hail apps, and niche booking apps that works best locally, serving specific cultural and logistical needs. For app publishers that want to make top travel apps, that means there’s room to win without being global. If you can own a region, or even a city, you can still chart in the top 20 for your area. 

There definitely is some consolidation in the space, but it’s not total:

  • The top 5 publishers account for 16.5% of downloads
  • The top 10 account for 25%
  • 75% of top travel apps are from a long tail of hundreds of smaller players

Each region has different preferences of type top travel apps, too:

  • APAC: rail/transit (about 13.7% of downloads)
  • EMEA: maps/navigation (about 13.5% of downloads)
  • LATAM: ride-hailing (about 32% of downloads)
  • North America: hotel apps/booking apps (about 8.2% of downloads)

More to come in 2026

As preferences change and app developers come out with new experiences and new features, we’ll update this list regularly.

Singular helps travel brands go further

As travel apps evolve to deliver smoother, more personalized journeys, travel brands also need the right tools to measure and optimize those experiences. Singular helps travel companies do exactly that, with cross-device attribution and privacy-first insights

Mobile gaming CTR is out of control (and much more from our Q3 Quarterly Trends Report)

Mobile gaming CTR is out of control.

Overall click-through rate in mobile advertising was up 5.6% globally in Q2, as measured by Singular. But that’s not the story. The story is that CTR is only really up on iOS, where CTR jumped from 4.3% in January of 2025 to 13.4% in June. But that’s also not the story. The story is that CTR is only really up in mobile gaming advertising on iOS, where it ballooned from 6.1% in January to an eye-watering 25.9% in June.

Ouch.

That and much, much more is in Singular’s newest Quarterly Trends Report for 2025 Q3, which is available for free right now.

Mobile gaming CTR: up, up, and away!

This is the chart for CTR for both iOS and Android, year to date:

CTR on android and iOS

Clearly, something’s happening here. Android is basically flat for the full 6 months, while iOS is on a steady rise.

As I mentioned above, though, there’s 1 very clear culprit here.

Mobile gaming CTR is the primary reason for the steady increase, as you can see in this iOS-only chart that breaks down CTR by vertical:

mobile gaming CTR iOS

(The spiky blue line is Travel, a much smaller vertical for Singular than Gaming, which is basically half of the App Store. Travel isn’t impacting the overall numbers nearly as much.)

Every single month this year, mobile gaming CTR has increased. There hasn’t been a single month in which it has decreased.

Why?

Rewarded ads in games using SKOverlay to pop up a lightweight App Store app listing view right inside an ad, inside a game. I’ve talked about this before in Making Mobile Ads Suck Less, with Moloco’s Francesco Renzo, and Tragedy of the Commons. There are 3 versions of SKOverlay: a banner version, a full-screen version, and an App Clip version.

Spurious summoning of this and missed-that-X taps when people try to escape the ad result in clicks, clicks, and more clicks.

And the mobile gaming CTR rates rise and rise and rise.

Understanding CTR in the new reality: impression counts on iOS are back, baby

If mobile gaming CTR is just going to keep going this way as the mobile ad network arms race to get credit for conversions continues, it doesn’t necessarily mean that CTR is completely toast as a metric or a form of measurement.

It just means we all need to factor this into our new understanding of CTRs.

And, perhaps, start treating CTR almost as more of an impression count.

Which means, sort of, that impression counts are back on iOS, even though SKAdNetwork doesn’t support ad impression reporting the way we could see that before with the IDFA or can now on Android with GAID.

Not really, of course, and SKAN clicks are not trackable, so it’s not useful for MTA, or for frequency capping.

But hey: CTR is now the discount version of old-school ad impressions on iOS.

It’s not just mobile gaming CTR on iOS

Mobile gaming CTR isn’t the only thing that’s up.

Gaming in general tends to have higher CTRs — about 3X to 5X higher — so Android gaming CTRs are also up, at around 5%. That’s high compared to ads in Android shopping/retail apps, where we see about a 1% CTR, or entertainment apps on Android, where we see about a 2% CTR.

Utilities on Android is also an outlier.

Here’s CTR on Android by vertical:

CTR on android by vertical

Utilities starts the quarter high, at 17.7%, and finishes much higher, at 25.4%. Interestingly, on iOS Utilities has the highest ATT opt-in rates, and utilities are often “interesting” in grey hat sort of ways.

Draw your own conclusions.

This is a jam-packed report with so much more in it. 

Get your copy today for everything you need to know, including:

  • Global ad spend was up 45% quarter over quarter as measured by Singular
  • All key metrics — CPI, CPM, CTR, and IPM — were up as well
  • Android ads drive almost 3X more installs per impression than iOS
  • CTR ballooned by 38.6% globally (and we share why)
  • CPMs went up more than CPIs: good news for ad monetized apps
  • CPIs were up almost 15% in the U.S.
  • Fintech CPIs jumped almost 80%
  • Targeting is improving: IPM was up 11.3% across the board
  • Top 10 ad network share-of-spend gainers
  • Rewarded ad networks continue to grow
  • Hottest game genres (and what changed)
  • Hottest app verticals (and what changed)
  • ATT opt-in rates by vertical
  • And much more …

Plus, there’s some cool new tools to dial in to just the data you want:

Singular’s Quarterly Trends report

And, we have great contributions from partners:

  • AppMagic on top LiveOps trends
  • AppTweak on how CPPs lift conversion rates
  • Jampp on the recent surge in CTV
  • YouAppi on the least sexy but super-effective ad type

Get your copy right here.

From Thanos to a golden age of marketing measurement

It’s probably a controversial statement, but we’re entering a golden age of marketing measurement right now. Not an easy age, necessarily, but a golden age.

I’m not sure you had it on your Bingo card for 2025. I didn’t. And it’s something probably no one thought would happen 4 years ago.

I recently chatted with Singular CTO Eran Friedman on this. We touched on the challenges and opportunities in this new reality in our recent megapanel on the state of marketing measurement with Hannah Parvaz, Sara El Bachri, and David Vargas.

But we haven’t really clearly laid it out until Singular CEO Gadi Eliashiv talked about this in his recent keynote at ChinaJoy.

Masses of data, from multiple sources, tied together with smart AI-driven analytics.

Check it out here:

Thanos and the golden age of marketing measurement

Of course, we have to start with a point in time, 4 years ago.

It’s hard to talk about marketing measurement without revisiting the moment that Apple’s privacy moves changed everything. ATT and iOS 14.5 dropped like Thanos snapping his infinity-stone-enhanced fingers … and half the marketing measurement universe kinda just disappeared. 

On iOS it felt like 90% of our user‑level signals disappeared overnight. 

(Mostly because that’s exactly what happened.)

Naturally, there was a lot of doom and gloom. 

  • Was performance marketing over?
  • Would cohort analysis, ad optimization, and ROI modeling go away
  • Was reliable attribution over?

And in the years that followed, it looked like Android would follow a similar pattern with Privacy Sandbox. (Which has been very muted lately!)

But now we have our answer. 

Yes, the rules changed. Yes, tactics evolved. But also, the ecosystem adapted. Platforms opened new pipes, analytics got smarter, and marketers learned to stitch together many signals instead of leaning on just one.

And the end result of Thanos’ snap is a new golden age of marketing measurement.

We went from a data drought to signal abundance

What looked like scarcity — and originally was scarcity — has become a kind of abundance.

But only if you know where to look. If you can catch all the signals. And if you can intelligently combine them:

  • Open internet & device signals
    On iOS, you still have SKAN, IDFV, and meaningful first‑party data. On Android, GAID, referrer, and first‑party data continue to matter. And don’t forget the humble IP address and user agent when used responsibly.
  • The big platforms’ data
    Meta, Google, TikTok, Snap, X and others now share more aggregated and modeled performance signals than ever before. Meta’s AMM is back. Google’s ICM is here. Deterministic joins might be rarer, but probabilistic and modeled insights are richer.

From the big platform side, it looks like this:

Platform

Modeling

Data sharing with MMPs

Unique aspects

Meta

Yes

Touchpoints, claimed installs via AEM, Advanced AEM, AMM

Significant data sharing increases recently

Google

Yes

Touchpoints, claimed installs, on-device measurement

New: Integrated Conversion Management

Tiktok

Yes

Touchpoints, claimed installs via Advanced SAN

Recent: Advanced SAN

Snap

Yes

Touchpoints, claimed installs via Advanced SAN

Recent: Advanced SAN

Apple

No

SKAN data, with nulls/deletions for privacy

On-device measurement; Apple Ads API

Other ad networks

Depends

Click & impression data, IDFA/GAID when available

Traditional MMP attribution

From the open internet, ad network, and device signals side, it looks like this:

iOS

Android

IDFA

GAID

IDFV

Referrer

SKAN

Ad network data

Ad network data

IP address

IP address

First-party data (in-app, requested account data including for messaging, etc)

First-party data (in-app, requested account data including for messaging, etc)

The result: more sources, more coverage, and more opportunities to triangulate truth.

This all adds up to a sturdier foundation for growth

Thanks to that broader signal set, growth teams can now assemble a durable measurement base:

  • They can unify data
    Use clues from platforms, partners, and your own first-party data into a single reliable attribution model … Unified Measurement.
  • They can answer core questions
    Get CPI, CAC, LTV, and ROAS dependably across both Android and iOS.
  • They can measure at the right level of granularity
    Drill down when you want to, and roll up when you need the big picture.
  • They can layer on prediction and modeling
    Build high‑resolution views where user‑level data isn’t available.

With that foundation, analysis is less a random archaeology dig and starts feeling like product engineering again.

And arguably, it’s a more contextualized, nuanced, balanced, and reliable view of attribution and marketing measurement than the previous model, which essentially relied very heavily on just 1 signal: IDFA on iOS and GAID on Android.

Golden age of marketing measurement, meet AI 

All of that foundation is what our increasingly capable AI models can now feed on and generate ever-more-powerful insights.

This isn’t a bolt-on: it’s now embedded in how marketers ideate, operate, and optimize. Three practical examples:

Creative intelligence in Creative IQ

In a world where bidding levers are increasingly automated, creative is the one you can still pull yourself. 

(For now: creative will increasingly get automated at the platform level.)

Creative Optimization Reporting

But whether you make it or you offload that to generative AI, you still need to know how it performs.

The Singular approach, Eliashiv says, pulls every asset from every channel into one system, then uses AI to understand them: audio, visuals, text, colors, characters, elements, even language. Creative IQ maps those attributes to performance so you can see not just what wins, but why. 

“Now we can use AI to understand why this creative is working so well. Is it the language? The characters? The tone, the colors, the soundtrack?”
– Gadi Eliashiv, Singular CEO

The upshot: faster iteration cycles, smarter briefs, and a shared creative language across UA, design, and leadership. Because now you don’t just know which individual creatives are winning. You also know why. And that knowledge allows you to make more like it.

AI that helps you set up measurement: Singular Copilot

Ad networks and platforms are powerful. With that power comes complexity. And measurement platforms like Singular have to live in that complexity and make it manageable.

How?

With AI help.

Configuring partners, tracking links, postbacks, re‑engagement windows, cross‑device settings … there’s a lot both to know and to do as a growth marketing expert. So we’re embedding a context‑aware assistant directly inside the product: Singular Copilot.

You can ask, “How do I set up a tracking link” and it won’t just answer. It will take you to the right screen, highlight the right fields, and guide you through every step of the setup. Essentially, it’s a smart agent that understands both your question and what is happening on your screen.

This is a bridge to a future where less is configured manually and more is orchestrated by intelligent systems.

Optimization engines that never sleep

Our new ELT product, Extract, moves raw marketing and store data and much more into your warehouse quickly, easily, efficiently.

(And yes, there’s still a Singular marketing ETL tool!

Some of the largest game publishers use it to query the App Store and Google Play every 15 minutes, check installs, analytics, and rankings, and automatically adjust their spend and bids. Paired with modeled conversion signals from ad partners, these loops create near real‑time allocation engines for UA and re‑engagement.

“They’ve started automating their user acquisition and re‑engagement work … choosing where to allocate budget, which creative to generate, writing their own text for creatives, and choosing bids.”
– Gadi Eliashiv, Singular CEO

The common denominator across all three of these? A strong, complete, and accurate data foundation. 

AI multiplies your impact only when the inputs are consistent, rich, and trustworthy.

What this means for marketers right now

Measurement is back. The golden age of measurement is here.

But only for those who are ready for it, and are collecting the multiple data points you need to unify attribution from all the different signals.

So what should you do?

  1. Audit your signals
    Inventory what you have (SKAN, GAID/referrer, first‑party, partner‑provided modeled events) and what you’re missing. Meta’s AMM, for example, is only available if you agree to it explicitly, and you can only get it via an approved MMP like Singular. Close the gaps.
  2. Instrument creative learning
    Invest in smart tools like Creative IQ to boost your creative results. AI will help you tag systematically, manage data governance, extract insights, test hypotheses, and feed learnings into generation.
  3. Embed AI into operations
    Start with Singular’s integrations with ChatGPT and Claude. Use AI assistants to understand what’s happening, and then reinforce your actions. There are many more tools coming …

A final word: the golden age of measurement?

The last few years have reshaped measurement. 

What began as turbulence now feels kind of like a tailwind … if you bring the right data, analytics, and AI to the table. And have some fun.

As Gadi said on stage:

“We are in a golden era right now and I think it’s exciting.

GPT-5 for marketers: GPT-5 is here (and GPT-4 is back)

GPT-5 is here and that’s great news for marketers, especially if you’re using our just-released MCP integration with ChatGPT. In fact, GPT-5 might just be a game changer for marketers who aren’t 100% sold on the AI Kool-Aid yet. (Even better, because 5 is much more processor-intensive and might hit your rate limits soon, OpenAI is bringing back 4.0 in case you prefer it.)

But 5 should be better for most things:

OpenAI CEO Sam Altman says it’s like the change from the early iPhones to the retina display. He also said GPT-5 is a “PhD-level expert.”

That might be a bit hyped, but at minimum, 5 is incrementally better than GPT-4o, which was already pretty ridiculously good. Note: you may have to manually select Thinking Mode, which ensures the full power of GPT-5 is unleashed on your query, to get the best results.

We’ll get into all the details below, but briefly here are a few places where I see GPT-5 could be super helpful for UA and performance marketers. The new GPT-5 …

  • Makes higher-quality content
  • Generates much better computer code (yeah, this matters to marketers … keep reading!)
  • Improves data analysis for large datasets
  • Customizes customer-facing comms with new “personalities”
  • Improves decision-making
  • Boosts safety and compliance on sensitive topics
  • Reduces costs over previous pricing models
  • Automates multi-step workflows

Marketers are super-hungry for this. In fact, our industry-first MCP integrations with Claude and ChatGPT have seen some of the fastest uptake of any Singular product, ever.

“This is a watershed moment for so many of our customers,” says Singular CTO & co-founder Eran Friedman. “Now any marketer can talk to their data exactly like they talk to a teammate.”

And that’s exactly what they are doing

So … what’s new in GPT-5?

What’s all new in GPT-5?

There’s so much here I’m going to present this in numbered points for easier digestibility. This is a major new release for OpenAI and ChatGPT, and it’s massive.

Specifically for marketers, here’s what’s new in ChatGPT with GPT-5:

  1. GPT-5 is faster
    Ever waited in ChatGPT for the text to slowly … crawl … down … the … window? Now Altman says the model is so fast that he found himself wondering whether it had thought enough before answering (but it had).
  2. It’s more accurate
    Everyone hates LLM hallucinations. We’ve actually invested significantly in reducing their likelihood in our AI integrations. According to OpenAI, the system delivers ~45% fewer factual errors than GPT‑4o in real‑world scenarios and up to ~80% fewer when its thinking mode is triggered.
  3. You can make software on demand
    In a demo video, an early beta tester revealed he had created an app where a camera mapped his hands’ locations in real-time and allowed him to control on-screen artifacts … all from a prompt. Just think what you can do for custom little apps that do parts of your work for you. Another test showed GPT-5 making a working French-language learning site within seconds. What websites or landing pages do you need made … this is the ultimate no-code development, and will unlock so many possibilities for busy marketing teams. 
  4. GPT-5 now has a single unified model
    You don’t have to pick a model anymore. ChatGPT will get your query and automatically assign more thinking and processing resources where needed.
  5. The system is more honest (and humble)
    GPT-5 will now admit more readily … “I don’t know.” This is huge, and will build more trust in ChatGPT when it does actually answer.
  6. It’s more powerful and can take more inputs
    GPT‑5 dramatically expands the context window to 256,000 tokens, roughly equivalent to a 600‑800 page book. So you can feed it huge prompts … think tons of data … and it will crunch through it all and supply answers.
  7. ChatGPT can now connect to Gmail, Google Calendar, and more
    Drowning in email? Need help answering customer requests? ChatGPT can act more as an agent for you with GPT-5. Maybe you get support requests via email … now ChatGPT can connect, read, analyze, and report on common issues. And maybe even learn how to respond appropriately.
  8. Better charts (!!!)
    I didn’t see this in any of the claims that OpenAI made, but we’ve been playing with GPT-5 behind the scenes here as we add it to our ChatGPT integration, and the charts are much better. This has been a place where Anthropic’s Claude has had a huge advantage over OpenAI.

This is all impressive and great, but what does it mean for marketers?

GPT-5 for marketers: what can it do?

OK, let’s get to the important stuff for marketers: what can GPT-5 do for UA pros and performance marketers?

In a word: lots.

“Speed wins in marketing,” Gadi Eliashiv, CEO and co-founder of Singular, said recently about our ChatGPT integration. “By connecting our analysis‑ready data to world‑class LLMs via MCP, we’re giving marketers a new level of intelligence and agility.”

Given that GPT-5 is faster than previous models, that’s a good thing.

A caveat: this has just been announced, so we have to wait to see how it works in the real world. But OpenAI has proved they’re pretty freakishly good at AI, so I’m willing to provisionally trust them. (And you can always roll back to 4 as well, if you prefer.)

But here’s what should be better in 5:

  1. High-quality content generation
    GPT‑5’s improved reasoning and writing abilities will provide marketers with a powerful co‑creator. It’ll make copy more coherent, context‑aware, and aligned with brand voice. So creating text for A/B testing emails or headlines will be easier and better. And writing blog posts should improve too. (But … yeah … keep a human tone, huh?)
  2. High-quality code generation
    I said it above, but if you want to prototype landing pages, build microsites, or create interactive tools straight from natural‑language descriptions … GPT-5 is gonna be better. (Now we need tools like WordPress and others to offer easy ways to integrate that kind of AI-generated code.)
  3. Better data analysis
    This is near and dear to my heart: I just finished up Singular’s next Quarterly Trends Report. GPT-5 can ingest larger datasets and make sense of them. Think … piecing together customer journeys, understanding and predicting behavioural data, or merging multi‑channel campaign logs.
  4. Better customer-facing comms
    You can now tell ChatGPT to adopt a custom personality: cynic, robot, listener, or nerd. You can bet more will be coming soon. That means you can build brand personality into just about anything where you want AI help in conversing with customers or users.
  5. More confidence in AI-assisted processes
    Up to 80% fewer errors is a big deal, and that’s going to translate into greater trust over time. My daughter recently told me that ChatGPT got basic things wrong about the F1 summer schedule and racing calendar, which diminished her trust in AI across the board. As we experience GPT-5 and see if it’s less error-prone, we’re going to trust it in all kinds of marketing processes.
  6. Higher-level work with less handholding
    A junior employee needs lots of handholding. Senior ones, less so. GPT-5 should be a more senior assistant that can do bigger jobs with less human intervention. GPT‑5 has improved multi‑step reasoning and agentic capabilities, which could enable things like analysing campaign performance, recommending budget reallocations, generating creative assets, and maybe — in the future — even implementing those changes.

Using AI for marketing … it’s time

If you’ve resisted so far, it’s time to start using AI for marketing. And GPT-5 is a good place to start.

Start by trying our integration with either Claude or ChatGPT: whichever you prefer. You can find the instructions right in our Help Center. If you need help, there’s an AI-powered Singular Assistant to walk you through it, step by step:

AI for marketers - Singular AI assistant

 

I promise you’ll find it interesting, useful, and maybe even mind-blowing. Just like, perhaps our latest AI-powered creative optimization product, Creative IQ. There’s more coming there too.

Let us know how it goes!

Top food delivery apps: global

Food delivery apps have come a long way, baby. Just 7 years ago in 2018 they took in $90 billion in revenue. But by last year, that exploded to $289 billion, and it’s still growing. In fact, the food delivery sector is estimated to hit over $500 billion by 2030. 

A third of this market is currently North America, but APAC is the fastest growing, while LATAM and EMEA continue to see annual double-digit growth.

That’s … impressive.

So who’s going to win? 

Which apps and companies are best-positioned to grab the most share of this massive and quickly growing market? Covid set the stage for the current battle, when food delivery downloads increased by 20% year-over-year. Now, as the competition continues to heat up, the emphasis is shifting to q-commerce: quick commerce, with promised delivery times as low as 10 minutes.

In this post I’m going to look at the top food delivery apps in 4 key global markets:

  • APAC
  • EMEA
  • LATAM
  • NA (North America)

I’m looking at both app downloads and time spent in app, and I’m weighing time spent in app about twice as much as downloads, just because I think usage and engagement — and the revenue which is much harder to directly measure — is more important than simple installs.

Key takeaways

  • Food delivery is growing fast: global revenue hit $289B in 2024 and is projected to surpass $500B by 2030

  • APAC is the fastest-growing region; North America still leads in overall revenue

  • The most-used apps globally include Grab, Zomato, Swiggy, DoorDash, Uber Eats, and Just Eat

  • Rankings are based on both app downloads and user engagement, with heavier weighting on time spent in-app

  • Regional leaders vary widely across APAC, EMEA, LATAM, and North America

  • Restaurant brands like McDonald’s, Pizza Hut, and Taco Bell show strong app engagement, especially in North America and LATAM

  • The next wave is q-commerce: ultra-fast delivery is setting the pace for competition

  • Drone delivery is emerging as a critical innovation for speed, cost savings, and scalability

First off: global top 10

Below, I’ll look at each of the individual markets. But if we look at the global top 10 food delivery apps, here’s what the model shows:

  1. Grab
    Dominates Southeast Asia
  2. Zomato
    Leads in India
  3. Swiggy
    Leads in India
  4. Foodpanda
    Strong is Southeast Asia and parts of Europe
  5. iFood
    Leads in Brazil
  6. DoorDash
    Strongest in the USA
  7. Deliveroo
    Strong in the UK, Ireland, and parts of mainland Europe
  8. Just Eat/Takeaway.com
    Leads in Western Europe
  9. Uber Eats
    Strongest in the USA
  10. PedidosYa
    Leads in Latin America

Grab has huge engagement and usage in Southeast Asia across multiple verticals, including but not limited to food delivery and groceries, while India-focused apps like Zomato and Swiggy rank high thanks to their own deep engagement and frequent usage. In the United States, we see more DoorDash and Uber Eats, while Deliveroo and Just Eat dominate in the EU.

PedidosYa is strong in Argentina, Uruguay, and Chile to lead in LATAM, along with iFood, which dominates in the huge economy of Brazil. And while Rappi doesn’t make this list, it’s also a significant player here.

OK: now let’s look at each region …

top food delivery apps

Top food delivery apps: APAC

Here are the top 20 food delivery apps for APAC right now. 

What we see is that regional leaders like Swiggy, Zomato, and Foodpanda stand out with very high engagement in specific markets.

  1. Grab
  2. Zomato
  3. Swiggy
  4. Zepto
  5. foodpanda
  6. Pizza Hut India
  7. EatSure QuickiES Food Delivery
  8. LINE MAN: Food Delivery & more
  9. DoorDash
  10. magicpin
  11. Coupang Eats 
  12. SNACC: 10-Min Food Delivery
  13. Yango
  14. EatClub
  15. Wolt Delivery
  16. PedidosYa
  17. McDonald’s India Food Delivery
  18. ShopeeFood 
  19. Milkbasket
  20. Deliveroo

Swiggy and Zomato are big in India, a large and fast-growing market. Foodpanda and Grab are stronger in Southeast Asia. We see high engagement levels, lots of repeat usage, and strong loyalty in these markets.

Only 2 restaurant brand apps, Pizza Hut and McDonald’s, make the list. All the others are pure-play delivery apps, and most of them deliver food plus other goods and services.

Interestingly, some of these brands are so big and so popular that their delivery personnel or service apps also rank in the top 20, and had to be filtered out by hand.

Delivering fast is one thing, delivering results is another. Learn how Singular helps food brands convert across channels

Top food delivery apps: EMEA

Here are the top 20 food delivery apps in EMEA right now. 

Again, we see strength in specific markets, with Deliveroo leading in the UK and Ireland, Just Eat stronger in Spain, Italy, Denmark, and the UK, and Wolt focused on the Nordic and eastern European countries.

  1. Yandex Go
  2. Zomato
  3. Wolt Delivery
  4. Swiggy
  5. foodpanda
  6. PedidosYa 
  7. Glovo
  8. DoorDash
  9. Grab
  10. Deliveroo
  11. Yango
  12. Zepto: 10 Min Grocery Delivery
  13. HelloFresh:
  14. Keeta
  15. Just Eat 
  16. EatSure QuickiES
  17. DiDi Food
  18. Domino’s Pizza Delivery
  19. Coupang Eats
  20. Rappi

Yandex Go is surprisingly strong in EMEA, with Zomato and Swiggy showing up here as well as APAC. Glovo is strong as well, and HelloFresh makes an appearance as a meal prep (and delivery) app.

For restaurant brands, we see Domino’s … and that’s it.

Top food delivery apps: LATAM

Here are the top 20 food delivery apps in LATAM right now.

  1. iFood
  2. PedidosYa 
  3. McDonald’s Offers and Delivery
  4. Zomato
  5. Swiggy
  6. Yango
  7. foodpanda
  8. Zé Delivery de Bebidas
  9. Rappi 
  10. DiDi Food
  11. DoorDash
  12. Zepto: 10 Min Grocery Delivery
  13. Wolt Delivery
  14. EatSure QuickiES 
  15. Coupang Eats 
  16. SNACC: 10-Min Food Delivery
  17. Deliveroo
  18. HelloFresh
  19. LINE MAN
  20. aiqfome: delivery de tudo

iFood is a clear leader with high engagement scores, but PedidosYa is doing very well also. McDonald’s makes a surprisingly strong showing in LATAM: the highest any individual restaurant brand shows up anywhere, globally.

Top food delivery apps: North America

Dominated by the United States, the North American market is about 27% of global food delivery revenues right now. Here, DoorDash, Uber Eats, and Instacart dominate both downloads and engagement.

Top 20 food delivery apps in North America:

  1. DoorDash 
  2. Instacart
  3. Pizza Hut 
  4. Grubhuby
  5. Taco Bell 
  6. Papa Johns Pizza 
  7. Postmates 
  8. Skip 
  9. Gopuff
  10. Grab
  11. Factor
  12. HelloFresh
  13. 7NOW
  14. Slice
  15. Shipt
  16. foodpanda
  17. Zomatog
  18. McDonald’s
  19. Sheetz Food
  20. PedidosYa

Factor joins HelloFresh here as food prep delivery services, but there’s an even more significant difference between North America — and particularly the United States — and the rest of the world.

And that’s the number of individual restaurant brands showing up:

  • Pizza Hut
  • Taco Bell
  • Papa Johns
  • McDonalds

Another difference: a food-specific delivery app in Slice (for pizza).

Next step in the delivery business: drones

Food delivery apps are growing fast.

“Takeout used to be a convenience, now it’s a culture,” says Food and Wine magazine. 

In the US, consumers average 4.6 food app orders per month, with younger users even more hard-core users, at about 5.1 orders per month. A staggering 75% of restaurant traffic now involves takeout or delivery, and speed is one of the most important factors. 

“94% of all consumers say speed is critical,” says the National Restaurant Association.

That means 10 minute delivery might soon be too slow, if you can believe it. 

The only solution here will be drones. That’s super-fast, becoming more and more available as regulations and laws change all over the world, and costs 90% less than driving big steel and glass cars or trucks out to customers’ homes.

It’s coming soon: Uber Eats has been testing it for years. 

At that point, the 75% of restaurant traffic stat might get a lot closer to 100%.

How leading food delivery brands optimize for growth

As food delivery apps continue to scale and evolve, it’s clear that user experience, engagement, and cross-platform performance are becoming just as important as download volume.

Want to optimize every touchpoint, reduce acquisition costs, and serve up better results for your food or drink brand?
Explore the Singular choice for Food & Drink businesses and learn how top marketers are using cross-device attribution, customizable links, and data-driven insights to build loyalty and drive growth.

 

Singular + ChatGPT: first MMP to connect ChatGPT to all your marketing data

San Francisco, CA – August 5, 2025 – Singular, a leading analytics, measurement, and data management partner for mobile app marketers, today announced it is the first Mobile Measurement Partner (MMP) to go live with a Model Context Protocol (MCP) integration with ChatGPT. This ChatGPT integration follows Singular’s earlier first‑to‑market launch with Anthropic’s Claude. Additional support for other MCP-enabled LLMs is coming soon. 

“Speed wins in marketing,” said Gadi Eliashiv, CEO and co-founder of Singular. “By connecting our analysis‑ready data to world‑class LLMs via MCP, we’re giving marketers a new level of intelligence and agility.”  

Because ChatGPT has a free tier and Singular also has a free tier of service, this powerful service is now available at zero cost even to those mobile app and game developers with the tiniest of budgets.

And it’s unlocking an unprecedented richness of data for all mobile app and game makers.

What this ChatGPT MCP integration enables

An MCP integration is a deep integration between the intelligence of major LLM-based AI engines and the super-rich marketing and advertising data in Singular.

ChatGPT MCP integration

 

It’s safe, secure, and private, and it gives natural‑language access to live campaign data for marketers and app developers:

  • How much revenue they’ve made in the last month
  • How many app installs they’re getting
  • What their ROI is
  • If costs are trending up
  • Which ad partners return the highest ROI for least cost
  • Which ads are working
  • And much more …

App developers can also get instantly generated visual charts and tables right in their conversations. Non-technical staff don’t have to navigate dashboards or write SQL.

Ultimately, this unlocks growth for game and app developers who don’t have deep data or marketing technology knowledge. Now ChatGPT (or Claude) can help them find, understand, and apply data-driven insights for new marketing campaigns, ad partners, ad creatives, and marketing offers.

How marketers are already using Singular’s MCP integrations

Global growth teams have made Singular’s MCP integration with Claude one of the company’s fastest-growing product features and are rapidly adopting it for daily reporting, and we expect the same for ChatGPT.

MCP- Claude

 

The most common questions fall into six buckets:

  1. Campaign performance and return on ad spend
  2. Trend analysis and time-based reporting
  3. Revenue and spend comparison
  4. Creative performance and A/B testing
  5. Install and conversion tracking
  6. Geo and platform-based segmentation

Early adopters report dramatic speed gains in getting data, but also unexpected access to gamechanging insights providing data points they didn’t previously consider important.

Limiting hallucinations

LLMs are subject to occasional hallucinations, which might be OK for casual searches but are definitely bad for marketers making investment decisions. So Singular has worked hard to use strict schemas, break every question into tiny, individual tasks, force LLMs to admit ignorance, keep prompts super lean, and provide full observability and logging so that hallucinations don’t happen or are quickly caught.

“We design each model call to do just 1 small job: nothing more,” says Eran Friedman, Singular CTO. “Clear, single-purpose calls prevent prompt injection, keeping outputs predictable.”

Within the MCP integration, each LLM’s output is tightly scoped to numerical data and visual analytics returned from Singular, minimizing faulty responses. And making both Claude and ChatGPT helpful, reliable partners in growth.

First of its kind

MCP is a very recent integration technology introduced by Anthropic in November of 2024. It defines how LLMs can securely query structured data sources in real time. The MCP protocol keeps data access safe, secure, and auditable, and allows Singular to enforce user-level permissions at query runtime.

Think of it like a USB-C port for AI.

It’s only recently enabled deep integrations with rich datasets like our clients’ data in Singular, and the integrations for ChatGPT (OpenAI), Microsoft, and Google are brand-new.

While other marketing analytics companies are still testing their integrations in limited betas, Singular’s is openly available to all clients.

About Singular

Singular is the only end-to-end marketing analytics platform that uncovers true ROI by unifying cost, performance, and engagement data across every marketing channel. Trusted by growth leaders at LinkedIn, Rovio, EA, and Nike, Singular helps teams optimize smarter, scale faster, and eliminate wasted spend.

6 UA lessons from the experts at Tilting Point (oh, and a $150M user acquisition fund)

Tilting Point just raised a new $150 million fund for user acquisition. They’re the money behind SpongeBob, Star Trek, Warhammer, and Zombieland games. And they scaled monthly ad spend on Match 3D from $500K to $11M (!!!) helping them explode revenue 30X. In other words, these guys know what they’re talking about … and they might just have some UA lessons for the rest of us.

(Plus, who knows, they might even have some cash to help scale your game or app.)

I recently chatted with Asi Burak, Tilting Point’s Chief Business Officer, about the fund. But we also talked about improving monetization and retention in games, how to kickstart growth, how to scale growth, his best advice for indie developers, and the future of game monetization.

(Hint: it’s gonna get more diverse.)

And yes, we chatted about the new user acquisition fund. 

Hit play and keep scrolling:

 

UA lesson 1: don’t wait for perfect

Sure, growth starts with a good product. But Burak can’t count how many developers he’s seen that want to kick off UA spend after the next version, or the next big feature, or the newest mechanic …

UA lesson 1: start.

“If you can put money and bring users and bring players and quality players, do it,” Burak says. “Don’t wait for permission … don’t wait for the next version that’s going to be so much better. If you can scale, scale.”

There is no mythical perfect product. Don’t delay growth. If your metrics show retention and monetization are strong, lean in.

That said, scaling requires discipline.

And a few doctor’s visits.

“I always tell developers … check the data, check the data, check the data. Test, test, test. Find the model and go get the doctor’s opinion … when they come to us, we’ll give them a very objective look.”

In other words, talk to smart people who have been there and done that. They’re the doctors who can diagnose growth problems or limiting factors. 

 

UA lessons

UA lesson 2: but don’t start too early

Growth is pretty scientific these days, sure, but it’s also an art. And part of the art is in knowing when the hit the gas.

UA lesson 2 is all about remembering to focus on retention and monetization before kicking off big UA spending. 

One of Tilting Point’s best-known success stories is Match 3D, which scaled from $500,000/month in UA spend to $11 million/month and achieved astonishing 30X revenue growth. 

The reason? Exceptional retention and a unique genre.

“You saw a game that was super, super engaging, super sticky,” Burak says. “Day 90 retention was 5% … so we knew that we could start putting the gas on the pedal.”

If your product doesn’t retain well or monetize effectively, pouring money into UA just accelerates churn.

(Oh, and burns cash.)

UA lesson 3: payback periods are getting longer

Everyone wants the marketing spend back ASAP, but today you need to have a little more patience.

A few years ago, many mobile games recouped their ad spend in 30 to 90 days. UA lesson 3 is that now, payback often takes a year or more. And that’s a long time.

“Unfortunately … what happened to UA post‑ATT and some other things in the market … it became tougher,” Burak says. “We see objectively that paybacks extended … one year and a half, two years … and it’s not that they want to go beyond one year. They don’t have a choice.”

This means studios need a bigger financial cushion or external funding — like Tilting Point’s — to scale safely. Unless you have unlimited cash on hand.

UA lesson 4: don’t waste equity

Especially with payback periods getting longer, it’s tempting to sell equity for venture financing to fund user acquisition and growth.

Think twice.

UA spend is critical, but it’s not the best use of scarce equity or VC funding, says Burak.

“I want you to take your VC money … and help you to invest that money in your product, in the growth of your team, in your IP,” he says. “And take my money for the low‑quality investment [of funding user acquisition] … because it’s money that you recycle all the time.”

Marketing is essential, but it’s an ongoing cost. Investing equity into core product and long-term value drivers is smarter.

UA lesson 5: learn from others

UA lesson 5 might seem obvious, but we’ve all seen founders flush with cash burn it on things that didn’t matter.

Talk to people who are experts. Who have scaled mobile companies. Who know how to grow. 

Tilting Point doesn’t just provide funding. They bring experience managing campaigns for over 80 games, which gives them a wide-angle view of UA and monetization trends:

“Because we work on so many … we can say, you know, for your genre, that channel might be something you should look at,” Burak says. “Or rewarded platforms have strong short‑term performance but long‑term retention challenges.”

That cross-genre expertise can identify new channels or strategies you wouldn’t see if you only focus on one title.

UA lesson 6: experiment with new revenue models

Most games are doing hybrid monetization now:

  • IAPs
  • Subscriptions
  • Ads

That’s not all there is, or at least not all there will be, says Tilting Point. Mobile gaming revenue is evolving beyond in-app purchases (IAPs) and ads. Burak sees growth in hybrid models, season passes, real-money rewards, and even light Web3 or e-commerce integrations.

(Could web3 be back? Maybe only in very specific use cases: check the whole chat for more.)

“I think we’ll see more diversity in revenue sources … subscription, the season pass … even hybrid things like earned cash elements inside a regular game,” he says. “You add a layer of revenue that nobody else has.”

For marketers and product teams, that means more ways to monetize, and more data points to optimize campaigns. Importantly, it means more revenue than your competitors, which means more money for UA, and the ability to bid higher for premium revenue.

All of those are massive competitive advantages.

Oh and … yeah … that $150 million funding round

We didn’t just talk about UA lessons. We also talked money, because one of Tilting Point’s biggest differentiators is non‑dilutive funding. That means developers get growth capital without giving up ownership of their company.

“Developers were shocked, you know, they’re like, wait, wait, wait. So I’m not giving my equity for this? You’re not going to take my company away or something?” Burak says. “We want to give them an offer, a proposal, a model that doesn’t risk it at all. And in fact, in many cases we don’t even touch the corporate level … we collect revenue directly. Then we don’t even need to do any security agreement on the corporate level. So it’s not even getting to be a loan.”

Instead, Tilting Point’s funding focuses on user acquisition and performance marketing: investing millions of dollars a month into acquiring new players for promising games.

That’s worth checking out, and it’s the focus of this $150 million funding round.

Best-case scenario

It’s super rare, but the best case scenario for a new game or app is that you a) invent a new genre, and b) it turns out to be a massive hit.

(Yeah, crazy hard and unlikely on both counts, but we can dream, right?)

That’s the case with Match 3D:

“You see a guy that invented a genre … he did it with five guys in a room,” Burak says. “He later sold it for $200 million because his EBITDA was so crazy just for the fact he had such a lean team and made it so quickly.”

If you’re super-successful like that, Tilting Point doesn’t put a hard cap on the funding. (Especially because the payback period for this particular game was really fast.)

Much more in the full podcast!

You know you need to listen to or watch the podcast to get all the most juicy learnings, right?

Find your favorite podcast platforms here, or just subscribe to our YouTube page

You’ll be happy you did.

Here’s what you’ll get in this podcast:

  • 00:00 Introduction to Growth Mastermind’s Podcast
  • 02:12 The Evolution of Tilting Point
  • 05:05 Funding and Investment Strategies
  • 08:12 The Importance of Data and Expertise
  • 10:14 Challenges and Adaptations in UA
  • 12:22 Collaborating with Developers for Success
  • 16:18 Investor Expectations and Negotiations
  • 16:50 Non-Dilutive Funding Model
  • 18:21 Advice for Indie Developers
  • 19:25 Persistence and Success Stories
  • 21:45 Investment Strategies and Game Potential
  • 24:13 Future of Gaming Industry
  • 28:31 Cross-Platform and B2C Trends
  • 30:16 Conclusion and Final Thoughts

Marketing analytics landscape 2025: hello AI

When you look at the state of modern marketing analytics in 2025, you need to take a few deep breaths. It’s growing massively — as usual — but where it’s growing is most impressive: AI, AI, AI. But the big question is: what do marketers need most?

The answer just might be: even more AI.

Key Takeaways

  • Massive martech growth: 14,108 tools in 2025, up 9,304% since 2011

  • AI dominates marketing analytics: 3,068 new AI-native tools launched last year alone

  • Top AI use cases in marketing: Content ideation, personalization, creative testing, and campaign analysis

  • Marketers’ biggest needs: Unified data infrastructure, AI-enhanced attribution, and automated insights

  • Rise of AI agents: Custom-built tools helping marketers create, analyze, and optimize faster

  • Performance marketing leads AI adoption: Majority of UA pros already using AI daily

  • Singular’s innovations: Creative IQ and “Talk to Your Data” unlock instant, AI-powered analytics

  • The golden age of measurement: Rich, multi-source data + AI = deeper, more accurate attribution

Let’s dig in

Some of the big numbers defining the marketing analytics landscape, right off the bat:

  • 14,108: total number of martech tools now
  • 27.8%: growth rate last year (!!!)
  • 9,304%: growth since 2011
  • 3,068: number of AI-native martech products introduced last year

I am a big fan of Scott Brinker and his amazing, awesome, even frightening marketing technology landscape. Starting out in 2011 with just 150 logos, his martech landscape has grown massively.

Here’s the current state in 2025, with the data, marketing analytics, and attribution section highlighted by moi:

marketing technology landscape 2025

The current AI focus is no accident. It’s a trend caused by the collision of 3 main drivers:

  1. The super-rapid progress of AI since ChatGPT launched in late 2022
  2. The massive challenges marketers have in making sense of gigabytes of data
  3. The ever-increasing workloads we’re all under

What that means is that trend is not slowing down. In fact, Brinker says both that AI is over-hyped (sure) and massively disruptive (absolutely). And, like many technologies, we’re tending to overestimate the short-term impact while at the same time underestimating its long-term impact.

That hype — and that disruption — is something that Singular is making a massive contribution to. We just recently released several significant AI-powered tools, and there’s much more coming soon:

So what is the state of marketing analytics in 2025? And what do marketers need most?

Marketing analytics landscape 2025

Martech and marketing analytics have both grown massively and astonishingly over the past decade.

Shockingly fast to shockingly large numbers, in fact. If we just look at Brinker’s martech landscape, we see a 9,304% increase in martech companies from 2011 to 2024 and beyond:

Martech tool growth

Importantly, 77% of the new tools introduced last year in 2024 were AI-focused: 3,068 new products for the marketing tech ecosystem that were AI-native.

If the current trends continue, we’ll see something like 17,000 total martech tools by the end of 2025, and perhaps another 3,500 AI-native tools built or released just this year alone. (Of course, with numbers like these, we’re going to see some consolidation, and some — maybe most — will fail.)

Where marketers are using AI in marketing analytics solutions

Right now, we’re mostly seeing the wider marketing community use AI for content-related needs, and many of the solutions are in that space:

  • 69%: Content ideation
  • 62%: Copy production
  • 53%: Transcription, notes, summaries
  • 49%: Content optimization and testing
  • 45%: Personalization

AI marketing use cases

I’d argue that the user acquisition and performance marketing slices of marketing professionals are probably more advanced in their AI use than the average marketer.

When we recently asked user acquisition pros about their biggest challenges in terms of creative, 34% were having challenges just knowing what’s working. A fifth were fighting creative fatigue, and maybe losing. Another quarter needed help generating new creative ideas.

Biggest creative challenges

AI can help with all of that.

Then, when we asked the same user acquisition experts about their use of AI, the results tracked to the problems:

where user acquisition experts use AI

 

27.2% are using AI for concept creation. 20.6% are doing visual generation via AI. Only .5% of these high-performance marketers were not using AI at all …

But even this use of AI is quickly expanding to much more challenging projects and processes. Every day, marketing experts have to set up campaigns, create tracking links, manage marketing data flows, set up attribution, understand analytics, and summarize campaign results. Look to Singular for help with all of it, very soon.

And these high-level users are expanding even more to AI agents. Some of them are for building creative (I’ve made one of those myself). Others are tackling key parts of our workloads, plus eventually AI agents building custom software for very specific needs and uses.

The modern martech landscape in 2025 is all about solving these problems with smart systems.

What marketers need most in 2025 from martech, attribution, and analytics solutions

What does this mean about what marketers need now from attribution and analytics solutions like Singular?

5 things in particular come to mind:

  1. Unified and composable data infrastructure
    Marketers need a unified data layer, whether via cloud data warehouses or data lakes, or, for simpler solutions, your data in Singular. They also need a composable data infrastructure: modular, flexible, scalable, and accessible for AI and other analytics. That includes Singular’s Marketing ETL solution, to get your marketing data just the way you want it, or our brand-new, super-modern ELT platform, Extract, which is perfect for unifying the 20 different data sources you likely have. (Learn more about Extract here.)
  2. AI-enhanced attribution and measurement
    Attribution and marketing measurement are complicated. You need Unified Measurement attribution models blending all the available data, including probabilistic, SKAN, first-party data, extra data from Meta (AMM)and Google (ICM) that you can only get via an MMP. You also need modeled cross-channel conversions, with the ability to access incrementality and media mix modeling (MMM) capabilities.
  3. Instant AI-powered insights and recommendation
    And you need AI, like our Claude (and other LLMs) integration for near-real-time insights and automated causal analysis. Natural language interfaces for querying marketing performance are huge for easy non-technical access to data, and sometimes you learn something or uncover some insight that you never would have thought to search for in a dashboard.
  4. Scalable content and personalization management
    Marketers also need GenAI-driven creative production and testing, maybe extending to brand-specific LLMs for on-brand AI-generated content, and likely, eventually, dynamic personalization engines leveraging integrated data and content intelligence.
  5. AI-driven SaaS services
    Marketers increasingly need external AI-powered services for things like attribution, analytics, and marketing operations. You can’t build everything in-house while also running your business, and this frees teams to focus on product, marketing, and strategy while benefiting from AI-driven operational efficiency.

The goal is freeing marketers and UA experts from grunt work and giving them the tools to have almost instant rich data and deep insights which enable super-fast campaign creation, execution, and optimization.

Yeah, this is part of the golden age of marketing measurement

I recently chatted with Singular CTO Eran Friedman on marketing analytics and the emerging “golden age of marketing measurement.”

Check out the convo here:

 

Briefly, what we’re seeing is more data from the big platforms like Meta, Google, TikTok, Snap, and more. We’re seeing more on-device data. And we’re building an increased ability to assimilate that data, enrich that data, and analyze that data in automated, quick, AI-driven ways.

That’s a golden age, in which the multiverse of analytics data from different angles and sources provides what might actually be better attribution and analytics results than the comparatively “perfect” tracking enabled by IDFA in the past and even GAID right now.

Why?

Because every buying decision, every install, every IAP purchase, every subscription converted is the result of a complex series of motivations and drivers, 1 of which is probably the last-clicked ad someone saw, but many of which might be hidden or non-digital. So getting more data from more sources shows more causality, including views, clicks, and other actions.

Singular can help

As a leading marketing analytics platform, we deliver new AI-driven and AI-enhancing solutions regularly. Talk to us to learn how you can get your data where it needs to go, and how to get the insights you need at the speed you want them.

Book a chat here.