Trials lift LTV in Utilities and Health & Fitness. In Productivity, direct buyers are worth 16% more. Data from $3B in subscription revenue across 16,000+ apps.
AppsFlyer, Amplitude, Firebase, Adjust, AppFollow and more. How not to get lost in mobile services? Which services your mobile app needs and how Adapty fits in.
Wondering how free apps make money? Explore how free apps monetize and turn "free" into a sustainable and profitable mobile app business model.
58% of new subscription apps earn under $1K/year. Here's what the full revenue distribution looks like — by category, platform, and app type. Based on $3B in real data.
The top 10% of apps capture 94.5% of all subscription revenue — up from 92.7% in 2023. Here's what the data says and what to do about it.
Japan, Mexico, and Turkey are the fastest-growing app markets in 2026. Full regional breakdown based on $3B in subscription revenue data.
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The trial vs. direct question: what $3B in revenue says
Best services for mobile app attribution and analytics to use in 2026
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Data from 16,000+ apps reveals what separates high-converting paywalls from the rest — plan type, trial setup, pricing, placement, and what to test first.
Weekly plans now drive 55% of app revenue. Trials hurt LTV in 4 out of 8 categories. Here's what SOIS 2026 data from thousands of apps actually tells you.
Apple Ads adds multiple ad slots in App Store search from March 3, 2026. What changes for organic traffic, CPT, and ROAS — and how to measure it.
A practical framework for subscription app founders on how to spend the first $1K–$10K on Meta Ads—covering creative testing, attribution, blended ROAS, and when to scale.
Apple's new Search Results ad placements go global March 17. Apps with active in-app events physically block the second ad slot for returning users — here's the mechanic and how to use it.
A/B testing can be a powerful tool for optimizing your mobile app paywall. But if you're not careful, you can make mistakes that could undermine the effectiveness of your testing. In this guide, we'll explore common paywall A/B testing mistakes and how to avoid them.
