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Boost your growth with AutopilotFAQ
How do I run A/B tests for subscription paywalls in mobile apps?
Set up a control paywall and one or more variants, split traffic between them, and compare trial starts, purchases, and revenue. In Adapty, you can do this natively, and Autopilot suggests which paywall experiments to run first, so you are not guessing.
What are the most common mistakes in paywall A/B testing?
Typical mistakes are changing too many things at once, stopping tests too early, or looking only at clicks instead of revenue. Adapty Autopilot helps avoid this by proposing focused paywall tests with a clear goal and expected impact.
How long should I run a paywall A/B test to get valid results?
Run it until you collect enough conversions to be confident in the winner, which for most apps means at least one billing cycle or a few hundred purchases. Autopilot takes your real traffic into account and prioritizes paywall tests that can reach significance faster.
What metrics should I track when A/B testing paywalls?
Watch how many users see the paywall, start a trial, convert to paid, cancel, and how much revenue each variant generates per user. Adapty Autopilot uses these subscription metrics to judge paywall experiments, so you see which changes really pay off.
What are the best ways to increase paywall conversion rate in mobile apps?
Clarify the value, reduce noise, and make the offer, pricing, and trial structure fit what users saw in onboarding. Autopilot reviews how your paywall performs today and then suggests specific experiments on pricing, trials, and plan mix that are most likely to lift conversion.
Which paywall elements have the biggest impact on subscription revenue?
Price points, billing periods, presence and length of a trial, and the set of plans you show usually matter more than visuals. Adapty Autopilot focuses its recommendations on these high-impact levers and highlights which paywall changes can unlock the most extra revenue.

