90-day churn benchmark
Alchemer, citing AppsFlyer and Mixpanel, says average mobile app retention after 90 days is about 20% to 30%, which implies roughly 70% to 80% churn by that point.
Source: Alchemer mobile engagement benchmarkMobile subscriptions live or die in the first days, not months. Most apps lose the majority of users before a habit forms, and billing adds another layer of complexity because the experience differs sharply between App Store, Google Play, and web-based recurring payment flows.
The benchmark numbers below are directional, not guarantees. They are most useful when you compare your own cohorts by billing cadence, acquisition source, and payment method so you can separate true product churn from renewal failures that a better dunning system could have recovered.
Use benchmarks to set expectations, not to flatten the nuance in your business. A healthy retention strategy usually starts with the benchmark, then moves into cohort analysis so you can see where churn is coming from and which parts of it are recoverable.
Alchemer, citing AppsFlyer and Mixpanel, says average mobile app retention after 90 days is about 20% to 30%, which implies roughly 70% to 80% churn by that point.
Source: Alchemer mobile engagement benchmarkAppsFlyer's glossary benchmark shows average app retention falling to around 6% by day 30 across categories.
Source: AppsFlyer retention glossaryBusiness of Apps reports that more than 90% of users on average switch off before day 30.
Source: Business of Apps app churn ratesAppsFlyer notes that subscription revenue continues to build through day-30 and day-60 renewals, making early retention essential to monetization.
Source: AppsFlyer State of App MonetizationChurn usually shows up as a mix of product friction, pricing questions, and billing issues. The patterns below are the ones most likely to move both voluntary churn and involuntary churn in this category.
Mobile users make a stay-or-leave decision quickly. If the app asks for too much setup, explains value too slowly, or buries the first useful action behind permissions and paywalls, churn happens before billing strategy has a chance to matter.
Many apps convert a user into a subscription before that user has completed the core habit. The result is a paid subscriber who still has no real routine, which creates weak renewal behavior and a misleadingly healthy short-term conversion number.
Apple and Google control much of the payment experience for native subscriptions. That makes it harder to intervene on failed payments or upcoming renewals unless the product also has strong in-app messaging, email capture, or a web billing layer.
Retention drops when apps either stop reminding users to come back or overuse notifications until they are muted. The best mobile products tie prompts to a real task, streak, or milestone instead of blasting generic engagement campaigns.
Most operators do not need ten new lifecycle campaigns. They need a tighter first-value journey, better cohort segmentation, and cleaner renewal recovery so good customers are not lost to avoidable friction.
Do not try to explain the whole product on day one. Get the user to finish one trackable success event quickly, then use follow-up messages to deepen engagement after they have already experienced a real outcome.
Paywalls convert better and retain better when they appear after visible value, not before it. Use behavior and progress to determine when a user is ready for a trial or paid prompt instead of showing the same wall to every install.
If all billing happens inside Apple or Google, your retention work depends more on product habit and store-managed recovery. If you also run a web checkout or hybrid model, you can layer in richer payment recovery and lifecycle communication for those cohorts.
A reminder is more useful when it references a streak, unfinished lesson, saved progress, or a next step the user already understands. That keeps notifications relevant and lowers the risk of them being disabled entirely.
Install growth can hide a weak subscription business for a long time. Track whether trial users reach the actions that predict second and third renewals, because that is where durable app revenue is actually created.
RevGuard is most useful when some portion of churn is really failed payment churn. That is common in recurring businesses because renewal failures can look like normal attrition unless you track invoice state and recovery separately from product behavior.
If you know your customer count, average revenue, and a rough failed payment rate, you can estimate how much churn may be sitting inside renewal failures instead of real cancellations.
These pages use publicly available benchmark sources and industry research. Review the linked material directly before adopting any benchmark as an internal target.