How to Benchmark Mobile App Retention
A retention benchmark is only useful when the cohort definition and return window are consistent. Start with your own historical cohorts before reaching for category averages.
Define retention before comparing it
Day-N retention is the share of an install or signup cohort that is active on a defined return day. Some tools instead report rolling retention, where a user can return at any point by that day. Those are different measures and should not be compared as if they were the same.
Day-N retention
Day-N retention = users active on day N ÷ users in the day-0 cohort × 100
Hypothetical example: 280 returning users ÷ 1,000 installs = 28% Day-7 retention
Use your own prior cohorts as the baseline
Compare equivalent acquisition periods, platforms, countries, and product versions. Keep the cohort size visible. This makes it possible to tell whether a change followed a release, a traffic-mix shift, or ordinary variation.
! Note
We do not publish category retention ranges on this page. Public retention reports frequently use different attribution rules, categories, windows, and data populations; a generic range can be misleading for a specific app.
Connect onboarding to later return behaviour
Split each cohort by a clearly defined onboarding outcome, such as reaching the first value event. Then compare the retention curves of completers and non-completers. This is a diagnostic relationship, not proof that the funnel caused retention to change; release changes and user mix still need to be considered.
Questions to ask before acting
- Did the cohort definition, conversion window, or instrumentation change?
- Is the movement present on both iOS and Android?
- Did acquisition source or country mix change?
- Did a release alter a specific onboarding step?
- Is the effect large enough in absolute users to justify the work?
→ Insight
Use external benchmarks only when the original source discloses its methodology and matches your product context. For product decisions, a consistently measured internal trend is usually more actionable.
Find the retention driver
Compare completers and non-completers
OnRamp places completion and retention cohorts side by side, making it easier to investigate whether a specific onboarding release changed later return behaviour.
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