Uninstall rate is the percentage of users who install an app and subsequently delete it within a defined time window — typically D7, D30, or D90 uninstall rate. It's the cleanest churn signal you have: the user actively went to their device's settings or home screen and deleted the app. Compared to passive churn (user just stopped opening), uninstall is a definitive verdict.
The data shown above is engagement churn, the closest proxy to true uninstall rate available at catalog scale. It captures "user stopped opening the app" — a superset of uninstall. True iOS uninstall measurement requires silent-push deliverability tracking (no public dataset captures this); Android's native uninstall events aren't aggregated at the catalog level either. Engagement churn from MWM's retention dataset gives you the right SHAPE — the percentage of installs you've effectively "lost" by D1/D7/D30 — even if a few percent of those users still have the app installed but aren't opening it.
iOS vs Android measurement reality
- Android exposes uninstall events natively through Google Play Console and via API. Your MMP can ingest these events automatically.
- iOS does NOT expose uninstall events. Apple keeps this data confidential. The industry workaround is silent push notification deliverability tracking: send a periodic silent push, if delivery fails (the device returns "no recipient" or equivalent), the app is presumed uninstalled. Accuracy is good-but-imperfect — silent push can fail for non-uninstall reasons (device offline for extended period, user disabled push, app uninstalled and reinstalled).
MMPs (AppsFlyer, Adjust, Singular) all offer iOS uninstall tracking via silent push. Expect a 3-7 day measurement delay on iOS compared to near-real-time on Android.
Industry benchmarks (D30 uninstall rate, 2026 anchors):
- Habit / messaging / banking apps: 10-25%. Strong product-value retention.
- Productivity / consumer-social: 25-40%.
- Casual games: 35-55%.
- Hyper-casual games: 60-80%. By design — high install volume, fast cycling.
- Utility apps: 30-60%. Wide spread by use-case.
Very high uninstall rates (>60%) for non-hyper-casual apps usually indicate problems: aggressive notification spam, app crashes, never reaching aha moment, or paid traffic mismatch (you're acquiring users the product doesn't serve).
The distribution exposes a hard truth: 90%+ engagement loss by D30 is the catalog norm, not the exception. If your D30 uninstall-rate proxy is in the 95-97% band you're in the broad median; under 90% means you're already top-decile. Real iOS uninstall events would be a few points lower (some users keep the app but stop opening) — directionally the picture is the same.
Median D1 / D7 / D30 churn rates by category (US, Q3 2025, MWM)
| Category | D1 churn | D7 churn | D30 churn |
|---|---|---|---|
| Social & Communication | 68.1% | 87.7% | 94.1% |
| Lifestyle & Well-being | 76.3% | 90.4% | 95.2% |
| Productivity & Tools | 77.0% | 91.1% | 95.5% |
| Education & Knowledge | 75.1% | 91.4% | 96.4% |
| Media & Entertainment | 75.1% | 92.0% | 96.6% |
| Game | 63.4% | 90.7% | 97.1% |
Category breakdown patterns track real-world intuition: Social and Communication apps lose the fewest users by D30 (the daily-anchor effect), Games lose the most despite a competitive D1. The Games D1-vs-D30 spread is the canonical "fun-but-doesn't-stick" pattern — the lever to pull is mid-funnel retention design, not onboarding optimization.
Top uninstall drivers
- Too many notifications — notification fatigue is the single most-cited reason users uninstall apps in survey research. Aggressive push lifts short-term DAU but drives uninstall.
- App crashes — a crashing app gets uninstalled within days. Watch crash-free rate carefully.
- Never reaching aha moment — users who install but don't complete onboarding or hit the product's core value uninstall fast.
- Acquisition mismatch — paid creative that promises one experience and delivers another. Common with games using "fake gameplay" creatives. High install rate, equally high uninstall rate.
- Storage / battery / data complaints — large apps that use significant device resources get pruned during storage cleanups.
- Pricing surprise — apps that promise "free" but feel paywalled within seconds of install.
Reducing uninstall rate
- Quality onboarding — get users to aha moment fast. Track onboarding completion as a leading indicator.
- Notification discipline — relevance > volume. Throttle, segment, allow easy preference control.
- Crash-free rate discipline — keep crash-free rate above 99.5%. Critical performance bugs get fixed fast.
- Creative-to-product alignment — paid ad creative should accurately represent the app. Misleading creatives drive high install + equally high uninstall.
- Honest pricing surface — paid features should be clearly differentiated from free, no bait-and-switch.