Metrics 6 min read · · Last updated:
By Mark Ashworth · Founder, ChurnTools

Mobile App Churn Rate by Category (2026)

Mobile app churn benchmarks vary dramatically by category. Gaming loses 60-75% in 30 days. Utility apps see 40-50%. Subscription apps hold 40-55%. Here are the real 2026 numbers, with what good and concerning look like.

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Mobile app churn benchmarks vary dramatically by category. A day-30 retention of 25% is best-in-class for gaming and concerning for subscription apps. Same number, opposite verdicts.

Here are the real 2026 numbers.

Day-30 retention benchmarks by category

CategoryBest-in-classHealthyConcerning
Gaming (casual)30%+15-30%Below 15%
Gaming (hardcore)40%+25-40%Below 25%
Utility (productivity, tools)40%+25-40%Below 25%
Subscription (fitness, meditation)50%+30-50%Below 30%
Social / messaging45%+25-45%Below 25%
E-commerce35%+20-35%Below 20%
Media / streaming55%+35-55%Below 35%
Finance / banking50%+35-50%Below 35%

Why the categories differ so much

Three structural differences drive the spread:

Install intent

A game install is often casual curiosity ("saw an ad, why not"). A fitness subscription install is deliberate ("I'm going to work out this year"). Deliberate installs retain better because the user chose them, not because the product is better.

This is why gaming benchmarks look bad compared to utility. The install pool is fundamentally different.

Time-to-value

Utility apps deliver value on first use (a QR scanner scans a QR code). Gaming requires 5-10 sessions before the game "clicks." Subscription apps require a habit to form.

The longer time-to-value, the more first-week uninstalls you see. Compare day-1 retention against day-30 retention to see how much your product loses in the value-formation window.

Alternative pressure

E-commerce apps compete with the mobile browser (users can just go to the site). Games compete with hundreds of similar titles in the store. Utility apps often have less competitive pressure per install.

What to measure alongside day-30 retention

Day-30 retention is the headline number. The supporting metrics that predict it:

  • Day-1 retention. Catches onboarding problems immediately.
  • Day-7 retention. Catches novelty fatigue and value-delivery gaps.
  • Install-to-first-value time. Every extra step between install and value costs retention.
  • Push opt-in rate. Below 50% is a leading indicator of retention problems.
  • Session frequency in week 1. More sessions in week 1 = higher day-30.

How to improve if you are below benchmark

The order that works for most mobile teams:

  1. Onboarding first. Time-to-first-value is the biggest lever. See why users uninstall your app for the fixes.
  2. Push notification strategy second. Aggressive pushes cause 28% of uninstalls. See the push notification playbook.
  3. Pre-uninstall detection third. Catch declining users 7-14 days before they leave. See how to detect app uninstalls.
  4. Post-uninstall recovery fourth. Email is the only channel that survives uninstall. See the offboarding email guide.

The bigger picture

For the mobile-specific retention playbook and the ICP-level view, see the mobile apps guide. To score your setup across 5 dimensions in 60 seconds, take the Churn Health Check.

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Frequently asked questions

Answers to the questions I get most often about this topic.

What is a good mobile app retention rate?
Day-30 retention benchmarks vary by category. Gaming: 30%+ is best-in-class, 15-30% healthy. Utility: 40%+ is best-in-class, 25-40% healthy. Subscription apps: 50%+ is best-in-class, 30-50% healthy. Social/messaging: 45%+ is best-in-class. E-commerce: 35%+ is best-in-class. Always compare against your specific category, not "mobile" in aggregate.

What is the average mobile app churn rate?
Across mobile apps industry-wide, 70-80% of installs uninstall within 90 days. Day-30 retention averages 15-25% depending on category. This is much higher than SaaS churn rates because mobile has more categories with high impulse-install patterns (games, novelty apps) and lower friction to uninstall than to cancel a paid subscription.

Why does mobile churn vary so much by category?
Three reasons: (1) install intent varies - a game install can be casual curiosity, a fitness subscription install is deliberate. (2) Value delivery time varies - utility apps deliver on first use, gaming needs sustained play. (3) Alternative pressure varies - e-commerce apps compete with browsers; games compete with hundreds of similar titles.

How do I measure mobile app churn correctly?
Track day-1, day-7, day-30 retention as three separate cohort curves. Day-1 catches immediate-uninstall problems (bad onboarding). Day-7 catches novelty fatigue. Day-30 predicts long-term retention. Also track "install-to-first-value" separately - it is the leading indicator of every retention metric.
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MA

Written by Mark Ashworth

Founder of ChurnTools. I spend my time studying how SaaS companies lose customers and building tools to help them stop. Previously worked in SaaS growth and retention across multiple B2B products. I also write about growth and answer-engine optimization (AEO) at growthpigeon.com.

@growth_pigeon growthpigeon.com LinkedIn
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