What Is Churn Rate?
Churn rate measures the percentage of users who stop using your app over a given period. It is the inverse of retention. If your D30 retention is 15%, your D30 churn is 85%.
For subscription apps, churn tracks the percentage of subscribers who cancel or fail to renew. This directly impacts recurring revenue and is one of the most closely watched metrics in subscription businesses.
Monthly User Churn = (Users at Start - Users at End) / Users at Start x 100
Types of Churn
User Churn (Logo Churn)
The percentage of users who leave. A user is considered "churned" when they have not opened the app within a defined period (commonly 7, 14, or 30 days depending on your app's natural usage frequency).
Revenue Churn (MRR Churn)
The percentage of recurring revenue lost due to cancellations and downgrades. Revenue churn can be negative if expansion revenue from existing users exceeds lost revenue. Negative revenue churn is the gold standard of subscription businesses.
Voluntary vs Involuntary Churn
Voluntary churn happens when users actively decide to leave. They uninstall, cancel their subscription, or simply stop opening the app. This is a product or value problem.
Involuntary churn happens without user intent: expired credit cards, failed payment processing, or billing errors. In mobile subscriptions, involuntary churn accounts for 20-40% of total churn. Fixing payment failures alone can significantly reduce overall churn.
Churn Benchmarks
| App Type | Monthly User Churn | Annual Sub Churn |
|---|---|---|
| Social media | 3-5% | N/A |
| Casual gaming | 15-25% | N/A |
| SaaS/Productivity | 3-7% | 30-50% |
| Streaming/Entertainment | 4-8% | 35-55% |
| Health/Fitness subs | 6-10% | 50-65% |
| News/Media subs | 5-9% | 40-60% |
| Dating apps | 5-10% | 40-60% |
For subscription apps, annual churn below 40% is considered strong. Below 25% is exceptional.
Identifying Churn Signals
Users rarely churn overnight. There are usually warning signs days or weeks before:
- Declining session frequency - Opening the app less often than their baseline
- Shorter session duration - Spending less time per visit
- Feature disengagement - Stopping use of core features they previously used
- Support tickets - Frustrated users who reach out before leaving
- Downgrade activity - Moving to a lower tier before canceling entirely
Building a churn prediction model using these signals lets you intervene before users leave. Even a simple rule-based system can make a meaningful difference.
Reducing Voluntary Churn
Improve Onboarding
Most churn happens in the first week. Users who do not find value quickly will not come back. Focus on getting users to the core value proposition within the first session and reducing time-to-value with guided tutorials.
Build Switching Costs
The more invested a user is, the harder it is to leave: personal data and history, social connections within the app, customization and preferences, and content they have created all increase switching costs.
Listen to Feedback
Add exit surveys when users unsubscribe. Ask one simple question: "What made you cancel?" The patterns in responses reveal exactly what to fix.
Pricing Adjustments
Offer a discounted "win-back" plan to users who are about to cancel. A 50% discount for 3 months often costs less than acquiring a new user from scratch.
Reducing Involuntary Churn
Dunning Management
When a payment fails, do not immediately cancel the subscription:
- Retry the charge after 24-48 hours
- Send a friendly email explaining the payment issue
- Retry again after 3-5 days with a final notice
- Only cancel after 3-4 failed attempts over 14-21 days
Grace Periods
Apple and Google both support billing grace periods for subscription apps. During this period, the user retains access while the store retries the payment. Enable this in both App Store Connect and Google Play Console.
Churn and LTV Connection
Churn directly determines Lifetime Value:
LTV = ARPU / Churn Rate
If monthly ARPU is $10 and monthly churn is 5%, LTV is $200. Reducing churn from 5% to 4% increases LTV from $200 to $250, a 25% improvement from a single percentage point change. This is why churn reduction is often the highest-leverage activity for subscription apps.
Cohort-Based Churn Analysis
Aggregate churn rates hide important information. Break churn into cohorts:
- Is churn improving over time? Compare D30 churn of January installs vs March installs
- Which channels produce high-churn users? Paid social might churn 2x faster than organic
- Does tenure reduce churn? Users who survive the first 90 days often have much lower ongoing churn rates