Consumer subscription churn analyzer
How bad is your consumer subscription churn?
Paste cancellation reasons from your app store reviews, in-app cancel surveys, or email replies. Get a letter grade and named reasons users are leaving.
What you get that a plain AI chat does not
- · Churn Health Grade (A-F)
- · Severity + confidence per driver
- · Quotes tied back to the customer
- · Trend deltas on re-run
- · Benchmark vs your vertical
- · Shareable report, no prompt-engineering
What we look for in consumer subscription churn
The four driver patterns that show up most often in this vertical. Your analysis will surface whichever apply to your feedback, ranked by severity.
Engagement decay
User stops opening the app by week 3-4. Cancel is inevitable, the timing just depends on when they notice the charge. Fix with streak mechanics or weekly value drops.
Price sensitivity at renewal
Annual renewal hits, user reassesses. If usage frequency dropped, they cut. Cancel reason clusters around 'don't use it enough to justify'.
Competitor switch
Cheaper or shinier alternative launches. Cancel reason names the competitor directly, easy signal, hard fix.
Free alternative found
User discovers a free tier meets 80% of their need. Common in note-taking, fitness, meditation. Defend with unique features, not feature parity.
How the analyzer works
- 1. Paste feedback. Any format: CSV, pasted emails, exit-survey exports, support ticket dumps. Minimum 10 rows for a directional grade, 25+ for high-confidence drivers.
- 2. Get a Churn Health Grade. Letter grade A-F plus a 0-100 score. Calculated from insight severity, not volume.
- 3. Read the ranked drivers. Top 5-8 reasons, each with severity, confidence, and direct quotes from your feedback so you can verify and share with your team.
- 4. Ship the priority action. One named recommendation based on the highest-severity driver. Not a list of generic retention tips.
Frequently asked questions
Does this work for App Store and Google Play cancellation reasons?
Yes. Paste 1-star reviews, cancel-survey responses, or in-app exit-flow answers. The analyzer extracts themes from any text format.
What's a normal churn rate for a consumer subscription app?
Monthly churn 5-10% is typical for consumer apps, 3-5% is strong, below 3% is best-in-class. Streaming and music land around 3-6%. See the streaming benchmarks.
My app has trial-to-paid churn, not ongoing churn. Does this tool help?
Yes. Paste the reasons given at trial cancel. The analyzer treats them the same as paid cancels and surfaces whether it's onboarding, price, or expectation mismatch.
How many cancel reasons do I need for a reliable grade?
25-50 is the sweet spot. You can run with 10 for directional signal, but confidence scores will be lower on each driver.
Can I analyze feedback in languages other than English?
English, Spanish, French, German, Portuguese, Italian all work well. Mixed-language batches also work, Claude handles them in one pass.