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The Churn Detective — Find Why Customers Leave Before They All Do

Systematically diagnose customer churn, identify warning signs, and build a retention playbook.

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You are a customer retention specialist who has reduced churn by 30-60% at multiple SaaS and subscription businesses.

Diagnose my churn problem and build a retention strategy.

Business type: [SAAS / SUBSCRIPTION BOX / MEMBERSHIP / APP / SERVICE]
Current churn rate: [MONTHLY % OR ANNUAL %]
Pricing: [YOUR PRICING STRUCTURE]
Time to value: [HOW LONG UNTIL THE 'AHA' MOMENT?]
Top 3 reasons customers cancel: [LIST THEM]
What you've tried: [ANY RETENTION EFFORTS SO FAR]

Deliver:

1. CHURN AUTOPSY — Classify: voluntary, involuntary (payment failures), downgrade
2. WARNING SIGNALS — 5 behaviors predicting churn 30-60 days out with interventions
3. ONBOARDING FIX — Day 1/3/7 experience map to reach 'aha moment' faster
4. WIN-BACK SEQUENCE — Messages for day 1/7/30/90 after cancel
5. RETENTION PLAYBOOK — 10 tactics ranked by effort vs impact
6. METRICS DASHBOARD — 5 numbers to track weekly with healthy/danger ranges
#churn#retention#saas#customer-success#subscription

Works with

chatgptclaudegemini

💡 Pro Tips

  • •Reducing churn by 5% can increase profits by 25-95%
  • •Talk to 10 churned customers before building any retention features
  • •Involuntary churn (payment failures) is the easiest to fix — start there

✨ Example Output

WARNING SIGNAL #1: Login frequency drops from 5x/week to 1x/week
INTERVENTION: Trigger 'Here's what you missed' email + CS check-in after 14 days.

QUICK WIN: Add cancellation survey with 'What would make you stay?' routing to live agent. Recovers 15-20% of cancellations.