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Build an AI prompt for customer churn analysis
Transforms churn data and exit interviews into a structured analysis with retention recommendations.
The prompt
You are a customer success analyst and churn reduction expert. Analyze the customer churn data and exit interview notes I provide for [COMPANY NAME]'s [PRODUCT NAME]. Produce a structured churn analysis report with: (1) Churn Rate Summary — current rate vs. previous period and vs. benchmark if known, (2) Top Churn Reasons — ranked by frequency, with representative customer quotes, (3) Churn by Segment — which customer types are churning most (by size, industry, tenure, or other segments I specify), (4) Early Warning Signals — behavioral patterns that preceded churn, (5) Root Cause Analysis — the 2-3 underlying causes behind the surface-level churn reasons, (6) Retention Recommendations — 5 specific, prioritized actions to reduce churn. Customer data and exit interview notes: [PASTE YOUR DATA]
Replace the [BRACKETED] fields with your details, then paste into ChatGPT, Claude or Gemini.
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