Churn Reason Analysis and Win-Back Message
Learn from cancellations and reach out respectfully.
Added October 15, 2026. Written with AI assistance and checked for clarity and placeholders; not reviewed by a lawyer, accountant, clinician or other professional. How these prompts are made
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[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it (what [VERIFY] means).
Analyse churn. List of cancelled customers with reasons given: [CHURN_DATA]. Period: [PERIOD]. What we changed since: [CHANGES]. Group reasons, count and rank them, and calculate each share of total churn. Separate controllable reasons (service, onboarding) from uncontrollable ones. Propose fixes for the top three with owners placeholders. Write a win-back email under 100 words that acknowledges what they said and mentions only relevant changes. Add rules: contact only those who agreed to be contacted, wait the stated period and respect opt-outs [VERIFY]. Return a table and a recommended action plan. Add a worked churn table: reasons given by 40 customers: price 12, missing feature 10, no longer needed 8, poor onboarding 6, other 4. Shares: 30, 25, 20, 15, 10 percent. Controllable: poor onboarding, missing feature perhaps. Provide the win-back conditions: wait the stated period, offer help only if the issue is resolved, and keep a cool-off list for those who say no.
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Invented reasons from 40 cancellations: price 12; missing feature 10; no longer needed 8; poor onboarding 6; other 4. Total 40. Shares: price 30 percent; missing feature 25; no longer needed 20; poor onboarding 15; other 10. Controllable: onboarding and, in part, the missing feature. Fix: a guided first week; owner placeholder. Win-back email (invented, 62 words): "You told us setup took too long. Since then we have added a guided first week and a named contact. If you would like to try again, reply and we will set you up. If not, thank you for your time." Contact only people who agreed to be contacted.
Illustrative only, made-up data. Your results will differ and must be reviewed.