Win-Back After Cancellation
Writes the cancellation exit flow and the win-back sequence, including the honest decision about which former customers to leave alone.
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Running it, start to finish
- Enter the reasons people gave, what has genuinely changed, and the relationship history.
- Apply the do-not-contact rule before sending anything.
- Send the win-back once, and only to the segment whose reason was actually fixed.
What you get back
The output this produces, every time.
- Writes a frictionless cancellation flow, which is what makes a return possible at all.
- Sorts former customers into who to contact and who to leave alone, permanently.
- Requires a specific named change before any win-back message is sent.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Do not add friction at cancellation. A retention wall at the exit is the thing people describe publicly, and it ends any chance of a return.
- No change means no message. A win-back with nothing new is a discount offer, and it teaches your current customers to cancel.
- Fix the return experience first. A customer who comes back to an empty account leaves again within a week.
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Writes the first-thirty-days message sequence around the one action that predicts whether a customer stays, rather than a feature tour nobody reads.
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Support Quality Review
Builds a ticket review rubric that measures whether the customer's problem was solved, plus the coaching notes — instead of scoring politeness and response time.
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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.
