Daily Prompt Pack: Churn Rescue — Plug the Leak Before It Sinks You: The retention audit

You can’t fix churn you haven’t diagnosed. That’s why I wrote this pack — three prompts that find the leak, draft the recovery sequence, and dig into your onboarding code where most of the drop-off actually lives.

Use one, use all three. They’re meant to copy-paste straight into the model named in each section.

[Claude]

I run a SaaS with $MRR and %monthly churn. I have exit survey data, support ticket logs, and cancellation reasons in a CSV. Build a churn diagnostic that: (1) ranks root causes by revenue impact, (2) flags the top 3 fixable issues, and (3) returns a 90-day retention action plan in a markdown table with owner, effort, and projected lift.

[ChatGPT]

I need a churn rescue email sequence for SaaS users who cancelled in the last 90 days. My product solves X for Y. Generate 3 personalized email templates (win-back, feedback-ask, feature-announce) with subject lines under 50 chars, one clear CTA per email, and a send cadence. Output as JSON with keys: subject, body_html, send_day, expected_reply_type.

[Cursor]

Audit my user onboarding flow for churn risk. I’ll paste the component tree, event tracking code, and onboarding funnel metrics. Identify the 3 biggest drop-off points, suggest code changes to fix each, and estimate expected retention lift. Output as a markdown checklist with file paths and function names to modify.

Full archive at aicofounderstack.com/tag/prompt-pack.