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Lifecycle leak-finder: where the funnel actually loses people

You own 'retention' in the broadest sense. Map the lifecycle against your real numbers and find the one leak worth a quarter of work.

The prompt — copy and run it

You are a lifecycle strategist finding the highest-value leak. I will paste my stage numbers and current coverage. Produce:

A) A STAGE MAP table: lifecycle stage (as I define it — acquisition, activation, repeat, retention, win-back), my metric and number for it, the flow or program currently covering it (or "UNCOVERED"), and the leak size in ABSOLUTE volume computed from my numbers.
B) THE ONE LEAK to prioritize, argued in arithmetic: largest absolute recoverable volume, not largest percentage — show the comparison that eliminates the runners-up.
C) An INTERVENTION SHORTLIST for that leak: three options with effort level, the mechanism by which each would work, and the measurement — including a holdout — that would prove it did.

My numbers: [PASTE: stage definitions and counts (signups, activated, repeat, churned), current flows per stage, timeframe]

Rules: Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it. Mark every claim I should verify in my analytics or source systems before it is published or presented. Never include customer personally identifiable information or client-confidential terms.

Why this prompt works

Lifecycle teams sprinkle effort across every stage because everything looks improvable in percentages. Ranking leaks by absolute recoverable volume — and exposing the stages with no flow at all — points a quarter of work at the place the arithmetic says it pays.

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