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Cohort Analysis for Subscription Retention

Structure a cohort analysis to understand and improve retention for subscription-based services.

Implement a cohort analysis that reveals retention and churn patterns by customer group, enabling preventive actions.

cohortretentionchurnsubscriptionLTV

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Prompt objective

Implement a cohort analysis that reveals retention and churn patterns by customer group, enabling preventive actions.

Real use case

Premium Coffee Club, with 3,200 subscribers, knows the overall churn rate is 12%/month but cannot tell if it's improving or worsening. They suspect Black Friday cohorts churn faster than organic subscribers.

Customize these fields first

COMPANY NAMESUBSCRIPTION TYPENUMBER

Replace the placeholders with your own context before you run the prompt. That usually improves the first output more than adding more instructions later.

Prompt

Structure preview
Structure a retention cohort analysis for [COMPANY NAME], a [SUBSCRIPTION TYPE] subscription service with [NUMBER] active subscribers.
**1) Cohort Definition:**
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- ████████ ███ ████████ ███████ ████████ █████ ████████
- ████████ ███ ████ ████ ███████ ████████
████ ██████ ████████
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How to use this prompt

  1. 1Replace the key placeholders first: COMPANY NAME, SUBSCRIPTION TYPE, NUMBER.
  2. 2Replace any bracketed placeholders like [this] with your own context.
  3. 3Add extra background information when you want more tailored results.
  4. 4Combine multiple prompts in one conversation when you need a richer output.
  5. 5Save your best-performing prompts so they are easy to reuse later.

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