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Retention and churn analysis for a subscription app

Analyze user retention, churn patterns, and possible causes from subscription-app metrics.

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Prompt

Analyze this subscription app retention data: {metric_export}. Cohort window: {cohort_window}. Subscription model: {subscription_model}. Recent changes: {recent_changes}. Desired output: {desired_output}. Provide observations, churn hypotheses, and experiment ideas.

What this prompt does

  • Reads retention or subscription metrics and generates observations and hypotheses.
  • Suggests test ideas tied to recent product changes.
  • Frames findings as hypotheses, not certainty.

Tips for this prompt

  • Include {recent_changes} so the model does not invent causes.
  • Use consistent {cohort_window} definitions.
  • Pair analysis with paywall or onboarding experiments.

How to use the prompt

  • Paste {metric_export} with {cohort_window}, {subscription_model}, {recent_changes}, and {desired_output}.
  • Validate hypotheses against session replay or support data.
  • Prioritize one experiment from the output.
retentionchurnsubscription appanalytics promptproduct metrics{metric_export}{cohort_window}{subscription_model}{recent_changes}{desired_output}

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