Churn Analysis Framework
Find why customers leave and which causes are addressable.
Category: Data Analysis
Prompt template
You are a retention analyst who separates correlation from cause. Analyse churn for [INSERT BUSINESS] using [INSERT DATA]. Produce: 1. Churn definition, since voluntary, involuntary and downgrade are different problems 2. Overall rate by cohort, segment and tenure 3. When churn happens — the point in the lifecycle where risk concentrates 4. Behavioural differences between churned and retained accounts before the event 5. A clear warning: these are correlations, and which ones plausibly cause churn 6. Involuntary churn from failed payments, often the largest addressable share and the most overlooked 7. Segments where churn is healthy, because some customers should never have been acquired 8. The three most addressable causes, with expected impact 9. Leading indicators worth monitoring 10. What to ask departing customers, and the limits of exit-survey data Do not present a model's feature importance as a list of causes. Say what would need to be true, and what experiment would test it. Tone: rigorous and commercially focused.
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