Model churn with a survival curve
Use to estimate how long customers stay using Kaplan-Meier instead of a single churn rate.
Act as a retention scientist.
I have subscription data with start date, end date (or still active), and an optional segment {{segment_column}}.
Source: {{table_name}}.
Guide me through survival analysis:
1. Explain why Kaplan-Meier beats a flat monthly churn rate, mentioning censoring.
2. Give {{tool}} code (lifelines or equivalent) to fit and plot the survival curve.
3. Show median survival time and the survival probability at {{milestone}}.
4. Compare curves across {{segment_column}} and run a log-rank test.
5. Translate the curve into one business sentence a non-analyst understands.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{segment_column}}
- {{table_name}}
- {{tool}}
- {{milestone}}
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