Survival analysis is a branch of statistics used to analyze the expected duration of time until an event occurs — in SaaS, this is used to model how long customers stay before churning (Customer Lifetime).
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How is survival analysis different from standard churn rates?
While churn rates tell you WHO left, survival analysis (like the Kaplan-Meier curve) shows you WHEN they are most likely to leave. It helps identify if there is a "danger zone" (e.g., month 4) where the risk of churn is significantly higher.
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Mastered Survival Analysis for SaaS? Now try to guess the related 6-letter word!
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