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Found 3 Skills
Analyze user retention and churn using survival analysis, cohort analysis, and machine learning. Calculate retention rates, build survival curves, predict churn risk, and generate retention optimization strategies. Use when working with user subscription data, membership information, or when user mentions retention, churn, survival analysis, or customer lifetime value.
Expert customer health scoring and analytics guidance. Use when designing health scores, building churn prediction models, analyzing usage metrics, identifying at-risk accounts, creating executive dashboards, or performing cohort analysis. Use for leading indicator development, customer data enrichment, risk escalation frameworks, and retention analytics.
Use when net revenue retention is below 110%, when churn patterns are reactive instead of predictive, when expansion revenue lacks systematic triggers, when onboarding fails to reach activation milestones, or when customer health scoring does not exist. Use when customer base is large enough for patterns (50-500 accounts) but retention is managed manually.