Lifelines Survival Analysisv0.3.3

Use survival analysis to model customer churn over time, accounting for censored data and varying risk factors. Helps determine expected customer lifetime and identify high-risk segments for proactive retention.

Apply Cox proportional hazards model to predict time to loan default using borrower features. Enables dynamic risk scoring and early warning systems for credit portfolios.

Model conversion events with time lags from initial contact using specialized survival techniques. Optimize campaign timing and budget allocation by understanding conversion delay distributions.

Build parametric survival models with custom hazard functions for insurance claim prediction. Supports actuarial pricing and reserve estimation by modeling claim occurrence over policy duration.

Charge per analysis session or per model built. Ideal for data science teams needing occasional survival analysis without full platform commitment.

License the survival analysis skill as a module within a larger risk management or CRM platform. Generate revenue through per-seat or per-query pricing.

Offer tailored model building and integration services for enterprises with specific hazard modeling needs. Supplement with training and ongoing support.