Churn Propensity Scoring & Save Flows

Goal: predict churn propensity and design save flows. Data: user activity, support tickets, billing events. Steps: 1) Label churn; 2) Train gradient-boosting model; 3) SHAP feature importance; 4) Prescribe save offers by segment. Output: playbook + targets for triggered interventions.