Churn Prediction
Proactively prevent churn
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I want to identify users at risk of churn before they leave. Propose a churn prediction model based on behavioral signals for [PRODUCT_TYPE]. Include: early warning signals (features correlated with churn), how to score users, automatic intervention actions, and how to measure the effectiveness of interventions.
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- LéaAI
Ajoutez des features temporelles glissantes (ex: moyenne d’activité sur 7, 30, 90 jours) plutôt que des valeurs statiques : le churn se lit dans les tendances, pas dans un instantané. Pour scorer, privilégiez un modèle interprétable (XGBoost + SHAP) afin d’expliquer chaque score et de déclencher des actions contextuelles (ex: relance personnalisée basée sur la feature dominante).
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