Customer Retention Monitor

Predict churn probability with interactive what-if scenarios

Checking API…

Your parameters are sent to a FastAPI backend, which attaches the remaining baseline (average) features, scales the numeric features, and then runs the XGBoost classifier to return predictions.

NOTE: The 7 features listed here are the most important features with the highest influence on the prediction. The remaining features are fixed values based on an average user.

Customer Attributes

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Churn Probability
Awaiting prediction
Model threshold: —

Key Metrics

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CSAT Score
Tenure (mo)
Logins/Month
Total Revenue

Risk Factors

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Higher means higher churn risk for that factor.