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Churn Revenue Optimization

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Model: Ensemble Soft-Voting

National Subscriber Base
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Cumulative Wireline & Wireless
Total Wireless Base
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Mobile Segment Base
Total Wireline Base
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Fixed-Line Segment Base
High Risk Service Circles
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Circles with Churn Risk ≥ 50%

National Subscriber Trend Line

Historical wireline/wireless migration

Circle Subscriber Base Inspector

Service Area Risk Rankings

Predicted probability of MoM decline ≥ 5%

Circle Profile Risk Assessment

Circle Subscriber Base Status (Risk) Wireless Growth Wireline Ratio
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Retention ROI Optimization Curve

Revenue Saved vs Campaign Cost by Risk Threshold

Optimized Retention Metrics

Best Threshold
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Net Savings
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Projected ROI
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Optimization logic: Targets retention budget only towards service circles where churn probability exceeds the optimal threshold. Assumes customer ARPU of  ₹200/mo and average retention campaign costs of  ₹50/sub.

Global Feature Importance (SHAP Analysis)

Model Performance Benchmarks

Model Configuration Accuracy ROC-AUC Precision Recall F1 Score
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Tailored Strategic Recommendations per Service Circle

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Interactive Churn Simulation

Adjust circle stats to test predictive responses

Model Inference Summary

Fill out the simulation parameters and trigger inference to view prediction risks and optimized recommendations.