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Use Cases on Customer Churn Prediction and Prevention Using Machine Learning and Data Science
Key Highlights $46 Million Revenue lost to churn Data Model 97% Accuracy | 98% Precision | 97% Recall Result Campaigns targetted at customers likely to churn Developed using data science Customer retention strategies Analyzed 1000s of data $46 Million Lost to churn Model Performance 97% Accuracy 98% Precicion 97% Recall Customer Retention Strategies Retention campaigns