Econometric Models to Predict Churn Risk
A Regional Bank Based in the Southeast

Identify customers with like characteristics for predictive analytics, retention campaigns, and cross-sell opportunities


Several econometric models were completed to predict churn risk, propensity to purchase, and segmentation. Targeted campaigns were developed and tested on a sample of customers. Results from the tests were used to refine the campaigns, and these campaigns were fully implemented. Performance reporting validated the results and return on investment from the marketing and customer relationship expenditures.


Performance reporting and campaign measurement are still ongoing.    Expected results were a 10% reduction in churn.

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