Customer-Churn-Case-Study---Logit-Regression

The study involves predicting the attrition rate of ~72000 customers of a Telco company, and use insights from the model to develop an incentive plan for enticing would-be churners to remain with the firm. The data are available in one data file with 71,047 rows that combines the calibration and validation customers. “calibration” database consisting of 40,000 customers and a “validation” database consisting of 31,047 customers. Each database contained (1) a “churn” variable signifying whether the customer had left the company two months after observation, and (2) a set of 75 potential predictor variables that could be used in a predictive churn model.