Using Cox Regression to Model Customer Time to Churn

As part of its efforts to reduce customer churn, a telecommunications company is interested in modeling the "time to churn" in order to determine the factors that are associated with customers who are quick to switch to another service. To this end, a random sample of customers is selected and their time spent as customers, whether they are still active customers, and various demographic fields are pulled from the database.

This information is collected in telco.sav. See the topic Sample Files for more information. Use Cox Regression to determine which attributes are associated with shorter "time to churn". The company is especially interested in the relationship of the company-assigned Customer category to churn, so be sure that the final model contains this variable.

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