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 other fields are pulled from the database.

This example uses the stream telco_coxreg.str, which references the data file telco.sav. The data file is in the Demos folder and the stream file is in the streams subfolder. See the topic Demos Folder for more information.

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