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Where Are They All Going?: Analyzing Customer Churn

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Customer churn is one of the key factors in business growth. Too much churn can reduce a firm’s customer base.

So it’s important to understand and be able to predict with survival analysis at what rate customers are leaving.

In a couple of posts, Dayne Batten, a data scientist at Republic Wireless, explains the different method in survival analysis.

From the basics: Kaplan-Meier estimators, survival curves, and the log-rank to the more advanced Cox Regression, Dayne clearly illustrates the different methods using the R Survival Package.