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Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models

S. Neslin,Sunil Gupta,2 Authors,Charlotte H. Mason

2006 · DOI: 10.1509/jmkr.43.2.204
580 Citations

TLDR

A descriptive analysis of how methodological factors contribute to the accuracy of customer churn predictive models is provided, based on a tournament in which both academics and practitioners downloaded data from a publicly available Web site, estimated a model, and made predictions on two validation databases.