“Detecting churn before it happens” – Retention Engine

Identifying customers at risk of churning is one thing. Knowing which customers are worth targeting with a retention measure is another. This white paper describes the path from forecast to decision: calibrated probabilities and a threshold calculated from your costs. In testing, this threshold came out at 0.27 rather than 0.5 – and costs fell by 40.5%.