Churn models are used to predict each customer’s likelihood of stopping usage of your products and/or services. By knowing which customers are of high churn risk, you can act to proactively retain those customers. In this webinar we give a high level overview of building a churn model. Starting with the data needed, the presenter discusses the basics of creating a modeling dataset, transforming variables, and building a churn model utilizing logistic regression. The Rapid Insight Analytic Suite is used to demonstrate the model building process.