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 how to create the churn modeling process. The presenter discusses the basics of creating a churn modeling dataset, transforming variables, and building a churn model utilizing logistic regression. Rapid Insight’s data platform is used to demonstrate the churn modeling building blocks.