If your company is like most businesses, some of your customers churn, or stop using your product. If you know ahead of time a specific customer will churn, you can reach out to that customer. To illustrate, consider the following example. We recently analyzed millions of customers for an insurance company, and were able to point out which specific factors predict churn. We went much further, and built a machine learning model that automatically predicts what the chances are that a given customer will churn in the next 3 months. Teaching machines to predict churn, and communicate which customer attributes predict churn, allows us to help you build your organizational playbook for acquiring and keeping happy customers. For example, your client success organization can reach out before there's a problem, your marketing department can reach new customers that are less likely to churn, and your sales organization can bring these better customers on board.