Churn Modeling From A to Z
In this video introduction to churn modeling, Data Scientist Ruslana Dalinina outlines the steps to predicting customer defections, from defining the churn event to model deployment.
A predictive churn model is a powerful tool for identifying which of your customers will stop engaging with your business and why. With that information, you can built retention strategies, discount offers, email campaigns, and more that keep your high-value customers buying.
In this video, Data Scientist Ruslana Dalinina explains the steps to building a predictive churn model, from identifying the right data to using model outputs to inform marketing and customer service decisions.