It’s simple: churn happens when businesses and customers part ways. For any business, this can be a devastating problem; fortunately, predictive analytics can help anticipate and mitigate this loss.
To help you get started predicting and preventing customer churn, we've created the following guidebook where you'll discover:
- Types of churn specific to different businesses.
- 7 steps for building a model, from getting data, to feature engineering, visualization, model evaluation, and deployment.
- How-to: formulate an action plan based on predictions.
