Learn how to capture at-risk customers with this how-to guidebook to understand, predict, and build your churn prediction model.
| | | | Capture At-Risk Customers with Predictive Analytics |
| | 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. |
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