Dataiku Guidebook

AI for Customer Churn

Predict and Prevent Churn in the Age of AI

Today's most successful companies address customer churn by leveraging AI to build models that accurately predict churn and take action before a customer leaves.

Get the how-to guidebook on churn that walks through all the required steps for building a model, from getting data, preparing it, and enriching it to feature engineering, visualization, model evaluation, and deployment.


Get the Guidebook

Take Action by Building Targeted Marketing Campaigns

This Guidebook Includes:

  • Code samples for technically-included readers

  • An overview of the two basic types of churn: subscription churn and non-subscription churn

  • Common pitfalls and suggested next steps