Case Study: Churn Prediction achieves reduced churn and improved customer retention with Dataiku

Start the Enterprise AI Journey with Churn Prediction

Churn Prediction engaged Dataiku to start an enterprise AI journey focused on reducing customer attrition. The challenge was to build a reliable, production-ready churn model that avoids common pitfalls (leaking future data, flagging customers who already decided to leave, and treating churn modeling as a one‑shot study) and that can use both structured and unstructured sources to give a 360° view of customer behavior.

Dataiku delivered an end‑to‑end solution—data wrangling to combine CRM, web analytics and text/call data, a suite of predictive algorithms for model selection, and model deployment and automation to move from POC to production. Using Dataiku’s platform, customers have driven measurable impact; for example, Buildertrend achieved a 60% churn reduction for a specific cohort, demonstrating Dataiku’s ability to turn churn models into scalable business value.