Predictive Customer Churn: How Modern Data Teams Build Models That Revenue Leaders Actually Use
Churn prediction models don’t fail because of bad algorithms. They fail because the predictions never reach the people who can act on them. This is the quiet frustration inside most data teams building churn models. The model is technically sound. The accuracy metrics look good. The data scientist presents the results, the VP of Customer […]