How CMOs Are Using AI to Forecast Churn Before It Happens

The CMO Podcast with Fexingo: Marketing Leadership, Budgets, and Executive Strategy · Jul 8, 2026 · 10m · transcript

In this milestone 100th episode, Lucas and Luna dig into a specific marketing analytics tactic: using machine learning models to predict customer churn before the customer ever signals intent to leave. They walk through a real case from a mid-market SaaS company that reduced churn by 22 percent in two quarters by acting on AI-generated risk scores. Lucas explains the difference between a basic logistic regression and a gradient-boosted model in plain language, why most churn models fail because of stale data, and the one metric CMOs should track instead of retention rate. Luna pushes back on…