Executive's Guide to AI-First Churn Reduction: From Fighting Fires to Surgical Churn Prevention

This guide provides executives with a blueprint to:

• Transform reactive, resource-intensive customer retention efforts into proactive, targeted interventions using ML-based prediction
• Identify at-risk customers 6-9 months before traditional warning signs appear
• Efficiently action risk consistently without overwhelming resources
• Measure score performance, revenue impact, and ROI
• Improve gross retention by 5-10 percentage points while reducing operating costs