AI Predictive Churn & Retention

Predicts customer churn 30-90 days before event: ML ingests product usage behavior support tickets NPS scores contract data produces ranked at-risk list recommended retention.

• Predict churn 30-90 days before event
• Feature importance per customer
• Recommended retention action per at-risk account
• CLV-adjusted retention spend optimization

• Reduce churn rate 15-25%
• Focus retention spend on highest-CLV accounts