Predictive churn analysis uses AI and machine learning to identify customers at risk of leaving based on behavioral patterns, transaction history, and engagement levels. CRM platforms analyze key indicators such as declining purchases, reduced interactions, and support complaints to predict churn risks. Businesses use these insights to implement proactive retention strategies, such as personalized offers, improved customer support, and loyalty programs. Reducing churn increases customer lifetime value and strengthens brand loyalty.