Churn Prediction is the process of using data analytics and AI to identify customers at risk of leaving a business or canceling a service. CRM systems analyze behavioral data, customer support interactions, purchase frequency, and sentiment trends to assess churn risk. Businesses use churn prediction to implement proactive retention strategies, such as personalized offers, loyalty programs, or enhanced customer support. Reducing churn improves revenue stability and customer lifetime value (CLV). Industries such as SaaS, telecom, and subscription-based services heavily rely on churn prediction to maintain long-term customer relationships.