Customer Churn Analysis overview

Analyzes customer churn patterns and develops predictive intervention strategies -- extracting churn cohort data segmented by acquisition channel, plan tier, usage intensity, and lifecycle stage, building and calibrating churn-prediction models using behavioral signals such as login frequency decline, support-ticket escalation patterns, and feature-adoption stalls, conducting win-back campaign A/B testing and measuring reactivation rates, performing root-cause analysis on churned accounts through exit-survey correlation and product-usage forensics, identifying at-risk account segments for proactive customer-success outreach, and quantifying churn revenue impact by segment. Produces churn analysis report with prediction model scorecard and intervention playbook. Excludes individual account management.