displayName
Customer Churn Analysis
workflowKind
governance
triggerType
scheduled
typicalCadence
monthly
complexity
cross-team
description
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.