Design a churn early-warning system for [CompanyName]’s [SubscriptionPlan] customers. Define a health score combining product usage, support sentiment, billing risk, and engagement recency. Segment risk into Green/Amber/Red with thresholds aligned to [ChurnRateGoal]. Map playbooks for each risk band (education, rescue offers, executive outreach).
Output format:
Health score formula (weighted factors) referencing [TelemetryEvents] and [SupportTags].
Markdown table: Risk Band | Threshold | Signal(s) | Playbook | Channel | Owner | Target Outcome | SLA.
JSON for webhook_triggers to [CRMPlatform] / [CSPlatform] with event names, payload fields, and retry policy.
Ensure measurable outcomes (save rate, NPS uplift) and compliance with consent preferences. Include a feedback loop for model recalibration each [Timeframe].