Churn Monitoring Operations

Churn monitoring operations run on a three-frequency cadence integrated with the health modeling operations from BI-301h. Daily: automated signal ingestion and churn score recalculation. Any account whose churn risk crosses a defined threshold triggers an automated alert to the account manager and their leadership. Weekly: churn risk review across the portfolio. The team reviews all accounts above the risk threshold, validates the automated assessments, and assigns interventions to at-risk accounts that have not yet received one. Monthly: churn pattern review. Analyze the month's churn signals across the portfolio for cohort-level patterns, archetype distribution, and leading indicator calibration.

1. Daily Automated Operations The automated pipeline ingests new signal data, recalculates churn scores, and generates alerts. No analyst time required for steady-state operations. Analyst time is triggered only when an alert fires. The daily recalculation ensures that no account crosses a risk threshold without an immediate notification — the gap between detection and notification is less than 24 hours.
2. Weekly Risk Review Sixty-minute team session reviewing all accounts above the risk threshold. For each account: validate the automated score, review the detected signals, confirm the matched archetype, and assign or adjust the intervention. The weekly review catches context that the automation misses and ensures that every at-risk account has a named intervention owner with a defined action plan.
3. Monthly Pattern Review Two-hour strategic review examining portfolio-level churn patterns. Are certain cohorts showing elevated risk? Are certain archetypes becoming more prevalent? Are leading indicators shifting? The monthly review calibrates the model and identifies systemic issues that require strategic response rather than account-by-account intervention.