AI RETENTION
MANAGER.
Detect churn risk and run save journeys with guardrails. Find hidden segments and trigger outreach.
Key Capabilities
- Proactive, not reactive: Monitors churn signals and launches playbooks before customers leave.
- Personalized at scale: Uses customer context and history to tailor messages, offers, and next steps.
- Governed retention operations: Eligibility rules, contact limits, and escalation gates prevent risky or spammy outreach.
What it Does
- Detect churn risk from events & usage
- Build dynamic segments and triggers
- Run save and reactivation playbooks
- Coordinate offers with pacing rules
- Escalate sensitive cases to humans
- Write outcomes back to CRM/CDP/DWH
Orchestration Flow
- Flow 01 — Save Escalation: AI detects churn risk -> Specialist resolves dissatisfaction -> AI completes follow-up.
- Flow 02 — Reactivation: AI identifies inactive customers -> Runs paced win-back journey -> Tracks conversion in CDP.
- Flow 03 — Service Recovery: AI detects negative sentiment -> Triggers recovery playbook -> Closes loop with NPS.