Find the churn signal 60-90 days before the renewal call
Succesvyx's churn probability engine surfaces at-risk accounts early enough to intervene — and shows the specific behavioral signals that triggered the alert. Your CSM walks into every conversation with context, not just a red flag.
Methodology
How the churn model works
Signal collection across all connected sources
The model ingests usage data from your product analytics, CRM activity, support ticket volume, login frequency, and billing status — updated continuously as new data arrives from your integrations.
Pattern matching against churn precursors
Usage decay patterns, silent account periods, champion departures, spike in support volume, and payment issues are weighted and combined into a churn probability score updated daily.
Alert with reasoning, not just a number
When an account crosses the risk threshold, your CS team receives an alert that includes the top 3 contributing factors — so they can walk into a call with context, not just a yellow flag.
Signal Library
Behavioral signals the model tracks
Usage decay
DAU/MAU ratio declining over 30 days, feature usage dropping below historical baseline
Champion departure
Key contact no longer active in CRM, new primary contact with no QBR history
Support escalation
Ticket volume spike 40%+ above baseline, unresolved critical tickets >7 days
Renewal proximity
Account within 90 days of renewal with health score below 55
Payment friction
Failed invoice, overdue balance, or delayed payment history triggering from billing integration
Engagement gap
No QBR in 90+ days, no marketing email open in 60 days, no CSM-owned activity in CRM
Stop losing accounts to churn you saw coming too late
Connect your CRM and product analytics. First churn alerts appear within 24 hours of setup.