Use case
Catch churn risk early enough to do something
Most churn signals are visible weeks before the client says anything. Tuesday AI watches for them — declining ticket volume, slower client responses, escalation rate changes, satisfaction dips — and flags accounts at risk.
Who it's for
- Account managers responsible for retention
- MSP owners protecting recurring revenue
- Customer success teams in B2B software
Pain points we solve
- Churn 'came out of nowhere' at renewal
- Quiet clients drifting away unnoticed
- No common signal across the team
How Orbit fits
Churn risk surfaced continuously with the contributing signals visible. Action with context, not panic.
Capabilities
What Orbit delivers
Ranked risk flags
Accounts ranked by current churn likelihood.
Signal transparency
Each flag shows the contributing data.
Common use cases
When teams reach for this
- Weekly account-team retention review
- Pre-renewal account-health check
- Quarterly portfolio review
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