By the time it reaches you, the decision is usually made.
The signals arrive weeks before the cancellation: usage drops, tickets rise, the champion goes quiet.
Nobody is watching every account every week, so the pattern is only obvious in hindsight.
A save attempt after notice is given is a discount conversation, not a relationship one.
Every account watched, every week.
Alex tracks the signals continuously and routes a real risk to a human early enough to act.
Usage, ticket volume, sentiment, and engagement tracked per account.
Patterns weighed together rather than one metric in isolation.
A named human gets the account and the reason, with time to act.
A check-in sent when that is the right first move.
Signal in, work moved.
The same governed path every job follows, scoped to this one.
Product, support, and engagement data read continuously.
A combination that historically precedes churn is identified.
Severity and urgency weighed against your thresholds.
Routed to an owner with the evidence attached.
A check-in, a call, or an internal fix, as your playbook dictates.
The signal, the action, and the outcome on the record.
At-risk accounts are surfaced to a human rather than handled automatically. You can change it per capability, and every action is logged either way.
Saves that happen before notice is given.
“ScendCore gives us a governed AI execution layer that follows up, routes work, and keeps humans in control. Fewer missed opportunities, faster action.”
who find out about churn too late to change it. Now the signal arrives early.
for whom retention is cheaper than acquisition, but harder to staff.
Catch the risk
while you still can.
Twenty minutes, on your own pipeline. No commitment.