Churn prediction
Spots customers on the verge of leaving and wins them back with a personal touch before they ever say "I'm cancelling."
When to use it
Subscription models: SaaS, banks, telecom, delivery, fitness.
How it works: example
- Input
A base of 5,000 active service customers, and you need to find the at-risk ones.
- Agent actions
The agent looks at login frequency, activity, and support tickets, then assigns a churn score.
- Result
A dashboard surfaces 120 at-risk customers; the success manager calls them first and saves 25-30.
Target business impact
- 1 month
20-30% of at-risk customers recovered
- 3 months
-10-15% overall churn
- 6 months
the agent pays for itself many times over
Counterparty check
A dossier on any company in the world from 64 sources and 184 sanctions and watch lists, with a deterministic risk score and a source link for every fact. Three checks free.
3 checks free, no card. Then from 149 UAH one-off.