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.
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.
Similar agents
Finds leads matching your ideal customer profile, writes personalized outreach, handles first touches, and hands managers only the prospects who reply with genuine interest.
Analyzes the inbound request and the prospect's on-site behavior, assigns a score, and routes leads to managers by priority and fit.
Carries the prospect from first contact to closed deal. Sends reminders, shares materials, handles common objections, and hands off to a manager when the prospect is ready.
Reviews a customer's history and tells the rep what to offer next: an add-on product, an upgrade, or complementary services.