Your AI retention layer monitors customer behavior, detects churn intent, understands why customers are leaving, and takes action before revenue disappears.
Implementation friction
Onboarding stalled at SSO configuration; three admin sessions ended without completing setup.
By the time an account clicks cancel, the decision was made weeks earlier. Customers drift quietly — fewer sessions, abandoned features, unanswered tickets. Churnlane reads that drift and steps in while the relationship is still recoverable.
Churnlane intervenes between Drifting and Intent — where retention is still cheap.
Three interconnected systems run continuously across your billing, product and support data.
Agents watch behavioral, product, billing and support signals continuously and surface accounts drifting long before they cancel.
Every at-risk account gets a reasoned diagnosis — the cause, the evidence behind it, and the intervention most likely to work.
Autonomous agents talk to the customer and execute approved actions inside your billing, support and product stack.
When an account signals intent, the agent opens a real conversation, diagnoses the underlying problem and executes the fix — autonomously, inside boundaries you set.
Every action runs inside the permissions you approve. Discounts, credits and plan changes stay within limits you define.
The same intelligence answers your inbox with full account context — subscription, usage, health, history and the actions it's allowed to take. It doesn't just reply. It resolves.
Track exactly what was at risk, what the agent touched, and what stayed. Figures shown are example data from a demo workspace.
Detect product disengagement well before cancellation and re-activate the accounts that matter.
Identify usage decay and declining perceived value as credits and prompts fall off.
Catch cancellation intent in the moment and intervene with a fitting offer automatically.
Spot teams reducing usage and activate the retention playbook built for technical buyers.
Account health, churn probability, agent activity and intervention outcomes — nothing decorative, every element earns its place.
Churnlane pulls billing, product and support signals from the tools you already run, and writes actions back where they matter.
A single SDK streams identity and product events. Everything else — scoring, reasoning, intervention — happens server-side.
npm install @retain/retentionretention.identify({
customerId: "cus_123",
plan: "pro"
});Pricing plans coming soon. Join the waitlist to be the first to know.
For early SaaS teams finding their retention baseline.
For growing subscription businesses running real playbooks.
For companies with significant recurring revenue.
Detect churn earlier. Understand why customers leave. Let AI intervene before revenue disappears.