STAY — Retention Agent
Predictive health monitoring and proactive churn prevention.
Overview
STAY scores every customer for churn risk, monitors those scores continuously, and catches signals 45 days before they typically become a cancellation conversation. When a customer's health score drops below a threshold you define, STAY triggers an automated intervention or a CS alert — before the customer has decided to leave. Weekly reports and daily Slack alerts are delivered automatically. There is no dashboard to check.
The problem it solves
By the time a customer tells you they are leaving, you have already lost them. The signal is almost always visible weeks earlier in usage data — declining logins, reduced feature activity, increased support friction. Most teams do not catch it in time because monitoring the entire customer base manually does not scale. STAY handles that monitoring automatically, connecting to Stripe and your product data in under a day and delivering a CS team to-do list — not a dashboard.
How it works
- Product usage data (logins, feature activity, session frequency)
- Subscription and renewal data (contract end dates, MRR per account)
- Support ticket history (volume and sentiment as health indicators)
STAY builds a health model from your historical churn data — identifying which usage patterns preceded churn in your specific customer base. It scores every customer daily, flags accounts whose trajectory matches early churn patterns, and triggers either an automated re-engagement sequence or a CS alert with the specific signals that caused the flag.
- Daily health scores per account
- Early churn alerts to CS team or CRM
- Automated re-engagement sequences for defined triggers
- Monthly retention report with cohort analysis
Integrations
For a custom integration or a tool not listed above, see Integrations.
Proof metric
"–35% churn reduction on average across deployments in 90 days. 45-day early warning before an account churns. 4× more accounts per CSM with the same headcount."
Measured at Day 45 across STAY deployments. Setup time under 1 day from Stripe connection to first risk report.
FAQ
Setup requires read-only access to your Stripe account — we handle everything else. Ongoing management is zero. Weekly reports are delivered automatically. Your CS team receives Slack alerts with specific recommended actions. There is no dashboard to check, no model to retrain, and no data work required from your team.
We connect to Stripe and your product data in under a day. No engineering resource required from your side. Your first full churn risk analysis — including which of your current customers are already at risk — is ready within 24 hours of setup completion.
Typically 75–85% precision in the first month, improving to 90%+ over 3 months as the model learns your customer patterns. We track every prediction against actuals so you can see proof.
Stripe data alone gives us billing signals — payment failures, downgrades, inactivity. A CSV of usage data works too. A minimum of 6 months of data is recommended, but we work with what you have and refine the model over time.
The average SaaS company loses 5–7% of revenue per year to churn that was predictable.
We show you exactly which accounts are at risk right now — using your live Stripe data — before you commit to anything. Your first risk report is ready in 24 hours. You only pay at Day 45, once the model has proven it catches churn before it happens.