See churn coming. Act before they leave.
Customer success agents identify at-risk accounts from usage patterns, support tickets, and engagement signals — intervening before churn becomes a cancellation.
The challenge
SaaS companies lose 5-7% of revenue to churn annually, and most only discover an account is at risk when the cancellation email arrives. Usage data, support interactions, and billing signals contain early warnings — but connecting them into a predictive signal requires ML infrastructure most teams don't have.
How JITM.ai helps
Upload account-level data: login frequency, feature adoption, support tickets, NPS scores, billing history. JITM.ai trains a churn classifier that scores every account, and agents can trigger retention workflows automatically for high-risk accounts.
What you can predict
Churn probability, expansion likelihood, support escalation risk, feature adoption propensity, ideal upsell timing, and account health scores.
Why it matters
Reducing churn by just 5% can increase profitability by 25-95%. Proactive outreach to at-risk accounts converts 20-30% of would-be churners into retained customers. The model pays for itself with a single saved account.