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.