Use case · Customer success
See which accounts are likely to leave while there is still time to act
Churn prediction turns the signals you already have into a ranked, explainable view of at-risk accounts, with the drivers behind each score.
The problem
Customer success and revenue teams own retention, but the first clear sign an account is leaving is often the cancellation itself, when the renewal conversation is already over. The earlier signals existed; they were spread across systems nobody reads side by side.
The outcome
A ranked, explainable view of which accounts are likely to churn, early enough to act. Each score carries the drivers behind it, so the account owner sees who is at risk and why.
What it needs
Product usage, support history, billing, and engagement signals from your own systems. The model is only as honest as its inputs, so this starts from data you already trust.
How it works
Your signals are unified in the adaptive database, one system that holds the data and learns from it. From there the platform proposes a scoring model for your retention question, trains it on your own data, and validates it before anyone relies on a score. That proposal-train-validate sequence is what Orama calls auto-AI.
Controls and approvals
Models are trained, versioned, and validated on your data. Scores expose their drivers rather than arriving as a number from a black box, and a person owns the decision to act on them. Nothing happens to an account automatically because a model said so.
Product fit
Orama Zetta, the enterprise platform. Churn prediction draws on the platform's adaptive database and auto-AI, which is why it is delivered there rather than on the managed cloud.
Explore Orama ZettaWhere it runs
Orama Zetta is deployed in your own cloud, on-premises, or on dedicated infrastructure, and churn prediction runs wherever your deployment does.
Where this stands
Churn prediction is in early access: the capability is real and young, we scope each engagement individually, and we publish no customer results for it yet. When there is evidence worth showing, we will show it here.
A call scopes your signals, your systems, and whether early access fits you.