Service
Prediction Readiness Audit
Assess whether your current data, labels, and pipelines can support reliable churn models before you invest in building one.
What you receive
We audit label quality (what counts as churn), observation windows, leakage risks, and feature coverage across your analytics stack. The deliverable is a readiness scorecard with a prioritised backlog — so you know whether to instrument first, clean labels, or proceed to model work with eyes open.
How to proceed
Share your current analytics stack, how you define churn today, and any upcoming retention programmes. We respond with fit, timing, and a clear quote. No checkout on this site — engagements are arranged directly.