Customers sit across risk levels from Very Unlikely to Churn through Critical Risk. Reaching someone at high risk costs a fraction of winning back someone who has already left.
Purchase probability separates Ready to Buy from Dormant and Cold Lead. Your budget goes to customers showing intent, not to everyone with an address.
The predicted value of the next purchase tells you how large the order could be if it happens. Predicted lifetime value weighs that against how likely they are to keep coming. Both matter, and confusing them costs money.
Predicted RFM shows who's drifting toward At Risk or Lost while they're still Champions. That's a retention conversation instead of a recovery campaign.
Brand default, 30 to 360 days, or a specific upcoming month. A grocery repurchase cycle and a luxury one shouldn't share a forecast window.
The prediction lands where your campaigns already live. Nothing gets exported, interpreted or handed to another team to act on.
Layer AI Segments into Super Segments with include and exclude logic; high churn risk who are also high-value loyalty members, for instance. Prediction sharpens your existing rules rather than replacing them.
Your marketer picks the metric and the tier in the segment builder they already use. The modelling stays invisible, which is exactly where it belongs.
Retail, D2C & Restaurant Brands Worldwide
Churn risk, purchase readiness and the RFM state a customer is heading toward, filtered into an audience you can send to today. Watch a prediction become a list of names.
