Move beyond dashboards and churn scores. Recommend the next best action that maximizes lifetime value, for every customer, every day.
Illustrative figures, except the Vitallogix result, which is from a live deployment.
Identify who is at risk before they leave.
Value each customer to focus investment.
Estimate what actually drives behavior.
Target only customers an action will move.
Rank the right product or offer per customer.
Learn sequential strategies that compound value.
Choose actions under budget and constraints.
Measure realized uplift against a holdout.
A churn model tells you who might leave. Customer Decision Intelligence tells you what to do about it: the specific action that maximizes lifetime value, and whether it is worth taking at all.
Actions are grounded in causal and uplift modeling and measured against holdouts, so you act on what actually moves outcomes, not correlations.
It sits on top of your existing data and CRM, scoring customers and writing recommended actions back into the tools your teams already use.
Yes. Optimization chooses the best set of actions within whatever budget, contact, or eligibility constraints you set.
Start with a roadmap that quantifies LTV upside from next-best-action decisioning.
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