FinTech Retention Gains: Combine Churn Scoring with Uplift Modeling
A fintech case study shows how pairing a pre‑churn classifier with an uplift model pinpoints users who will actually respond to a loyalty offer. The two‑step pipeline cuts wasted incentives and drives a measurable bump in card‑payment activity, proving causal ML can sharpen retention tactics.