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Clv Vector: Magic
Train a regression head on top of the customer vectors to predict future CLV (e.g., 12-month NPV). This captures non-linear interactions across features automatically.
When a new event occurs (purchase, cancellation, ticket), the customer’s vector is updated via a lightweight online method (e.g., contextual bandit embedding). CLV prediction refreshes immediately. clv vector magic