Machine learning models built into Klaviyo that predict customer behavior including expected next order date, churn probability, predicted CLV, and gender prediction based on purchase history.
Klaviyo's predictive analytics enable smarter segmentation without manual RFM scoring: target customers predicted to churn before they actually leave, suppress low-CLV customers from expensive campaigns, and identify high-potential customers early in their lifecycle for VIP treatment. Predicted CLV is especially valuable for setting CAC targets by acquisition channel — if Meta acquires customers with 2× the predicted CLV vs Google, allocate more budget to Meta.
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