LTVOffline conversionsBidding
Use case 04
LTV prediction sent back as offline conversions
Early behavior becomes a predicted lifetime value, and that value is uploaded so bidding can learn from it.
The situation
Bidding optimized for the purchase in front of it. A small first order outranked a customer who came back, because the platform never saw the value that arrived later.
What we implement
ValuePredict scores lifetime value from the first days of behavior, which is the window that model is built to answer. The predicted value is uploaded to Google Ads as an offline conversion, tied to the click that brought the customer in.
The result
The campaign can bid toward future value instead of treating every first checkout as equal. The signal is a prediction from early behavior, sent back on the click that earned the customer.