How Predicted Lifetime Value Works in Elevar

Overview

Follow this guide to learn how Elevar generates and delivers Predicted Lifetime Value (pLTV) as a Boosted Event. This article explains how pLTV scores are generated, how they are sent to platforms like Meta, GA4, and Klaviyo, and how they support customer acquisition optimization.

Required Inputs for Predicted Lifetime Value:

Predicted Lifetime Value is generated using your store's order data, enhanced with Elevar's cross-network learning. These inputs allow Elevar to produce a machine-learned prediction of each customer's expected future value shortly after they are acquired.


How Predicted Lifetime Value Works in Elevar

How Elevar Generates pLTV:

When a customer reaches the designated acquisition event, Elevar generates a real-time Predicted Lifetime Value score. The result is a prediction of the customer's expected long-term value, allowing optimization decisions to begin long before traditional lifetime value metrics become available.

How pLTV Is Delivered as a Boosted Event:

After the pLTV score is generated, Elevar packages the prediction into a Boosted Event and sends it directly to platforms like Meta, GA4, and Klaviyo. For Meta's pLTV Value Optimization, each customer is associated with a single acquisition event, and the predicted lifetime value is sent within seven days of that acquisition event.



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