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 history and customer purchase data. Elevar uses this information to train machine learning models that predict each customer's expected long-term value. As more customer and purchase data becomes available, the model continues learning over time, improving the accuracy of future predictions.

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 Elevar generates the Predicted Lifetime Value score, it is delivered as a Boosted Event to supported marketing and analytics platforms. Each platform receives the prediction in a format that can be used for optimization, reporting, or customer segmentation.

• Meta: The predicted lifetime value is sent as an additional parameter on the Purchase event. For Meta's pLTV Value Optimization, each customer is associated with a single acquisition event, allowing Meta to optimize campaigns based on expected long-term customer value rather than only the initial purchase.
• Google Analytics 4 (GA4): The predicted lifetime value is available as a configurable custom metric within GA4. This allows you to include pLTV in your reports, explorations, and analyses alongside your existing ecommerce metrics.
• Klaviyo: The predicted lifetime value is written to the customer's Klaviyo profile, making it available for audience segmentation, personalized messaging, and lifecycle marketing automations.