Overview

Follow this guide to learn how Predicted Lifetime Value (pLTV) helps merchants optimize customer acquisition by predicting the long-term value of new customers.

Understanding Predicted Lifetime Value

What Is Predicted Lifetime Value?

Predicted Lifetime Value (pLTV) is a Boosted Event that enriches customer profiles with a machine-learned prediction of their future value. Instead of optimizing campaigns using only immediate purchases or revenue, pLTV provides Meta, GA4, and Klaviyo with an estimate of how valuable each customer is expected to become over time.

Optimizing for Long-Term Growth:

Traditional campaign optimization focuses on immediate conversions, but not every customer delivers the same long-term value. Predicted Lifetime Value helps shift optimization beyond the first purchase by identifying customers who are more likely to become loyal, repeat buyers.

Powered by Machine Learning:

Each pLTV score is generated in real time using machine learning models trained on your store's order history. As more customer and purchase data becomes available, the model continues learning over time, helping improve prediction accuracy and providing increasingly valuable optimization signals throughout your store's lifecycle.

Predicted Lifetime Value vs Traditional Customer Acquisition

Traditional customer acquisition focuses on immediate conversions. Predicted Lifetime Value focuses on long-term customer value.

Traditional Customer Acquisition:

• Optimization signal: Purchases or immediate revenue
• Customer evaluation: Based on completed conversions
• Growth strategy: Maximize acquisition volume

Predicted Lifetime Value:

• Optimization signal: Predicted future customer value
• Customer evaluation: Machine-learned lifetime value prediction
• Growth strategy: Acquire customers with the highest expected long-term value