Point11
Google Ads

Customer Lifetime Value Modeling

Build predictive models that align your digital advertising.

Most ad campaigns optimize for clicks or first purchases — not lifetime value. You're spending the same to acquire a one-time buyer as a loyal customer worth 10x more. CLV modeling fixes that asymmetry.

How It Works

Data & Segmentation

We analyze your transaction history and customer data to build cohort-level LTV segments that reveal who your most valuable customers really are.

Model & Predict

Predictive models score new prospects by expected lifetime value — so your bidding and targeting focus on the customers who drive real revenue.

Activate & Iterate

LTV signals feed directly into your ad platforms as value-based bidding targets, with continuous model refinement as new data flows in.

What You Get

Week 1

Customer Value Analysis

A deep-dive into your customer data revealing LTV segments, churn patterns, and the characteristics of your highest-value buyers.

Implementation

Predictive LTV Model

A deployed model scoring prospects by predicted lifetime value, integrated with your ad platforms for value-based bidding.

Ongoing

Model Performance Reports

Monthly reports comparing predicted vs. actual LTV, with model recalibration and segment updates.

More in Google Ads

Stop Wasting Ad Spend on Low-Value Customers

Build a CLV model that focuses your ad budget on the customers who drive the most long-term revenue.