Maximizing Paid Media ROI with LTV-Driven Google Ads Optimization

Client: Premium Pet Supply Subscription Brand
Industry: eCommerce / Subscription Retail

The Challenge

The client was acquiring new customers profitably on paper, but long-term retention was poor and lifetime value varied significantly across acquisition channels. Their Google Ads strategy was optimized for immediate ROAS, not long-term growth. They needed a smarter way to acquire high-value customers and allocate budget accordingly. 

Our Solution

We combined LTV modeling with AI-powered Google Ads automation to create a performance strategy aligned with long-term profitability.

Developed a predictive LTV model based on purchase frequency, churn risk, acquisition source, and behavioral signals. 

Integrated the LTV model directly into Google Ads via custom data layers and conversion tracking.

Adjusted bid strategies to prioritize high-LTV customer segments across campaigns.

Used AI agents to automate daily budget shifts, search query analysis, and ad copy testing to improve efficiency and speed to market.

Developed a predictive LTV model based on purchase frequency, churn risk, acquisition source, and behavioral signals. 

The Result

35%

increase in average customer LTV from paid channels 

22%

decrease in cost per LTV-adjusted conversion

2x

increase in high-retention customer acquisition through optimized targeting 

20%

Smart budget reallocation led to lower spend on low-value segments without impacting overall volume 

Let’s Elevate Your Marketing Game with AI

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