Minimize Customer Returns and Maximize Profits

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All too often, digital retailers pour ad spend into attracting what seem like high-value customers, only to watch customer returns soar and profits plummet. 

Sound familiar?

Knowing this problem well, our client came to us for help. 

The Solution

Our analytics and data science teams built an open-source return prediction model using Google Analytics 4 (GA4) data. 

The goal? Develop a reliable prediction model that allows Google to optimize to the predicted true value of an order as soon as it’s placed—without having to wait until that return policy window has ended. 

The Result

The model accurately predicts the “revenue after return amount” within 3% of the actual “revenue after return amount.” 

Allowing retailers to say goodbye to wasted ad dollars and hello to targeted precision.

How did we do it? 

We’ll tell you exactly how.

Download the case study deep dive today.