Case Study: Wantable reduces acquisition cost and boosts retention with Angler AI

A Angler AI Case Study

Preview of the Wantable Case Study

How Wantable used Angler AI to acquire high value new customers

Wantable, an online try-before-you-buy retailer, faced challenges in acquiring high-value customers for its personal styling service. Due to their business model, there was a significant delay in determining a customer's true value, making it difficult to optimize their paid marketing on Meta and Google Ads. They partnered with Angler AI to better measure customer quality and improve acquisition cost efficiency.

The solution involved integrating Angler's predictive AI technology, including their pixel and data API, to connect with Wantable's e-commerce operations and ad accounts. This allowed Wantable to create predictive audiences and optimize campaigns for high-value signups. As a result, Angler AI helped Wantable achieve a 20% reduction in customer acquisition cost, a 7% increase in repeat purchase and retention rates, and improved attribution visibility by over 15%.


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Wantable

Tiffany Cooley

Executive & Chief Marketing Officer


Angler AI

7 Case Studies