Case Study: At Home achieves 4.04x omnichannel ROAS and cuts acquisition CAC by over half with Angler AI Predictive CAPI

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Preview of the At Home Case Study

At Home achieves 4.04x omnichannel ROAS with Angler AI

At Home, a specialty home décor and furnishings retailer, partnered with Angler AI to test whether a more unified, predictive data signal could improve its Meta campaign performance for customer acquisition and retention. The goal was to reduce customer acquisition costs and increase return on ad spend across both online and in-store channels.

Angler AI deployed its Predictive Conversions API (P-CAPI), replacing the retailer's existing setup with a single, unified omnichannel signal. The solution drove significantly stronger performance, achieving a 4.04x omnichannel ROAS for acquisition and cutting acquisition CAC by over half. Angler AI also delivered customers with higher long-term value, including a 19% increase in 90-day repurchase revenue for acquired customers.


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