Case Study: Malouf achieves 104% higher omnichannel ROAS with Angler AI

How Malouf improved omni-channel ROAS on Meta & Google Ads with Angler

Malouf, a furniture and bedding company, faced significant challenges in its acquisition marketing after Apple’s iOS 14.5 privacy updates. This forced the company to drastically scale back its paid media spend on Meta and Google Ads, as it struggled to find new customers and saw acquisition costs rise. The vendor, Angler AI, was engaged to help optimize prospecting campaigns and improve omni-channel return on ad spend.

Angler AI implemented its predictive Conversions API solution, which targeted the valuable "moveable middle" audience. This approach allowed Malouf to accurately track both online and in-store purchases influenced by ads. The results were significant, with Angler AI delivering a 104% increase in omni-channel ROAS and a 49% reduction in cost per order, leading Malouf to adopt the solution for both of its brands.

Malouf

Dallin Wengreen

Director of DTC