Case Study: Bare Necessities reduces new customer CAC by 31% with Angler AI

How Bare Necessities improved marginal new CAC with Angler AI

Bare Necessities, a Delta Galil intimates brand, was facing rising marginal new customer acquisition costs and ineffective Meta campaigns due to poor signal quality from the platform's built-in conversion API. To address this, they partnered with vendor Angler AI and implemented its predictive CAPI to optimize their paid media spending for new customer acquisition.

Angler AI's solution delivered a predictive CAPI that was first tested and then used to optimize 100% of the customer's paid spend. This implementation resulted in a 31% improvement in new customer acquisition cost. Furthermore, when tested against a competitor's solution, Angler AI also drove a 51% improvement in purchase return on ad spend and an 18% reduction in cost per order.

Bare Necessities

Roshan Varma

Senior Vice President