Case Study: Figleaves drives 48% of retargeting revenue from 22% of ad spend with Velocidi

Driving Revenue from Retargeting by Predicting Buyer Journey Stages

Figleaves, an online swimwear and intimate apparel brand, faced rising customer acquisition costs and wanted to improve return on ad spend (ROAS) and sales from retargeting. They engaged Velocidi to deploy its customer data platform and machine‑learning audience predictions, integrating intent‑based segments directly into Figleaves’ Google Display and Facebook ad accounts without changing existing workflows.

Velocidi’s ML segmented visitors by purchase intent and activated higher‑intent audiences in retargeting campaigns; the optimized audiences generated 48% of the Display and Facebook retargeting revenue and 45% of conversions while using only 22% of the ad spend. The program increased ROAS by 216%, lifted average order value by 12%, cut CPA by 64%, and showed a 4.3x ROAS for higher‑intent vs unlikely buyers in testing.

Figleaves

Angus Jenkins

Head of E-commerce