Case Study: Pierre Cardin achieves 67.95% lower Cost Per Acquisition with Insider Predictive Ad Audiences

How Pierre Cardin Used Predictive Segments in AdWords to reduce their Cost Per Acquisition by 67%

Pierre Cardin, one of France’s oldest fashion brands, wanted to improve advertising performance as customer acquisition costs rose and return on ad spend became harder to maximize. To support its advertising program, the company turned to Insider and its Predictive Ad Audiences platform.

Insider used AI-backed segmentation to group Pierre Cardin’s users by lifecycle status, likelihood to purchase, discount affinity, and other behaviors, then targeted customers showing purchase intent. The approach led to a 445% uplift in conversions, ROAS of 164.83%, and a 67.95% reduction in Cost Per Acquisition.

Pierre Cardin

Tuba Hamzaoglu

Digital Social Media Marketing Manager