Case Study: Marc O’Polo achieves 36% more online orders and 64% lift in product detail conversions with Optimizely

Marc O’Polo Wins With Iterative Approach to A/B Testing

Marc O'Polo, a global premium casual-fashion retailer, set out to reduce shopping-cart abandonment and boost online revenue during a website relaunch. Using data-driven A/B testing, the team focused on two high-traffic, high-bounce entry points—the homepage and product detail pages—as the primary challenges to converting visitors into buyers.

Over an iterative program (23 homepage variants tested across four months and 22 product-detail variants over nine months), they introduced clearer male/female segmentation and a more emotionally engaging homepage, and reworked product pages by removing the left nav, reorganizing product views, moving recommendations below the product, adding a trustbox, and using tabbed product information. The changes drove a 36% increase in online orders and a 64% lift in product-detail page conversions.

Marc O’Polo