Case Study: ZALORA achieves 15% higher AOV and 40% larger baskets with Algonomy's real-time personalization suite

ZALORA Achieves a 40% Growth in Average Basket Size by Personalizing eCommerce Properties Across 6 Countries

ZALORA, a leading eCommerce fashion retailer in Southeast Asia with 50M monthly website visits, presence in six+ countries and a catalog of over 7 million SKUs, wanted to increase conversions and revenue by delivering real‑time, hyper‑personalized customer experiences across search, recommendations, category pages and content. To achieve this, ZALORA selected Algonomy’s integrated personalization platform, deploying Recommend™, Find™, Discover™ and Engage™ to personalize every digital touchpoint at scale.

Algonomy implemented an end‑to‑end personalization solution using real‑time customer profiles to power personalized homepages, category pages, search results, emails and push notifications, plus fine‑tuned search algorithms and boosting strategies. The Algonomy deployment drove measurable gains: 15% higher average order value, 40% higher average basket size, a 24% click‑through rate and 15% attributable sales, with email recommendations delivering an 18% lift in revenue per click and a 52% increase in revenue per thousand views.

ZALORA

Liam Hutchinson

Director of Product