Case Study: Aldi achieves 46% lift in revenue per visitor and 10% higher AOV with Algonomy Personalization Suite

Aldi Leverages Integrated Personalization to Drive Revenue Lift, Tailors Customer Experience Despite Unique Business Model and Fast-Changing Catalogue

Aldi, one of the UK’s fastest-growing supermarket chains with over 900 stores, needed to surface more of its online catalogue—including fast-moving weekly “Specialbuys”—without sacrificing relevance. The retailer faced frequent stock churn, required substitute recommendations and back-in-stock alerts, and wanted to boost digital engagement and repeat visits while reducing manual merchandising. Aldi turned to Algonomy and its suite (Algonomy Personalisation Recommend™, DeepRecs NLP, Discover™, Engage™) for strategic advisory and a single integrated personalisation solution.

Algonomy implemented personalised content (Engage™), product recommendations driven by DeepRecs NLP, and personalised browse/navigation via Discover™, underpinned by real-time customer profiles. The program delivered measurable impact: 46% higher revenue per visitor, 10% higher average order value, 25x RPMI for new launches, 2x higher engagement on Specialbuys, 6x higher CTR for targeted categories and 20% attributable revenue—while automating out-of-stock handling, reducing manual effort and increasing organic repeat visits.

Aldi

David Barter

Managing Director of National IT