Case Study: Matas boosts attributable sales by 36% with Algonomy's Recommend

Matas boosts attributable sales 36% with Algonomy

Matas, Denmark's premier health and beauty retailer, sought to create a seamless and data-driven customer experience across all channels to increase online sales and drive operational efficiency. Their challenge was to implement a best-of-breed personalization layer, not just a recommendations engine, that could unify customer experiences across web, mobile, and email touchpoints. To achieve this, they partnered with vendor Algonomy and utilized its Recommend product.

Algonomy implemented its Recommend solution across Matas's web, mobile, and email channels, deploying hyper-relevant product recommendations on key pages and in all email campaigns. This solution included strategies for cross-selling, smart replenishment, and automated personalized landing pages. As a result, Matas saw a 36% lift in attributable sales from recommendations, a 49% increase in orders via recommendations, and 9.34 million clicks with an improved click-through rate, demonstrating the effectiveness of Algonomy's personalization in driving significant revenue growth.

Matas