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This is an announcement placeholder
This is an announcement placeholder
Health, Beauty & Wellness Retail
Deliver a best-in-class customer experience, increase online sales, and drive operational efficiency at scale
RecommendTM
YoY growth in attributable sales
increase in orders via recommendations
increase in items sold via recommendations
Established in 1949, Matas is Denmark’s premier health and beauty retailer. With over 250 stores and Denmark’s second-most-visited ecommerce site, Matas serves millions of customers through both its physical network and robust digital presence. In 2023, Matas expanded its regional footprint by acquiring KICKS, a major beauty retailer across Sweden, Norway, and Finland.
With personalization playing a pivotal role in customer engagement, Matas sought to create a seamless, data-driven experience across all channels—web, mobile, and email. Their long-standing partnership with Algonomy, dating back to 2018, laid the foundation for a phased, scalable personalization program that continues to evolve.
Matas wasn’t looking for just another recommendations engine—they wanted a best-of-breed personalization layer that could unify customer experiences across touchpoints and deliver results at scale. Key business objectives included:
Matas uses Algonomy RecommendTM across web, mobile, and email, with coverage across key customer journeys.
Across home, category, search, item, add-to-cart, and cart/checkout pages, Matas deployed hyper-relevant product recommendations that mirrored campaign messaging and user context.
Key strategies included:
(For e.g., “More amazing skincare products” or “Bestsellers from the same brand”)
(For e.g., “Other customers also bought” or “Discounts on your favourite brands”)
(For e.g., “Buy again?” and “Your previous purchases”)
Across home, category, search, item, add-to-cart, and cart/checkout pages, Matas deployed hyper-relevant product recommendations that mirrored campaign messaging and user context.
Matas added recommendations to all email journeys and campaigns. With both OOTB strategies and tailored algorithms, marketers could:
Advanced merchandising and configuration controls gave Matas full autonomy to manage everything in-house—no dev cycles needed.
Lift in attributable sales from recommendations
Increase in orders via recommendations
Increase in items sold via recommendations
Growth in total site views
Clicks on recommendations, with improved CTR (1.6%)
These results highlight not just growing shopper engagement, but also the effectiveness of real-time personalization in driving revenue.
SVP of Digital Sales, Matas
