Case Study: Baby&Tiener achieves a 13.4% revenue increase with Retail Rocket personalized product recommendations

Personalized product recommendations at Baby&Tiener online shop 13,4% revenue increase

Baby&Tiener, a Dutch online retailer specializing in products for children and expectant mothers, sought a significant boost to its online revenue amid a highly competitive ecommerce market. The company partnered with vendor Retail Rocket to implement its real-time personalized product recommendations as a solution to better engage visitors and meet their high expectations for a tailored shopping experience.

Retail Rocket implemented its product recommendation system across key pages of the Baby&Tiener website, including the homepage, product pages, and cart. Using a machine-learning engine, the system delivered personalized content based on individual visitor behavior and intent. An A/B test revealed the implementation was highly successful, resulting in a 7.1% increase in conversion rate, a 4.5% rise in average order value, and a substantial 13.4% overall revenue increase for Baby&Tiener.

Baby&Tiener

Jordy Schipper

Ecommerce Manager