Shopping designed for exploration

Traditional online shopping is built around static lists and predefined paths, running the risk of shoppers losing patiences, leaving uninspired, and you losing conversions.

Shoppertainment replaces this with experiences that continuously respond to shopper behavior, using signals like scrolls, dwell time, likes, and favorites to learn in real time. Every micro-interaction actively shapes what shoppers see next while they’re still exploring.

"With Shoppertainment, we now have a unique opportunity to bring together and showcase our extensive univserse of beauty and wellbeing in one unified platform. Previously, inspiration and knowledge were distributed across our own and external channels. Now we can provide customers with a far more cohesive, engaging, and immersive experience of our full assortment and expertise."

Jonas Levring, SVP Digital Platforms and Projects, Matas

Adaptive Discovery

The Relewise Adaptive Discovery feature delivers an endless, personalized stream of product recommendations mixed with inspirational content.

Instead of static product lists, the feed adapts in real time, powered by our User Engagement feature. Shoppers are continuously shown content tailored to their behavior, creating a more entertaining and inspiring discovery experience that keeps them engaged for longer.

User Engagement

User Engagement captures how shoppers interact with what they see. Some signals are explicit, like favorites (❤️), likes (👍🏽), and dislikes (👎🏽). Others are more subtle, such as scrolling and dwell time.

Together, these signals help Relewise understand what shoppers are interested in without relying on clicks alone. They’re saved automatically and used right away across discovery, search, and recommendations – so the experience keeps improving with no extra setup.