Increase conversion rates and basket size with journey-aware personalized product recommendations

Our extensive selection of recommendations targeted every stage of the customer journey grow revenue and increase customer engagement in all touchpoints.

Save time and let the algorithms do the heavy lifting

Analyzing customer behavior data our trends and seasonal aware algorithms enables you to deliver on your customers’ expectations of a personalized shopping experience

Studies have shown…
a 10% higher AOV for purchases, when a recommendation is clicked
Studies have shown…
a 4.5x higher conversion rate for shoppers clicking on recommendations
Studies have shown…
recommendations making 49% of consumers buying a product that they did not initially intend to

Specialized recommendation types

A comprehensive library of recommendation types surfaces relevant products targeting user, context and place on site/app. Shopper-based, item-based, content-similarity based, contextual-popularity based recommendation types are all part of Relewise.

Shopper-based Personal product recommendation, Recently viewed products, Sort products, Sort variants
Item-based Purchased with product, Purchased with multiple products, Purchased with current cart, Products viewed after viewing product
Content similarity-based Similar products, Custom products recommendations
Contextual popularity-based Popular products, Popular search terms recommendation, Search term based product recommendation
Relewise Omnichannel setup

Build for an omnichannel-world

Customers expect a uniform personalized experience in all interactions – that is what Relewise delivers. The Relewise architecture makes is easy to integrate into any channel be it web, apps, newsletter, POS systems, digital marketing channels etc.

Merchandising

A rules-based merchandising center allows business users to boost or bury products in personal recommendations. I.e., boost products to clear inventory or guide shoppers towards high-margin products and bury out-of-stock products

My Relewise
Shopper-based Personal content recommendation
Item-based Products viewed after viewing content, Content viewed after viewing content, Content viewed after viewing product, Content viewed after viewing multiple products
Content similarity-based Similar content
Contextual popularity-based Popular contents

Full support for content recommendations

Content plays an important part in the customer journey as landing pages, research material, inspiration, reassurance etc. Relewise also supports content recommendation types both content to content and between content and products

Developer friendly

Content plays an important part in the customer journey as landing pages, research material, inspiration, reassurance etc. Relewise also supports content recommendation types both content to content and between content and products

Recommendation Log