{"id":6816,"date":"2022-09-26T06:07:22","date_gmt":"2022-09-26T06:07:22","guid":{"rendered":"https:\/\/www.picreel.com\/blog\/?p=6816"},"modified":"2026-04-21T07:08:43","modified_gmt":"2026-04-21T07:08:43","slug":"product-recommendations","status":"publish","type":"post","link":"https:\/\/www.picreel.com\/blog\/product-recommendations\/","title":{"rendered":"Product Recommendations: Examples and Tactics used by the experts"},"content":{"rendered":"

Have you ever walked into a store to buy the perfect gift, only to walk out bewildered and overwhelmed? The scenario is the same, more frequent even, for most online emporiums. With a voluminous catalog full of products and buyers only having themselves to rely on for making a choice, it is quite common to see a lot of confusion and no conversion being made at all. Here\u2019s exactly where <\/span>product recommendations<\/span>\u00a0come in.<\/span><\/p>\n

As is evident from the name, product recommendations are part of the myriad of personalization strategies most eCommerce stores adopt, wherein the products are dynamically formatted and displayed to a user according to their customer attributes, browsing behavior, or the context of their visit.\u00a0<\/span><\/p>\n

Simply put, it\u2019s a <\/span>product suggestion<\/span> strategy by which you narrow down the choices for your customers by pushing products they are more likely to buy to the forefront of their vision.<\/span><\/p>\n

This article will discuss 15 tried and tested <\/span>product recommendation strategies<\/span> and examples in depth.<\/span><\/p>\n

Let\u2019s dive in!<\/span><\/p>\n

<\/span>Product Recommendations Benefits<\/span><\/h2>\n

A product recommendation algorithm can help shoppers hone in on products that might interest them, even if those aren\u2019t what they originally intended to buy. By showing relevant items to your users, you widen the scope of enticing mere browsers into paying customers and extend your retail goals beyond the usual.<\/span><\/p>\n

These recommendations can be as simple as a product tray titled \u201cSimilar Products\u201d to more complex, personalized displays based on data gathered by carefully observing each customer\u2019s browsing patterns, demography, situational context, and more.<\/span><\/p>\n

In fact, in a survey, <\/span>22% of the total respondents<\/span><\/a> stated they would shop much more frequently from stores that regularly showed intelligent recommendations.<\/span><\/p>\n

Put more succinctly, the benefits of product recommendations can be chalked down to \u2014<\/span><\/p>\n