Recommendation engines are often used to recommend products that relate to other products. This strategy is common because e-commerce businesses typically generate the most revenue from their product sections.
However, there could be untapped potential in “content to product” recommendations if your site has a section with content such as articles, guides, or videos.
In order to tap that potential, you can show your users which products relate to your piece of content by placing recommendation modules or widgets on your content pages.
Several personalization services recommend products in content by promoting the top-selling products of a webshop, sometimes without considering the relationship between product and content.
However, when user data is considered the performance of product recommendations will always improve.
The machine-learning technology behind Raptor’s recommendations causes them to be much more relevant than just the general top selling products.
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