Content data

Content recommendations work in the Raptor recommendation engine exactly the same way as product recommendations, or it sort of does.

The way users consume products and content differs. Products are visited, added to carts, favorited, and purchased. On the other hand, content is typically only visited.
Therefore, Raptor’s content algorithms behave differently than algorithms for products.

Raptor’s recommendation engine can combine content with other relevant content or combine content with products.

Content includes articles, blogs, recipes, and more. To track your content, it’s essential that each piece has a unique ID. This ID can take various forms, such as a GUID or a string etc.

Always send the unique content ID as ContentID in the Raptor tracking template.