Publishers’ content can be a rich source of data on users’ interests, brand affinity and purchase intent. When users interact with articles about products and brands, they generate click, page impression and conversion data. Analyzed correctly, such behavioral signals can help us to predict their future shopping behavior.
Skimlinks works with 1.5M publishers to structure their behavior data and make sense of the billions of data points generated by their users every day. The presentation will go through – possibly surprising – patterns of behavior, which can improve advertising campaign performance and personalize publishers’ content.