Top Interests: Quantcast Interests are content topics that represent interests of a property’s users based on their browsing behavior. A user is “interested” in a topic if they visit sites that are similar to users who are known to have an interest in that topic. For example, if Joe is a sports enthusiast and visits sports sites exclusively, and Steve visits 90% of the same sites as Joe, Steve is likely to be a sports enthusiast.
Category Definitions: For a full list of categories and subcategories, as well as definitions, click here.
Top Sites: Quantcast Sites are the sites that the users of the profiled property visit in high proportions, relative to the overall internet population.
Interest Affinity Index: The Interest Affinity index measures how much more likely someone who visits this property is to be interested in a given topic compared to the average internet user. For example, an index of 11.0x for Computers & Technology means that users interested in Computer & Technology are 11 times more likely to have visited this property than the average internet user.
Site Affinity Index: The Site Affinity index measures how much more likely someone from this property is to visit the site listed compared to the average internet user. An index of 11.0x for JoesBlog.com means that users of this property are 11 times more likely to have visited JoesBlog.com than the average internet user.
Hierarchical View: This view shows all of the interest categories associated with this property, sorted by the index of the top-level interest category, for quick browsing of top-level interest categories. Use this view to quickly compare the Arts & Entertainment category to the Travel category.
List View: This view shows all of the interest categories and subcategories associated with this property, sorted by the index of the category, to give a more granular view for detailed browsing. Use this view to expand the Arts & Entertainment category into the Television and Music subcategories.
Monthly Overlap: This is the percent of the uniques (cookies or mobile devices) who visit the profiled property (e.g. Site A) that also visit the result property showing up in the same row in the table (e.g. Site B). The results also include the inverse – the percent of uniques who visit Site B and also visited Site A. For example, if JoesBlog.com is the top result for Site A with a Monthly Overlap of 2%, that means 2% of Site A’s audience has visited JoesBlog.com.