This report includes data on media consumption behavior.
.png?sv=2022-11-02&spr=https&st=2025-10-09T12%3A45%3A52Z&se=2025-10-09T12%3A56%3A52Z&sr=c&sp=r&sig=0zmmjRrL62B1cHf1By3vyAi%2FWqkUOoMEoeSomeVvK4w%3D)
Data Sources
These reports make use of data provided by one or more data partners. You can find the names of data partners on the upper right hand corner of the reports.
Calculations
Composition
The composition value is the percentage of page views generated by visitors that fall into a particular Media Interests segment for this property. We provide you with a page view composition to best represent the composition of potential impressions for users in a given Media Interests segment for your property.
Index
Index is a comparison of the audience composition of this property to the general Internet population Quantcast sees.
For example, if Concert & Theatre Tickets - Frequent Transactor has an Index of 97 and a 31.67%.
This means 31.67% of the page views on this property are generated by users who are frequent buyers of concert and theatre tickets.
You are .97 times more likely to have a user who is a cord cutter view your property than the average Internet site.
Using This Report
The Media Interests report helps you understand the media consumption habits of a property's users.
Support Advertising Sales Efforts
By getting a full Media Interests profile of your property, you can use Quantcast to validate the media consumption habits of your audience to marketers.
Inform Your Content Creation Strategy
When constructing the story and unique content strategy to pitch to your marketer partner, leverage these data points to validate and inform your creative team on the media consumption habits of users who visit specific properties across your Network.
Methodology
We directly collect anonymous browsing data through the publishers and networks that use Quantcast Measure and have placed our pixel on their properties. We combine this with anonymous reference data from data partners allowing our statistical models to accurately infer the media consumption habits of a property's audience in aggregate. Some data in reports may be removed when thresholds are applied to prevent inferring the identity of an individual user (see our privacy policy). When looking at large data sets, we will sometimes use statistical sampling.