Leverage the Audience Discovery Tool to find the zip codes showing the most interest in any topic across the web. Custom interest categories can be created from a set of example articles related to the content, by creating a Contextual AI audience. For example, here is a Contextual AI audience recently made about Chianti Wine.
The following articles related to the product were entered to ‘define’ the interest category:
The Pontiac Contextual AI tool found 7,362 related articles, including the following examples:
These custom Contextual AI audiences will now appear under ‘Custom’ in the Audience Discovery report builder as an interest category. Selecting this interest category will create a report of the zip codes that have higher than average viewership on the sites from the audience. In this case, the report provides insights into the zip codes that are reading more about Chianti wine than other zip codes across the U.S. This data can be exported into a targetable audience that can be used on campaigns of all media types.
Top Zip Codes viewing the sites about Chianti:
A new App Name column where bundle ID appears in ART reports. Now both the targeting ID and the name are displayed so that the app can be more quickly and easily identified.
An additional chart under the ‘Inventory’ section for Audience Discovery and Audience Research reports that shows the top Genres that your audience is streaming for CTV. For example, this audience has higher than average viewership for Indie movies and content related to Cooking. These genres can also be targeted on CTV campaigns – another strategy to place CTV ads where they are more likely to reach your target audience.
In Audience Discovery Reports, a zip code list can now be applied as a ‘block’ list in the Filtering section. Blocked zip codes will not be returned in the audience, allowing reports to be refined to meet the exact needs of your campaigns.
