Using filters to focus your data
You can use filters to focus on a particular aspect of your audience data. Filters are available on all listings pages, the Top Listings report and export, and the Evergreen Overview report.
- Page type: posts, non-post pages, or all pages
- Published: the publication date
- Campaign group
Authors, sections, and tags can be filtered down to results with the same first characters.
Tip: Break your tags out into categories, such as content type, word count, or topic and subtopic to make filtering easier.
- Content type: type: report, type: feature, type: video
- Word count: word count: <350, word count: 350-700
- Topic and subtopic: health: hiv, health: depression
Match any/Match with
Using this filter will give you a list of results that meet any of the criteria you entered. You would use match any or match with when you want to see a list of content that’s about Donald Trump OR Twitter.
Using this filter will give you a list of results that meet all of the criteria you entered. You would use match all when you want to see a list of content that’s about Donald Trump AND Twitter.
This filter removes any content or traffic that meets the specified condition. To see content that’s not about Donald Trump, you’d use a filter like this:
Use multiple filters
You can combine filters to get more specific results.
Filter on multiple aspects
All posts by Samwell Tarly in the Science section about medieval history:
All organic traffic for posts by Samwell Tarly in the Science section:
All posts by Samwell Tarly in the Science section that were published 30 days before the time range selected:
Include one aspect and exclude another
The “show me this, but not that” logic comes in handy for authors and tags.
For instance, if you want to see all content about Donald Trump doesn’t mention Twitter, the filters might look like this:
If multiple authors work on stories together, you may want to filter to see stories written solely by one of the contributors:
The Top Listings report and export has an additional “Lifecycle” filter which allows you to see posts that are evergreen or evergreen candidates.
Last updated: December 02, 2022