Filtering Using Metrics

Learn more about filtering in TRAC using Metrics.

Hassan Elgaddal avatar
Written by Hassan Elgaddal
Updated over a week ago

Learning Outcomes

  • You will learn more about how you can filter by metrics in order to segment your dataset.


The final section of the filter is called 'Metrics'. It gives you the ability to fine-tune your search criteria according to a variety of quantifiable parameters. The measurable indicators that you may employ to filter your results include Followers, Likes, Engagements, Visibility, Impressions, AVE (Advertising Value Equivalent), and Credibility.

This is done on a scale, which allows you to set different benchmarks when filtering your results.

πŸ’‘ Top Tip: Through the 'Metrics' portion of the filter, you have the ability to pinpoint the most influential creators discussing the subjects within your search. This can be achieved by establishing a specific benchmark for their follower count. Essentially, this tool enables you to set a standard, thus aiding in the identification of creators who are not only contributing to the discussion of your topic of interest, but also have a significant follower base, indicating their influence and reach.

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