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  Article updated: May 24, 2021

Filter and analyze your saved searches

Every saved search in Insights generates a standard set of metrics, so you can see at a glance how your search results are performing. Use filters to display and analyze the metrics most important to you and discover trends and insights into the people discussing your specific search terms and topics online.

Metrics automatically update according to the selected time frame and any filters you apply to your search results.

Apply filters to a saved search

You can filter search results by keyword, platform, sentiment, emotion, gender, mention type, and Twitter account type (for example, verified or unverified, follower threshold, or user role). You can also include or exclude mentions based on specific tags, languages, locations, and ownership (for example, from owned handles or owned websites).

When you close the Filters panel, the Filters icon displays a badge to indicate the number of filters applied to the saved search.

  1. Go to Insights, and then select Saved Searches to view the list of searches saved by your organization.
  2. Select a saved search.
  3. Select Filters to open the Filters panel and apply different filters to your search results. The results update in real-time as soon as you apply the filters.
  4. Optionally, you can select the date picker to display mentions and metrics from a specific time frame.
    Insights date picker showing dates

Note: You must re-apply filters each time you open a saved search.

Analyze your saved searches

Metrics for your saved searches are displayed in tiles. See Metrics in Insights for a complete list of metrics and their descriptions.

a number of tiles in insights

Select Mentions to display more information about each mention, such as author, platform, date, emotion, sentiment, location, and language.

You can also open mentions in the associated platforms, edit annotations on each mention (such as sentiment, emotion, and location), add tags, and download all mentions.

Automatically detect and analyze peaks for your saved searches

Iris™ is an AI analyst that automatically detects significant peaks in conversations and reveals what may be causing a significant jump in popularity for a saved search. This can be a particular tweet that gained a lot of attention or a news article that was shared repeatedly.

Select a peak marker in the Mention Volume Over Time, Sentiment Volume Over Time, or Emotion Volume Over Time tiles to display all potential reasons for the peak.

iris peak markers in insights