Audience Based on Conversations
Learn how to create an audience based on conversations on X by searching for keywords, hashtags, mentions, URLs, and advanced Boolean expressions.
Overview
A Conversation-based report allows you to identify and analyze the audience behind conversations taking place on X (formerly Twitter). Rather than analyzing a predefined audience, this report identifies users who have published posts matching the search criteria you define.
You can build your audience using keywords, hashtags, mentions, URLs, or advanced Boolean logic to create highly targeted searches. Once your search is configured, Audiense identifies the matching authors and generates an audience report that helps you understand who is participating in the conversation.
To create a report, select Conversations as your report type, define your search criteria, choose your segmentation method, and launch the report.

Creating a Conversation Report
When creating a Conversation-based report, you can choose between two search methods:
- Simple Search
- Advanced Boolean Search
Both methods search posts published on X and return the audience responsible for those conversations.
Important: Conversation reports are limited to the 20,000 most recent posts that match your search criteria. Regardless of the date range selected, X returns only the 20,000 most recent matching posts.
Simple Search
Simple Search is designed for straightforward searches without requiring Boolean syntax.
You can search using keywords, hashtags, @mentions, and URLs. Simply enter your search terms and choose a date range. Unlike Advanced Boolean Search, quotation marks are not required for multi-word phrases. Audiense automatically recognizes complete phrases.
You can search any historical period between 2007 and today, provided the selected search window does not exceed 90 days.

Advanced Boolean Search
Advanced Boolean Search gives you greater control over your audience definition by allowing you to combine multiple operators and conditions. You can build searches using keywords, hashtags, mentions, URLs, exclusions, grouped logic, geographic filters, and language filters.
For example:
(#nike #converse) OR #puma

Important Changes to X Operators
Important: X has deprecated the
is:retweetoperator.
As a result, Conversation reports no longer support filtering searches to include or exclude Retweets using the is:retweet operator.
If you previously used this operator in saved queries, you'll need to remove it before running your report.
Important Considerations
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Conversation reports analyze a maximum of 20,000 matching posts, returned in reverse chronological order by X.
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If no date range is selected, Audiense automatically searches the last 30 days.
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Historical searches can cover any period from 2007 onward, but each search window is limited to 90 days.
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When switching from Simple Search to Advanced Boolean Search, Audiense automatically converts your query.
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Switching from Advanced Boolean Search back to Simple Search clears the Boolean query, since complex Boolean expressions cannot always be represented in the simplified interface.
Alternative Methods
Conversation reports identify the audience behind conversations occurring on X. They are not intended to replace a full social listening solution and do not perform sentiment analysis.
If you need to analyze conversations across longer time periods or require more advanced listening capabilities, consider using one of Audiense's supported social listening integrations, such as Pulsar TRAC, Explore by Meltwater, or Talkwalker by Hootsuite.
You can also export authors from your preferred social listening platform and upload them into Audiense Insights for audience analysis.
Need Help?
If you have questions about creating Conversation reports or building advanced Boolean searches, contact the Audiense Support Team at help@audiense.com.