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Why should you compare X (Twitter) followers?
In the world of X (formerly Twitter), your audience is everything. Whether you’re a brand, influencer, journalist, or agency, knowing who follows you (and how your audience compares to others) can unlock key insights. Understanding follower overlap helps you:
- Assess competitor reach
- Identify audience opportunities
- Target shared communities
- Optimize partnerships and influencer collaborations
This isn’t just a vanity metric. In fact, it’s a way to strategically shape your content, campaigns, and collaborations
Tweet Binder: Your starting point for X data
Tweet Binder is one of the most complete tools for tracking and analyzing X conversations. With Tweet Binder, you can:
- Monitor hashtags, keywords, mentions, or accounts
- See impressions, engagement, top contributors, and sentiment
- Export full user lists from any report
- Run 7-day, real-time, or historical reports
So, how does this connect to comparing followers? Once you know the “what” has been posted, you can now get details on who is behind an account with Audiense Connect’s Intersection Report.
Audiense Connect: Compare X (Twitter) followers between two accounts
Once you’ve gathered user data from Tweet Binder reports, it’s time to dive into Audiense Connect. Audiense offers a feature called the Audience Intersection Report, which lets you set up two or more X (Twitter) accounts and compare them side-by-side.

What does it show?
- Percentage of overlap
- Users shared between both accounts
- Users unique to each account
- Exportable segments for further analysis
- Insights into demographics, interests, media consumption, and more
Learn more here: Audiense Knowledge Base – Intersection Reports
Real Example: Comparing @Nike vs. @adidas
Let’s say you’re a sportswear brand or a content strategist in the fitness or fashion space. You’re deciding whether to collaborate with influencers closer to Nike’s base or Adidas’s. You can:
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Run two Tweet Binder reports to get a sense of what is posted about both brands:
- One for mentions of @Nike
- One for mentions of @adidas
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Create an Audiense Connect Intersection report:

What might you find?
These are some X (Twitter) KPIs that you can find out in an intersection report:

- Nike’s audience is significantly larger and more unique
- Adidas followers are more likely to follow Nike
- Shared audience is meaningful, but small compared to total reach
- Adidas relies more on shared attention than Nike does
This kind of insight helps you personalize your campaign strategy. For example, targeting the shared segment with crossover products and messaging.
Who should be comparing X (Twitter) audiences?
This is valuable for a wide range of users:
- Marketers: Identify shared or untapped audiences across competitor brands
- Influencer managers: Spot audience alignment between creators and brands
- Event planners: Compare pre- and post-event audience shifts
- Researchers: Explore overlapping interests or behavioral patterns
- Media agencies: Decide where to place messaging based on follower makeup
The Workflow: From Tweet Binder to Audiense
- Log in to www.tweetbinder.com and go to your reports’ dashboard
- Click on “My Community” and hop into Audiense Connect
- Select the Analytics option and then Reports
- Opt for the Audience Intersection Report
- Add the X (Twitter) account and select what you want to compare: followers, following or Source Members (list)
Final thoughts: More than just follower numbers
When you compare X (Twitter) followers between two accounts, you go from shallow metrics to deep strategy. With Tweet Binder, you get the data. And with Audiense, you get the context. Together, they form a complete solution for anyone who wants to understand, segment, and activate X audiences with precision.
Ready to try it?
Discover not just how many people follow you. Get to know who they are and what they care about.

Maite Muruzabal is an X (Twitter) analytics expert and product marketer with hands-on experience at Tweet Binder. She creates content and resources that help brands track hashtags, analyze audiences, and turn X (Twitter) data into real results.
Passionate about social media marketing and audience intelligence, Maite loves making analytics simple and actionable.