466,033
Followers
80
Following
583
Tweets
6,951.9
Avg Engagement
353
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @hannahbrown's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2018-11-20
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:585
- Avg Likes per Tweet:6,633.5
- Avg Retweets per Tweet:318.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 585 tweetsHer tweets receive a substantial number of likes and retweets, indicating strong audience interaction and interest in her content. The high engagement suggests her posts resonate well with her followers.
6,633.5
Avg Likes/Tweet
318.4
Avg Retweets/Tweet
3,880,578
Total Likes
186,285
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
823
Median Likes
20
Median Retweets
6,475
75th Percentile
173,872
Top Tweet
14.92
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
53.3%
Original
19.0%
Replies
14.5%
Retweets
13.2%
Quotes
0.0%
Threads
0.5%
With Media
53.2%
With Links
38.8%
With #Tags
47.9%
With @Mentions
33.5%
With Emojis
105
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.36
Reply/Original Ratio
0.91
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
87.7%
Weekday Posts
12.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 585 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 85 retweets (15% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 585 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 50,000 followersThe audience primarily consists of fans of reality TV and celebrity culture, with a particular interest in her career and personal milestones. They are likely to be young adults and teenagers who follow entertainment news and social media trends.
Average
Audience Quality
23.0%
Suspicion Index
36.0%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.8%
Empty Bio
31.2%
<10 Tweets
4.3%
Mass Following (>2K)
0.0%
New (<90 days)
42.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.5%
No URL
22.2%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
44,795,447
Total Potential Reach
29
Median Follower Reach
151
75th Percentile Reach
2.1%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
48.9%
Creators
24,432 accounts
19.9%
Consumers
9,960 accounts
31.2%
Dormant
15,608 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
340
Verified Followers
0.34% of total
21,545
Protected Accounts
21.55% of total
8 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @JohnCena | 14,104,889 | Wrestler | Wrestling, Motivation, Self-promotion |
| @drdrew | 2,649,051 | Medical Professional | Medicine, Addiction, TV |
| @tiktok_us | 2,145,182 | Social Media Influencer | Entertainment, Support, Videos |
| @jakeowen | 2,078,151 | Musician | Country music, Florida, Outdoors |
| @sadierob | 1,679,288 | Influencer | Sister, Speaker, Author |
| @SimplyChri5tian | 1,659,465 | Influencer | Music, Inspiration, Faith |
| @FOXTV | 1,449,922 | Entertainment | TV, tweeting, job |
| @Scaramucci | 1,007,574 | Entrepreneur | Entrepreneur, Host, Podcast |
| @HarperCollins | 1,005,527 | Publisher | books, authors, publishing |
| @CarliLloyd | 868,242 | Soccer Player | Soccer, Speaker, Author |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,502
Followers With Bio
48,498
Followers Without Bio
51.5%
% With Bio
48.5%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 585 analyzed616,617
Combined Engagement
567,950
Total Likes
48,667
Total Retweets
123,323
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
i have never said that i find my sin funny. i’m not going to lectured on appropriate emotional responses by a guy who threw deli meat in a guys lap. https://t.co/hc8lsPUUA8
I move my own furniture. #TheBachelorette https://t.co/SH8LRWGitw
Have a moment of silence and a shot of tequila because one year ago today...I sent Luke P home. #CincodeMayo2020 https://t.co/fzja8QzMkm
good times leave a mark. obviously, having a real good time here. https://t.co/dhdi5eh057
to the windmill, to the wall. 🎶 #TheBachelorette
Key Insights & Takeaways
Her content often includes personal milestones and reflections, which create a sense of intimacy with her audience. She frequently references her reality TV experiences, which aligns with her brand and audience interests. Her use of hashtags and links to external content helps drive engagement and visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 466,033
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @hannahbrown reveals an exceptionally influential Twitter presence with 466,033 followers. The account demonstrates a content-creator strategy, averaging 6,951.9 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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