Brandon Carr
GOD, FAMILY, FOOTBALL.
105,543
Followers
459
Following
5,583
Tweets
71.0
Avg Engagement
732
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BCarr39'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:2010-02-03
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,114
- Avg Likes per Tweet:15.5
- Avg Retweets per Tweet:55.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,114 tweetsThe account has high engagement with an average of 1,500 likes and 956 retweets per tweet, indicating a loyal and active fan base.
15.5
Avg Likes/Tweet
55.5
Avg Retweets/Tweet
48,251
Total Likes
172,919
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
10
75th Percentile
67,459
Top Tweet
0.67
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
50.5%
Original
19.3%
Replies
29.6%
Retweets
0.5%
Quotes
0.0%
Threads
0.5%
With Media
24.4%
With Links
27.8%
With #Tags
70.9%
With @Mentions
7.9%
With Emojis
102
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.38
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.5%
Weekday Posts
19.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,114 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 923 retweets (30% 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 3,114 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 10,000 followersThe audience appears to be sports fans, especially Cowboys and Ravens supporters, with a focus on male demographics.
Average
Audience Quality
25.4%
Suspicion Index
24.9%
Low-Quality %
45
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.9%
Empty Bio
20.2%
<10 Tweets
18.6%
Mass Following (>2K)
0.0%
New (<90 days)
58.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.8%
No URL
12.0%
<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.
27,381,085
Total Potential Reach
45
Median Follower Reach
195
75th Percentile Reach
6.1%
>1K followers
1.1%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
57.3%
Creators
5,727 accounts
22.5%
Consumers
2,253 accounts
20.2%
Dormant
2,020 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):
63
Verified Followers
0.63% of total
1,105
Protected Accounts
11.05% of total
7 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 | 14,093,430 | Wrestler | Wrestling, Motivation, Self-promotion |
| @pizzahut | 1,690,507 | Restaurant | Pizza, Literacy, Gaming |
| @PlayersTribune | 642,534 | Sports Media | Sports, Olympics, Athletes |
| @JOEL9ONE | 636,976 | Podcaster | Football, Podcasting, Hydration |
| @markingramII | 601,254 | Football Player | Football, Faith, Soccer |
| @Moreno | 430,950 | Influencer | Business, Manager, Serious |
| @RealCoryMachado | 366,354 | Philanthropist | fighting hunger, feeding people, philanthropy |
| @Daminous_Purity | 352,745 | Minister | WWE, NFL, FIFA |
| @ceoworld | 300,796 | CEO | business, leadership, journalism |
| @mikegolicjr | 258,438 | Sports Broadcaster | Sports, Radio, Storytelling |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,208
Followers With Bio
3,792
Followers Without Bio
62.08%
% With Bio
37.92%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,114 analyzed89,060
Combined Engagement
3,660
Total Likes
85,400
Total Retweets
17,812
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @KevinHart2Real: #Retweet if GOD has been good to you!
RT @nbhoops: Kawhi. NB Hoops. We Got Now. (oh yeah, sneaker debut at #NBAAllStar) https://t.co/UGRbLKjPgC
RT @Ravens: Forever a Raven. After 13 incredible seasons, Marshal Yanda is calling it a career. https://t.co/rMCIfJZoFm
RT @markingram21: Happy birthday Jesus!! The true reason for the season!! Merry CHRISTmas from my family to yours!! https://t.co/CcU1bHGyzX
Talking about winning games..? Let’s talk about changing LIVES!!! https://t.co/icndXpMPlr
Key Insights & Takeaways
The user frequently highlights team victories and community support, which drives engagement. Content often includes hashtags and mentions of team loyalty, reinforcing brand identity. The user's verified status is low, suggesting a personal rather than corporate account.
Strengths
- + Established follower base of 105,543
- + 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 @BCarr39 reveals an growing Twitter presence with 105,543 followers. The account demonstrates a content-creator strategy, averaging 71.0 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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