Brian K Robinson Jr
Washington Commanders RB #8 / iG - b.robinson_4
36,973
Followers
580
Following
362
Tweets
439.8
Avg Engagement
152
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BrianR_4'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: Mid-Tier (10K+)
- Account Age:2015-01-03
- Verification:No
- Location:Tuscaloosa, AL
Data Summary
- Tweets Analyzed:340
- Avg Likes per Tweet:165.0
- Avg Retweets per Tweet:274.9
- Followers Analyzed:37,050
Engagement Analysis
Based on 340 tweetsHis tweets receive a high number of likes and retweets, indicating strong support and interaction from his followers.
165.0
Avg Likes/Tweet
274.9
Avg Retweets/Tweet
56,087
Total Likes
93,457
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
8
Median Retweets
100
75th Percentile
19,867
Top Tweet
11.9
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
30.9%
Original
20.3%
Replies
36.5%
Retweets
12.4%
Quotes
0.0%
Threads
0.3%
With Media
36.5%
With Links
23.8%
With #Tags
59.7%
With @Mentions
50.0%
With Emojis
69
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.66
Reply/Original Ratio
0.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.9%
Weekday Posts
22.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 340 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 124 retweets (36% 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 340 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 37,050 followersHis audience primarily consists of football fans, especially those interested in the Washington Commanders and college football.
Good
Audience Quality
19.4%
Suspicion Index
22.6%
Low-Quality %
83
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.2%
Empty Bio
13.7%
<10 Tweets
14.2%
Mass Following (>2K)
0.0%
New (<90 days)
41.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.8%
No URL
8.0%
<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.
116,436,780
Total Potential Reach
83
Median Follower Reach
288
75th Percentile Reach
7.5%
>1K followers
1.0%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
68.3%
Creators
25,296 accounts
18.0%
Consumers
6,662 accounts
13.7%
Dormant
5,092 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):
610
Verified Followers
1.65% of total
4,407
Protected Accounts
11.89% 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 |
|---|---|---|---|
| @NFL | 32,914,059 | Athlete | Football, Tight End, Humor |
| @JohnCena | 14,105,717 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AdamSchefter | 10,325,380 | Sports Journalist | NFL, Insider, Podcast |
| @Wale | 6,232,245 | Writer | anti-hero, super genius, music |
| @NFLonFOX | 3,653,752 | Sports Media | Football, NFL, Sports |
| @SInow | 1,859,063 | Sports Media | Sports, TikTok, Instagram |
| @KameronBennett | 1,809,534 | DJ | Music, DJing, Booking |
| @pizzahut | 1,696,735 | Restaurant | Pizza, Literacy, Gaming |
| @Commanders | 1,410,890 | Sports Team | Football, Washington, Tweets |
| @CBSSports | 1,377,674 | Sports Media | Sports, News, Updates |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
23,283
Followers With Bio
13,767
Followers Without Bio
62.84%
% With Bio
37.16%
% 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 340 analyzed70,321
Combined Engagement
9,542
Total Likes
60,779
Total Retweets
14,064
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @MoneyBaggYo: U play wit me one time ima make u feel me
RT @JalenHurts: Jesus replied, “You do not realize now what I am doing, but later you will understand” - John 13:7 Just let God work hi…
RT @iAM_JoshJacobs: I wish people would spread love like they spread hate and negativity
🙏🏾 https://t.co/2QeeoCSHuv
RT @versvce_: How can this not inspire you? http://t.co/IwDFaSbhTa
Key Insights & Takeaways
He frequently shares personal reflections and motivational messages about his training and football journey. He uses hashtags related to his college and team identity, which helps in building community and brand. His content is focused on perseverance, growth, and gratitude, which resonate well with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 36,973
- + 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 @BrianR_4 reveals an well-established Twitter presence with 36,973 followers. The account demonstrates a content-creator strategy, averaging 439.8 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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