Bruce Irvin
Trying to reach the top because it's too crowded at the bottom.
278,693
Followers
1,776
Following
14,688
Tweets
711.8
Avg Engagement
983
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BIrvin_WVU11'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:2010-12-16
- Verification:No
- Location:Atlanta
Data Summary
- Tweets Analyzed:3,166
- Avg Likes per Tweet:508.6
- Avg Retweets per Tweet:203.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,166 tweetsThe average likes and retweets indicate a highly engaged audience. The content is well-received and often shared, suggesting a strong connection with followers.
508.6
Avg Likes/Tweet
203.2
Avg Retweets/Tweet
1,610,307
Total Likes
643,223
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
101
Median Likes
18
Median Retweets
474
75th Percentile
144,628
Top Tweet
2.55
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
61.0%
Original
20.6%
Replies
9.7%
Retweets
8.7%
Quotes
0.0%
Threads
0.6%
With Media
29.8%
With Links
8.2%
With #Tags
46.3%
With @Mentions
19.9%
With Emojis
58
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.34
Reply/Original Ratio
0.89
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.5%
Weekday Posts
28.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,166 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 308 retweets (10% 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 3,166 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 likely includes sports fans, especially those interested in football, and individuals looking for motivational messages. They also seem to enjoy lighthearted and relatable content.
Average
Audience Quality
25.9%
Suspicion Index
30.5%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.2%
Empty Bio
26.6%
<10 Tweets
11.3%
Mass Following (>2K)
0.0%
New (<90 days)
58.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.9%
No URL
17.7%
<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.
52,848,386
Total Potential Reach
27
Median Follower Reach
138
75th Percentile Reach
4.0%
>1K followers
0.6%
>10K followers
0.2%
>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).
52.4%
Creators
26,217 accounts
20.9%
Consumers
10,461 accounts
26.6%
Dormant
13,322 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):
368
Verified Followers
0.37% of total
8,044
Protected Accounts
8.04% 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 | 14,102,284 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ochocinco | 3,242,904 | Researcher | Football, Gaming, Analytics |
| @Panthers | 3,075,823 | Sports Team | Football, Carolina, Dancing |
| @zlj517 | 1,990,597 | Spokesman | Geopolitics, Diplomacy, Communication |
| @KameronBennett | 1,812,836 | DJ | Music, DJing, Booking |
| @SinghLions | 1,334,554 | Restaurateur | Food, Travel, Influencer |
| @BaronDavis | 1,030,323 | Entrepreneur | Investor, Finesser, Creator |
| @EAMaddenNFL | 1,017,782 | Gaming | Gaming, Madden NFL, Tech Support |
| @espnsutcliffe | 940,034 | Sports Reporter | Sports, Reporting, Contact |
| @NipseyHussle | 894,006 | Rapper | Music, Entrepreneurship, Activism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,558
Followers With Bio
55,442
Followers Without Bio
44.56%
% With Bio
55.44%
% 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 3,166 analyzed365,766
Combined Engagement
70,080
Total Likes
295,686
Total Retweets
73,153
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @BlackMarvelGirl: It takes 3.2 secs to retweet and help find these 8 BLACK GIRLS reported missing in Washington, D.C. during the past th…
RT @AntonioFrench: Generations of pain. https://t.co/rs16sHhs6m
RT @BlackMarvelGirl: It takes 3.2 secs to retweet and help find these 8 BLACK GIRLS reported missing in Washington, D.C. during the past th…
Wentz is cheeks 😂
That’s that meet me in the locker room for the payment tap 😂😂😂😂🤷🏾♂️ https://t.co/6mjTzm8QJS
Key Insights & Takeaways
The user frequently uses humor to connect with their audience and share personal experiences. They often highlight personal growth and overcoming challenges, which resonates with many followers. Their content includes a mix of sports commentary and motivational messages, appealing to a wide range of interests.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 278,693
- + 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 @BIrvin_WVU11 reveals an well-established Twitter presence with 278,693 followers. The account demonstrates a content-creator strategy, averaging 711.8 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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