Marshall Football
The official account of Marshall Football.
78,934
Followers
486
Following
26,430
Tweets
124.7
Avg Engagement
391
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @HerdFB'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:2013-07-10
- Verification:No
- Location:Huntington, W.Va.
Data Summary
- Tweets Analyzed:3,223
- Avg Likes per Tweet:93.1
- Avg Retweets per Tweet:31.6
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,223 tweetsThe account maintains a steady level of engagement with an average of 2,477 likes and 550 retweets per tweet. The use of hashtags and links to official content helps drive interaction and visibility.
93.1
Avg Likes/Tweet
31.6
Avg Retweets/Tweet
300,071
Total Likes
101,737
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
28
Median Likes
11
Median Retweets
150
75th Percentile
26,865
Top Tweet
1.58
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
69.5%
Original
4.5%
Replies
22.6%
Retweets
3.5%
Quotes
0.0%
Threads
0.2%
With Media
87.9%
With Links
79.5%
With #Tags
43.6%
With @Mentions
37.0%
With Emojis
133
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
54.5%
Weekday Posts
45.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,223 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 727 retweets (23% 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 3,223 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 10,999 followersThe primary audience consists of Marshall University fans, students, and local community members who support the football team. The content is tailored to inspire loyalty and foster a sense of belonging.
Good
Audience Quality
17.0%
Suspicion Index
17.1%
Low-Quality %
103
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
18.6%
Empty Bio
25.7%
<10 Tweets
12.9%
Mass Following (>2K)
0.0%
New (<90 days)
26.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
63.1%
No URL
15.6%
<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.
3,198,067
Total Potential Reach
103
Median Follower Reach
243
75th Percentile Reach
3.2%
>1K followers
0.3%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
36.1%
Creators
3,966 accounts
38.2%
Consumers
4,204 accounts
25.7%
Dormant
2,829 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):
217
Verified Followers
1.97% of total
402
Protected Accounts
3.65% of total
3 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 |
|---|---|---|---|
| @BernieKosarQB | 158,352 | Quarterback | Football, Quarterback, Super Bowl |
| @Gsensabaugh43 | 58,020 | Retired Athlete | Football, Dallas Cowboys, Retired Player |
| @CoachCollins | 53,049 | Football Coach | Football, Coaching, Winning |
| @basketbllnews | 51,195 | Sports Journalist | Basketball, News, Coverage |
| @LoganM_MU | 45,254 | Football Manager | Football, Cincinnati, General Manager |
| @Coachtimbeck | 35,392 | - | - |
| @JasonBabin93 | 30,781 | - | - |
| @I_AM_Worthy99 | 27,665 | - | - |
| @CoachPlungasRMU | 26,443 | - | - |
| @RyanBartow | 24,788 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,955
Followers With Bio
2,044
Followers Without Bio
81.42%
% With Bio
18.58%
% 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 3,223 analyzed43,984
Combined Engagement
13,727
Total Likes
30,257
Total Retweets
8,797
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
RT @Pitt_FB: Damar Hamlin is the best of us. We love you, 3. Praying for you. https://t.co/fYymfFsynp
𝗢𝗻𝗲 𝗧𝗲𝗮𝗺. 𝗢𝗻𝗲 𝗧𝗼𝘄𝗻. 𝗙𝗢𝗥 𝗧𝗛𝗘𝗠. #WeAreMarshall x #RiseAsOne https://t.co/ash7EQ86Q2
𝐖𝐈𝐍 𝐈𝐍 𝐒𝐎𝐔𝐓𝐇 𝐁𝐄𝐍𝐃 ✅ #WeAreMarshall 📈 https://t.co/TTfug4h9c5
𝑨 𝑵𝑬𝑾 𝑬𝑹𝑨. Welcome to The Herd, @CoachHuff! 🏈🤘 #WeAreMarshall x #RiseAsOne https://t.co/LSIFxODifL
It just means more… 💚 #WeAreMarshall https://t.co/eceHwH1LNJ
Key Insights & Takeaways
The account emphasizes team unity and community through consistent messaging. It leverages hashtags like #WeAreMarshall and #RiseAsOne to build brand identity. The use of emojis and links to official content enhances visual appeal and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 78,934
- + 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 @HerdFB reveals an well-established Twitter presence with 78,934 followers. The account demonstrates a content-creator strategy, averaging 124.7 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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