FAMU's Marching 100
The Official Twitter Account of the Incomparable FAMU Marching 100 Band! #M100
10,755
Followers
255
Following
2,522
Tweets
63.4
Avg Engagement
82
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @THEMARCHING100'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:2009-07-22
- Verification:No
- Location:Tallahassee, FL
Data Summary
- Tweets Analyzed:2,198
- Avg Likes per Tweet:9.7
- Avg Retweets per Tweet:53.7
- Followers Analyzed:10,464
Engagement Analysis
Based on 2,198 tweetsThe account maintains a steady level of engagement with an average of 729 likes and 248 retweets per tweet, indicating a loyal and active fan base.
9.7
Avg Likes/Tweet
53.7
Avg Retweets/Tweet
21,247
Total Likes
118,096
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
11
75th Percentile
35,107
Top Tweet
5.89
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
39.6%
Original
8.6%
Replies
47.6%
Retweets
4.3%
Quotes
0.0%
Threads
0.7%
With Media
55.1%
With Links
40.4%
With #Tags
64.5%
With @Mentions
18.5%
With Emojis
94
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.22
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.0%
Weekday Posts
33.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,198 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 1,046 retweets (48% 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 2,198 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 10,464 followersThe audience primarily consists of FAMU students, alumni, and fans of the marching band, with a strong interest in college sports and music performances.
Good
Audience Quality
14.8%
Suspicion Index
16.5%
Low-Quality %
141
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.1%
Empty Bio
12.0%
<10 Tweets
15.7%
Mass Following (>2K)
0.0%
New (<90 days)
24.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
72.6%
No URL
7.0%
<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.
39,304,573
Total Potential Reach
141
Median Follower Reach
455
75th Percentile Reach
11.9%
>1K followers
1.3%
>10K followers
0.4%
>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).
70.9%
Creators
7,414 accounts
17.1%
Consumers
1,794 accounts
12.0%
Dormant
1,256 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):
117
Verified Followers
1.12% of total
1,613
Protected Accounts
15.41% of total
9 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 | 14,106,633 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,418 | - | - |
| @ochocinco | 3,253,348 | Researcher | Football, Gaming, Analytics |
| @6BillionPeople | 2,038,810 | - | - |
| @KameronBennett | 1,810,225 | DJ | Music, DJing, Booking |
| @soledadobrien | 1,320,623 | Journalist | working, mom, journalist |
| @ZachBoychuk | 831,196 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @TayeDiggs | 648,950 | Actor | acting, chocolate, hosting |
| @GloZell | 568,720 | Entertainer | Interviews, Comedy, Challenges |
| @jstorres | 401,178 | Banker | Author, Soccer, Blockchain |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,736
Followers With Bio
2,728
Followers Without Bio
73.93%
% With Bio
26.07%
% 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 2,198 analyzed87,374
Combined Engagement
2,691
Total Likes
84,683
Total Retweets
17,475
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @GAFollowers: Shoutout to this woman who saved two deer at Stone Mountain Park this morning. ❤️ https://t.co/H8tI0M7z7q
RT @gucci1017: I wake up smiling because I know I'm highly favored
RT @BleacherReport: VIDEO: Florida A&M’s band formed Kermit's ‘But that’s none of my business’ meme at halftime http://t.co/gLc5OLBGxQ http://t.co/zvV3AXI7LZ
RT @BrunoMars: 🙌 https://t.co/hcdloKEhiC
The Marching 100 covers a medley of Cuff It & Break My Soul from Beyoncé’s Renaissance album #FAMU #Beyonce #Renaissance #Incomparable #CuffItChallenge https://t.co/U9kXiaCJv9
Key Insights & Takeaways
The band frequently shares performance highlights and collaborations with other university bands, which helps build community and visibility. They leverage trending music and events, such as Beyoncé's Renaissance album, to increase relevance and reach a broader audience. The use of verified accounts and hashtags like #FAMU and #Incomparable strengthens brand identity and encourages fan interaction.
Strengths
- + Established follower base of 10,755
- + 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 @THEMARCHING100 reveals an growing Twitter presence with 10,755 followers. The account demonstrates a content-creator strategy, averaging 63.4 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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