105,988
Followers
594
Following
1,396
Tweets
292.4
Avg Engagement
531
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CoachTomHerman'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:2009-04-01
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,356
- Avg Likes per Tweet:37.1
- Avg Retweets per Tweet:255.2
- Followers Analyzed:9,998
Engagement Analysis
Based on 1,356 tweetsHis tweets receive an average of 1,754 likes and 234 retweets, showing a high level of audience interaction. The engagement is likely driven by his role and the relevance of his content.
37.1
Avg Likes/Tweet
255.2
Avg Retweets/Tweet
50,335
Total Likes
346,115
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
35
Median Retweets
115
75th Percentile
105,928
Top Tweet
2.76
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
3.3%
Original
0.1%
Replies
92.1%
Retweets
4.4%
Quotes
0.0%
Threads
0.5%
With Media
84.6%
With Links
49.4%
With #Tags
95.6%
With @Mentions
42.2%
With Emojis
132
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,356 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 1,249 retweets (92% 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 1,356 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 9,998 followersHis audience likely includes fans of his team, fellow coaches, and sports enthusiasts. The verified status suggests credibility and authority within the sports industry.
Good
Audience Quality
16.2%
Suspicion Index
14.2%
Low-Quality %
159
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
20.7%
Empty Bio
13.4%
<10 Tweets
19.9%
Mass Following (>2K)
0.0%
New (<90 days)
28.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
64.3%
No URL
7.8%
<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.
24,630,123
Total Potential Reach
159
Median Follower Reach
415
75th Percentile Reach
9.3%
>1K followers
1.2%
>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).
61.9%
Creators
6,188 accounts
24.7%
Consumers
2,469 accounts
13.4%
Dormant
1,341 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):
199
Verified Followers
1.99% of total
622
Protected Accounts
6.22% of total
5 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 | 14,093,325 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SinghLions | 1,330,953 | Restaurateur | Food, Travel, Influencer |
| @bomani_jones | 579,163 | Sports commentator | Sports, Commentary, Humor |
| @Moreno | 430,950 | Influencer | Business, Manager, Serious |
| @MaxPreps | 348,462 | Sports Media | high school sports, leader, video submissions |
| @BFW | 275,887 | Security Analyst | Sports, Comedy, Barstool Sports |
| @mikegolicjr | 258,439 | Sports Broadcaster | Sports, Radio, Storytelling |
| @Schultz_Report | 203,391 | Sports Analyst | Sports, Analysis, Podcasts |
| @SlaterNFL | 201,446 | Reporter | NFL, Texas, Journalism |
| @SteveGutzler | 142,383 | Keynote Speaker | Leadership, Emotional Intelligence, Inspiration |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,935
Followers With Bio
2,065
Followers Without Bio
79.35%
% With Bio
20.65%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 1,356 analyzed206,140
Combined Engagement
0
Total Likes
206,140
Total Retweets
41,228
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @thEMANacho: Dear white people, For days you’ve asked me what you can do to help. I’ve finally found an answer. Let your guard down and listen. https://t.co/74SVv8XOqp
RT @espn: On This Date: The Globo Gym Purple Cobras blew a four-man advantage against Average Joe’s Gym in the American Dodgeball Association of America Tournament. https://t.co/ATQpeM6zbA
RT @ABC: PURE JOY: 4-year-old Maya, who has cerebral palsy, takes her first steps on her own. Her glee will melt your heart. "I'm walking!" https://t.co/qQ4NsUO5TP https://t.co/rQXc2Io7Uy
RT @thEMANacho: Matthew @McConaughey sits down to have an Uncomfortable Conversation with a Black Man. Enjoy & share https://t.co/1axueAFIyu
RT @Ballislife: “What you get from me, I got from him.” #TheLastDance 🐍 https://t.co/5fvroQGwaC
Key Insights & Takeaways
His top tweets include personal interactions and gratitude towards athletes, indicating a focus on community and appreciation. The use of hashtags like #LonghornLegend suggests a strong connection to his team's identity and legacy. His verified status and large following highlight his influence and credibility in the sports world.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 105,988
- + 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 @CoachTomHerman reveals an well-established Twitter presence with 105,988 followers. The account demonstrates a content-creator strategy, averaging 292.4 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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