Trumaine Watson
OL COACH @ Norfolk State University. Husband, Father and a GREAT leader of men. " FIND A WAY TO BE GREAT" ΩΨΦ Z SQUAD 09
15,212
Followers
4,472
Following
1,632
Tweets
181.2
Avg Engagement
18
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Coach_TWatson'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:2017-02-01
- Verification:No
- Location:Norfolk, VA
Data Summary
- Tweets Analyzed:594
- Avg Likes per Tweet:19.9
- Avg Retweets per Tweet:161.3
- Followers Analyzed:15,350
Engagement Analysis
Based on 594 tweetsHis tweets receive consistent likes and retweets, indicating a loyal and active audience that responds well to his motivational messaging.
19.9
Avg Likes/Tweet
161.3
Avg Retweets/Tweet
11,803
Total Likes
95,805
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
28
75th Percentile
20,278
Top Tweet
11.91
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
24.9%
Original
8.9%
Replies
51.5%
Retweets
14.6%
Quotes
0.0%
Threads
0.0%
With Media
58.2%
With Links
35.5%
With #Tags
66.7%
With @Mentions
17.2%
With Emojis
104
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.36
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
88.0%
Weekday Posts
12.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 594 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 306 retweets (52% 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 594 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 15,350 followersHis followers likely include students, athletes, and sports enthusiasts interested in college basketball and leadership.
Good
Audience Quality
10.1%
Suspicion Index
2.9%
Low-Quality %
297
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
4.7%
Empty Bio
3.4%
<10 Tweets
27.4%
Mass Following (>2K)
0.0%
New (<90 days)
9.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
42.3%
No URL
1.2%
<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.
17,722,026
Total Potential Reach
297
Median Follower Reach
633
75th Percentile Reach
16.0%
>1K followers
2.1%
>10K followers
0.2%
>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).
73.3%
Creators
11,250 accounts
23.3%
Consumers
3,576 accounts
3.4%
Dormant
524 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):
355
Verified Followers
2.31% of total
319
Protected Accounts
2.08% 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 |
|---|---|---|---|
| @Schultz_Report | 241,751 | Sports Analyst | Sports, Analysis, Podcasts |
| @thecoachtube | 160,166 | Sports coaching | sports, coaching, potential |
| @TheRealCoach_JB | 157,225 | Coach | Football, Coaching, Motivation |
| @wyche89 | 144,463 | Sports Journalist | NFL, Howard U, Love Peace Soul |
| @goldmedalmind | 128,610 | Sports psychologist | sports psychology, leadership, champion mindset |
| @amelen | 125,164 | Entrepreneur | Entrepreneurship, Influencer, Crypto |
| @MyRecruitBoard | 114,705 | Recruiting Service | recruiting, video, college programs |
| @RecruitGeorgia | 96,428 | - | - |
| @SportsRants_ | 78,368 | Sports Commentator | Sports, News, Rumors |
| @TopPreps | 78,253 | Sports Recruiter | High School, JUCO, Recruiting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
14,631
Followers With Bio
719
Followers Without Bio
95.32%
% With Bio
4.68%
% 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 594 analyzed63,743
Combined Engagement
0
Total Likes
63,743
Total Retweets
12,749
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @IAmSteveHarvey: 💯 https://t.co/S9MTDERk9s
RT @NFL: The NFL is saddened to share the passing of the legendary John Madden. He was 85. https://t.co/MxLFYLfY8k
RT @IAmSteveHarvey: 💯 https://t.co/jLRspDIO4W
RT @ochocinco: Can someone explain how the diehard fans of these teams are suppose to support their team & attend the game❓ https://t.co/iF…
RT @Pastor__West: Dear Lord, Today, I humbly come before You thankful for all You have done already. But take, and bless my days ahead. Ma…
Key Insights & Takeaways
He uses hashtags and emojis to create a sense of urgency and excitement around his content. His tweets often reference team events and motivational phrases, reinforcing his role as a leader. He leverages his personal identity as a husband, father, and coach to build a relatable and inspiring brand.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 15,212
- + 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 @Coach_TWatson reveals an well-established Twitter presence with 15,212 followers. The account demonstrates a content-creator strategy, averaging 181.2 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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