𝓚𝓔𝓞𝓝 𝓒𝓞𝓛𝓔𝓜𝓐𝓝
𝐅𝐥𝐨𝐫𝐢𝐝𝐚 𝐒𝐭𝐚𝐭𝐞 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲. 🍢
15,160
Followers
147
Following
6,714
Tweets
1,625.9
Avg Engagement
30
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @keoncoleman6'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:2018-12-26
- Verification:No
- Location:Opelousas, LA
Data Summary
- Tweets Analyzed:3,149
- Avg Likes per Tweet:28.5
- Avg Retweets per Tweet:1,597.4
- Followers Analyzed:10,664
Engagement Analysis
Based on 3,149 tweetsHis tweets receive a steady amount of likes and retweets, indicating a moderate level of audience interaction. The engagement is likely driven by sports-related content and school pride.
28.5
Avg Likes/Tweet
1,597.4
Avg Retweets/Tweet
89,838
Total Likes
5,030,056
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
23
Median Retweets
525
75th Percentile
180,434
Top Tweet
107.25
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
5.0%
Original
5.0%
Replies
85.0%
Retweets
5.0%
Quotes
0.0%
Threads
0.6%
With Media
76.1%
With Links
13.0%
With #Tags
91.9%
With @Mentions
43.5%
With Emojis
109
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.01
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.8%
Weekday Posts
31.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,149 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 2,676 retweets (85% 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 3,149 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 10,664 followersKeon's audience likely includes fellow Florida State University students and basketball enthusiasts. His tweets suggest a strong connection to his university and sports culture.
Good
Audience Quality
15.6%
Suspicion Index
15.8%
Low-Quality %
170
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.6%
Empty Bio
8.7%
<10 Tweets
20.4%
Mass Following (>2K)
0.0%
New (<90 days)
26.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.9%
No URL
5.0%
<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.
38,423,388
Total Potential Reach
170
Median Follower Reach
472
75th Percentile Reach
13.2%
>1K followers
2.8%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
75.8%
Creators
8,082 accounts
15.5%
Consumers
1,658 accounts
8.7%
Dormant
924 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):
162
Verified Followers
1.52% of total
1,008
Protected Accounts
9.45% 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 | 14,106,617 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,216 | - | - |
| @KalaniBallFree | 1,246,323 | Athlete | Email Marketing, Entrepreneurship, Social Media |
| @WorldWideWob | 1,080,761 | Sports Analyst | NBA, Basketball, Fantasy Sports |
| @CBBonFOX | 658,468 | Sports Commentator | College Hoops, FOX Sports, App |
| @Lane_Kiffin | 630,130 | Coach | Football, Coaching, Ole Miss |
| @CoachSchuman | 589,480 | Football Coach | Football, Recruiting, Motivation |
| @MSU_Football | 473,795 | Athletics | Football, Michigan State, #GoGreen |
| @MSU_Basketball | 472,287 | Basketball | Basketball, Michigan State, SpartanDawgs |
| @Ericthomasbtc | 420,396 | Motivational Speaker | Motivation, Inspiration, Success |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,826
Followers With Bio
2,838
Followers Without Bio
73.39%
% With Bio
26.61%
% 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 3,149 analyzed620,399
Combined Engagement
0
Total Likes
620,399
Total Retweets
124,080
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @phalanndwa6: 📍 https://t.co/n94ncyNLOP
RT @ayeyoQ__: Lord protect the path I’m on and don’t let me quit for nothing.
RT @FINALLEVEL: I was robbed at a gas station in NJ last night. After my hands stopped trembling..I managed to call the cops and they were quick to respond and calmed me down..... My money is gone.. the police asked me if I knew who did it..I said yes.. it was pump number 9…
RT @bodiedby_mo: He got his powers on the 21st https://t.co/QWvZhGv4n9
RT @AidenNsl: This guy gets it. https://t.co/XepycybRMm
Key Insights & Takeaways
His tweets often highlight personal pride and team loyalty, which resonates with his audience. He uses hashtags to connect with broader sports communities and school supporters. The content is mostly positive and focused on university and team achievements.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 15,160
- + High community engagement through conversations
- + 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 @keoncoleman6 reveals an exceptionally influential Twitter presence with 15,160 followers. The account demonstrates a conversation-first approach, averaging 1,625.9 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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