Scott Coker
President, @BellatorMMA
109,553
Followers
397
Following
3,936
Tweets
254.7
Avg Engagement
809
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ScottCoker'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:2010-02-13
- Verification:No
- Location:San Jose, CA
Data Summary
- Tweets Analyzed:3,188
- Avg Likes per Tweet:192.6
- Avg Retweets per Tweet:62.1
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,188 tweetsCoker's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His content is well-received and often shared widely within the MMA community.
192.6
Avg Likes/Tweet
62.1
Avg Retweets/Tweet
613,869
Total Likes
197,998
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
30
Median Likes
20
Median Retweets
217
75th Percentile
30,753
Top Tweet
2.32
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
50.6%
Original
10.3%
Replies
31.8%
Retweets
7.3%
Quotes
0.0%
Threads
0.3%
With Media
81.3%
With Links
60.7%
With #Tags
82.3%
With @Mentions
17.6%
With Emojis
120
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.2
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.0%
Weekday Posts
35.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,188 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 1,015 retweets (32% 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 3,188 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 followersHis audience primarily consists of MMA fans, fighters, and sports enthusiasts interested in Bellator events. The audience is highly engaged and follows his updates closely.
Average
Audience Quality
27.1%
Suspicion Index
32.4%
Low-Quality %
31
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.5%
Empty Bio
27.8%
<10 Tweets
11.2%
Mass Following (>2K)
0.0%
New (<90 days)
61.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.3%
No URL
18.3%
<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.
22,322,912
Total Potential Reach
31
Median Follower Reach
133
75th Percentile Reach
4.2%
>1K followers
0.6%
>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).
48.5%
Creators
5,339 accounts
23.6%
Consumers
2,598 accounts
27.8%
Dormant
3,062 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):
104
Verified Followers
0.95% of total
1,111
Protected Accounts
10.1% 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 |
|---|---|---|---|
| @JohnCena | 14,093,644 | Wrestler | Wrestling, Motivation, Self-promotion |
| @junior_cigano | 1,283,004 | Fighter | Fighting, Advertisements, Publicity |
| @combate | 829,586 | Sports Broadcaster | Martial Arts, Combat Sports, 24/7 Programming |
| @Shigeo0128 | 537,332 | Comedian | YouTube, おなか, ハート |
| @Moreno | 431,010 | Influencer | Business, Manager, Serious |
| @The305MVP | 413,703 | Wrestler | Basketball, Business, Amazing |
| @garyhgoodridge | 360,556 | Fighter | UFC, Arm Wrestling, Mental Health |
| @conquerer1 | 236,365 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @warriorsworld | 165,516 | Sports Blogger | Basketball, Sports, News |
| @TooooMuchAtOnce | 142,561 | Influencer | crypto, empowerment, web3 |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,879
Followers With Bio
5,120
Followers Without Bio
53.45%
% With Bio
46.55%
% 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 3,188 analyzed64,955
Combined Engagement
22,957
Total Likes
41,998
Total Retweets
12,991
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @MuhammadAli: "Don't you forget, I am the greatest!" #MuhammadAli http://t.co/HXaTz39RPM
.@BellatorMMA vs. @rizin_PR in 🇯🇵 https://t.co/iEZ6qW7wLe
We need to get this kid a Twitter. #Bellator278 https://t.co/ipd9Udpr1g
RT @BellatorMMA: Must See MVP TV tonight on @spike 9/8c #Bellator158 #PokemonGo @MichaelPage247 https://t.co/VI5PYAgrhT
I am proud to announce that @BellatorMMA has signed @CrisCyborg to the biggest contract in women’s MMA history. Welcome to the family. https://t.co/BQM29cCUP3
Key Insights & Takeaways
Coker frequently promotes Bellator events and collaborations with other promotions like Rizin. He highlights major signings and milestones, such as Cris Cyborg's contract. His tweets often include hashtags and links to official Bellator content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 109,553
- + 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 @ScottCoker reveals an well-established Twitter presence with 109,553 followers. The account demonstrates a content-creator strategy, averaging 254.7 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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