Stevie Ray
UFC Lightweight
15,414
Followers
10,630
Following
10,542
Tweets
560.8
Avg Engagement
111
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @StevenRayMMA'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:2011-05-08
- Verification:No
- Location:Scotland, United Kingdom
Data Summary
- Tweets Analyzed:3,166
- Avg Likes per Tweet:10.3
- Avg Retweets per Tweet:550.4
- Followers Analyzed:15,609
Engagement Analysis
Based on 3,166 tweetsStevenRayMMA's tweets receive an average of 459 likes and 61 retweets, indicating a dedicated and engaged following. His content is well-received, especially around major events and personal milestones.
10.3
Avg Likes/Tweet
550.4
Avg Retweets/Tweet
32,727
Total Likes
1,742,653
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
48
75th Percentile
458,572
Top Tweet
36.38
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
30.0%
Original
25.9%
Replies
41.9%
Retweets
2.1%
Quotes
0.0%
Threads
2.7%
With Media
68.7%
With Links
26.6%
With #Tags
81.0%
With @Mentions
48.9%
With Emojis
119
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.86
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.2%
Weekday Posts
28.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,166 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 1,328 retweets (42% 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 3,166 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 15,609 followersHis audience includes MMA enthusiasts, grappling fans, and individuals interested in personal stories and family updates. The mix of professional and personal content broadens his appeal.
Good
Audience Quality
16.8%
Suspicion Index
22.1%
Low-Quality %
163
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.7%
Empty Bio
10.8%
<10 Tweets
17.3%
Mass Following (>2K)
0.0%
New (<90 days)
26.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.6%
No URL
6.6%
<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.
148,445,769
Total Potential Reach
163
Median Follower Reach
473
75th Percentile Reach
14.0%
>1K followers
4.6%
>10K followers
2.3%
>50K followers
1.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
74.2%
Creators
11,584 accounts
15.0%
Consumers
2,334 accounts
10.8%
Dormant
1,691 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):
514
Verified Followers
3.29% of total
2,169
Protected Accounts
13.9% 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 | 14,106,905 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GordonRamsay | 7,704,645 | Chef | Cooking, Food, Restaurants |
| @PostMalone | 7,017,633 | Musician | Music, Tattoos, Beer |
| @verified | 4,201,676 | - | - |
| @benlandis | 2,854,412 | - | - |
| @alispagnola | 2,354,646 | Musician | Music, Comedy, Fitness |
| @Tyson_Fury | 2,248,408 | Boxer | Boxing, Fitness, Motivation |
| @charliekirk11 | 2,095,570 | Political Commentator | Conservative, Politics, Christianity |
| @sportbible | 2,075,378 | Sports Media | Sport, Lifestyle, Entertainment |
| @JamesArthur23 | 2,061,814 | Singer | Music, Singer, Songwriter |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,726
Followers With Bio
5,883
Followers Without Bio
62.31%
% With Bio
37.69%
% 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 3,166 analyzed847,819
Combined Engagement
0
Total Likes
847,819
Total Retweets
169,564
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @IncredibleCulk: Hey guys, wanna feel old? I'm 40. You're welcome.
RT @TheNotoriousMMA: THE FIGHT IS ON. https://t.co/KhW0u3jRft
RT @chUckbUte: You've got to be kidding me. After all these years... https://t.co/dhNgjCVzeG
RT @jdmiles11: We found him stranded on a car surrounded by floodwater. But I'm glad to report this dog abandoned by his owners has been rescued! https://t.co/6Ggqe64GY9
RT @FadyRoumieh: Explosion in #Beirut #Lebanon - view from Annahar building. Praying for everyone’s safety 🙏🏼😓 https://t.co/Zf6fXaahUq
Key Insights & Takeaways
His verified status is relatively low, suggesting potential for growth in credibility and reach. He frequently shares highlights from major events, which likely drives engagement and visibility. Personal updates, such as the birth of his child, add a human element and foster connection with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 15,414
- + 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 @StevenRayMMA reveals an well-established Twitter presence with 15,414 followers. The account demonstrates a content-creator strategy, averaging 560.8 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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