FOX Sports: UFC
Round the clock @UFC coverage. 24/7, 365.
670,546
Followers
1,059
Following
39,935
Tweets
382.5
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @UFCONFOX'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:2011-08-18
- Verification:No
- Location:Inside the Octagon
Data Summary
- Tweets Analyzed:3,198
- Avg Likes per Tweet:226.5
- Avg Retweets per Tweet:156.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,198 tweetsUFCONFOX's tweets consistently receive high engagement, indicating a loyal and active fan base. The account's focus on breaking news and event highlights drives interaction and retweets.
226.5
Avg Likes/Tweet
156.0
Avg Retweets/Tweet
724,417
Total Likes
498,828
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
73
Median Likes
31
Median Retweets
306
75th Percentile
90,725
Top Tweet
0.57
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
71.2%
Original
0.8%
Replies
26.2%
Retweets
1.9%
Quotes
0.0%
Threads
0.0%
With Media
82.3%
With Links
42.6%
With #Tags
69.2%
With @Mentions
15.3%
With Emojis
117
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
55.5%
Weekday Posts
44.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,198 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 837 retweets (26% 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 3,198 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 50,000 followersThe primary audience consists of UFC enthusiasts and MMA fans who seek real-time updates and analysis. The account's 24/7 coverage appeals to fans looking for constant engagement with the sport.
Average
Audience Quality
30.6%
Suspicion Index
36.1%
Low-Quality %
10
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.0%
Empty Bio
38.5%
<10 Tweets
7.3%
Mass Following (>2K)
0.0%
New (<90 days)
71.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.9%
No URL
26.3%
<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.
36,392,877
Total Potential Reach
10
Median Follower Reach
54
75th Percentile Reach
1.9%
>1K followers
0.2%
>10K followers
0.1%
>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).
37.0%
Creators
18,522 accounts
24.5%
Consumers
12,230 accounts
38.5%
Dormant
19,248 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):
359
Verified Followers
0.36% of total
11,689
Protected Accounts
11.57% of total
6 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 | 14,105,141 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ollymurs | 6,830,166 | Singer | Music, Touring, Summer |
| @KendraLust | 1,525,463 | Podcaster | sports, sunny days, fashion |
| @JDaIey | 1,227,699 | Owner | Esports, Gaming, Sponsorship |
| @ZachBoychuk | 829,929 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @NOH8Campaign | 801,889 | Activism | equality, bullying, discrimination |
| @WWEonFOX | 680,857 | Sports Broadcasting | WWE, FOX Sports, Wrestling |
| @solalexasch | 678,468 | Musician | Music, Travel, Tattoos |
| @garettnelson | 650,724 | Entrepreneur | Travel, Investing, Adventure |
| @theScore | 626,817 | Sports Media | Sports, Mobile, Personalized |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,252
Followers With Bio
50,747
Followers Without Bio
49.75%
% With Bio
50.25%
% 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 3,198 analyzed161,440
Combined Engagement
28,359
Total Likes
133,081
Total Retweets
32,288
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @TheNotoriousMMA: Good knock. Looking forward to the rematch.
1 second left... No better way to go out on the 25th Anniversary! https://t.co/aGg1Z0bAeO
How did Kevin Lee survive this?? https://t.co/42XupkDfr3
RT @dc_mma: Hey guys, two wrongs don’t make it right. Conor didn’t deserve that. No one did. But some things aren’t for fight promotion. Re…
RT @TeamKhabib: I would like to address @ufc Why didn't you fire anyone when their team attacked the bus and injured a couple of people?…
Key Insights & Takeaways
The account leverages major UFC events to drive engagement and maintain relevance. It uses a mix of event coverage, analysis, and post-fight discussions to keep the audience engaged. The use of verified links and collaborations with analysts enhances credibility and expands reach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 670,546
- + 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 @UFCONFOX reveals an well-established Twitter presence with 670,546 followers. The account demonstrates a content-creator strategy, averaging 382.5 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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