Brian Ortega
UFC Athlete, Actor , CEO Brian Ortega Foundation, GJJ Professor.
285,261
Followers
192
Following
3,214
Tweets
222.3
Avg Engagement
1,104
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BrianTcity'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:2012-05-12
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,887
- Avg Likes per Tweet:150.8
- Avg Retweets per Tweet:71.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,887 tweetsBrianTcity's tweets consistently receive high engagement, with an average of 13k likes and 1.2k retweets. His content is both entertaining and informative, driving interaction.
150.8
Avg Likes/Tweet
71.5
Avg Retweets/Tweet
435,411
Total Likes
206,397
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
20
75th Percentile
57,333
Top Tweet
0.78
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
52.8%
Original
10.4%
Replies
35.2%
Retweets
1.6%
Quotes
0.0%
Threads
0.9%
With Media
46.5%
With Links
18.8%
With #Tags
57.5%
With @Mentions
8.0%
With Emojis
93
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.2
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.9%
Weekday Posts
34.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,887 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 1,016 retweets (35% 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 2,887 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 followersHis audience includes fans of mixed martial arts, actors, and entrepreneurs interested in his ventures. They are also drawn to his personal and humorous take on life and career.
Average
Audience Quality
34.1%
Suspicion Index
45.5%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.7%
Empty Bio
46.0%
<10 Tweets
4.2%
Mass Following (>2K)
0.0%
New (<90 days)
76.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.5%
No URL
33.4%
<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.
10,108,851
Total Potential Reach
7
Median Follower Reach
35
75th Percentile Reach
1.3%
>1K followers
0.1%
>10K followers
0.0%
>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).
30.6%
Creators
15,323 accounts
23.4%
Consumers
11,691 accounts
46.0%
Dormant
22,986 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):
441
Verified Followers
0.44% of total
9,676
Protected Accounts
9.58% of total
4 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 |
|---|---|---|---|
| @MCHammer | 3,182,071 | Filmmaker | #Dubnation, #RaiderNation, #FilmMaker |
| @ReneePaquette | 1,244,058 | Entertainment Host | Fashion, Canada, Supporter |
| @Rosie | 1,163,629 | Actor | mom, actor, crafter |
| @solalexasch | 678,973 | Musician | Music, Travel, Tattoos |
| @LAGalaxy | 535,637 | Soccer Team | Soccer, Championships, History |
| @Retro_Utd | 453,601 | Football Fan | Football, Manchester United, Activism |
| @a_bswn | 452,987 | Photographer | Photography, Food, Twitter |
| @Sheldon_Sniper | 438,679 | - | - |
| @SheenaRyder1 | 435,261 | Adult entertainer | Adult, Model, Influencer |
| @Moreno | 430,301 | Influencer | Business, Manager, Serious |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,912
Followers With Bio
53,087
Followers Without Bio
47.44%
% With Bio
52.56%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 2,887 analyzed125,970
Combined Engagement
76,973
Total Likes
48,997
Total Retweets
25,194
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
Khabib train me please 🙏🏽 @ufc
RT @funnyortruth: http://t.co/4wL0mkt00j
RT @FreakyTheory: Success - It's not always what you see. http://t.co/Chub0PubmV
For the record, Dana called me yesterday to see if I would step in against Khabib since Max hadn’t responded yet. I said yes. Eventually, Max replied and Dana gave him the fight. If all goes according to plan, I’ll get my turn - at both of them.
Had a meet and greet today and a kid punched me in the balls 😂😂🤷🏼♂️
Key Insights & Takeaways
He leverages his UFC fame to connect with fans and promote his personal brand. His tweets often include humor and personal anecdotes, which resonate well with his audience. He frequently shares behind-the-scenes insights into his career and personal life.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 285,261
- + 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 @BrianTcity reveals an well-established Twitter presence with 285,261 followers. The account demonstrates a content-creator strategy, averaging 222.3 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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