michael
992,936
Followers
1,335
Following
36,202
Tweets
722.0
Avg Engagement
3,459
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @bisping'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:2009-07-05
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:626.1
- Avg Retweets per Tweet:95.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,241 tweetsHis tweets are highly liked, indicating a strong connection with his followers. Retweets are also relatively high, suggesting his content is often shared within his community.
626.1
Avg Likes/Tweet
95.9
Avg Retweets/Tweet
2,029,320
Total Likes
310,782
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
108
Median Likes
4
Median Retweets
469
75th Percentile
140,356
Top Tweet
0.73
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
31.8%
Original
2.9%
Replies
8.1%
Retweets
57.2%
Quotes
0.0%
Threads
0.4%
With Media
83.6%
With Links
4.0%
With #Tags
26.9%
With @Mentions
11.3%
With Emojis
91
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.09
Reply/Original Ratio
7.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.7%
Weekday Posts
24.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 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 261 retweets (8% 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 3,241 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 appears to be primarily sports and MMA fans, with a focus on those interested in UFC commentary and entertainment news.
Average
Audience Quality
33.9%
Suspicion Index
47.6%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
60.5%
Empty Bio
46.8%
<10 Tweets
5.3%
Mass Following (>2K)
0.0%
New (<90 days)
70.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.0%
No URL
34.6%
<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.
12,525,157
Total Potential Reach
9
Median Follower Reach
41
75th Percentile Reach
1.7%
>1K followers
0.2%
>10K followers
0.1%
>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).
29.8%
Creators
14,918 accounts
23.4%
Consumers
11,696 accounts
46.8%
Dormant
23,386 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):
786
Verified Followers
0.79% of total
7,923
Protected Accounts
7.92% 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 | 14,105,344 | Wrestler | Wrestling, Motivation, Self-promotion |
| @PMarizzle | 751,353 | Adult entertainer | Marriages, scenes, wank |
| @laura_woodsy | 724,639 | Sports Broadcaster | Sports, TV, Radio |
| @IamMzilikazi | 544,701 | Musician | Pan-African music, Album, Rise |
| @72hrs | 485,826 | Streamer | Battle Royale, Team Liquid, Streaming |
| @MagicEden | 482,177 | - | - |
| @ColbyCovMMA | 437,556 | MMA Fighter | MAGA, UFC, White House |
| @Moreno | 430,217 | Influencer | Business, Manager, Serious |
| @ZimEye | 417,884 | Journalist | Zimbabwe, Africa, Journalism |
| @zammit_marc | 387,955 | Filmmaker | Film, Acting, Producing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
40,735
Followers With Bio
59,265
Followers Without Bio
40.73%
% With Bio
59.27%
% 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 3,241 analyzed266,517
Combined Engagement
71,253
Total Likes
195,264
Total Retweets
53,303
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @TheAmandaGorman: It takes a monster to kill children. But to watch monsters kill children again and again and do nothing isn’t just ins…
RT @transscribe: If a weapon is so dangerous that a squad of police officers are too afraid to confront a single person wielding it, that w…
😂😂😂 come on @jakepaul you do know I’m about your size? Surely that excludes me from your “hit list” https://t.co/S9OGPCe920
Pleased to announce I’m signing a new 4 year contract with the ufc to continue my role as commentator. Beyond grateful for this role. Big thanks to @danawhite I really am obsessed with this sport and calling fights for the biggest fight promotion in history is a real honor for me
😂👀 yeah yeah, listen One eye, two eyes. I won a world championship and more importantly the respect of the fight community. Sadly little jakey, that’s 2 things you’ll NEVER do. Ever. Let that sink in. https://t.co/nzhwoEe8MF
Key Insights & Takeaways
He frequently shares personal updates and career milestones, which likely drive engagement. His tweets often include humor and light-hearted comments, which help maintain a friendly and approachable tone. He engages with his audience by responding to comments and participating in conversations, which fosters a sense of community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 992,936
- + 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 @bisping reveals an well-established Twitter presence with 992,936 followers. The account demonstrates a content-creator strategy, averaging 722.0 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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