Conor Nigel Benn
UNDEFEATED | GOD FEARING MAN | YOUTUBE CBTVofficial
179,324
Followers
4,765
Following
7,588
Tweets
206.7
Avg Engagement
225
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ConorNigel'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:2012-08-26
- Verification:No
- Location:Essex
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:165.4
- Avg Retweets per Tweet:41.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,200 tweetsHis tweets typically receive high engagement, with an average of 7,834 likes and 1,208 retweets per post. His content is well-received and widely shared within his community.
165.4
Avg Likes/Tweet
41.3
Avg Retweets/Tweet
529,248
Total Likes
132,036
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
3
Median Retweets
109
75th Percentile
50,924
Top Tweet
1.15
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
28.5%
Original
34.1%
Replies
34.3%
Retweets
3.1%
Quotes
0.0%
Threads
0.2%
With Media
39.1%
With Links
20.2%
With #Tags
72.3%
With @Mentions
38.9%
With Emojis
94
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.2
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.0%
Weekday Posts
29.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 1,099 retweets (34% 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 3,200 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 fans of boxing, particularly those interested in the BloodLine legacy and Eubank Jr. content. The audience is likely male and interested in sports and social media engagement.
Average
Audience Quality
25.4%
Suspicion Index
35.0%
Low-Quality %
36
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.7%
Empty Bio
26.7%
<10 Tweets
9.1%
Mass Following (>2K)
0.0%
New (<90 days)
53.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.4%
No URL
18.2%
<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.
43,360,142
Total Potential Reach
36
Median Follower Reach
156
75th Percentile Reach
3.5%
>1K followers
0.4%
>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).
51.6%
Creators
25,800 accounts
21.7%
Consumers
10,832 accounts
26.7%
Dormant
13,368 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):
392
Verified Followers
0.39% of total
12,336
Protected Accounts
12.21% 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 |
|---|---|---|---|
| @WayneRooney | 17,189,283 | Footballer | Football, Derby County, Charity |
| @joerogan | 10,857,363 | Comedian | Stand up comedy, MMA, psychedelics |
| @piersmorgan | 8,467,478 | Journalist | quotes, media, controversy |
| @WestHam | 2,600,344 | Supporter Services | Football, Supporter Services, Official App |
| @amirkingkhan | 2,087,107 | Boxer | Boxing, Champion, President |
| @BaronDavis | 1,029,434 | Entrepreneur | Investor, Finesser, Creator |
| @GMB | 1,003,745 | TV Show | News, Television, Entertainment |
| @samclaflin | 873,931 | Actor | Movies, Fitness, Adventure |
| @FrankieCocozza | 806,695 | Singer | Music, Tattoos, Reality TV |
| @TonyFergusonXT | 802,115 | MMA Fighter | Faith, Family, Crew |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
52,235
Followers With Bio
48,763
Followers Without Bio
51.72%
% With Bio
48.28%
% 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 3,200 analyzed100,357
Combined Engagement
41,802
Total Likes
58,555
Total Retweets
20,071
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
RT @anthonyfjoshua: https://t.co/1xYmZodjWc
Everyone who retweets and likes I’ll follow!!!!
World Champion In the Making!!! https://t.co/Q1dC3Yv8r8
Just sparred 10 rounds.. While someone’s having DADDY ISSUES… 👨👦 #EubankJrBenn #BloodLine https://t.co/BPm4bfp4MJ
HERITAGE & LEGACY ! #BloodLine https://t.co/44cerTaGSq
Key Insights & Takeaways
He leverages his verified status and platform to promote his YouTube channel and boxing content. His tweets often include hashtags and links to specific content, indicating a strategic approach to audience engagement. He emphasizes themes of legacy, heritage, and family, which resonate strongly with his followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 179,324
- + High community engagement through conversations
- + 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 @ConorNigel reveals an well-established Twitter presence with 179,324 followers. The account demonstrates a conversation-first approach, averaging 206.7 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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