Coach JK
book available worldwide at https://www.amazon.com/books Media enquiries [email protected]
336,113
Followers
859
Following
27,381
Tweets
700.4
Avg Engagement
713
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @John_Kavanagh'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:2008-03-19
- Verification:No
- Location:Dublin City, Ireland
Data Summary
- Tweets Analyzed:3,240
- Avg Likes per Tweet:207.7
- Avg Retweets per Tweet:492.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,240 tweetsHis tweets receive a high number of likes and retweets, suggesting strong audience interaction. The consistent engagement indicates a dedicated and active community.
207.7
Avg Likes/Tweet
492.7
Avg Retweets/Tweet
672,981
Total Likes
1,596,210
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
4
Median Retweets
139
75th Percentile
358,802
Top Tweet
2.08
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
12.9%
Original
34.0%
Replies
44.3%
Retweets
8.8%
Quotes
0.0%
Threads
0.3%
With Media
36.2%
With Links
16.6%
With #Tags
84.4%
With @Mentions
30.0%
With Emojis
109
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.63
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.4%
Weekday Posts
29.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,240 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 1,435 retweets (44% 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 3,240 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 followers are likely interested in sports, particularly UFC, and social issues. They engage with his content regularly, showing a high level of interest in his perspectives.
Average
Audience Quality
28.1%
Suspicion Index
34.9%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.4%
Empty Bio
32.8%
<10 Tweets
7.0%
Mass Following (>2K)
0.0%
New (<90 days)
65.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.0%
No URL
22.3%
<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.
39,311,004
Total Potential Reach
15
Median Follower Reach
86
75th Percentile Reach
2.8%
>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).
44.3%
Creators
22,161 accounts
22.8%
Consumers
11,419 accounts
32.8%
Dormant
16,420 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):
745
Verified Followers
0.74% of total
11,652
Protected Accounts
11.54% 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 | 14,103,415 | Wrestler | Wrestling, Motivation, Self-promotion |
| @WWESheamus | 4,795,139 | Wrestler | WWE, Sheamus, Celtic Warrior |
| @TonyRobbins | 3,194,732 | Motivational Speaker | Motivation, Entrepreneurship, Leadership |
| @Tyson_Fury | 2,247,995 | Boxer | Boxing, Fitness, Motivation |
| @vitorbelfort | 1,431,699 | MMA Fighter | UFC, Champion, Performance Training |
| @espnmma | 1,278,599 | Sports Journalist | MMA, ESPN, Coverage |
| @BTC_Archive | 1,249,799 | - | - |
| @ginacarano | 1,209,398 | Actress | MMA, Actress, Fitness |
| @Cernovich | 1,123,625 | Author | Hoaxed Movie, Cernovich Watch, Time |
| @ZubyMusic | 1,091,544 | Rapper | Rapper, Author, Podcaster |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,233
Followers With Bio
47,766
Followers Without Bio
52.71%
% With Bio
47.29%
% 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 3,240 analyzed904,371
Combined Engagement
0
Total Likes
904,371
Total Retweets
180,874
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @elonmusk: I hope that even my worst critics remain on Twitter, because that is what free speech means
RT @elonmusk: https://t.co/Q9OjlJhi7f
RT @elonmusk: Entering Twitter HQ – let that sink in! https://t.co/D68z4K2wq7
RT @elonmusk: https://t.co/TW2lLQakE5
RT @TessaRDavis: 10 amazing websites that cost you nothing, but will save you hundreds of hours of your life:
Key Insights & Takeaways
He frequently comments on UFC events and their implications, showing a passion for combat sports. He engages with public debates on topics like gyms as essential services, indicating an interest in social policy. He uses humor and personal anecdotes to connect with his audience, making his content relatable.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 336,113
- + 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 @John_Kavanagh reveals an well-established Twitter presence with 336,113 followers. The account demonstrates a conversation-first approach, averaging 700.4 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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