Jonny Clayton
2021 Premier League & WGP Champion Married to Elen 2 great kids Ffion ,Llyr @modusdarts180 @reddragondarts @TheDJshop @NolanWindows @Zwasports
57568
Followers
539
Following
1314
Tweets
496,0
Avg Engagement
104
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JonnyClay9'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: Mid-Tier (10K+)
- Account Age:2014-11-18
- Verification:No
- Location:Pontyberem, Wales
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:482,2
- Avg Retweets per Tweet:13,8
- Followers Analyzed:50000
Engagement Analysis
Based on 500 tweetsHis tweets receive an average of 8,010 likes and 237 retweets, indicating a highly engaged audience. The content is often emotional and celebratory, which drives interaction.
482,2
Avg Likes/Tweet
13,8
Avg Retweets/Tweet
241119
Total Likes
6888
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
105
Median Likes
5
Median Retweets
415
75th Percentile
17899
Top Tweet
8,62
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
35,8%
Original
4,2%
Replies
32,2%
Retweets
27,8%
Quotes
0,0%
Threads
0,6%
With Media
57,2%
With Links
1,4%
With #Tags
78,6%
With @Mentions
81,2%
With Emojis
161
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,12
Reply/Original Ratio
0,86
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
67,2%
Weekday Posts
32,8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 161 retweets (32% 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 500 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 50000 followersHis audience includes fellow darts players, fans of the sport, and followers interested in his personal life. The audience is likely engaged with sports and entertainment content.
Average
Audience Quality
21,1%
Suspicion Index
30,8%
Low-Quality %
61
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48,6%
Empty Bio
20,0%
<10 Tweets
8,4%
Mass Following (>2K)
0,0%
New (<90 days)
42,0%
Low Ratio (<0.1)
0,0%
New (<180 days)
94,0%
No URL
12,9%
<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.
22933817
Total Potential Reach
61
Median Follower Reach
224
75th Percentile Reach
4,4%
>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).
60,6%
Creators
30283 accounts
19,5%
Consumers
9726 accounts
20,0%
Dormant
9991 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):
258
Verified Followers
0.47% of total
6199
Protected Accounts
11.21% of total
7 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 |
|---|---|---|---|
| @LeBronJames | 1006041 | - | - |
| @iownjd | 779541 | Lawyer | learn, inspire, engage |
| @laura_woodsy | 724183 | Sports Broadcaster | Sports, TV, Radio |
| @WipeHomophobia | 697403 | - | - |
| @Jaack | 464565 | YouTuber | YouTuber, presenter, host |
| @OfficialPDC | 438069 | Darts | Darts, Professional Sports, Events |
| @Nigelrefowens | 433212 | TV Presenter | Rugby, Diversity, Mental Health |
| @MvG180 | 407827 | Darts Player | Darts, Sponsorship, Design |
| @JohnHartson10 | 400773 | Sports Agent | Football, Sports, Whisky |
| @SkySportsDarts | 304658 | Sports Broadcasting | Darts, Sports, Love |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
28855
Followers With Bio
26453
Followers Without Bio
52.17%
% With Bio
47.83%
% 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 500 analyzed64271
Combined Engagement
62662
Total Likes
1609
Total Retweets
12854
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Lost for words ATM, I gave it my all but full credit to Michael he was equally as good. Very disappointed as I felt this year was my time but I’ll be back next year - thanks to everyone for the year gone, it’s been amazing 🏴🏴👏👏👏🏆🏆🏆🏆 https://t.co/57ImK18UY8
What can I say — ABSOLUTELY BUZZING 🏴🏴🏴🏴🥳🥳🥳- get in there 🏆2021 PREMIER LEAGUE CHAMPION - did I really say that 🙈🥳🥳- BUZZING https://t.co/PtrAfQAIMy
I wasn’t dreaming then 😘😎- I did do it https://t.co/wk0JgMlvm8
Speechless - what a feeling - ABSOLUTELY BUZZING 🥇🏆🏴🏴🏴🏴🏆🏆🏆- https://t.co/4OhfJIGuGL
😍😍🏆🏆 https://t.co/o67A47tIqq
Key Insights & Takeaways
He frequently shares personal achievements and emotions, which resonate with his audience. His content is highly celebratory and motivational, encouraging fan interaction. He uses emojis and hashtags to enhance engagement and visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 57568
- + 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 @JonnyClay9 reveals an well-established Twitter presence with 57568 followers. The account demonstrates a content-creator strategy, averaging 496,0 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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