John Hartson
All enquiries Tony Clarke @soccerspeaker 07799720483. PR: [email protected]
400,224
Followers
1,161
Following
17,075
Tweets
740.6
Avg Engagement
890
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JohnHartson10'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:2011-06-01
- Verification:No
- Location:Edinburgh, Scotland
Data Summary
- Tweets Analyzed:3,229
- Avg Likes per Tweet:457.4
- Avg Retweets per Tweet:283.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,229 tweetsThe account has high average likes and retweets, suggesting a highly engaged audience. The content resonates emotionally, contributing to strong interaction rates.
457.4
Avg Likes/Tweet
283.2
Avg Retweets/Tweet
1,477,075
Total Likes
914,297
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
23
Median Likes
3
Median Retweets
329
75th Percentile
407,631
Top Tweet
1.85
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
39.1%
Original
21.6%
Replies
23.8%
Retweets
15.5%
Quotes
0.0%
Threads
0.2%
With Media
27.4%
With Links
8.8%
With #Tags
58.7%
With @Mentions
65.7%
With Emojis
106
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.55
Reply/Original Ratio
0.65
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.1%
Weekday Posts
27.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,229 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 770 retweets (24% 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 3,229 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 followersThe audience likely includes soccer fans and individuals interested in cancer awareness. The content also reaches those who follow personal tributes and emotional storytelling.
Average
Audience Quality
27.0%
Suspicion Index
37.6%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.3%
Empty Bio
34.1%
<10 Tweets
10.5%
Mass Following (>2K)
0.0%
New (<90 days)
50.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.3%
No URL
24.0%
<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.
49,612,633
Total Potential Reach
27
Median Follower Reach
148
75th Percentile Reach
5.3%
>1K followers
0.5%
>10K followers
0.2%
>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).
44.2%
Creators
22,123 accounts
21.6%
Consumers
10,821 accounts
34.1%
Dormant
17,056 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):
466
Verified Followers
0.47% of total
10,750
Protected Accounts
10.75% 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 | 14,104,472 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TheNotoriousMMA | 9,928,099 | MMA Fighter | Fighting, Stout, Whiskey |
| @frankieboyle | 2,691,149 | Comedian | Comedy, Residency, Glasgow |
| @TomParker | 803,923 | Musician | Music, Dad, Debatable |
| @laura_woodsy | 725,094 | Sports Broadcaster | Sports, TV, Radio |
| @paul_steele | 647,382 | Travel Blogger | Travel, hiking, photography |
| @PaddyMcGuinness | 584,711 | TV Presenter | Top Gear, Catchpoint, TMO |
| @IamMzilikazi | 546,580 | Musician | Pan-African music, Album, Rise |
| @WelshRugbyUnion | 532,944 | Rugby | Rugby, Wales, #HWFN |
| @itvfootball | 493,105 | Sports Media | Football, Instagram, YouTube |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,551
Followers With Bio
51,449
Followers Without Bio
48.55%
% With Bio
51.45%
% 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 3,229 analyzed790,198
Combined Engagement
51,870
Total Likes
738,328
Total Retweets
158,040
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @Schwarzenegger: I love the Russian people. That is why I have to tell you the truth. Please watch and share. https://t.co/6gyVRhgpFV
RT @LFC: WE’RE PREMIER LEAGUE CHAMPIONS!! 🏆 https://t.co/qX7Duxoslm
RT @seemathewombat: I’m a Dr. I’m about to separate from my family within my home for ?? months. So that I can keeping treating you, wh…
RT @Brink_Thinker: This dude deserves endless retweets 👍 https://t.co/PXNhaU03B2
There is always Hope. #WorldCancerDay https://t.co/DDKSzYU0Jj
Key Insights & Takeaways
The account is managed by Tony Clarke, with a focus on soccer and cancer awareness. Personal tributes and emotional storytelling are central to the content. There is a strong emphasis on raising awareness for cancer and supporting affected families.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 400,224
- + 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 @JohnHartson10 reveals an well-established Twitter presence with 400,224 followers. The account demonstrates a content-creator strategy, averaging 740.6 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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