14,627
Followers
60
Following
189
Tweets
742.1
Avg Engagement
51
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MarkMcguinness0'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:2013-02-22
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:181
- Avg Likes per Tweet:238.5
- Avg Retweets per Tweet:503.6
- Followers Analyzed:13,942
Engagement Analysis
Based on 181 tweetsHis tweets receive a high number of likes and retweets, indicating strong engagement from his followers.
238.5
Avg Likes/Tweet
503.6
Avg Retweets/Tweet
43,176
Total Likes
91,148
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
16
Median Retweets
365
75th Percentile
37,280
Top Tweet
50.74
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
24.3%
Original
6.1%
Replies
50.8%
Retweets
18.8%
Quotes
0.0%
Threads
0.6%
With Media
86.7%
With Links
44.8%
With #Tags
66.3%
With @Mentions
77.9%
With Emojis
112
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.25
Reply/Original Ratio
0.37
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.4%
Weekday Posts
27.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 181 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 92 retweets (51% 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 181 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 13,942 followersHis audience appears to be primarily football fans, especially those following his career transitions and club updates.
Good
Audience Quality
17.7%
Suspicion Index
19.7%
Low-Quality %
131
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.4%
Empty Bio
11.9%
<10 Tweets
17.9%
Mass Following (>2K)
0.0%
New (<90 days)
33.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.0%
No URL
7.0%
<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.
53,296,469
Total Potential Reach
131
Median Follower Reach
374
75th Percentile Reach
8.9%
>1K followers
0.9%
>10K followers
0.2%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
72.6%
Creators
10,118 accounts
15.5%
Consumers
2,164 accounts
11.9%
Dormant
1,660 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):
68
Verified Followers
0.49% of total
1,431
Protected Accounts
10.26% of total
8 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 |
|---|---|---|---|
| @Arsenal | 21,483,663 | Sports Team | Football, Club, Official |
| @JohnCena | 14,106,659 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,237 | - | - |
| @RealMattLucas | 1,260,954 | Actor | Comedy, Acting, Television |
| @IamMzilikazi | 535,411 | Musician | Pan-African music, Album, Rise |
| @charles_watts | 489,492 | Sports Journalist | Arsenal, Football, Family |
| @THE_THEO_FORD | 470,696 | - | - |
| @ArsenalAcademy | 470,184 | Soccer Academy | Football, Youth Development, Talent Identification |
| @CardiffCityFC | 389,757 | Football Club | Football, Bluebirds, CityAsOne |
| @swfc | 363,485 | Football Club | Football, Owls, #swfc |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,420
Followers With Bio
4,522
Followers Without Bio
67.57%
% With Bio
32.43%
% 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 181 analyzed65,409
Combined Engagement
0
Total Likes
65,409
Total Retweets
13,082
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @rogerfederer: #Fedal https://t.co/DiTxIcXf7u
RT @OfficialPDC: NINE DARTER FROM GARY ANDERSON | Anderson reels in the biggest fish of all to send the Winter Gardens crowd into a frenzy!! #BVDarts #LoveTheDarts https://t.co/n0yhmcnksc
RT @LukeShaw23: Here’s a bit of inspiration for the England boys!! Good luck and make us proud!🦁#threelions @England https://t.co/13tQE7q3Dh
RT @Jbarksdale_: Jackson said he will uppercut Father Christmas 🤣🤣🤣 https://t.co/eYEm5KyVvq
RT @JackWilshere: Fair to say i enjoyed that! I told you on this team we fight till the end. Important we didn't give up and got the point. Thanks to all of the fans tonight, one of the best atmospheres I've experienced at the Emirates! 🔴❤ https://t.co/ZaoewVj11e
Key Insights & Takeaways
He frequently shares updates about his football career, including loan moves and club appreciation. He uses emojis and hashtags to enhance the emotional tone of his posts. His content is focused on personal achievements and gratitude towards supporters.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 14,627
- + 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 @MarkMcguinness0 reveals an well-established Twitter presence with 14,627 followers. The account demonstrates a content-creator strategy, averaging 742.1 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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