Mark Ogden
Senior Writer, ESPN https://espn.co.uk/football/
281,279
Followers
718
Following
30,204
Tweets
483.2
Avg Engagement
3,441
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MarkOgden_'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:2009-10-20
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:350.2
- Avg Retweets per Tweet:133.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsHis tweets often generate high engagement, indicating a strong connection with his audience and a tendency to spark debate.
350.2
Avg Likes/Tweet
133.0
Avg Retweets/Tweet
1,137,467
Total Likes
432,042
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
40
Median Likes
5
Median Retweets
172
75th Percentile
158,462
Top Tweet
1.72
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
56.7%
Original
30.3%
Replies
9.3%
Retweets
3.8%
Quotes
0.0%
Threads
0.2%
With Media
36.5%
With Links
1.8%
With #Tags
42.5%
With @Mentions
2.4%
With Emojis
122
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.53
Reply/Original Ratio
0.41
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.6%
Weekday Posts
29.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 301 retweets (9% 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 3,248 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 is primarily interested in sports and current events, with a focus on international competitions and political issues.
Average
Audience Quality
27.6%
Suspicion Index
32.2%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.3%
Empty Bio
30.9%
<10 Tweets
11.8%
Mass Following (>2K)
0.0%
New (<90 days)
60.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.5%
No URL
20.2%
<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.
38,374,731
Total Potential Reach
29
Median Follower Reach
135
75th Percentile Reach
4.4%
>1K followers
0.5%
>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).
45.5%
Creators
22,771 accounts
23.6%
Consumers
11,804 accounts
30.9%
Dormant
15,425 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):
338
Verified Followers
0.34% of total
9,127
Protected Accounts
9.13% of total
5 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 | 14,101,984 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RailaOdinga | 4,273,455 | Politician | Politics, Infrastructure, Africa |
| @EPLworld | 3,175,505 | Sports journalist | English Premier League, European football, Arab football |
| @TheRealPitso | 1,214,668 | Football Coach | Football, Coaching, Awards |
| @CybersmileHQ | 1,156,611 | Nonprofit | kindness, equality, inclusion |
| @campbellclaret | 1,009,014 | Writer | Writing, Communication, Mental Health |
| @MwanaFA | 747,118 | Politician | Rapper, Family, Business |
| @laura_woodsy | 726,132 | Sports Broadcaster | Sports, TV, Radio |
| @CRonaldoNews | 713,374 | Fan Account | Football, Cristiano Ronaldo, Updates |
| @WipeHomophobia | 696,976 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,073
Followers With Bio
40,927
Followers Without Bio
59.07%
% With Bio
40.93%
% 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 3,248 analyzed378,027
Combined Engagement
242,296
Total Likes
135,731
Total Retweets
75,605
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
Morocco celebrate their win against Spain with a Palestinian flag. Every North African and Middle East team has made sure that the Palestine issue is prominent at every game https://t.co/ZJU2Dog9Ee
RT @UEFA: Following the medical emergency involving Denmark’s player Christian Eriksen, a crisis meeting has taken place with both teams an…
Pepper spraying fans outside stadium in Paris https://t.co/drgzEpR9gD
It wasn’t Qatar’s moment to cover Messi’s Argentina shirt with their own garment of clothing
Man Utd have had more shots on target against their own keeper than against Man City’s. Says a lot
Key Insights & Takeaways
He frequently blends sports coverage with political commentary, often highlighting social and geopolitical issues. His content is provocative and attention-grabbing, which drives high engagement. He uses visual media effectively to enhance the impact of his tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 281,279
- + 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 @MarkOgden_ reveals an well-established Twitter presence with 281,279 followers. The account demonstrates a content-creator strategy, averaging 483.2 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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