Mike Keegan
Sports News Correspondent/Sports Agenda Editor @mailsport https://www.facebook.com/unsupportedbrowser [email protected]
136,440
Followers
2,328
Following
31,173
Tweets
407.4
Avg Engagement
1,084
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MikeKeegan_DM'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:2009-06-09
- Verification:No
- Location:Around
Data Summary
- Tweets Analyzed:3,206
- Avg Likes per Tweet:211.8
- Avg Retweets per Tweet:195.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,206 tweetsHis tweets receive an average of 16,913 likes and 2,458 retweets, indicating strong audience interaction. The content is often shared and discussed, especially when it involves exclusives or breaking news.
211.8
Avg Likes/Tweet
195.6
Avg Retweets/Tweet
678,894
Total Likes
627,176
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
4
Median Retweets
92
75th Percentile
73,017
Top Tweet
2.99
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
40.6%
Original
26.9%
Replies
24.8%
Retweets
7.7%
Quotes
0.0%
Threads
0.1%
With Media
45.7%
With Links
8.5%
With #Tags
53.8%
With @Mentions
6.5%
With Emojis
141
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.66
Reply/Original Ratio
0.31
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.3%
Weekday Posts
26.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,206 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 794 retweets (25% 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 3,206 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 10,000 followersHis audience is primarily interested in sports news, especially football (soccer), with a focus on Premier League and Scottish football clubs. The audience likely includes fans and followers of major sports teams and media outlets.
Average
Audience Quality
21.6%
Suspicion Index
29.3%
Low-Quality %
37
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.9%
Empty Bio
20.2%
<10 Tweets
7.0%
Mass Following (>2K)
0.0%
New (<90 days)
48.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.5%
No URL
12.8%
<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.
5,550,048
Total Potential Reach
37
Median Follower Reach
164
75th Percentile Reach
5.2%
>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).
58.8%
Creators
5,878 accounts
21.1%
Consumers
2,105 accounts
20.2%
Dormant
2,017 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):
55
Verified Followers
0.55% of total
1,024
Protected Accounts
10.24% 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 |
|---|---|---|---|
| @Charlie26Adam | 442,010 | Football Coach | Football, Coaching, Management |
| @ercantofficial | 369,762 | Sports commentator | Spor, Spiker, Gazeteci |
| @ManUtdBorn | 256,275 | - | - |
| @talkchelsea | 236,917 | Sports Blogger | Chelsea, Football, News |
| @TenHagBall_ | 230,444 | - | - |
| @iamjuddah | 223,508 | - | - |
| @Aboa_Banku1 | 219,522 | - | - |
| @Amos_40 | 177,712 | Goalkeeper | Football, Goalkeeping, Sports Marketing |
| @jamiereuben | 102,379 | Sports Executive | Football, Horse Racing, Charity |
| @Malachians | 94,085 | Sports Journalist | Boxing, Football, Wellbeing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,412
Followers With Bio
4,588
Followers Without Bio
54.12%
% With Bio
45.88%
% 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 3,206 analyzed227,905
Combined Engagement
65,513
Total Likes
162,392
Total Retweets
45,581
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
EXCLUSIVE: Liverpool skipper Jordan Henderson has called an emergency meeting of the Premier League captains to discuss a response to ESL. More @MailSport shortly.
RT @MinoRaiola: Current health status for the ones wondering: pissed off second time in 4 months they kill me. Seem also able to ressuscitate.
RT @DeBruyneKev: https://t.co/qNYaNgyDuk
RT @LukeShaw23: https://t.co/W1UTC5pdqE
RT @ChelseaFC: A star in LA! 🇺🇸 #SterlingIsChelsea https://t.co/kgTYEI3ybn
Key Insights & Takeaways
He frequently reports on exclusive sports news and breaking updates, which drives high engagement. His content often includes statements from players and clubs, making it relevant and timely. He uses hashtags and links to media outlets, which helps in driving traffic and increasing visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 136,440
- + 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 @MikeKeegan_DM reveals an well-established Twitter presence with 136,440 followers. The account demonstrates a content-creator strategy, averaging 407.4 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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