Mohamed Serageldin
Al Ahly Club Board Member, Al Ahly 🦅 Teaching Assistant,Construction Engineering,AUC🇪🇬 MBA,Sports Management,Real Madrid Universidad🇪🇸
538,081
Followers
162
Following
967
Tweets
1,080.5
Avg Engagement
20
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mserageldin'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:2011-05-25
- Verification:No
- Location:Cairo, Egypt
Data Summary
- Tweets Analyzed:937
- Avg Likes per Tweet:957.9
- Avg Retweets per Tweet:122.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 937 tweetsHis tweets receive a high number of likes and retweets, suggesting a highly engaged audience. The content is well-received and resonates with his followers.
957.9
Avg Likes/Tweet
122.6
Avg Retweets/Tweet
897,529
Total Likes
114,892
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
114
Median Likes
5
Median Retweets
1,241
75th Percentile
65,779
Top Tweet
2.01
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
41.1%
Original
47.7%
Replies
4.2%
Retweets
7.0%
Quotes
0.0%
Threads
0.0%
With Media
43.0%
With Links
5.9%
With #Tags
52.2%
With @Mentions
52.3%
With Emojis
112
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.16
Reply/Original Ratio
1.69
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.0%
Weekday Posts
28.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 937 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 39 retweets (4% 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 937 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 primarily consists of sports enthusiasts, students, and professionals in engineering and management. They are likely interested in sports management, education, and club-related news.
Below Average
Audience Quality
37.7%
Suspicion Index
49.5%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
63.4%
Empty Bio
53.6%
<10 Tweets
6.2%
Mass Following (>2K)
0.0%
New (<90 days)
79.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.5%
No URL
35.6%
<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.
11,752,303
Total Potential Reach
6
Median Follower Reach
35
75th Percentile Reach
1.6%
>1K followers
0.2%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
20.6%
Creators
10,298 accounts
25.8%
Consumers
12,904 accounts
53.6%
Dormant
26,798 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):
70
Verified Followers
0.07% of total
7,436
Protected Accounts
7.36% of total
2 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 |
|---|---|---|---|
| @ElHadary | 2,655,025 | Goalkeeper | Football, Goalkeeping, Egypt |
| @IbrahimsaidAdam | 2,289,524 | Footballer | Al Ahly, Egypt, Love |
| @Afouad2020 | 775,387 | Sports Presenter | Sports, Presenter, Media |
| @mohamedfares07 | 742,469 | TV Presenter | Football, Books, Translation |
| @L9arami | 608,543 | - | - |
| @IamMzilikazi | 546,278 | Musician | Pan-African music, Album, Rise |
| @M_455K | 455,772 | - | - |
| @KSA__20__30 | 446,535 | - | - |
| @brb777888 | 410,055 | - | - |
| @Kramantes2 | 325,688 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42,940
Followers With Bio
58,059
Followers Without Bio
42.52%
% With Bio
57.48%
% 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 937 analyzed120,034
Combined Engagement
38,633
Total Likes
81,401
Total Retweets
24,007
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @MoSalah: Caption included. https://t.co/UFo7LNCTdg
https://t.co/WeKlzYeKT6
RT @trikaofficial: قريبا 🇪🇬🇪🇬🇪🇬🇪🇬🇪🇬🇪🇬
الحمد لله والشكر لله مبروك أجدع أهلاوية 🙏🦅🦅🦅 https://t.co/6KyFdOmZOD
شكراً لكل من هنأني بمناسبة عيد ميلادي ال ٣٤ شوفت كلامكم وتهانيكم الرقيقة الغالية وأسعدتني كثيراً معذرة لعدم التفاعل والرد احتراماً لقرار المجلس الذي التزم به ولكن وجب الشكر لكل أحبائي وأصدقائي المحترمين أعتز بكم كثيراً دي أحلى هدية عيد ميلاد ☺️♥️
Key Insights & Takeaways
He leverages his professional background to build credibility and authority in his tweets. His content often includes personal milestones, which helps in connecting with his audience on a personal level. He maintains a balance between professional and personal updates, which keeps his audience engaged.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 538,081
- + High community engagement through conversations
- + 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 @mserageldin reveals an exceptionally influential Twitter presence with 538,081 followers. The account demonstrates a conversation-first approach, averaging 1,080.5 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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