عبدالرحمن مجدي
مقدم برامج رياضية، المنسق الإعلامي الأسبق لمنتخب مصر لكرة القدم
479,988
Followers
410
Following
26,753
Tweets
280.4
Avg Engagement
238
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ARahmanMagdy'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:2011-02-10
- Verification:No
- Location:Cairo,Egypt
Data Summary
- Tweets Analyzed:3,238
- Avg Likes per Tweet:193.6
- Avg Retweets per Tweet:86.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,238 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
193.6
Avg Likes/Tweet
86.8
Avg Retweets/Tweet
626,806
Total Likes
281,138
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
33
Median Likes
1
Median Retweets
191
75th Percentile
71,877
Top Tweet
0.58
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
46.5%
Original
36.3%
Replies
10.2%
Retweets
6.9%
Quotes
0.0%
Threads
0.1%
With Media
18.5%
With Links
2.3%
With #Tags
47.8%
With @Mentions
30.0%
With Emojis
83
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.78
Reply/Original Ratio
0.68
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.2%
Weekday Posts
33.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,238 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 331 retweets (10% 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 3,238 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 likely includes sports fans, media professionals, and Egyptians interested in football and entertainment.
Average
Audience Quality
32.7%
Suspicion Index
32.7%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.6%
Empty Bio
41.8%
<10 Tweets
9.3%
Mass Following (>2K)
0.0%
New (<90 days)
79.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.4%
No URL
24.8%
<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.
27,853,015
Total Potential Reach
14
Median Follower Reach
59
75th Percentile Reach
2.2%
>1K followers
0.2%
>10K followers
0.1%
>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).
26.9%
Creators
13,466 accounts
31.2%
Consumers
15,621 accounts
41.8%
Dormant
20,913 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):
56
Verified Followers
0.06% of total
6,119
Protected Accounts
6.12% of total
4 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 |
|---|---|---|---|
| @abdulrahman | 8,442,806 | Royalty | Saudi, Faith, Trust |
| @Benayadachraf | 3,486,179 | Unknown | Technology, Innovation, Entrepreneurship |
| @Ghonim | 2,861,724 | - | - |
| @Elminesy | 1,350,011 | Journalist | news editing, magazine editing, TV presenting |
| @14_ahmedeid | 589,188 | Footballer | Football, Egypt, Sports |
| @mohmedabogabal | 548,767 | Goalkeeper | Football, Zamalek, Goalkeeping |
| @mserageldin | 526,764 | Sports Management | Football, Teaching, Engineering |
| @AhmedYRayyan | 452,138 | Footballer | Football, Egyptian National Team, Al Ahly |
| @EslamMohareb | 397,899 | Footballer | Football, Ahly Club, Professional |
| @Bo3omar22 | 297,995 | YouTuber | YouTube, online store, classic football clothing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,076
Followers With Bio
38,924
Followers Without Bio
61.08%
% With Bio
38.92%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,238 analyzed110,236
Combined Engagement
6,348
Total Likes
103,888
Total Retweets
22,047
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @Ibra_official: They said it was over. I said NO https://t.co/6RqSB4zyHL
RT @KingJames: A thing of BEAUTY!! #GoReds #YNWA❤️ https://t.co/LxEXia2M04
الفنانين اللي كانوا رايحين يحضروا الماتشين هايكملوا ولا اللقطة خلصت ؟
RT @MoSalah: Getting closer... So believe harder 🙌🏽 https://t.co/ZLEuK0HGjM
RT @midoahm: من يفهم في كرة القدم يعلم ان راموس تعمد إصابة صلاح!!
Key Insights & Takeaways
His top tweets often involve personal opinions and calls for specific individuals to be involved in football administration. He frequently comments on sports events and media coverage, showing a deep engagement with the sports community. He uses humor and personal anecdotes to connect with his audience, making his content relatable and engaging.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 479,988
- + 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 @ARahmanMagdy reveals an well-established Twitter presence with 479,988 followers. The account demonstrates a content-creator strategy, averaging 280.4 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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