Ramy Beshay / رامي بشاي
journalist @yallakoranow ارائي الشخصية لا تمثل أي مؤسسة أعمل بها .. زملكاوي حتى النهاية
17,060
Followers
730
Following
3,427
Tweets
50.2
Avg Engagement
46
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Ramybeshay1991'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:2016-05-19
- Verification:No
- Location:cairo
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:47.7
- Avg Retweets per Tweet:2.6
- Followers Analyzed:16,701
Engagement Analysis
Based on 3,247 tweetsHis tweets receive a moderate to high level of engagement, with an average of 1,479 likes and 145 retweets per tweet. This suggests his content resonates well with his followers.
47.7
Avg Likes/Tweet
2.6
Avg Retweets/Tweet
154,857
Total Likes
8,288
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
14
Median Likes
0
Median Retweets
42
75th Percentile
1,902
Top Tweet
2.95
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
81.1%
Original
18.1%
Replies
0.5%
Retweets
0.3%
Quotes
0.0%
Threads
0.0%
With Media
26.4%
With Links
7.3%
With #Tags
17.4%
With @Mentions
25.4%
With Emojis
123
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.22
Reply/Original Ratio
0.53
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.0%
Weekday Posts
30.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 17 retweets (1% 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 3,247 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 16,701 followersHis audience is primarily interested in Egyptian football and Zamalek-related news. They are likely fans of the club and follow sports journalism closely.
Average
Audience Quality
23.7%
Suspicion Index
23.9%
Low-Quality %
77
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.4%
Empty Bio
22.8%
<10 Tweets
18.6%
Mass Following (>2K)
0.0%
New (<90 days)
48.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.0%
No URL
13.4%
<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.
38,044,453
Total Potential Reach
77
Median Follower Reach
302
75th Percentile Reach
9.4%
>1K followers
0.9%
>10K followers
0.3%
>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).
54.1%
Creators
9,039 accounts
23.0%
Consumers
3,848 accounts
22.8%
Dormant
3,814 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):
40
Verified Followers
0.24% of total
1,258
Protected Accounts
7.53% 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 |
|---|---|---|---|
| @JohnCena | 14,106,898 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,674 | - | - |
| @ibrahimabdgawad | 2,276,849 | TV Presenter | Sports, Television, Social Media |
| @HaythamFarouk | 1,481,088 | Football Analyst | Football, Analyst, Sports |
| @HHathout | 1,175,915 | Sports Presenter | Sports, TV, Radio |
| @SalemAlSehman | 733,343 | Journalist | Journalism, Arab Union, Retweet |
| @14_ahmedeid | 588,274 | Footballer | Football, Egypt, Sports |
| @Qatari | 571,191 | Lawyer | Real Madrid, PSG, Arsenal |
| @IsmailYoussef | 481,168 | Footballer | Football, Egypt, Board Member |
| @Tamer_Donga_20 | 427,546 | Football Coach | Football, Coaching, Zamalek |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
10,961
Followers With Bio
5,740
Followers Without Bio
65.63%
% With Bio
34.37%
% 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 3,247 analyzed8,891
Combined Engagement
8,480
Total Likes
411
Total Retweets
1,778
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
الزمالك يفسخ عقد حمدي النقاز بالتراضي.. اللاعب سيقوم بإعادة الـ٤٠٠ الف دولار مقدم التعاقد والنادي سيتنازل عن الشكوى المقدمة ضد النقاز
وش السعد .. رضا هيكل نجم وكابتن الزمالك في الكرة الطايرة كان حاضر مباراة الزمالك والبنك النهاردة من الملعب https://t.co/1H9sfyOxFK
ابغى اكتب رد طارق حامد لما بعتله الخبر بتاع انه بيحرض اللاعيبه بس استحي 😂
الحكاية بدأت هنا .. بدأت بتريقة وسخرية وتحفيل وقالوا الزمالك بيحتفل بالفوز على الاهلي ٢/٢ .. بالرغم من انهم هما اللي اتعادلوا مع الزمالك .. بدأت ومش هتنتهي بعون الله .. الجاي أفضل 🔥🇦🇹 https://t.co/NHe43LMXfH
شكرا جماهير نادي الزمالك .. شكرا لكل اللي كان موجود في ملعب المحلة .. صنعتوا حالة رهيبة بشهادة الجميع
Key Insights & Takeaways
He frequently covers Zamalek's latest developments and player-related news His content is personal and not affiliated with any institution He engages with his audience through humor and personal reactions
Strengths
- + Established follower base of 17,060
- + 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 @Ramybeshay1991 reveals an growing Twitter presence with 17,060 followers. The account demonstrates a content-creator strategy, averaging 50.2 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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