Omar salah
Goalkeeper at @ZSCOfficial and Egyptian national team 👑👑
270,580
Followers
92
Following
332
Tweets
1,140.4
Avg Engagement
85
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @OmarSalah'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:2016-12-16
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:324
- Avg Likes per Tweet:790.2
- Avg Retweets per Tweet:350.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 324 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is well-received and resonates with his followers.
790.2
Avg Likes/Tweet
350.2
Avg Retweets/Tweet
256,038
Total Likes
113,458
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
88
Median Likes
5
Median Retweets
822
75th Percentile
58,489
Top Tweet
4.21
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
34.6%
Original
47.5%
Replies
15.1%
Retweets
2.8%
Quotes
0.0%
Threads
0.0%
With Media
37.0%
With Links
8.3%
With #Tags
69.1%
With @Mentions
61.7%
With Emojis
72
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.38
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
73.1%
Weekday Posts
26.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 324 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 49 retweets (15% 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 324 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 football fans and supporters of ZSC and the Egyptian national team. The engagement suggests a loyal and passionate fan base.
Average
Audience Quality
34.3%
Suspicion Index
37.5%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.0%
Empty Bio
53.2%
<10 Tweets
5.0%
Mass Following (>2K)
0.0%
New (<90 days)
77.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.8%
No URL
33.0%
<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.
13,364,703
Total Potential Reach
7
Median Follower Reach
33
75th Percentile Reach
1.6%
>1K followers
0.1%
>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).
18.1%
Creators
9,074 accounts
28.7%
Consumers
14,339 accounts
53.2%
Dormant
26,587 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):
12
Verified Followers
0.01% of total
5,342
Protected Accounts
5.29% of total
3 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 |
|---|---|---|---|
| @RailaOdinga | 4,273,408 | Politician | Politics, Infrastructure, Africa |
| @HaythamFarouk | 1,483,564 | Football Analyst | Football, Analyst, Sports |
| @TarrekHameed | 1,356,716 | Footballer | Football, Ittihad, Egypt |
| @SinghLions | 1,334,518 | Restaurateur | Food, Travel, Influencer |
| @KarimRamzy | 1,095,577 | TV Presenter | Sports, Media, Egypt |
| @mohamedawaad | 691,914 | Influencer | Religion, Mercy, Gratitude |
| @karimkhattab_ | 673,654 | Sports Presenter | Football, TV, Radio |
| @14_ahmedeid | 589,323 | Footballer | Football, Egypt, Sports |
| @IsmailYoussef | 481,351 | Footballer | Football, Egypt, Board Member |
| @AhmedYRayyan | 452,292 | Footballer | Football, Egyptian National Team, Al Ahly |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,078
Followers With Bio
39,921
Followers Without Bio
60.47%
% With Bio
39.53%
% 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 324 analyzed120,831
Combined Engagement
33,562
Total Likes
87,269
Total Retweets
24,166
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @PSG_English: 😄 https://t.co/TJ0h5fCC6o
RT @AlaaMubarak_: إنا لله و إنا اليه راجعون ، انتقل الي رحمه الله صباح اليوم والدي الرئيس مبارك . اللهم أعفو عنه و اغفر له و ارحمه . https:…
10 ❤️ https://t.co/lG9eKbXA3F
مبروك لشعب الزمالك شكرا ليكوا جدا شكرا لكل الناس اللي كانت سبب ف الفرحة دي . حابب بس اشكر كابتن طارق حامد جدا جدا جدا وليا الفخر والله أني لعبت معاك #شكرا_طارق_حامد ❤️❤️ @TarrekHameed
🧨🧨🧨 https://t.co/RXUtSRoKIv
Key Insights & Takeaways
His tweets often include personal gratitude and appreciation for teammates, highlighting team spirit and loyalty. He uses emojis and hashtags to enhance emotional expression and reach a broader audience. His content is mostly celebratory and focused on fan engagement rather than professional updates.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 270,580
- + 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 @OmarSalah reveals an exceptionally influential Twitter presence with 270,580 followers. The account demonstrates a conversation-first approach, averaging 1,140.4 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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