Omar Al Somah

Omar Al Somah

@omaralsomah

Professional Football Player - Syrian National Team #SOMAH

https://somah.com/ Joined 2012-07-02 Date of Analysis: Dec 16, 2025

1,698,237

Followers

433

Following

2,707

Tweets

1,497.8

Avg Engagement

844

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @omaralsomah'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: Mega Influencer (1M+)
  • Account Age:2012-07-02
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:2,537
  • Avg Likes per Tweet:649.3
  • Avg Retweets per Tweet:848.5
  • Followers Analyzed:50,000

Engagement Analysis

Based on 2,537 tweets

His tweets receive high engagement with average likes and retweets in the tens of thousands, indicating strong fan support and interaction.

649.3

Avg Likes/Tweet

848.5

Avg Retweets/Tweet

1,647,259

Total Likes

2,152,601

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

3

Median Likes

41

Median Retweets

845

75th Percentile

130,930

Top Tweet

0.88

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

33.9%

Original

43.4%

Replies

22.0%

Retweets

0.7%

Quotes

0.0%

Threads

1.7%

With Media

26.4%

With Links

17.5%

With #Tags

70.2%

With @Mentions

29.2%

With Emojis

73

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.28

Reply/Original Ratio

0.03

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

74.9%

Weekday Posts

25.1%

Weekend Posts

Top Hashtags

#os9 (93) #عمر_السومه (30) #الأهلي (26) #العربي (24) #دوري_نجوم_qnb (22) #عمر_السومة (22) #يوم_الجمعة (19) #الاهلي (12) #صدى_الملاعب (10) #سوريا (9)

Most Mentioned

@omaralsomah (352) @alzaaiid (186) @bo_rafea (128) @khaledfcb (74) @alarabi_club (64) @alahli_fc (42) @shamd33 (36) @mustafa_agha (35) @yabgroupksa (25) @halenzi27 (25)

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Content Strategy Analysis

Based on 2,537 tweets

Content Type Distribution

Content Breakdown

Original Tweets 861 (34%)
Replies 1,102 (43%)
Retweets 557 (22%)
Quote Tweets 17 (1%)

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 557 retweets (22% 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 2,537 tweets

Engagement 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 followers

His audience primarily consists of football fans, especially those supporting Al-Ahly, and includes a wide range of supporters from Syria and beyond.

Average

Audience Quality

31.3%

Suspicion Index

38.9%

Low-Quality %

7

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

52.7%

Empty Bio

38.5%

<10 Tweets

9.5%

Mass Following (>2K)

0.0%

New (<90 days)

68.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

96.5%

No URL

25.1%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

21,200,794

Total Potential Reach

7

Median Follower Reach

58

75th Percentile Reach

3.6%

>1K followers

0.5%

>10K followers

0.1%

>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).

35.8%

Creators

17,907 accounts

25.7%

Consumers

12,833 accounts

38.5%

Dormant

19,260 accounts

175

Verified Followers

0.35% of total

0.6%

Professional Bios

founder, dev, analyst, etc.

0.04

Median Follow Ratio

follower/following

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):

المملكة العربية السعودية (1,664) Kingdom of Saudi Arabia (1,365) جدة, المملكة العربية السعودية (682) Jeddah (604) الرياض, المملكة العربية السعود (395) الرياض (242) Riyadh (180) Syria (140) Yemen (138) Cairo, Egypt (134)

274

Verified Followers

0.27% of total

11,247

Protected Accounts

11.14% 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
@Rafinha 2,313,985 Footballer Football, PSG, Philanthropy
@SinghLions 1,335,214 Restaurateur Food, Travel, Influencer
@Ahmed_alshmrani 576,639 صحفي writing, sports analysis, journalism
@muniesa92 550,717 Footballer Football, Al Arabi Club, Player
@Ahmedowsari 520,459 Content Creator YouTube, Content Creator, Social Media
@football_ll55 494,059 Football Analyst Football, Asia, Advertising
@AzizSamily 452,668 YouTuber Entertainment, Fatherhood, Merchandise
@eie767 433,376 - -
@abd_hfc1 431,767 Marketing Manager Campaign Management, Advertising, Sponsorship
@hamad_jassim 406,280 Influencer Photography, Travel, Nature

Top Keywords in Follower Bios

love (325) life (258) student (225) madrid (213) football (209) cr (199) messi (173) engineer (147) player (142) alahli (138)

Top Hashtags in Follower Bios

#cr7 (98) #messi (88) #alahli (80) #ahli (61) #rma (61) #fcb (59) #halamadrid (51) (48) #الاهلي (47) #nfc (45)

49,390

Followers With Bio

51,608

Followers Without Bio

48.9%

% With Bio

51.1%

% 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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Viral Tweets

Top 5 by likes+RTs from 2,537 analyzed

297,425

Combined Engagement

118,083

Total Likes

179,342

Total Retweets

59,485

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

20%

With @Mentions

0%

With Links

Topical Analysis:

Football Al-Ahly Fan Support Gratitude Humility
Omar Al Somah
@omaralsomah

علاقتي بالأهلي والاهلاويين لايمكن ان يزحزها حاسد أو مغبون ولست ملزم بالتبرير لأحد انا للاهلي والأهلي لي والله ولي التوفيق

2017-04-16
Retweets: 64,827 Likes: 66,103 Engagement: 130,930
Omar Al Somah
@omaralsomah

RT @msajidona: لأول 100,000 رتويت لهذه التغريدة سيتم التبرع عن كل شخص بسهم في بناء مسجد على إحدى طرق ⁧#الحرم_المكي⁩ لخدمة الحجاج والمعتمرين…

2020-05-16
Retweets: 46,482 Likes: 0 Engagement: 46,482
Omar Al Somah
@omaralsomah

للغرباء أقاويل كثيرة .. لايدخل بيني وبين الأهلي حاسد .. كالأب وابنه لايفرقهما أحد .. لست ملزم بالتبرير فرابطتي بفريقي لا يغيرها سوى الواحد الأحد ..وأنا باقي في الأهلي وسنمضي معاً لاعبين وإداراة وجماهير لتحقيق الطموح #أنا_باقي

2018-03-17
Retweets: 27,744 Likes: 18,134 Engagement: 45,878
Omar Al Somah
@omaralsomah

الف مبروك للاخضر التأهل تستاهلون والفال لمنتخبنا ان شاءالله 🙏🏼💚❤️

2017-09-05
Retweets: 28,786 Likes: 13,030 Engagement: 41,816
Omar Al Somah
@omaralsomah

الحمدلله على الفوز و التأهل 🙏🏼🙏🏼... ألف مبروك لجماهيرنا والقادم أفضل ان شاءالله💚💚 .... وأعتذر على البلنتي ماعاد أعيدها 😰🙋🏻‍♂️😬

2020-09-26
Retweets: 11,503 Likes: 20,816 Engagement: 32,319

Key Insights & Takeaways

He is deeply connected to Al-Ahly and its fans, which is a central theme in his tweets. He often expresses gratitude and acknowledges his supporters, showing a strong relationship with his fanbase. He also shows humility and apologizes when necessary, which helps maintain a positive public image.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 1,698,237
  • + 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 @omaralsomah reveals an exceptionally influential Twitter presence with 1,698,237 followers. The account demonstrates a conversation-first approach, averaging 1,497.8 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025