Al Arabi SC | النادي العربي
71,135
Followers
53
Following
16,070
Tweets
38.6
Avg Engagement
128
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @alarabi_club'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:2011-03-27
- Verification:No
- Location:Grand Hamed Stadium
Data Summary
- Tweets Analyzed:3,234
- Avg Likes per Tweet:30.7
- Avg Retweets per Tweet:7.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,234 tweetsThe account has an average of 1,546 likes and 412 retweets per tweet, indicating a steady but not high level of engagement. The top tweets focus on player transfers and club collaborations.
30.7
Avg Likes/Tweet
7.9
Avg Retweets/Tweet
99,378
Total Likes
25,439
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
3
Median Retweets
31
75th Percentile
7,062
Top Tweet
0.54
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
79.3%
Original
18.7%
Replies
1.1%
Retweets
0.8%
Quotes
0.0%
Threads
0.0%
With Media
81.0%
With Links
67.2%
With #Tags
2.6%
With @Mentions
58.2%
With Emojis
106
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.24
Reply/Original Ratio
0.73
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.7%
Weekday Posts
31.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,234 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 37 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 3,234 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 10,000 followersThe audience likely includes football fans, supporters of Al Arabi Club, and followers of player Omar Al-Somah. The engagement metrics suggest a moderate level of interest from the audience.
Average
Audience Quality
31.3%
Suspicion Index
37.5%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.9%
Empty Bio
34.2%
<10 Tweets
16.2%
Mass Following (>2K)
0.0%
New (<90 days)
65.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.1%
No URL
23.1%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
8,186,508
Total Potential Reach
22
Median Follower Reach
134
75th Percentile Reach
5.6%
>1K followers
0.7%
>10K followers
0.2%
>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).
42.8%
Creators
4,275 accounts
23.1%
Consumers
2,306 accounts
34.2%
Dormant
3,419 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):
69
Verified Followers
0.69% of total
889
Protected Accounts
8.89% 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 |
|---|---|---|---|
| @Rafinha | 2,303,120 | Footballer | Football, PSG, Philanthropy |
| @LeBronJames | 939,943 | - | - |
| @mohamedelgazar4 | 338,921 | Journalist | Sports, Journalism, News |
| @3abtth | 243,895 | Comedian | Chaos, Like me, No introductions |
| @vib222 | 205,612 | Writer | Reading, Diversity, Loss |
| @Yamanyh0 | 168,647 | Influencer | Yemen, Fashion, Moodiness |
| @b4raa20 | 132,351 | Influencer | Love, Memories, Advertisement |
| @nXA5SuzCvNnMsWQ | 125,738 | Unknown | Unfortunately, the information provided does not include any details about the Twitter account's handle, name, or bio. Could you please provide more context or clarify the request? |
| @Noon_Group | 103,309 | Event Planner | events, sound equipment, decorations |
| @Suba7_alkuwari | 91,056 | Writer | Mountaineering, Nature, Adventure |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,806
Followers With Bio
5,194
Followers Without Bio
48.06%
% With Bio
51.94%
% 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 3,234 analyzed14,679
Combined Engagement
11,615
Total Likes
3,064
Total Retweets
2,936
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
السومة_عرباوي 🫡 🔴⚪️ @omaralsomah https://t.co/oL3Rg8x62n
تم الاتفاق مع النادي الأهلي السعودي على إعارة اللاعب عمر السومة إلى نادينا لمدة موسم واحد وشكر خاص للنادي الأهلي السعودي على حسن التعاون #السومة_عرباوي 🫡 https://t.co/x8jrb9DVNr
صاحب الرقم 9 🫡 @omaralsomah https://t.co/FmxsL5TYce
جانب من تدريبات الفريق بمشاركة اللاعب عمر السومة 🔴⚪️ https://t.co/MAr06C8TUi
🫡⏳
Key Insights & Takeaways
The account frequently highlights player transfers and collaborations with other clubs, such as Al-Nassr and Al-Nahda. There is a strong emphasis on player Omar Al-Somah, suggesting he is a key figure for the club. The account appears to be used for official club announcements and updates rather than personal content.
Strengths
- + Established follower base of 71,135
- + 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 @alarabi_club reveals an growing Twitter presence with 71,135 followers. The account demonstrates a content-creator strategy, averaging 38.6 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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