مشعل حمد
اللهم ارحم عبدك عبداللطيف الحميميدي و بشره بالفردوس الأعلى بجوار نبينا محمد -ص- .. فاصبِر إن عَوض اللّٰهِ سَیُمحي مُرّ مَا رأيتَ .. كاتب 📚✏️مؤسس @darshghf
1,167,337
Followers
437
Following
134,135
Tweets
604.7
Avg Engagement
450
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @YaMsh3L'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:2011-03-22
- Verification:No
- Location:Snapchat: Yamsh3L
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:453.9
- Avg Retweets per Tweet:150.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,241 tweetsYaMsh3L's tweets receive a high level of engagement, with an average of 4,487 likes and 1,276 retweets per tweet. Their content is widely appreciated and shared, indicating a strong emotional connection with followers.
453.9
Avg Likes/Tweet
150.8
Avg Retweets/Tweet
1,471,101
Total Likes
488,705
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
396
Median Likes
130
Median Retweets
839
75th Percentile
8,988
Top Tweet
0.52
Engagement per 1K Followers
Normalized influence metric
Consistent
Engagement Pattern
Steady engagement across posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
84.7%
Original
11.3%
Replies
3.4%
Retweets
0.6%
Quotes
0.0%
Threads
0.0%
With Media
9.0%
With Links
3.1%
With #Tags
15.4%
With @Mentions
24.5%
With Emojis
53
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.13
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
71.1%
Weekday Posts
28.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 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 109 retweets (3% 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 3,241 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 followersYaMsh3L's audience appears to be primarily Arabic-speaking individuals interested in spirituality, family values, and emotional content. They are likely looking for inspiration, comfort, and connection through heartfelt messages.
Average
Audience Quality
27.8%
Suspicion Index
25.0%
Low-Quality %
51
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.0%
Empty Bio
22.2%
<10 Tweets
28.4%
Mass Following (>2K)
0.0%
New (<90 days)
57.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.9%
No URL
14.9%
<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.
29,088,976
Total Potential Reach
51
Median Follower Reach
181
75th Percentile Reach
5.1%
>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).
60.1%
Creators
30,054 accounts
17.6%
Consumers
8,823 accounts
22.2%
Dormant
11,123 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):
417
Verified Followers
0.41% of total
14,770
Protected Accounts
14.62% 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 |
|---|---|---|---|
| @Neshan | 3,482,891 | TV Host | TV, Host, Media Trainer |
| @gorgeous4ew | 1,988,373 | Entertainment News | Celebrity news, Entertainment, World events |
| @SinghLions | 1,335,162 | Restaurateur | Food, Travel, Influencer |
| @LeBronJames | 1,003,881 | - | - |
| @Altabtabie | 838,287 | Politician | Politics, Kuwait, Arab World |
| @Overthinking_A9 | 684,710 | Therapist | Mental health, Support, Expression |
| @TamerAshour | 594,901 | Singer | Music, Entertainment, Personal Life |
| @ll9il3 | 489,241 | Influencer | Love, Shelter, Devotion |
| @lsh3erl | 455,355 | Mother | Family, Motherhood, Age |
| @aldew3n_q8 | 454,378 | Blogger | Social, Youth, Kuwaiti Heritage |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,612
Followers With Bio
38,386
Followers Without Bio
61.99%
% With Bio
38.01%
% 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 3,241 analyzed35,848
Combined Engagement
28,610
Total Likes
7,238
Total Retweets
7,170
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
0%
With Links
Topical Analysis:
أكثر انسانه بالبيت حنونة أهي الأخت الوسطى ♥️
عَسى عامنا الجَديد تكثَر تباشيره ♥️
ترى الأخت الصغيرة أغلى شي بالبيت ❤️
الاخت الصغيرة المفروض يمشي لها راتب شهريًا وتسافر بين فترة وفترة على الضغوطات اللي تمر فيها
الله يدخل كل أخت كبيره الجنة
Key Insights & Takeaways
The user frequently shares spiritual and emotional content, often referencing faith and family. Their tweets are highly engaging, suggesting a deep connection with their audience. They are likely using their platform to inspire, comfort, and connect with followers through personal and heartfelt messages.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,167,337
- + 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 @YaMsh3L reveals an well-established Twitter presence with 1,167,337 followers. The account demonstrates a content-creator strategy, averaging 604.7 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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