صالح محمد الملا
مازال في الوقت مُتسع .. ومازال الحلم ممكن
451,592
Followers
995
Following
36,833
Tweets
43.1
Avg Engagement
688
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SalehAlmulla'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:2010-12-10
- Verification:No
- Location:Kuwait
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:30.3
- Avg Retweets per Tweet:12.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsHis tweets show moderate to high engagement, with a consistent average number of likes and retweets. The content is likely to spark debate, especially on sensitive political topics.
30.3
Avg Likes/Tweet
12.7
Avg Retweets/Tweet
98,549
Total Likes
41,353
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
9
75th Percentile
2,537
Top Tweet
0.1
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
19.8%
Original
78.8%
Replies
1.2%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
9.7%
With Links
6.6%
With #Tags
79.7%
With @Mentions
19.7%
With Emojis
85
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.99
Reply/Original Ratio
0.21
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
91.6%
Weekday Posts
8.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 38 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 3,249 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 appears to be interested in political discourse and social commentary, likely from the Middle East region. The content suggests a focus on national identity and regional politics.
Average
Audience Quality
30.6%
Suspicion Index
39.0%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.4%
Empty Bio
37.4%
<10 Tweets
13.9%
Mass Following (>2K)
0.0%
New (<90 days)
60.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.6%
No URL
26.7%
<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.
31,572,598
Total Potential Reach
23
Median Follower Reach
139
75th Percentile Reach
5.2%
>1K followers
0.8%
>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).
38.5%
Creators
19,247 accounts
24.1%
Consumers
12,063 accounts
37.4%
Dormant
18,690 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):
454
Verified Followers
0.45% of total
10,362
Protected Accounts
10.26% 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 |
|---|---|---|---|
| @TfTeeeSH | 2,544,577 | - | - |
| @LeBronJames | 1,004,916 | - | - |
| @almwatinnews | 954,040 | - | - |
| @NewsBroking | 908,345 | - | - |
| @Almufarreh | 740,874 | News Outlet | News, Kuwait, Comprehensive |
| @a5bar__kwt | 724,492 | Journalist | Health, Media, Sports |
| @sm551 | 622,074 | Writer | Philosophy, Satire, Anger |
| @HumoodAlkhudher | 558,241 | Singer | Music, Album, YouTube |
| @YaserAlyamani | 557,980 | Politician | Politics, Yemen, Activism |
| @IamMzilikazi | 546,507 | Musician | Pan-African music, Album, Rise |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,447
Followers With Bio
49,552
Followers Without Bio
50.94%
% With Bio
49.06%
% 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 3,249 analyzed10,024
Combined Engagement
7,992
Total Likes
2,032
Total Retweets
2,005
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
0%
With Links
Topical Analysis:
#بايدن لم يرضخ لأحد أبداً، هو صهيوني -صريح جداً جداً- جاي يصهينكم ويسحب نفطكم، فلا أحد يعيش الدور.
لم أسافر منذ اربعة سنوات، لكنني سأسافر لأجمل بلد وأجمل شعب. الشعب العماني.
الشيخ عثمان الخميس قال بعدم جواز وضع المرأة لصورتها بوسائل التواصل الاجتماعى.. هل حرم حلالاً أو أحل حراماً!!! الرجل قال رأياً واجتهد عندما سُئل! الحملة عليه غير أخلاقية أبداً، وتجاوزت كل الحدود، ولا تمثل سوى سطحية عقول تدعي الليبرالية وهي لا تحترم أهم قواعدها.. "احترام الآخر".
ككويتي أطلب من كل من يؤيدني، أن ننتصر للضعفاء من المقيمين. عيب علينا، نحن الكويتيين أهل الخير ان نتفق ما قاله الوزير.
الشعب الكويتي عظيم وجميل.. أعاد كل شخص ل"حجمه" الطبيعي.
Key Insights & Takeaways
His tweets often reflect a strong nationalistic sentiment and criticism of foreign influence. He frequently comments on political figures and their policies, indicating a politically active audience. His content includes both personal reflections and public statements, suggesting a blend of private and public engagement.
Strengths
- + Established follower base of 451,592
- + 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 @SalehAlmulla reveals an growing Twitter presence with 451,592 followers. The account demonstrates a conversation-first approach, averaging 43.1 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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