حمد الصويلحي
إعلامي - صحيفة الرياضية - سفير : @Ekhaa_sa - @msajidona - @aamalorg للإعلانات التواصل Whatsapp: 0551120260
1,345,201
Followers
1,634
Following
63,763
Tweets
391.1
Avg Engagement
2,362
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @H_swilhy'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:2011-06-17
- Verification:No
- Location:الرياض, المملكة العربية السعودية
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:164.1
- Avg Retweets per Tweet:227.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,244 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
164.1
Avg Likes/Tweet
227.0
Avg Retweets/Tweet
532,222
Total Likes
736,368
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
87
Median Likes
40
Median Retweets
337
75th Percentile
103,833
Top Tweet
0.29
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
68.2%
Original
7.9%
Replies
19.9%
Retweets
4.0%
Quotes
0.0%
Threads
0.0%
With Media
60.8%
With Links
57.9%
With #Tags
33.1%
With @Mentions
56.6%
With Emojis
121
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.8%
Weekday Posts
30.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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 645 retweets (20% 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 3,244 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 likely includes sports fans, media professionals, and individuals interested in Saudi football politics.
Average
Audience Quality
32.3%
Suspicion Index
41.3%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.7%
Empty Bio
39.8%
<10 Tweets
9.1%
Mass Following (>2K)
0.0%
New (<90 days)
69.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.9%
No URL
26.9%
<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.
33,342,469
Total Potential Reach
9
Median Follower Reach
61
75th Percentile Reach
4.1%
>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).
34.9%
Creators
17,472 accounts
25.2%
Consumers
12,623 accounts
39.8%
Dormant
19,905 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):
574
Verified Followers
0.57% of total
11,748
Protected Accounts
11.63% 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 |
|---|---|---|---|
| @Ahmed1Afify | 3,118,169 | Sports Analyst | Sports, Football, TV |
| @AlkaabiAs | 2,201,025 | Journalist | Media, Emirati, Muslim |
| @SinghLions | 1,335,179 | Restaurateur | Food, Travel, Influencer |
| @WaleedAlshmmari | 857,781 | Media Consultant | Poet, الوطن, مستشار |
| @Tmblryt | 822,919 | - | - |
| @DD__MM__1 | 787,518 | - | - |
| @Ali_Alalyani | 635,718 | TV Presenter | Citizen Empowerment, Humanitarian Group, Open Heart |
| @sm551 | 621,974 | Writer | Philosophy, Satire, Anger |
| @sm12000sm | 599,440 | Poet | Poetry, Saudi Arabia, Culture |
| @football_ll55 | 490,158 | Football Analyst | Football, Asia, Advertising |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,245
Followers With Bio
52,753
Followers Without Bio
47.77%
% With Bio
52.23%
% 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 3,244 analyzed165,626
Combined Engagement
0
Total Likes
165,626
Total Retweets
33,125
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @KingSalman: إن الاحتفاء بيوم العلم يأتي تأكيدًا على الاعتزاز بهويتنا الوطنية، وبرمزيته التاريخية ذات الدلالات العظيمة، والمضامين العميق…
RT @Alhilal_FC: 🎬 قصة دوري #الهلال الثامن عشر ..🏆 حكايا العودة من "السابع" إلى "الأول".. خبايا النهوض.. الغضب.. الكبرياء.. ودموع الفرح هُنا…
RT @TrollFootball: Referee: We play until Ronaldo's team wins https://t.co/N5XjINw6F5
RT @Alhilal_FC: 😎 عالمية عالمية عالمية عالمية يا هلاااال 🔝💙 https://t.co/KvGNHSOOhn
RT @marca: El rey 👑 de la Champions es @Cristiano... ¡pero ojo que su @AlNassrFC_EN no lo es en Asia 😲! El rey 👑 de las Champions asiátic…
Key Insights & Takeaways
His content often highlights dissatisfaction with local football authorities and their decisions. He uses strong language to express frustration with perceived incompetence and corruption. He frequently references specific incidents and calls for accountability within football institutions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,345,201
- + 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 @H_swilhy reveals an well-established Twitter presence with 1,345,201 followers. The account demonstrates a content-creator strategy, averaging 391.1 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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