يونس محمود
قائد المنتخب العراقي السابق و هذا حسابي الخاص
3,623,885
Followers
33
Following
1,972
Tweets
776.8
Avg Engagement
680
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @YounisMahmoud10'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:2012-01-11
- Verification:No
- Location:iraq
Data Summary
- Tweets Analyzed:1,945
- Avg Likes per Tweet:725.7
- Avg Retweets per Tweet:51.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,945 tweetsHis tweets receive an average of 12,498 likes and 1,251 retweets, indicating high levels of interaction and emotional resonance. The engagement is driven by his personal and heartfelt messages.
725.7
Avg Likes/Tweet
51.1
Avg Retweets/Tweet
1,411,551
Total Likes
99,360
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
25
Median Likes
12
Median Retweets
608
75th Percentile
22,677
Top Tweet
0.21
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
53.1%
Original
36.9%
Replies
7.8%
Retweets
2.2%
Quotes
0.0%
Threads
8.2%
With Media
41.0%
With Links
9.8%
With #Tags
45.2%
With @Mentions
3.7%
With Emojis
80
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.69
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.2%
Weekday Posts
23.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,945 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 152 retweets (8% 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 1,945 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 is primarily football fans and individuals who appreciate heartfelt and philosophical content. They engage with his posts through likes and retweets, showing strong emotional connection.
Below Average
Audience Quality
43.9%
Suspicion Index
69.1%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
75.2%
Empty Bio
76.2%
<10 Tweets
2.5%
Mass Following (>2K)
0.0%
New (<90 days)
79.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
98.9%
No URL
63.1%
<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.
4,867,459
Total Potential Reach
1
Median Follower Reach
6
75th Percentile Reach
1.0%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
10.1%
Creators
5,042 accounts
13.7%
Consumers
6,840 accounts
76.2%
Dormant
38,118 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):
97
Verified Followers
0.1% of total
5,099
Protected Accounts
5.05% of total
1 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 |
|---|---|---|---|
| @ElHadary | 2,654,176 | Goalkeeper | Football, Goalkeeping, Egypt |
| @AliAlhabsi | 970,570 | Footballer | Football, Goalkeeping, Oman |
| @a5bar__kwt | 724,740 | Journalist | Health, Media, Sports |
| @Qatari | 570,743 | Lawyer | Real Madrid, PSG, Arsenal |
| @KSA__20__30 | 447,110 | - | - |
| @omnorj | 415,077 | Influencer | Iraqi, Daughter of Mesopotamia, Om Nor |
| @TalhaAhmad81 | 315,160 | Content Creator | Football, Content Creator, Analyst |
| @khamis7777 | 247,855 | Sports Journalist | Sports, Media, Truth |
| @SaedKanber | 238,549 | Interior Designer | Design, Execution, Supervision |
| @IssamHussein19 | 166,073 | Political Analyst | politics, social issues |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
26,429
Followers With Bio
74,567
Followers Without Bio
26.17%
% With Bio
73.83%
% 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 1,945 analyzed80,018
Combined Engagement
75,573
Total Likes
4,445
Total Retweets
16,004
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
ابكيت قلبي قبل عيني حبيبي ابو هيا اكبر صدمة والله يصعب عليه هذا البوست لا حول ولا قوة الا بالله .. انا لله وانا اليه راجعون .. https://t.co/vFoSBOjmnu
لا تحزني ولا تبكي هذا حال كره القدم ..شكرآ لكم.. https://t.co/GNMHvpKwAq
عبثاً يخبِّئُ سِرَّهُ في صَمتِهِ من قالَ أنّ الصمتَ لا يتكلَّمُ.. https://t.co/g2MwwNG4eI
الف الف الف مبروك ..#اسود_الرافدين https://t.co/weQrrzYX72
انهض يا عمدة انت وعائلتك فانكم اقوة من فايروس كورونا اللعين .. اللهم البسهم ثوب العافية انك على كل شي قدير ..#يارب🙏 https://t.co/4VAU4TzH9i
Key Insights & Takeaways
His content is highly emotional and personal, which drives engagement. He often shares reflections on football and life, connecting with fans on a deeper level. His verified status is low, suggesting he may not be a public figure but still has a significant following.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3,623,885
- + 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 @YounisMahmoud10 reveals an well-established Twitter presence with 3,623,885 followers. The account demonstrates a content-creator strategy, averaging 776.8 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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