محمد عواد
كاتب وصحفي رياضي - صاحب سلسلة من الكتب في الرياضة وتطوير الذات
1,228,921
Followers
2,027
Following
73,975
Tweets
1,402.2
Avg Engagement
2,319
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mohammedawaad'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:2011-07-22
- Verification:No
- Location:UAE
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:1,349.1
- Avg Retweets per Tweet:53.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,246 tweetsHis tweets receive a high number of likes and retweets on average, indicating strong audience interaction. The content is well-received and often shared, suggesting a loyal and active following.
1,349.1
Avg Likes/Tweet
53.1
Avg Retweets/Tweet
4,379,288
Total Likes
172,213
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1,062
Median Likes
26
Median Retweets
1,843
75th Percentile
22,679
Top Tweet
1.14
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
91.0%
Original
4.5%
Replies
3.5%
Retweets
1.0%
Quotes
0.0%
Threads
0.0%
With Media
89.3%
With Links
5.2%
With #Tags
7.8%
With @Mentions
9.3%
With Emojis
145
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.3%
Weekday Posts
31.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 113 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 3,246 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 interested in sports and media analysis, with a focus on in-depth discussions and thought-provoking content. The audience appears to be engaged and interested in both sports and personal growth topics.
Below Average
Audience Quality
39.6%
Suspicion Index
56.9%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
66.6%
Empty Bio
61.8%
<10 Tweets
3.0%
Mass Following (>2K)
0.0%
New (<90 days)
80.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.4%
No URL
47.2%
<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.
8,395,680
Total Potential Reach
2
Median Follower Reach
16
75th Percentile Reach
1.3%
>1K followers
0.2%
>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).
18.7%
Creators
9,338 accounts
19.5%
Consumers
9,774 accounts
61.8%
Dormant
30,888 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):
239
Verified Followers
0.24% of total
9,914
Protected Accounts
9.82% 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 |
|---|---|---|---|
| @IIAdeb | 1,216,061 | Writer | Writing, Philosophy, Support |
| @IamMzilikazi | 544,620 | Musician | Pan-African music, Album, Rise |
| @FadelSoliman | 499,022 | Islamic Scholar | Islam, Lecturing, Filmmaking |
| @_rain696 | 333,986 | - | - |
| @R4MiY | 234,635 | Influencer | Faith, Gratitude, Advertising |
| @9l9l9l00 | 215,974 | - | - |
| @Az53466 | 189,862 | Writer | Coffee, Deep breaths |
| @s_mm_f | 169,921 | Philosopher | Technology, Philosophy, Concentration |
| @MSheliah | 164,720 | Footballer | Football, Instagram, Snapchat |
| @Badezr | 160,092 | Nature Enthusiast | Biophile, Selenophile, Pluviophile |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
35,428
Followers With Bio
65,571
Followers Without Bio
35.08%
% With Bio
64.92%
% 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 3,246 analyzed86,691
Combined Engagement
78,013
Total Likes
8,678
Total Retweets
17,338
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
جانلويجي مانويل أوليفر إيكر ليف العويس https://t.co/0e4UdvBWjc
أهم سؤال يطرحه الإعلام عن قضية هذا "الشيف العالمي" .. كيف دخل أرض الملعب وحصل على حقوق تنقل كاملة فيه؟ https://t.co/hkAFf7oUGK
لاعبو كرة القدم في العالم ينتقلون بحثاً عن الألقاب.. إلا لاعب ريال مدريد .. ينتقل لأنه شبع منها في مكان واحد، وأصبح يحتاج لتحدٍ جديد! https://t.co/PFFiOSbO1t
فكرة ارتداء ميسي "البشت" عظيمة .. هذه ثقافتنا ونفخر فيها 👏👏 https://t.co/exS4GcKhpu
الموضوع تعدى شخصية البطل .. الموضوع صار فيه شخصية العفاريت https://t.co/CpqxEh5Zee
Key Insights & Takeaways
His content often raises critical questions about media and sports ethics He frequently shares in-depth analysis and unique perspectives on sports events and figures He blends sports journalism with themes of personal development and self-improvement
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,228,921
- + 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 @mohammedawaad reveals an exceptionally influential Twitter presence with 1,228,921 followers. The account demonstrates a content-creator strategy, averaging 1,402.2 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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