Mohamed Almahmoudy
Presenter of Ontime Sports and Onsport fm 🇪🇬 Journalist of Gazzetta dello sport 🇮🇹
94,559
Followers
1,020
Following
8,357
Tweets
72.2
Avg Engagement
186
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @malmahmoudy'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: Mid-Tier (10K+)
- Account Age:2013-01-25
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,135
- Avg Likes per Tweet:49.2
- Avg Retweets per Tweet:23.0
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,135 tweetsHis tweets typically receive a high number of likes and a moderate number of retweets. The engagement is driven by his coverage of sports events and athlete highlights.
49.2
Avg Likes/Tweet
23.0
Avg Retweets/Tweet
154,261
Total Likes
72,110
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
21
75th Percentile
22,152
Top Tweet
0.76
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
18.4%
Original
28.9%
Replies
37.1%
Retweets
15.6%
Quotes
0.0%
Threads
0.0%
With Media
52.5%
With Links
3.4%
With #Tags
71.2%
With @Mentions
63.3%
With Emojis
103
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.57
Reply/Original Ratio
0.42
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.3%
Weekday Posts
29.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,135 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 1,162 retweets (37% 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 3,135 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 10,999 followersHis audience primarily consists of sports enthusiasts in Egypt and Tunisia. The content resonates well with fans of football and sports journalism.
Average
Audience Quality
28.0%
Suspicion Index
29.2%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.0%
Empty Bio
28.4%
<10 Tweets
12.6%
Mass Following (>2K)
0.0%
New (<90 days)
67.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.9%
No URL
17.5%
<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.
12,007,788
Total Potential Reach
27
Median Follower Reach
128
75th Percentile Reach
4.3%
>1K followers
0.7%
>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).
47.0%
Creators
5,173 accounts
24.5%
Consumers
2,700 accounts
28.4%
Dormant
3,126 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):
49
Verified Followers
0.45% of total
1,003
Protected Accounts
9.12% of total
4 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 |
|---|---|---|---|
| @Geddo | 2,643,058 | Footballer | Football, Egypt, AFCON |
| @Amer_Abdulla | 1,464,510 | Sports Commentator | Sports, Commentator, Media |
| @BilalAhmadAllam | 1,036,606 | Soccer Commentator | Soccer, Egypt, Commentator |
| @wassilaoulmi | 865,485 | Influencer | Religion, Protection, Strength |
| @daniarcucci | 578,586 | Sports Journalist | Football, Running, Marathons |
| @eljonesuk | 334,143 | Sports Broadcaster | Football, Betting, Podcasting |
| @BlazquezFont | 198,613 | Periodista Deportivo | FC Barcelona, Sports, Journalism |
| @a_ashkanani88 | 172,466 | Sports Analyst | Sports, Analysis, Television |
| @ITALY_00 | 167,188 | Footballer | Football, Writing, Family |
| @Santi_J_FM | 152,625 | Journalist | Football, Transfers, Journalism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,492
Followers With Bio
4,507
Followers Without Bio
59.02%
% With Bio
40.98%
% 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 3,135 analyzed61,140
Combined Engagement
17,873
Total Likes
43,267
Total Retweets
12,228
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
RT @chiellini: 🏆 It’s coming Rome!!! #Euro2020 https://t.co/tZBZtwWQOX
RT @SkySportsPL: 😡 | "I'm a #MUFC fan and I'm absolutely disgusted." 💥 | "They are an absolute joke." @GNev2 gives a brutally honest reaction to reports that England's biggest clubs are expected to be part of plans for a breakaway European Super League. https://t.co/VfJccHgybc
كسبنا الحرب يا ايتو ، ومن غير ما صلاح يشوط يا أبو بكر وهي دي الدراما يا خاليلوزيتش .. مبروووووووك يا مصر 🇪🇬
متعة الاستمتاع لصوت عصام الشوالي في مباريات تونس .. مبرووك لكل الأشقاء التوانسة 🇹🇳
السيناريوهات تختار عصام الشوالي ❤️
Key Insights & Takeaways
His content often celebrates national pride and sports victories, which resonates strongly with his audience. He frequently mentions and praises specific athletes, which helps in building a personal connection with followers. His tweets are rich in emotional and patriotic language, which enhances engagement and relatability.
Strengths
- + Established follower base of 94,559
- + 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 @malmahmoudy reveals an growing Twitter presence with 94,559 followers. The account demonstrates a conversation-first approach, averaging 72.2 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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