Mahmoud Noor - Mentor
Chief Mentor @swahilipothub Board Chair @KenyaRedCross MSA Branch, Innovation,Digital Transformation Advisor to @MombasaCountyKe Governor
12,988
Followers
1,001
Following
9,912
Tweets
935.2
Avg Engagement
25
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MahmoudNoor03'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:2009-06-17
- Verification:No
- Location:Mombasa, Kenya
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:17.5
- Avg Retweets per Tweet:917.6
- Followers Analyzed:10,569
Engagement Analysis
Based on 500 tweetsHis tweets receive moderate engagement with an average of 631 likes and 52 retweets. The content is often shared by followers interested in local and global initiatives.
17.5
Avg Likes/Tweet
917.6
Avg Retweets/Tweet
8,774
Total Likes
458,811
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
8
Median Retweets
44
75th Percentile
91,250
Top Tweet
72.0
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
14.0%
Original
3.0%
Replies
75.4%
Retweets
7.6%
Quotes
0.0%
Threads
1.0%
With Media
38.2%
With Links
19.0%
With #Tags
89.0%
With @Mentions
7.6%
With Emojis
129
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.21
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71.8%
Weekday Posts
28.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 377 retweets (75% 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 500 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 10,569 followersHis audience includes professionals and community leaders interested in innovation and development. They are likely engaged with social impact and digital transformation initiatives.
Average
Audience Quality
20.2%
Suspicion Index
19.6%
Low-Quality %
205
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.3%
Empty Bio
16.4%
<10 Tweets
30.8%
Mass Following (>2K)
0.0%
New (<90 days)
24.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.9%
No URL
8.9%
<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.
46,541,746
Total Potential Reach
205
Median Follower Reach
742
75th Percentile Reach
20.1%
>1K followers
4.5%
>10K followers
1.3%
>50K followers
0.7%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
59.0%
Creators
6,240 accounts
24.5%
Consumers
2,593 accounts
16.4%
Dormant
1,736 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):
139
Verified Followers
1.32% of total
499
Protected Accounts
4.72% of total
6 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 |
|---|---|---|---|
| @OleItumbi | 2,145,283 | Strategist | Politics, Communication, Farming |
| @RobertAlai | 1,850,276 | Politician | Tech, Politics, Auditing |
| @KenyaRedCross | 1,361,215 | Humanitarian | Emergency response, Humanitarian aid, Disaster relief |
| @SinghLions | 1,335,645 | Restaurateur | Food, Travel, Influencer |
| @jakecardiff401 | 1,192,221 | Musician | Music, Dreaming |
| @MariaSTsehai | 1,183,231 | Communications Expert | Communications, Producer, Director |
| @CSuiteConfess | 1,005,916 | Executive Coach | #MeToo, Executives, Navigating |
| @ShathaSa3eed | 1,003,010 | Educator | English, Training, Counseling |
| @TwitBakani | 961,817 | Entrepreneur | Entrepreneurship, Consulting, Management |
| @workwthecoach | 877,788 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,364
Followers With Bio
3,205
Followers Without Bio
69.68%
% With Bio
30.32%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 500 analyzed242,022
Combined Engagement
0
Total Likes
242,022
Total Retweets
48,404
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @FIFAWorldCup: The best #FIFAWorldCup Final ever.
RT @elonmusk: Twitter right now is 🔥🔥🔥🔥
RT @elonmusk: At World Cup right now https://t.co/CG7zMMxSjE
RT @elonmusk: 24,400 tweets per second for France’s goal, highest ever for World Cup!
RT @historyinmemes: How mangrove forests protect coastal cities https://t.co/JT4ptzVFh4
Key Insights & Takeaways
He frequently collaborates with local and international organizations to drive community projects. His tweets emphasize youth engagement and digital transformation in development. He uses Twitter to highlight leadership roles and community impact initiatives.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 12,988
- + 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 @MahmoudNoor03 reveals an well-established Twitter presence with 12,988 followers. The account demonstrates a content-creator strategy, averaging 935.2 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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