Mohamed Azmin Ali 🇲🇾
Husband to @shamshida, father & atok. https://www.facebook.com/unsupportedbrowser
628,735
Followers
247
Following
25,448
Tweets
16.9
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AzminAli'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: Macro Influencer (100K+)
- Account Age:2009-08-16
- Verification:No
- Location:Selangor, Malaysia
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:9.2
- Avg Retweets per Tweet:7.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsHis tweets receive an average of 491 likes and 86 retweets, indicating a strong level of interaction. The engagement is largely driven by political announcements and community recognition.
9.2
Avg Likes/Tweet
7.7
Avg Retweets/Tweet
29,847
Total Likes
24,979
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
8
75th Percentile
5,093
Top Tweet
0.03
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
23.1%
Original
72.5%
Replies
3.6%
Retweets
0.8%
Quotes
0.0%
Threads
0.1%
With Media
34.5%
With Links
3.9%
With #Tags
19.4%
With @Mentions
2.3%
With Emojis
193
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.14
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.4%
Weekday Posts
22.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 117 retweets (4% 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 3,250 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 primarily consists of Malaysian voters and political supporters. The content is tailored to engage with local communities and political allies.
Below Average
Audience Quality
38.0%
Suspicion Index
48.1%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.6%
Empty Bio
63.9%
<10 Tweets
2.0%
Mass Following (>2K)
0.0%
New (<90 days)
83.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.6%
No URL
48.5%
<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.
23,296,853
Total Potential Reach
2
Median Follower Reach
9
75th Percentile Reach
0.7%
>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).
16.0%
Creators
8,018 accounts
20.0%
Consumers
10,012 accounts
63.9%
Dormant
31,970 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):
99
Verified Followers
0.1% of total
12,389
Protected Accounts
12.39% 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 |
|---|---|---|---|
| @JohnCena | 14,105,396 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Yusrilihza_Mhd | 2,240,243 | Lawyer | Hukum, Politik, Pendidikan |
| @hotfm976 | 1,823,913 | Radio Hosts | Music, Entertainment, Radio |
| @SinghLions | 1,335,047 | Restaurateur | Food, Travel, Influencer |
| @MuhyiddinYassin | 1,291,077 | Politician | Politics, Leadership, Malaysia |
| @BuletinTV3 | 1,108,189 | News Anchor | - |
| @UMonline | 815,436 | News Outlet | News, Malaysia, Updates |
| @DrZahidHamidi | 570,436 | Politician | UMNO, Bagan Datuk, Perjuangan |
| @IamMzilikazi | 546,102 | Musician | Pan-African music, Album, Rise |
| @AydaNews | 334,299 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,984
Followers With Bio
43,016
Followers Without Bio
56.98%
% With Bio
43.02%
% 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 3,250 analyzed16,484
Combined Engagement
643
Total Likes
15,841
Total Retweets
3,297
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @abdulhadiawang: Kami dah cukup. Kami dah hantar. Tunggu untuk diundang.
RT @bernamadotcom: GPS setuju bergabung dengan BN,PN dan GRS untuk membentuk kerajaan Persekutuan - Abang Johari https://t.co/4nZUDYdRmt
RT @MuhyiddinYassin: Kenyataan Media Pengerusi Perikatan Nasional https://t.co/1tcyjGwmkB
RT @abdulhadiawang: Padahal keputusannya sudah ada kemenangan pada satu pihak, ada mata dan golnya, tiba-tiba pengadilnya menambah masa jug…
Terima kasih kepada pengundi Gombak. Saya telah berusaha sedaya upaya saya. Saya akan terus berbakti kepada rakyat Gombak. Tahniah kepada @AmirudinShari dan selamat berkhidmat.
Key Insights & Takeaways
His tweets often highlight political achievements and gratitude towards voters. He frequently acknowledges supporters and community members. He shares updates on political processes and upcoming events.
Strengths
- + Established follower base of 628,735
- + 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 @AzminAli reveals an growing Twitter presence with 628,735 followers. The account demonstrates a conversation-first approach, averaging 16.9 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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