Mani
Tech Lover, Media Enthusiast, Founder & Chairman of the board @Digiato & @Vigiatonet
16,306
Followers
680
Following
52,768
Tweets
222.4
Avg Engagement
73
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @manigh'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:2008-08-13
- Verification:No
- Location:iran
Data Summary
- Tweets Analyzed:3,179
- Avg Likes per Tweet:20.9
- Avg Retweets per Tweet:201.5
- Followers Analyzed:16,038
Engagement Analysis
Based on 3,179 tweetsManigh's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His content often sparks discussion, particularly around sensitive and controversial topics.
20.9
Avg Likes/Tweet
201.5
Avg Retweets/Tweet
66,522
Total Likes
640,643
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
17
75th Percentile
374,492
Top Tweet
13.64
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
28.3%
Original
55.6%
Replies
8.5%
Retweets
7.6%
Quotes
0.0%
Threads
0.0%
With Media
30.7%
With Links
7.4%
With #Tags
73.0%
With @Mentions
27.1%
With Emojis
85
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.96
Reply/Original Ratio
0.9
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.8%
Weekday Posts
32.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,179 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 269 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 3,179 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 16,038 followersHis audience appears to be interested in technology, media, and social issues, with a focus on Iran and related topics. The engagement suggests a community that values both informative and opinionated content.
Average
Audience Quality
21.7%
Suspicion Index
32.8%
Low-Quality %
50
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.9%
Empty Bio
30.8%
<10 Tweets
7.3%
Mass Following (>2K)
0.0%
New (<90 days)
35.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.5%
No URL
20.6%
<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.
27,086,632
Total Potential Reach
50
Median Follower Reach
216
75th Percentile Reach
6.7%
>1K followers
0.6%
>10K followers
0.1%
>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).
48.0%
Creators
7,695 accounts
21.3%
Consumers
3,409 accounts
30.8%
Dormant
4,934 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):
34
Verified Followers
0.21% of total
1,725
Protected Accounts
10.76% of total
8 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 | 14,106,695 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,461 | - | - |
| @Vahid | 495,807 | Social Media Analyst | News, Media, Social Media |
| @jstorres | 401,181 | Banker | Author, Soccer, Blockchain |
| @HerbertRSim | 251,075 | Investor | Economics, GeoPolitics, AI |
| @nima | 226,519 | Presenter | Tech, Film, Presenter |
| @Mr_Mike_Clarke | 168,084 | - | - |
| @jadi | 158,097 | متعدد | برنامه نویس, مدیر سیستم, آموزشگر |
| @NarimanGharib | 123,165 | Activist | Activism, Research, Internet Freedom |
| @Dr_Rafizadeh | 122,393 | Political Analyst | Politics, Business, Science |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,833
Followers With Bio
7,205
Followers Without Bio
55.08%
% With Bio
44.92%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,179 analyzed598,490
Combined Engagement
0
Total Likes
598,490
Total Retweets
119,698
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @LVaughanJones: When your drone runs out of battery over a lake, timing is everything... https://t.co/btDekWXpoV
RT @buymepizzaaa: The worse sound in the world https://t.co/1LNtcDayqY
RT @elonmusk: Those who want power are the ones who least deserve it
RT @p_millerd: This maps well to my life https://t.co/PjbFrBUBDL
RT @sahar_sobhani: -کجا میریم؟ +پیش خدای رنگین کمان #کیان_پیرفلک https://t.co/PbsMunJHvl
Key Insights & Takeaways
His tweets often reflect personal and political views, especially regarding social issues in Iran. He frequently uses hashtags to highlight specific causes or individuals, such as #MahsaAmini. His content is a mix of personal expression and commentary on broader societal and political matters.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 16,306
- + 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 @manigh reveals an well-established Twitter presence with 16,306 followers. The account demonstrates a conversation-first approach, averaging 222.4 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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