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YouTuber , Illustrator , Writer, for work : [email protected]
58,083
Followers
780
Following
10,137
Tweets
7,792.2
Avg Engagement
24
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Atompakon'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:2013-12-27
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,198
- Avg Likes per Tweet:272.3
- Avg Retweets per Tweet:7,519.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,198 tweetsAtompakon's tweets receive a high number of likes and retweets, indicating strong audience interaction. Their content is both personal and professional, which likely contributes to their engagement rates.
272.3
Avg Likes/Tweet
7,519.9
Avg Retweets/Tweet
870,747
Total Likes
24,048,593
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
37
Median Likes
117
Median Retweets
2,115
75th Percentile
550,308
Top Tweet
134.16
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
48.6%
Original
12.6%
Replies
24.0%
Retweets
14.7%
Quotes
0.0%
Threads
0.2%
With Media
50.4%
With Links
12.9%
With #Tags
32.2%
With @Mentions
11.3%
With Emojis
87
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.26
Reply/Original Ratio
0.61
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.3%
Weekday Posts
30.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,198 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 769 retweets (24% 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 3,198 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 followersTheir audience appears to be interested in creative fields such as illustration, writing, and digital art. They also seem to resonate with individuals facing challenges and seeking motivation or connection.
Good
Audience Quality
18.1%
Suspicion Index
16.1%
Low-Quality %
19
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.2%
Empty Bio
6.3%
<10 Tweets
5.1%
Mass Following (>2K)
0.0%
New (<90 days)
62.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.3%
No URL
4.1%
<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.
28,828,330
Total Potential Reach
19
Median Follower Reach
74
75th Percentile Reach
1.9%
>1K followers
0.3%
>10K followers
0.1%
>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).
87.0%
Creators
43,480 accounts
6.8%
Consumers
3,389 accounts
6.3%
Dormant
3,131 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):
56
Verified Followers
0.1% of total
14,212
Protected Accounts
26.05% of total
5 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 | 14,108,694 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SinghLions | 1,336,124 | Restaurateur | Food, Travel, Influencer |
| @LoukgolfLG | 1,045,469 | Student | English, Travel, Education |
| @MattWallace888 | 952,549 | YouTuber | Crypto, Dogecoin, YouTube |
| @impeachii | 673,968 | Ordinary | Activism, Human Rights, Equality |
| @Basniixz | 578,322 | Writer | food, writing, movies |
| @volleyppk | 334,350 | Influencer | Love Sick, Entertainment, Fashion |
| @nobluk | 311,507 | Influencer | Fashion, Lifestyle, Beauty |
| @JakkritTomTom | 290,681 | Media Personality | Books, Travel, Podcasting |
| @robtswthrayguns | 259,830 | Inventor | synthwave, NFT, NSFW |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38,862
Followers With Bio
15,687
Followers Without Bio
71.24%
% With Bio
28.76%
% 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 3,198 analyzed1,120,984
Combined Engagement
0
Total Likes
1,120,984
Total Retweets
224,197
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @Twitter: hello literally everyone
RT @Artbaesel: Happy chemicals and how to activate them. https://t.co/CJe23YaIuC
RT @qode_: ความอุบาทของสังคมไทยในภาพเดียว https://t.co/5EhkY27wIG
RT @cvittv: IT’S OCTOBER BITCHES https://t.co/gGAjWBzhP1
RT @flufyr: มึงเห็นไหม ม็อบที่ไม่มีตำรวจมันไม่มีคนบาดเจ็บเลย มึงเห็นไหม
Key Insights & Takeaways
Their top tweets often include personal reflections and motivational messages, which resonate with their audience. They frequently share resources like Procreate brushes, indicating a focus on supporting their community with practical tools. Their content mix of personal and professional themes suggests a desire to build a loyal and engaged following.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 58,083
- + 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 @Atompakon reveals an exceptionally influential Twitter presence with 58,083 followers. The account demonstrates a content-creator strategy, averaging 7,792.2 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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