Seeyun
2x fncs winner | 39x tournament winner. | [email protected]
177,220
Followers
799
Following
6,778
Tweets
378.1
Avg Engagement
27
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Seeyun5'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:2019-06-29
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,221
- Avg Likes per Tweet:367.1
- Avg Retweets per Tweet:11.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,221 tweetsTheir tweets receive high engagement, with an average of 11k likes and 400 retweets per post, indicating a highly interactive fan base.
367.1
Avg Likes/Tweet
11.1
Avg Retweets/Tweet
1,182,392
Total Likes
35,628
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
87
Median Likes
1
Median Retweets
277
75th Percentile
22,559
Top Tweet
2.13
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
19.5%
Original
78.1%
Replies
0.8%
Retweets
1.6%
Quotes
0.0%
Threads
0.0%
With Media
12.5%
With Links
1.7%
With #Tags
84.3%
With @Mentions
18.4%
With Emojis
41
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.01
Reply/Original Ratio
1.89
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.8%
Weekday Posts
29.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,221 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 27 retweets (1% 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 3,221 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 followersThe audience primarily consists of esports fans and followers interested in competitive gaming and player interactions.
Average
Audience Quality
32.8%
Suspicion Index
38.1%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.5%
Empty Bio
51.0%
<10 Tweets
1.5%
Mass Following (>2K)
0.0%
New (<90 days)
76.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.8%
No URL
33.7%
<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.
34,286,345
Total Potential Reach
2
Median Follower Reach
14
75th Percentile Reach
1.1%
>1K followers
0.3%
>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).
23.1%
Creators
11,554 accounts
25.9%
Consumers
12,953 accounts
51.0%
Dormant
25,493 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):
87
Verified Followers
0.09% of total
7,498
Protected Accounts
7.42% of total
2 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 | 14,106,778 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,702 | - | - |
| @loud_voltan | 1,095,559 | Content Creator | youtuber, influencer, streamer |
| @TeamLiquid | 762,823 | Esports Team | Esports, Athletes, Winners |
| @njdmarlon | 718,839 | Comedian | humor, futebol, parcerias |
| @FaZeBizzle | 662,728 | - | - |
| @JeltyTV | 646,148 | Gamer | Fortnite, eSports, YouTube |
| @PROIBIDAODORIO2 | 553,397 | Content Creator | Music, Rio de Janeiro, YouTube |
| @Stretch | 463,596 | Professional Gamer | Fortnite, eSports, Champion |
| @brigasdiarias | 446,747 | Content Creator | fight videos, daily content, entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,211
Followers With Bio
41,783
Followers Without Bio
58.63%
% With Bio
41.37%
% 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 $15Viral Tweets
Top 5 by likes+RTs from 3,221 analyzed75,113
Combined Engagement
72,327
Total Likes
2,786
Total Retweets
15,023
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
Minha mãe me abraçou chorando, to muito feliz!! 😭
TOP 1 FNCS GRAND FINALS @k1nGOD @CaduFN1 eu não preciso nem falar nada!!! https://t.co/5a51zEAT02
Joined @TeamLiquid 💙
TOP 1 FNCS GRAND FINALS (75000$) @1KINGBR @CaduFN1 @gorilonfn OS MELHORES https://t.co/6v98XUWM0Y
peguei o melhor clip da minha vida https://t.co/KqwZjSgly9
Key Insights & Takeaways
Seeyun5's content often includes emotional moments and personal achievements, which resonate strongly with their audience. They frequently engage with their community by mentioning teammates and collaborators, fostering a sense of belonging. Their verified status is low, suggesting a focus on organic growth and authenticity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 177,220
- + 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 @Seeyun5 reveals an well-established Twitter presence with 177,220 followers. The account demonstrates a conversation-first approach, averaging 378.1 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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