kenzi
korea media reporter and photographer. Business e-mail : [email protected]
59,681
Followers
2,137
Following
85,927
Tweets
88.8
Avg Engagement
320
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kenzi131'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:2011-06-10
- Verification:No
- Location:seoul, korea
Data Summary
- Tweets Analyzed:3,238
- Avg Likes per Tweet:71.6
- Avg Retweets per Tweet:17.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,238 tweetsThe account maintains a high average engagement rate with likes and retweets, indicating a dedicated and active audience. The content is well-received and shared within the esports community.
71.6
Avg Likes/Tweet
17.3
Avg Retweets/Tweet
231,680
Total Likes
55,935
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
20
Median Likes
3
Median Retweets
71
75th Percentile
2,721
Top Tweet
1.49
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
81.0%
Original
15.2%
Replies
0.5%
Retweets
3.3%
Quotes
0.0%
Threads
0.8%
With Media
77.8%
With Links
68.6%
With #Tags
85.1%
With @Mentions
4.9%
With Emojis
73
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.19
Reply/Original Ratio
6.75
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.8%
Weekday Posts
31.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,238 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 16 retweets (0% 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 3,238 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 10,000 followersThe audience is primarily interested in esports, especially League of Legends, and likely includes fans, analysts, and media professionals. They are engaged with content that highlights team updates and major events.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.8%
No URL
100.0%
<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.
19,518,963
Total Potential Reach
8
Median Follower Reach
57
75th Percentile Reach
2.9%
>1K followers
0.8%
>10K followers
0.2%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,425
Protected Accounts
14.25% of total
3 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 | 14,090,646 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LeBronJames | 927,133 | - | - |
| @Caedrel | 273,125 | Caster | Illegal gameplay, Freelancer, Casting |
| @smthlikeyou11 | 180,368 | Gamer | Gaming, Team, Russia |
| @topu2782 | 168,376 | Content creator | FANBOX, patreon, Gumroad |
| @Zven | 150,502 | Esports Player | League of Legends, AD Carry, Cloud9 |
| @LodaBerg | 139,570 | Esports Professional | Dota 2, Esports, CEO |
| @hangzhoufeel | 134,348 | City Promotion | Travel, Culture, Tourism |
| @VALORANT4JP | 132,112 | Gaming News | VALORANT, News, Information |
| @kiittwy | 130,980 | Esports Commentator | League of Legends, Colour Caster, Analyst |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,831
Followers With Bio
4,169
Followers Without Bio
58.31%
% With Bio
41.69%
% 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 3,238 analyzed11,339
Combined Engagement
9,542
Total Likes
1,797
Total Retweets
2,268
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
.@T1LoL https://t.co/5TvS98euKT
T1`s MSI Uniform? ㅇㅎ... #LoL #MSI2023 .@T1LoL https://t.co/0A3FiTxWOG
Official) Deft and Canna joins DWG KIA #LoL #LCK @LCK .@DWGKIA https://t.co/EwqsRrvKNF
T1 2023 New Uniform with Goal Studio #LoL #LCK @LCK .@T1LoL https://t.co/3whuavBSZW
가슴에 장미를 단 분도 따봉을 하셨습니다... #LoL #LCK @LCK .@T1LoL @faker https://t.co/siRQFoOWyO
Key Insights & Takeaways
The account frequently shares updates about top League of Legends teams and events, such as MSI and LCK. It uses relevant hashtags and mentions to increase visibility and engagement. The content is tailored to a niche audience interested in Korean esports.
Strengths
- + Established follower base of 59,681
- + 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 @kenzi131 reveals an growing Twitter presence with 59,681 followers. The account demonstrates a content-creator strategy, averaging 88.8 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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