KAZU(카즈)
Japanese Footballer at #BFC 🔴⚫️#23 @kleague
54,004
Followers
54,566
Following
475
Tweets
165.8
Avg Engagement
167
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kt10_official'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:2013-05-15
- Verification:No
- Location:South Korea
Data Summary
- Tweets Analyzed:277
- Avg Likes per Tweet:141.9
- Avg Retweets per Tweet:23.9
- Followers Analyzed:50,000
- Following Analyzed:10,000
Engagement Analysis
Based on 277 tweetsKT10_official's tweets receive a decent number of likes and retweets on average. The engagement is consistent, indicating a loyal and active fan base.
141.9
Avg Likes/Tweet
23.9
Avg Retweets/Tweet
39,302
Total Likes
6,619
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
19
Median Likes
4
Median Retweets
209
75th Percentile
2,099
Top Tweet
3.07
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
48.0%
Original
43.0%
Replies
6.9%
Retweets
2.2%
Quotes
0.0%
Threads
0.0%
With Media
58.8%
With Links
23.8%
With #Tags
61.7%
With @Mentions
64.6%
With Emojis
73
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.89
Reply/Original Ratio
0.32
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.3%
Weekday Posts
26.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 277 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 19 retweets (7% 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 277 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 appears to be football fans, especially those interested in Japanese and Korean football. The audience is likely to be engaged with sports-related content and personal stories.
Good
Audience Quality
11.0%
Suspicion Index
8.1%
Low-Quality %
397
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
14.2%
Empty Bio
3.7%
<10 Tweets
23.8%
Mass Following (>2K)
0.0%
New (<90 days)
12.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
70.5%
No URL
2.0%
<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.
289,118,603
Total Potential Reach
397
Median Follower Reach
1,247
75th Percentile Reach
29.3%
>1K followers
5.0%
>10K followers
1.3%
>50K followers
0.7%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
88.5%
Creators
44,239 accounts
7.8%
Consumers
3,917 accounts
3.7%
Dormant
1,844 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
211
Protected Accounts
2.11% 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 |
|---|---|---|---|
| @cz_binance | 8,543,768 | Cryptocurrency Trader | Crypto, Binance, Bitcoin |
| @ibrahimabdgawad | 2,287,636 | TV Presenter | Sports, Television, Social Media |
| @NikitaDragun | 1,990,867 | Influencer | beauty, fashion, LGBTQ+ |
| @KateMillerGems | 1,246,037 | Crypto Influencer | Crypto, Gaming, Marketing |
| @BaronDavis | 1,014,350 | Entrepreneur | Investor, Finesser, Creator |
| @belufrancese | 975,198 | Influencer | NFTs, Crypto, Bitcoin |
| @srinivasiyc | 818,632 | Politician | Politics, Youth, Volunteerism |
| @NOH8Campaign | 799,391 | Activism | equality, bullying, discrimination |
| @shamsofficial | 779,692 | Influencer | #معلية, #شمس, رايك_فيني_لايعنيني |
| @thaRadBrad | 585,623 | YouTuber | Gaming, Entertainment, Comedy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,614
Followers With Bio
1,386
Followers Without Bio
86.14%
% With Bio
13.86%
% 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 277 analyzed7,399
Combined Engagement
5,918
Total Likes
1,481
Total Retweets
1,480
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
November will be a rollercoaster? #Shib #SHIBARMY #Shibainu
Time for a new quest. This time, back to my home land of Asia. Thanks Bucheon FC for the warm welcome. 韓国Kリーグの富川FCに加入する事になりました。 17歳の頃に日本を出てヨーロッパで9年。 今回初めてアジアの地でプレーする事が出来楽しみです！ 부천을 위해 최선을 다하겠습니다💪 https://t.co/DmXIkdos2O
【お年玉企画🎅】 僕のFFヤロのユニフォームを抽選で1名様へプレゼント🎁⚽️ <<応募方法>> ①#高橋一輝 のTwitter&Instagram(@kt10_official)両アカウントをフォロー。 ②このツイートをRT。 <<締め切り>> 12月31日(火)23:59 <<当選者発表>> 1月1日(火) 12:00 ※本アカからメッセージ致します。 https://t.co/nky7As6gUB
先日の金浦でのアウェーゲーム。 軍隊応援。他の国では経験出来ない。笑 人数の割にかなりの迫力🫡🇰🇷 @kleague https://t.co/o99A90ioIL
Finally i made my debut last night! Not the result we wanted, but next game is is coming very soon👊 #SamoPirin ブルガリアリーグデビューしました！ 敗戦と残念な結果になりましたが次の試合に向けて切り替えて頑張ります。 https://t.co/nNVJlHv1Wj
Network & Following Analysis
Based on 10,000 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
22.6%
Verified Accounts
9.8%
High Authority (>50K)
100.0%
Dormant Accounts
8.4%
Low Quality
1,169
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
87.5%
Individuals
8,753 accounts
7.2%
Brands/Orgs
721 accounts
5.3%
Media/News
526 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @Cristiano Cristiano Ronaldo | 109,464,621 | Athlete | Football, Fitness, Fashion |
| @taylorswift13 Taylor Swift | 94,248,138 | Singer | Music, Happiness, Emotions |
| @narendramodi Narendra Modi | 91,376,922 | Politician | Politics, Leadership, Development |
| @YouTube YouTube | 79,171,984 | Content Creator | Entertainment, Technology, Social media |
| @PMOIndia PMO India | 53,950,521 | Government Official | Government, India, Leadership |
| @kanyewest ye | 31,750,915 | - | - |
| @M10 Mesut Özil | 26,370,986 | Footballer | Football, Gaming, Entrepreneurship |
| @Eminem Marshall Mathers | 22,198,835 | Rapper | rap, music, Detroit |
| @Tesla Tesla | 20,832,369 | Automotive/Tech | electric cars, batteries, solar |
| @AOC Alexandria Ocasio-Cortez | 13,293,790 | Politician | politics, social justice, equality |
Key Insights & Takeaways
KT10_official frequently shares updates about his football career and personal experiences. He often uses hashtags related to his team and personal journey, which helps in increasing visibility. His tweets reflect a mix of professional achievements and personal reflections, which resonates with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 54,004
- + 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 @kt10_official reveals an well-established Twitter presence with 54,004 followers. The account demonstrates a content-creator strategy, averaging 165.8 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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