KANA-BOON Gt 古賀 隼斗
堺親善アーティスト。 インスタハマってます。主にブレる写真をブレずに撮ってます。リンクからどうぞー！ 【ゲーム担当】KANA-BOONのギター、古賀 隼斗。 TV・ボードゲームや人狼、ガチ勢。 大好きてす。 ※リプライくれた方からフォロバしてます！ バンドアカウント@_kanaboon しらたき
157,001
Followers
12,191
Following
18,983
Tweets
810.4
Avg Engagement
1,998
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kanaboontuna'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:2010-11-24
- Verification:No
- Location:大阪 堺(2013,4/25→東京)
Data Summary
- Tweets Analyzed:3,227
- Avg Likes per Tweet:265.3
- Avg Retweets per Tweet:545.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,227 tweets平均每次推文获得约9,419个点赞和1,213次转发，互动表现良好，粉丝参与度高。
265.3
Avg Likes/Tweet
545.2
Avg Retweets/Tweet
856,066
Total Likes
1,759,244
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
46
Median Retweets
464
75th Percentile
595,692
Top Tweet
5.16
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
26.7%
Original
3.3%
Replies
56.0%
Retweets
13.9%
Quotes
0.0%
Threads
0.6%
With Media
57.3%
With Links
23.4%
With #Tags
59.6%
With @Mentions
29.7%
With Emojis
112
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
0.25
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.7%
Weekday Posts
29.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,227 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 1,808 retweets (56% 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 3,227 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 followers主要受众为音乐爱好者和游戏玩家，尤其是对Kana-Boon乐队及游戏文化感兴趣的人群。
Good
Audience Quality
18.4%
Suspicion Index
21.3%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.2%
Empty Bio
21.1%
<10 Tweets
6.4%
Mass Following (>2K)
0.0%
New (<90 days)
42.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.3%
No URL
13.5%
<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.
60,410,038
Total Potential Reach
35
Median Follower Reach
174
75th Percentile Reach
3.6%
>1K followers
0.7%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
58.6%
Creators
29,293 accounts
20.3%
Consumers
10,174 accounts
21.1%
Dormant
10,533 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):
121
Verified Followers
0.12% of total
32,363
Protected Accounts
32.04% of total
7 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 |
|---|---|---|---|
| @Starbucks_J | 7,035,726 | Coffee | coffee, community, customer service |
| @hikakin | 6,586,415 | YouTuber | YouTube, SNS, Collaboration |
| @motohage | 2,568,946 | Entertainer | Music, Life, Instagram |
| @MINAMI373HAMABE | 2,275,818 | Actress | Detective Conan, Kakegurui, Drama |
| @BeatsByAssassin | 2,261,365 | Multitalented | Actor, Director, Rapper |
| @uni_mafumafu | 2,169,380 | Singer | music, sleep, events |
| @ABEMA | 2,141,916 | Media | News, Drama, Anime |
| @enako_cos | 2,047,132 | Cosplayer | 田村ゆかり, FPS, 音ゲー |
| @kskgroup2017 | 1,776,367 | Entrepreneur | Angel investor, Entrepreneur, Soccer |
| @_amatsuki_ | 1,680,469 | Singer | Singing, Songwriting, Voice Acting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
71,399
Followers With Bio
29,598
Followers Without Bio
70.69%
% With Bio
29.31%
% 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 3,227 analyzed916,815
Combined Engagement
43,755
Total Likes
873,060
Total Retweets
183,363
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @yuukikikuchi: 「100日後に死ぬワニ」 100日目 https://t.co/r0Idn9I7mR
RT @yuukikikuchi: 「100日後に死ぬワニ」 99日目 https://t.co/wuvzqv7lgO
RT @rockinon_fes: 【ROCK IN JAPAN FES. 2021 開催中止のお知らせ】 ROCK IN JAPAN FES. 2021は誠に残念ながら、開催中止とさせていただきます。 開催を楽しみにしてくださっていた参加者の皆様には深くお詫び申し上げます。…
RT @_kanaboon: 【KANA-BOON 飯田祐馬（Ba）の無事が確認できましたことをご報告致します】 https://t.co/MVe7GxDa36
めしだが無事で本当によかった。。。 お騒がせしてすみませんでした。 めしだを待つ間、皆さんの言葉が励みになっていました。 本当にありがとうございます。
Key Insights & Takeaways
账号内容以个人生活和乐队活动为主，结合音乐与游戏元素，吸引特定兴趣群体。 粉丝互动积极，尤其是通过回复和关注建立联系。 内容风格亲切，注重与粉丝的沟通和感谢表达，增强粉丝黏性。
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 157,001
- + 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 @kanaboontuna reveals an well-established Twitter presence with 157,001 followers. The account demonstrates a content-creator strategy, averaging 810.4 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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