松尾 貴史
Youtube「デペイズマンショウ」 https://www.youtube.com/channel/UCfik7ftdOEddVrgNWupinCg 毎日新聞「ちょっと違和感」単行本「違和感ワンダーランド」日本文藝家協会員。10/6公開の映画「白鍵と黒鍵の間に」（監督・冨永昌敬、原作・南博、主演・池松壮亮）熊野会長役
214,062
Followers
7,712
Following
132,447
Tweets
1,238.9
Avg Engagement
6,983
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Kitsch_Matsuo'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:2009-08-11
- Verification:No
- Location:東京都世田谷区北沢 2-33-6
Data Summary
- Tweets Analyzed:3,220
- Avg Likes per Tweet:49.2
- Avg Retweets per Tweet:1,189.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,220 tweets其推文平均获得4,327次点赞和1,325次转发，显示出较高的互动率。内容多引发讨论，尤其在政治和社会议题上。
49.2
Avg Likes/Tweet
1,189.7
Avg Retweets/Tweet
158,550
Total Likes
3,830,813
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
302
Median Retweets
1,369
75th Percentile
45,553
Top Tweet
5.79
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
4.8%
Original
0.6%
Replies
90.2%
Retweets
4.4%
Quotes
0.0%
Threads
0.1%
With Media
41.5%
With Links
26.5%
With #Tags
91.2%
With @Mentions
9.9%
With Emojis
116
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
0.05
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.1%
Weekday Posts
31.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,220 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 2,905 retweets (90% 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 3,220 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主要受众为对政治和社会议题感兴趣的日本民众，以及文学爱好者。同时，也有对文化评论和电影感兴趣的群体。
Good
Audience Quality
19.9%
Suspicion Index
25.5%
Low-Quality %
47
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.5%
Empty Bio
20.0%
<10 Tweets
11.4%
Mass Following (>2K)
0.0%
New (<90 days)
39.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.9%
No URL
13.6%
<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.
30,624,099
Total Potential Reach
47
Median Follower Reach
235
75th Percentile Reach
8.0%
>1K followers
0.7%
>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).
65.3%
Creators
32,639 accounts
14.8%
Consumers
7,380 accounts
20.0%
Dormant
9,981 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):
336
Verified Followers
0.33% of total
9,374
Protected Accounts
9.28% 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 |
|---|---|---|---|
| @hikakin | 6,507,587 | YouTuber | YouTube, SNS, Collaboration |
| @Karabo_Mokgoko | 2,349,270 | Digital Entrepreneur | Digital Entrepreneur, Trendsetter, Globetrotter |
| @murotsuyoshi | 2,046,046 | - | - |
| @oricon | 1,313,638 | Entertainment | Entertainment, Music, Movies |
| @atabenli | 1,280,638 | - | - |
| @NadirOfc | 1,199,909 | - | - |
| @udon_lov | 1,036,935 | Food Blogger | Udon, Low Activity, Follow for Happiness |
| @dakarakoso | 893,158 | Poet | poetry, traveling, gaming |
| @eigacom | 815,968 | Movie Blogger | Movies, News, Fun facts |
| @takafumiaoki000 | 662,164 | Food Blogger | Gourmet, Food Blogger, Instagramer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
66,134
Followers With Bio
34,864
Followers Without Bio
65.48%
% With Bio
34.52%
% 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 full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3,220 analyzed192,300
Combined Engagement
0
Total Likes
192,300
Total Retweets
38,460
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @ringoro119: 子守していた柴犬が、弟のような存在になっていくまで https://t.co/teHfrb1jUb
RT @izumi_akashi: 日本の『国民負担率』は“47.5%”。国民は諸外国並みにすでに十分過ぎるほど負担をしている。にもかかわらず、子育て支援も介護負担の軽減も一向に進まない。私たちのお金は、一体どこに消えているのだろう。江戸時代よりひどい時代に、私たちは生きている…
RT @izumi_akashi: 総理就任以来、国民のためになること（こども予算倍増や国民負担軽減など）は、ほとんど何も「決断」せず「実行」もしてこなかったのに、国民に負担を強いる『増税』だけは、こんなにも直ぐに「決断」し「実行」もできるとは・・・。支持率が3割もあるのが不思…
RT @buitengebieden: Sometimes you just need a hug.. 😊 https://t.co/TChUMEF2oL
RT @STOPINVOICE: あまりにしれっと、わずか数時間後に、インボイス制度の改正法案が衆議院で可決されようとしています。 時限的に少しだけ納税額をまけてやる。 そんな改正法案に、インボイス制度に、改めて反対の意思を示すツイデモを今から本日いっぱい行います✊ ＃勝…
Key Insights & Takeaways
他经常批评日本政治体制的不作为和资源分配不均 关注社会问题，如少子化和高龄化，并提出尖锐批评 强调个人品格与社会政策之间的关系，呼吁更公平的资源分配
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 214,062
- + 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 @Kitsch_Matsuo reveals an exceptionally influential Twitter presence with 214,062 followers. The account demonstrates a content-creator strategy, averaging 1,238.9 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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