反田恭平 Kyohei Sorita
18th Chopin International Piano Competition 🥈🏆 The official Twitter of Japanese pianist. CEO of @JNO_2021 ,@NOVA_Record / #Leica /オンライン・サロン『 Solistiade』3万人突破✨
91,448
Followers
416
Following
8,855
Tweets
612.7
Avg Engagement
470
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kyohei0901'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:2012-11-11
- Verification:No
- Location:Japan, Russia, Poland, Vienna
Data Summary
- Tweets Analyzed:3,194
- Avg Likes per Tweet:434.1
- Avg Retweets per Tweet:178.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,194 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. He shares both personal reflections and professional updates, which resonate well with his followers.
434.1
Avg Likes/Tweet
178.6
Avg Retweets/Tweet
1,386,591
Total Likes
570,369
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
24
Median Retweets
532
75th Percentile
76,086
Top Tweet
6.7
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
24.2%
Original
7.6%
Replies
55.9%
Retweets
12.3%
Quotes
0.0%
Threads
0.3%
With Media
88.0%
With Links
30.9%
With #Tags
68.8%
With @Mentions
33.2%
With Emojis
124
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.31
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.6%
Weekday Posts
29.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,194 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 1,787 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 3,194 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 followersHis followers include music enthusiasts, fellow musicians, and fans of classical piano. They are likely interested in his performances, career milestones, and personal insights.
Average
Audience Quality
23.9%
Suspicion Index
34.0%
Low-Quality %
19
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.0%
Empty Bio
33.3%
<10 Tweets
6.3%
Mass Following (>2K)
0.0%
New (<90 days)
46.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.7%
No URL
25.1%
<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.
3,330,791
Total Potential Reach
19
Median Follower Reach
129
75th Percentile Reach
4.3%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
49.5%
Creators
4,952 accounts
17.2%
Consumers
1,721 accounts
33.3%
Dormant
3,327 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):
45
Verified Followers
0.45% of total
2,105
Protected Accounts
21.05% of total
5 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 |
|---|---|---|---|
| @Suo_Sango | 376,219 | Content Creator | TRPG, Cute things, Nijisanji |
| @m_okuma0831 | 145,132 | Illustrator | Arknight, XenonZard, God Eater |
| @lkQDSNT1BhrOCHd | 103,597 | - | - |
| @mietczynski | 97,625 | Politician | poland, europe, security |
| @kamechan7407 | 92,945 | Mascot | Drums, Mascot, Cats |
| @AtsukoHigashino | 92,848 | - | - |
| @HTB_kouhou | 84,558 | TV Personality | HTB, Hokkaido TV, YouTube |
| @SweetsWahaha | 53,559 | Fashion Blogger | Arashi, Johnny's, Fashion |
| @luckytsuiteru | 41,227 | Singer | Singing, Dieting, Politics |
| @110KAN011 | 32,055 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,705
Followers With Bio
4,295
Followers Without Bio
57.05%
% With Bio
42.95%
% 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 3,194 analyzed289,647
Combined Engagement
64,491
Total Likes
225,156
Total Retweets
57,929
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @jfa_samuraiblue: ⚽️試合終了⚽️ 🏆FIFA #ワールドカップ 第3節 🇯🇵#SAMURAIBLUE 2-1 スペイン代表🇪🇸 ⌚️4:00KO(🇯🇵) 📺#フジテレビ/#ABEMA 🔗https://t.co/o9AYPNBq2s #jfa #daihyo #サッカー日本代表 #つな超え #新しい景色を2022 #worldcup #FIFAWorldCup https://t.co/4Mwbu5ndk9
ご報告です。 https://t.co/W0Xu81Ht1J
RT @nbnbnbk117: 朝からこの動画見てずっと笑ってる なんでそうなるのw https://t.co/nyiQ8UyzRl
RT @nino0120444: 「のだめカンタービレ」 Caesurae(チェズーラ) 声:関智一 川澄綾子 https://t.co/Cc6i5FEkWJ
RT @Campaign_Otaku: これは目を疑った。ロシアでは悲しんでいる人間を熊が慰めてくれるというのか? https://t.co/GXifpPMedA
Key Insights & Takeaways
He frequently shares personal reflections on his musical experiences and emotions. He highlights his achievements and gratitude towards supporters and collaborators. He promotes his professional ventures and online community, showing a blend of personal and career-oriented content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 91,448
- + 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 @kyohei0901 reveals an well-established Twitter presence with 91,448 followers. The account demonstrates a content-creator strategy, averaging 612.7 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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