中嶋イッキュウ
85,313
Followers
821
Following
8,141
Tweets
285.5
Avg Engagement
801
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @oyasumi_ikkyu'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:2010-03-15
- Verification:No
- Location:JP
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:148.2
- Avg Retweets per Tweet:137.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,247 tweetsThe account has high average likes and moderate retweets, suggesting that their content is well-received but not highly shareable. Engagement seems to be driven by personal and musical content rather than viral trends.
148.2
Avg Likes/Tweet
137.3
Avg Retweets/Tweet
481,110
Total Likes
445,955
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
7
Median Retweets
144
75th Percentile
107,926
Top Tweet
3.35
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
24.1%
Original
9.6%
Replies
47.6%
Retweets
18.8%
Quotes
0.0%
Threads
0.5%
With Media
80.3%
With Links
30.8%
With #Tags
56.9%
With @Mentions
42.6%
With Emojis
110
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.4
Reply/Original Ratio
0.4
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.5%
Weekday Posts
29.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 1,544 retweets (48% 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 3,247 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 appears to be fans of Japanese music, especially those interested in bands and artists like tricotFude, YUKI, and others. They are likely young adults who enjoy both music and social media interaction.
Good
Audience Quality
19.1%
Suspicion Index
20.8%
Low-Quality %
49
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.5%
Empty Bio
16.6%
<10 Tweets
10.8%
Mass Following (>2K)
0.0%
New (<90 days)
44.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.8%
No URL
11.1%
<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.
8,329,034
Total Potential Reach
49
Median Follower Reach
217
75th Percentile Reach
5.6%
>1K followers
0.8%
>10K followers
0.2%
>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).
67.2%
Creators
6,723 accounts
16.2%
Consumers
1,619 accounts
16.6%
Dormant
1,658 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):
52
Verified Followers
0.52% of total
2,160
Protected Accounts
21.6% 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 |
|---|---|---|---|
| @BTR_anime | 591,601 | Animator | Music, Anime, Manga |
| @gizmodojapan | 584,705 | Tech Blogger | Tech, Gadgets, Innovation |
| @RENGODHIRAMOTO | 345,315 | - | - |
| @hamazi__ | 328,046 | Mangaka | Music, Anime, Band |
| @djmatsunaga | 299,872 | DJ | Music, Band, Writing |
| @marika_0222 | 292,013 | Voice Actress | Voice acting, Music, Tourism |
| @tyougakusei | 237,255 | Influencer | Art, Work, Social Media |
| @douhwe | 191,650 | YouTuber | YouTube, Instagram, staff |
| @ABEMATIMES | 184,918 | News Outlet | News, Entertainment, Giveaways |
| @cerisier_tokyo | 180,222 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,948
Followers With Bio
3,052
Followers Without Bio
69.48%
% With Bio
30.52%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,247 analyzed316,063
Combined Engagement
97,167
Total Likes
218,896
Total Retweets
63,213
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
アビーロード行った時に知らん3人組の女子と数合わせで撮らされた写真 https://t.co/vA4tezolNl
RT @BTR_anime: 𝘛𝘩𝘢𝘯𝘬 𝘺𝘰𝘶. #ぼっち・ざ・ろっく https://t.co/8I7En34qk9
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。 フェス総合プロデューサー渋谷陽一と事務局からのメッセージ→https://t.co/GwMgbomWnH https://t.co/oTa6cB0j2g
RT @hironorimomoi: グラスパーが全てのミュージシャンにド正論を吐いてるから字幕つけた https://t.co/lfayCnaixp
RT @suntory: ／ #ジェニーハイボール 発売記念！ 11月15日発売開始！ ＼ #ジェニーハイ× #ジムビーム のコラボによって実現！ @suntory をフォローしてこの投稿を RTするだけで抽選で500名様に ジムビームトニックハイボール缶 &ジムビームハイボール缶セットが当たる! 詳細はこちら https://t.co/b1nvEMCCMg https://t.co/j2b4mhTneF
Key Insights & Takeaways
The user frequently shares personal experiences related to music events and performances. They engage with fans by discussing bands and artists in depth. Their content often includes references to popular Japanese musicians and bands, indicating a strong interest in the music scene.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 85,313
- + 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 @oyasumi_ikkyu reveals an well-established Twitter presence with 85,313 followers. The account demonstrates a content-creator strategy, averaging 285.5 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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