亜沙
亜沙/Asa/Musician/Bassist/VOCALOID/UTAU/Automata Crown /配信→https://lnk.to/_asa
71,343
Followers
420
Following
16,159
Tweets
910.6
Avg Engagement
831
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @bass_asa'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:2011-12-16
- Verification:No
- Location:TOKYO
Data Summary
- Tweets Analyzed:3,239
- Avg Likes per Tweet:545.1
- Avg Retweets per Tweet:365.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,239 tweetsAsa's tweets receive a high number of likes and retweets, indicating strong audience interaction. Their content is well-received and often shared within their niche communities.
545.1
Avg Likes/Tweet
365.5
Avg Retweets/Tweet
1,765,692
Total Likes
1,183,870
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
529
Median Likes
56
Median Retweets
997
75th Percentile
211,121
Top Tweet
12.76
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
46.1%
Original
9.7%
Replies
34.0%
Retweets
10.2%
Quotes
0.0%
Threads
0.0%
With Media
53.3%
With Links
13.6%
With #Tags
44.8%
With @Mentions
10.9%
With Emojis
77
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.21
Reply/Original Ratio
0.3
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.3%
Weekday Posts
31.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,239 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 1,100 retweets (34% 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 3,239 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 followersAsa's audience is primarily interested in music production, VOCALOID, and live streaming. They are likely fans of both traditional music and digital music creation tools.
Average
Audience Quality
22.6%
Suspicion Index
25.8%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.7%
Empty Bio
26.0%
<10 Tweets
9.5%
Mass Following (>2K)
0.0%
New (<90 days)
50.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.2%
No URL
18.0%
<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.
7,373,342
Total Potential Reach
20
Median Follower Reach
121
75th Percentile Reach
4.8%
>1K followers
0.6%
>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).
55.5%
Creators
5,548 accounts
18.5%
Consumers
1,854 accounts
26.0%
Dormant
2,598 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):
49
Verified Followers
0.49% of total
1,670
Protected Accounts
16.7% 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 |
|---|---|---|---|
| @AmyLeeEV | 792,835 | Musician | Evanescence, Music, Synthesis |
| @kurita__emi | 601,593 | Influencer | SNS, self-produce, Instagram |
| @marasy8 | 335,821 | Pianist | Piano, Instagram, YouTube |
| @TOWER_Shibuya | 278,818 | Music | music, events, vinyl |
| @haru_sugar02 | 200,822 | Illustrator | Dragons, Anime, Illustration |
| @ryouran2525 | 189,246 | MC/司会者 | MC, Studio Production, Anime Art |
| @vinegar_vinegar | 189,186 | Musician | Music, Cooking, Art |
| @AyAsA_violin | 185,443 | Violinist | Violin, Anime, Music |
| @kony_niconico | 184,033 | - | - |
| @8_Prince | 148,990 | Music Producer | Vocaloid music, Music production, Gaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,634
Followers With Bio
3,366
Followers Without Bio
66.34%
% With Bio
33.66%
% 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 3,239 analyzed630,966
Combined Engagement
0
Total Likes
630,966
Total Retweets
126,193
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @kyoani: 7月18日に発生した事件について https://t.co/P76mTHc2cx https://t.co/gMZ1ddIqmA
RT @ryuichisakamoto: https://t.co/mYLMEN6HrZ
RT @hitorieJP: ヒトリエからのお知らせ https://t.co/TMWBv7oPjR
RT @uta_irohauta: ｢ X JAPANの紅に合わせて首を振るチコリータ ｣とかいう動画作ったけどつまんなすぎたので共有します https://t.co/cXKUCPL4zK
RT @Yahoo_JAPAN_PR: 東日本大震災から7年。 きょう3月11日に、Yahoo! JAPANで「3.11」と検索された方お一人につき10円が、東北復興に携わる団体に寄付されます🌱 ➡https://t.co/vdOJU6to1X #いま応援できること #検索は応援になる #復興支援 https://t.co/8OhsTvoybv
Key Insights & Takeaways
Asa frequently shares links to their live streams, suggesting a focus on real-time audience interaction. They collaborate with other artists, which helps expand their reach and credibility. Their content often includes both music and performance elements, highlighting their versatility as a creator.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 71,343
- + 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 @bass_asa reveals an well-established Twitter presence with 71,343 followers. The account demonstrates a content-creator strategy, averaging 910.6 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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