Twitter ミュージック
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460,269
Followers
72
Following
6,572
Tweets
1,768.6
Avg Engagement
1,070
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TwitterMusicJP'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:2012-10-05
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,973
- Avg Likes per Tweet:37.0
- Avg Retweets per Tweet:1,731.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,973 tweetsThe account consistently received a high number of likes and retweets, indicating strong fan support. The engagement was largely driven by emotional and nostalgic content related to ARASHI.
37.0
Avg Likes/Tweet
1,731.6
Avg Retweets/Tweet
110,023
Total Likes
5,148,009
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
175
Median Retweets
840
75th Percentile
699,442
Top Tweet
3.84
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
6.7%
Original
0.9%
Replies
89.1%
Retweets
3.4%
Quotes
0.0%
Threads
0.0%
With Media
77.4%
With Links
88.7%
With #Tags
95.3%
With @Mentions
24.4%
With Emojis
113
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.13
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.0%
Weekday Posts
31.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,973 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 2,649 retweets (89% 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 2,973 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 followersThe primary audience was ARASHI fans and music enthusiasts in Japan. The content was tailored to evoke emotional responses and foster a sense of community.
Average
Audience Quality
34.1%
Suspicion Index
49.0%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
55.6%
Empty Bio
53.6%
<10 Tweets
11.7%
Mass Following (>2K)
0.0%
New (<90 days)
58.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.4%
No URL
42.3%
<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.
33,805,938
Total Potential Reach
6
Median Follower Reach
74
75th Percentile Reach
4.1%
>1K followers
0.5%
>10K followers
0.2%
>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).
29.7%
Creators
14,847 accounts
16.7%
Consumers
8,350 accounts
53.6%
Dormant
26,803 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):
242
Verified Followers
0.24% of total
10,984
Protected Accounts
10.98% 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 |
|---|---|---|---|
| @jsb3_official | 2,924,368 | Musician | Music, Dance, Entertainment |
| @6BillionPeople | 2,036,164 | - | - |
| @LiSA_OLiVE | 1,611,895 | Singer | Music, Anime, Live Performances |
| @oricon | 1,308,480 | Entertainment | Entertainment, Music, Movies |
| @TwitterKorea | 1,271,671 | - | - |
| @TwitterMktg | 1,039,341 | - | - |
| @udon_lov | 1,037,600 | Food Blogger | Udon, Low Activity, Follow for Happiness |
| @Yui_yoko1208 | 973,986 | Singer | AKB48, Team A, Kyoto |
| @PleasureEllis | 686,028 | Entertainer | Music, Transformation, Celebration |
| @El_Ciudadano | 580,786 | Journalist | Prensa, Libertaria, Denuncia |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
33,941
Followers With Bio
66,059
Followers Without Bio
33.94%
% With Bio
66.06%
% 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 2,973 analyzed1,024,087
Combined Engagement
0
Total Likes
1,024,087
Total Retweets
204,817
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @Harry_Styles: All the love as always. H
RT @arashi5official: 皆さんのおかげ ありがとう！！！ 大野智 This is all because of you! Thank you! -Ohno 嵐でよかった。 ありがとうございました！！ 相葉雅紀 I'm so glad to be part o…
RT @pamyurin: 私の妹ちゃんの浜田ばみゅばみゅちゃんと💓 https://t.co/VsHR23V6Lr
RT @nhk_kouhaku: 第72回NHK紅白歌合戦・出場歌手が決定✨ 出場歌手は43組。 初出場は紅組が4組、白組が6組です。 紅白の最新情報はこちら▼ https://t.co/DQRlQCb8a4 #NHK紅白 https://t.co/UyDWgeKiFS
RT @SMTOWNGLOBAL: 💗Free Online Concert💗 'SMTOWN LIVE 2022' SMCU EXPRESS @ KWANGYA ➫2022.01.01 1PM KST 🎥 Tune in live here #SMTOWN_LIVE #…
Key Insights & Takeaways
The account was heavily focused on ARASHI and their fanbase, with a strong emphasis on gratitude and celebration of their career. It used hashtags and emojis to create a sense of unity and shared experience among fans. The content often included calls to action, such as attending events or expressing love for the group.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 460,269
- + 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 @TwitterMusicJP reveals an exceptionally influential Twitter presence with 460,269 followers. The account demonstrates a content-creator strategy, averaging 1,768.6 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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