General and Music ranking performance
General
Global
Japan
Music
Global
Japan
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
BABYMONSTER - ‘WE GO UP’ Live at “LOVE MONSTERS”
800.7K
Views
33.7K
Likes
712
Comments
Opportunity for growth
ザラ・ラーソン -「ラッシュ・ライフ」和訳付きMV / Zara Larrson - Lush Life (Japenese Lyric Video)
764
Views
23
Likes
0
Comments
Analysis of 13 long-form videos
BABYMONSTER - ‘WE GO UP’ Live at “LOVE MONSTERS”
• Long videos make up 26% of total content
• Average performance: Better than channel average
• Most common duration: Medium (3-10 min)
Upload patterns and optimal timing insights
Content distribution across 11 main categories
Key performance indicators and trends
Music dominates with 33% of content
Electronic Music has highest avg views
Electronic Music shows strongest growth
Most used tags across 112 tag instances
1 tags in category
14 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #sonymusicTop 1 | 10 | 22.2K | 0.58% | +0% | 6/100 |
| #80年代Top 2 | 9 | 6.4K | 6.60% | +1794% | 66/100 |
| #ソニーTop 3 | 9 | 6.4K | 6.60% | +1794% | 66/100 |
| #レガシープラス | 9 | 6.4K | 6.60% | +1794% | 66/100 |
| #ソニーミュージック | 9 | 6.4K | 6.60% | +1794% | 66/100 |
| #otonano | 9 | 6.4K | 6.60% | +1794% | 66/100 |
| #コンピレーションcd | 8 | 2.1K | 1.69% | +0% | 17/100 |
| #90年代 | 8 | 2.1K | 1.69% | +0% | 17/100 |
| #懐かしの名曲 | 8 | 2.1K | 1.69% | +0% | 17/100 |
| #カラオケ | 8 | 2.1K | 1.69% | +0% | 17/100 |
| #jpop | 8 | 2.1K | 1.69% | +0% | 17/100 |
| #ヒット曲 | 8 | 2.1K | 1.69% | +0% | 17/100 |
| #春泥 | 3 | 53.3K | 7.83% | +100% | 79/100 |
| #アニソン | 3 | 41.1K | 7.61% | +1524% | 77/100 |
| #アニメ | 3 | 53.3K | 7.83% | +100% | 79/100 |
Strategic recommendations and performance highlights
Top 5 by view count





Top 5 by like count





Top 5 by comment count





Top 5 by engagement rate





Peak performance metrics across all categories
Top performers across multiple categories



Performance analysis and recommendations