General and Entertainment ranking performance
General
Global
Japan
Entertainment
Global
Japan
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
過酷すぎる夜の踊り子チャレンジ⁉️🔥 #ヒメヒナ #HIMEHINA
432.2K
Views
15.2K
Likes
265
Comments
Opportunity for growth
【おしゃべりキング】マイク使ったコミュ力診断ゲームで圧倒的トークを魅せつける🔥【JOJIラジ】
0
Views
92
Likes
0
Comments
Analysis of 26 long-form videos
過酷すぎる夜の踊り子チャレンジ⁉️🔥 #ヒメヒナ #HIMEHINA
• Long videos make up 52% of total content
• Average performance: Better than channel average
• Most common duration: Short Long (1-3 min)
Upload patterns and optimal timing insights
Content distribution across 8 main categories
Key performance indicators and trends
Entertainment dominates with 27% of content
Pop Music has highest avg views
Music shows strongest growth
Most used tags across 586 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #田中ヒメTop 1 | 49 | 117.2K | 6.18% | +155% | 63/100 |
| #鈴木ヒナTop 2 | 49 | 117.2K | 6.18% | +155% | 63/100 |
| #ヒメヒナTop 3 | 49 | 117.2K | 6.18% | +155% | 63/100 |
| #himehinachannel | 49 | 117.2K | 6.18% | +155% | 63/100 |
| #ucfv2z4im5vhrs8bzpq4fhqq | 49 | 117.2K | 6.18% | +155% | 63/100 |
| #vtuber | 49 | 117.2K | 6.18% | +155% | 63/100 |
| #バーチャルyoutuber | 49 | 117.2K | 6.18% | +155% | 63/100 |
| #mv | 43 | 130.4K | 6.14% | +152% | 63/100 |
| #アニメ | 41 | 120.9K | 6.28% | +115% | 64/100 |
| #dance | 36 | 134.7K | 6.23% | +114% | 64/100 |
| #3dcg | 35 | 138.6K | 6.22% | +107% | 64/100 |
| #jpop | 35 | 138.6K | 6.22% | +107% | 64/100 |
| #kpop | 35 | 130.3K | 6.32% | +129% | 65/100 |
| #踊ってみた | 10 | 112.9K | 7.55% | +0% | 77/100 |
| #歌ってみた | 8 | 122.3K | 5.69% | +268% | 58/100 |
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