General and Howto & Style ranking performance
General
Global
Japan
Howto & Style
Global
Japan
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
帰省したお姉ちゃんと思って大喜びでお布団の中を覗いてみると、全然知らないお姉さんでびっくりする柴犬→喜び大爆発
121.6K
Views
5K
Likes
307
Comments
Opportunity for growth
交通量調査バイトの要領で目のシパシパの回数を測定される柴犬
12.3K
Views
1.7K
Likes
114
Comments
Analysis of 50 long-form videos
帰省したお姉ちゃんと思って大喜びでお布団の中を覗いてみると、全然知らないお姉さんでびっくりする柴犬→喜び大爆発
• Long videos make up 100% of total content
• Average performance: Better than channel average
• Most common duration: Medium (3-10 min)
Upload patterns and optimal timing insights
More Shorts are needed for analysis.
Content distribution across 4 main categories
Key performance indicators and trends
Lifestyle Sociology dominates with 46% of content
Food has highest avg views
Fashion shows strongest growth
Most used tags across 750 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #柴犬Top 1 | 50 | 30.4K | 9.92% | -37% | 100/100 |
| #芝犬Top 2 | 50 | 30.4K | 9.92% | -37% | 100/100 |
| #ペットTop 3 | 50 | 30.4K | 9.92% | -37% | 100/100 |
| #動物 | 50 | 30.4K | 9.92% | -37% | 100/100 |
| #面白い | 50 | 30.4K | 9.92% | -37% | 100/100 |
| #かわいい | 50 | 30.4K | 9.92% | -37% | 100/100 |
| #笑顔 | 50 | 30.4K | 9.92% | -37% | 100/100 |
| #shiba | 50 | 30.4K | 9.92% | -37% | 100/100 |
| #shibe | 50 | 30.4K | 9.92% | -37% | 100/100 |
| #dog | 50 | 30.4K | 9.92% | -37% | 100/100 |
| #なでなで | 50 | 30.4K | 9.92% | -37% | 100/100 |
| #癒される | 50 | 30.4K | 9.92% | -37% | 100/100 |
| #楽しい | 50 | 30.4K | 9.92% | -37% | 100/100 |
| #心が温まる | 50 | 30.4K | 9.92% | -37% | 100/100 |
| #蘭丸 | 50 | 30.4K | 9.92% | -37% | 100/100 |
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