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
柴犬が大好きな人にだけしか見せない行動。【黒柴犬】【shiba inu】【豆柴】
13.7K
Views
201
Likes
31
Comments
Opportunity for growth
とにかく散歩が一番好きだった柴犬なのに変わってしまった。【黒柴犬】【shiba inu】【豆柴】
505
Views
64
Likes
10
Comments
Analysis of 50 long-form videos
柴犬が大好きな人にだけしか見せない行動。【黒柴犬】【shiba inu】【豆柴】
• 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 5 main categories
Key performance indicators and trends
Lifestyle Sociology dominates with 45% of content
Hobby has highest avg views
Lifestyle Sociology shows strongest growth
Most used tags across 628 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #柴犬Top 1 | 48 | 2.5K | 5.08% | +159% | 51/100 |
| #黒柴犬Top 2 | 48 | 2.5K | 5.08% | +159% | 51/100 |
| #柴犬くろたTop 3 | 48 | 2.5K | 5.08% | +159% | 51/100 |
| #豆柴 | 48 | 2.5K | 5.08% | +159% | 51/100 |
| #豆柴がいる暮らし | 48 | 2.5K | 5.08% | +159% | 51/100 |
| #柴犬との暮らし | 48 | 2.5K | 5.08% | +159% | 51/100 |
| #shiba | 48 | 2.5K | 5.08% | +159% | 51/100 |
| #dog | 48 | 2.5K | 5.08% | +159% | 51/100 |
| #shiba inu | 48 | 2.5K | 5.08% | +159% | 51/100 |
| #black shiba | 48 | 2.5K | 5.08% | +159% | 51/100 |
| #可愛い | 48 | 2.5K | 5.08% | +159% | 51/100 |
| #癒やし | 47 | 2.4K | 5.27% | +174% | 53/100 |
| #kurotachannel | 44 | 2.6K | 4.94% | +153% | 49/100 |
| #犬の行動 | 5 | 2.1K | 6.55% | +0% | 66/100 |
| #散歩 | 4 | 3K | 4.46% | +0% | 45/100 |
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