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
家系ラーメン好きじゃないと落とされるバイト面接 @masakino_jinseiha_tanoshii
1.5M
Views
18.7K
Likes
147
Comments
Opportunity for growth
高い、不味い、味が薄い。こめおのラーメン、実際どうなの?
40.4K
Views
943
Likes
311
Comments
Analysis of 44 long-form videos
家系ラーメン好きじゃないと落とされるバイト面接 @masakino_jinseiha_tanoshii
• Long videos make up 88% of total content
• Average performance: Lower than channel average
• Most common duration: Long (10-30 min)
Upload patterns and optimal timing insights
Content distribution across 3 main categories
Key performance indicators and trends
Lifestyle Sociology dominates with 50% of content
Entertainment has highest avg views
Food shows strongest growth
Most used tags across 585 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #ラーメンTop 1 | 47 | 249.8K | 1.45% | +15% | 17/100 |
| #すするTop 2 | 47 | 249.8K | 1.45% | +15% | 17/100 |
| #ススルTop 3 | 47 | 249.8K | 1.45% | +15% | 17/100 |
| #毎日ラーメン | 37 | 123K | 1.59% | -33% | 17/100 |
| #ramen | 37 | 123K | 1.59% | -33% | 17/100 |
| #毎日ラーメン生活 | 37 | 123K | 1.59% | -33% | 17/100 |
| #ラーメン動画 | 37 | 123K | 1.59% | -33% | 17/100 |
| #ラーメンyoutuber | 37 | 123K | 1.59% | -33% | 17/100 |
| #susuru | 37 | 123K | 1.59% | -33% | 17/100 |
| #susuru tv | 37 | 123K | 1.59% | -33% | 17/100 |
| #黒烏龍茶 | 37 | 123K | 1.59% | -33% | 17/100 |
| #黒烏龍茶応援チャンネル | 37 | 123K | 1.59% | -33% | 17/100 |
| #モッパン | 37 | 123K | 1.59% | -33% | 17/100 |
| #すするtv | 37 | 123K | 1.59% | -33% | 17/100 |
| #大食い | 37 | 123K | 1.59% | -33% | 17/100 |
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