Global & Regional Performance
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
【訪問難易度SS】ここはガチの穴場です。初見では入店できない隠れ家過ぎるラーメン店を見つけたので突撃。をすする 支那そば ひらおか【飯テロ】SUSURU TV.第3741回
45.8K
Views
850
Likes
127
Comments
Analysis of 42 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 84% 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
Food dominates with 49% of content
Entertainment has highest avg views
Lifestyle Sociology shows strongest growth
Most used tags across 581 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 | 49 | 241.1K | 1.59% | +14% | 18/100 |
| #すするTop 2 | 49 | 241.1K | 1.59% | +14% | 18/100 |
| #ススルTop 3 | 49 | 241.1K | 1.59% | +14% | 18/100 |
| #大食い | 38 | 131.8K | 1.62% | +30% | 18/100 |
| #毎日ラーメン | 36 | 107.8K | 1.69% | +120% | 18/100 |
| #ramen | 36 | 107.8K | 1.69% | +120% | 18/100 |
| #毎日ラーメン生活 | 36 | 107.8K | 1.69% | +120% | 18/100 |
| #ラーメン動画 | 36 | 107.8K | 1.69% | +120% | 18/100 |
| #ラーメンyoutuber | 36 | 107.8K | 1.69% | +120% | 18/100 |
| #susuru | 36 | 107.8K | 1.69% | +120% | 18/100 |
| #susuru tv | 36 | 107.8K | 1.69% | +120% | 18/100 |
| #黒烏龍茶 | 36 | 107.8K | 1.69% | +120% | 18/100 |
| #黒烏龍茶応援チャンネル | 36 | 107.8K | 1.69% | +120% | 18/100 |
| #モッパン | 36 | 107.8K | 1.69% | +120% | 18/100 |
| #すするtv | 36 | 107.8K | 1.69% | +120% | 18/100 |
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
