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
外国人「店員を呼んではいけない」 #文化の違い #店員 #海外の反応
1.9M
Views
23.8K
Likes
1.3K
Comments
Opportunity for growth
中国人にとってのお墓 #文化の違い #中国 #墓
190.7K
Views
3.1K
Likes
103
Comments
Analysis of 50 long-form videos
外国人「店員を呼んではいけない」 #文化の違い #店員 #海外の反応
• Long videos make up 100% of total content
• Average performance: Better than channel average
• Most common duration: Short Long (1-3 min)
Upload patterns and optimal timing insights
More Shorts are needed for analysis.
Content distribution across 3 main categories
Key performance indicators and trends
Entertainment dominates with 92% of content
Business has highest avg views
Entertainment shows strongest growth
Most used tags across 68 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #海外の反応Top 1 | 11 | 338.9K | 3.34% | +100% | 37/100 |
| #外国人の反応Top 2 | 9 | 345.7K | 3.16% | +100% | 35/100 |
| #外国人Top 3 | 7 | 338.2K | 3.48% | +100% | 38/100 |
| #mrfuji from japan | 6 | 328K | 3.53% | +100% | 39/100 |
| #日本文化 | 6 | 395.6K | 3.22% | +100% | 36/100 |
| #文化の違い | 5 | 314.6K | 3.69% | +100% | 40/100 |
| #mrfuji | 4 | 276.5K | 3.45% | +100% | 37/100 |
| #カルチャーショック | 3 | 337.4K | 3.21% | +100% | 35/100 |
| #禁断質問 | 3 | 293.9K | 3.36% | +100% | 37/100 |
| #日本 | 3 | 381.3K | 3.67% | +100% | 41/100 |
| #mrfujifromjapan | 3 | 246.2K | 3.48% | +100% | 37/100 |
| #世界の文化 | 2 | 332.7K | 3.31% | +100% | 36/100 |
| #英語 | 2 | 242.7K | 3.43% | +100% | 37/100 |
| #英会話 | 2 | 242.7K | 3.43% | +100% | 37/100 |
| #英語学習 | 2 | 242.7K | 3.43% | +100% | 37/100 |
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