General and News & Politics ranking performance
General
Global
Japan
News & Politics
Global
Japan
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
【TBSサンモニ】膳場貴子「転職失敗」元NHKアナの悲惨な末路【デイリーWiLL】
570.8K
Views
10.6K
Likes
654
Comments
Opportunity for growth
【高市政権vs中国共産党】習近平が世界に喧伝する大嘘を暴く!【仲村覚✕デイリーWiLL】
7.9K
Views
615
Likes
24
Comments
Analysis of 50 long-form videos
【TBSサンモニ】膳場貴子「転職失敗」元NHKアナの悲惨な末路【デイリーWiLL】
• Long videos make up 100% of total content
• Average performance: Better than channel average
• Most common duration: Long (10-30 min)
Upload patterns and optimal timing insights
More Shorts are needed for analysis.
Content distribution across 2 main categories
Key performance indicators and trends
Politics dominates with 53% of content
Politics has highest avg views
Society 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 |
|---|---|---|---|---|---|
| #月刊willTop 1 | 50 | 169.9K | 3.22% | -39% | 34/100 |
| #willTop 2 | 50 | 169.9K | 3.22% | -39% | 34/100 |
| #月刊hanadaTop 3 | 50 | 169.9K | 3.22% | -39% | 34/100 |
| #hanada | 50 | 169.9K | 3.22% | -39% | 34/100 |
| #正論 | 50 | 169.9K | 3.22% | -39% | 34/100 |
| #虎ノ門ニュース | 50 | 169.9K | 3.22% | -39% | 34/100 |
| #青山繁晴 | 50 | 169.9K | 3.22% | -39% | 34/100 |
| #石平 | 50 | 169.9K | 3.22% | -39% | 34/100 |
| #須田慎一郎 | 50 | 169.9K | 3.22% | -39% | 34/100 |
| #百田尚樹 | 50 | 169.9K | 3.22% | -39% | 34/100 |
| #上念司 | 50 | 169.9K | 3.22% | -39% | 34/100 |
| #大高未貴 | 50 | 169.9K | 3.22% | -39% | 34/100 |
| #ケント・ギルバート | 50 | 169.9K | 3.22% | -39% | 34/100 |
| #竹田恒泰 | 50 | 169.9K | 3.22% | -39% | 34/100 |
| #有村香 | 50 | 169.9K | 3.22% | -39% | 34/100 |
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