General and Entertainment ranking performance
General
Global
United States
Entertainment
Global
United States
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
日军疯狂追捕村姑,不料她竟是枪神,十把机枪秒杀日军!⚔️ 動作|#武俠 #動作 #華語
29.1K
Views
122
Likes
3
Comments
Opportunity for growth
少女誤入神秘島嶼,竟被高人傳授絕世武功,從此改變命運!⚔️ 動作|#武俠 #動作 #華語
108
Views
0
Likes
0
Comments
Analysis of 50 long-form videos
日军疯狂追捕村姑,不料她竟是枪神,十把机枪秒杀日军!⚔️ 動作|#武俠 #動作 #華語
• 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
Entertainment dominates with 50% of content
Entertainment has highest avg views
Entertainment shows strongest growth
Most used tags across 800 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #martial artsTop 1 | 100 | 1.7K | 0.41% | +277% | 4/100 |
| #學姐愛追劇Top 2 | 50 | 1.7K | 0.41% | +277% | 4/100 |
| #中國電視劇Top 3 | 50 | 1.7K | 0.41% | +277% | 4/100 |
| #大陸電視劇 | 50 | 1.7K | 0.41% | +277% | 4/100 |
| #古裝 | 50 | 1.7K | 0.41% | +277% | 4/100 |
| #costume & period | 50 | 1.7K | 0.41% | +277% | 4/100 |
| #字幕 | 50 | 1.7K | 0.41% | +277% | 4/100 |
| #eng & sub | 50 | 1.7K | 0.41% | +277% | 4/100 |
| #武侠 | 50 | 1.7K | 0.41% | +277% | 4/100 |
| #动作 | 50 | 1.7K | 0.41% | +277% | 4/100 |
| #中国功夫 | 50 | 1.7K | 0.41% | +277% | 4/100 |
| #家国情怀 | 50 | 1.7K | 0.41% | +277% | 4/100 |
| #打脸 | 50 | 1.7K | 0.41% | +277% | 4/100 |
| #虐渣 | 50 | 1.7K | 0.41% | +277% | 4/100 |
| #金庸 | 50 | 1.7K | 0.41% | +277% | 4/100 |
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