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
日本女人慘遭日軍凌辱,關鍵時刻一名高手從天而降,瞬間把他打殘!⚔️ 抗日 | Kung Fu
15K
Views
54
Likes
1
Comments
Opportunity for growth
八路深夜闖進日軍占地,利用土辦法將日軍耍得團團轉 ⚔️ 抗日 | Kung Fu
280
Views
7
Likes
0
Comments
Analysis of 50 long-form videos
日本女人慘遭日軍凌辱,關鍵時刻一名高手從天而降,瞬間把他打殘!⚔️ 抗日 | Kung Fu
• Long videos make up 100% of total content
• Average performance: Better than channel average
• Most common duration: Very Long (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 51% of content
Film has highest avg views
Entertainment 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 |
|---|---|---|---|---|---|
| #看著我打槍Top 1 | 50 | 1.7K | 1.03% | -10% | 10/100 |
| #戰爭Top 2 | 50 | 1.7K | 1.03% | -10% | 10/100 |
| #特种兵Top 3 | 50 | 1.7K | 1.03% | -10% | 10/100 |
| #狙击手 | 50 | 1.7K | 1.03% | -10% | 10/100 |
| #抗战 | 50 | 1.7K | 1.03% | -10% | 10/100 |
| #抗日战争 | 50 | 1.7K | 1.03% | -10% | 10/100 |
| #martial art | 50 | 1.7K | 1.03% | -10% | 10/100 |
| #八路军 | 50 | 1.7K | 1.03% | -10% | 10/100 |
| #martial art movie | 50 | 1.7K | 1.03% | -10% | 10/100 |
| #martial art fight | 50 | 1.7K | 1.03% | -10% | 10/100 |
| #kung fu | 50 | 1.7K | 1.03% | -10% | 10/100 |
| #日军 | 50 | 1.7K | 1.03% | -10% | 10/100 |
| #fight | 50 | 1.7K | 1.03% | -10% | 10/100 |
| #动作 | 50 | 1.7K | 1.03% | -10% | 10/100 |
| #troops | 50 | 1.7K | 1.03% | -10% | 10/100 |
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