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
日軍精銳攻城不成反被圍殲,八路這一戰殺得他們片甲不留!
23.3K
Views
193
Likes
6
Comments
Opportunity for growth
中國小夥用竹竿反殺日軍高手,全程高能!
343
Views
11
Likes
0
Comments
Analysis of 50 long-form videos
日軍精銳攻城不成反被圍殲,八路這一戰殺得他們片甲不留!
• 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 50% of content
Entertainment 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 |
|---|---|---|---|---|---|
| #枪神婉婉Top 1 | 50 | 6.5K | 0.93% | -62% | 9/100 |
| #狙擊手Top 2 | 50 | 6.5K | 0.93% | -62% | 9/100 |
| #特種兵Top 3 | 50 | 6.5K | 0.93% | -62% | 9/100 |
| #martial arts | 50 | 6.5K | 0.93% | -62% | 9/100 |
| #martial arts fight | 50 | 6.5K | 0.93% | -62% | 9/100 |
| #martial arts movie | 50 | 6.5K | 0.93% | -62% | 9/100 |
| #kung fu | 50 | 6.5K | 0.93% | -62% | 9/100 |
| #fight | 50 | 6.5K | 0.93% | -62% | 9/100 |
| #動作 | 50 | 6.5K | 0.93% | -62% | 9/100 |
| #troops | 50 | 6.5K | 0.93% | -62% | 9/100 |
| #chinese drama | 50 | 6.5K | 0.93% | -62% | 9/100 |
| #kung fu movie | 50 | 6.5K | 0.93% | -62% | 9/100 |
| #eight route army | 50 | 6.5K | 0.93% | -62% | 9/100 |
| #second sino-japanese war | 50 | 6.5K | 0.93% | -62% | 9/100 |
| #抗日電視劇 | 50 | 6.5K | 0.93% | -62% | 9/100 |
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