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
少年將被斬首,功夫大師救下他並傳授絕世功法,逆襲成為天下第一。⚔️ 功夫 | Kung Fu #抗日 #電影 #功夫
132.8K
Views
411
Likes
14
Comments
Opportunity for growth
日軍拿大錘 狂砸女囚犯,惹怒游擊隊,全滅日軍1000人。⚔️ 功夫 | Kung Fu #抗日 #電影 #功夫
135
Views
4
Likes
0
Comments
Analysis of 50 long-form videos
少年將被斬首,功夫大師救下他並傳授絕世功法,逆襲成為天下第一。⚔️ 功夫 | Kung Fu #抗日 #電影 #功夫
• 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 750 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #軍旅Top 1 | 50 | 3.8K | 0.42% | -78% | 4/100 |
| #國軍Top 2 | 50 | 3.8K | 0.42% | -78% | 4/100 |
| #特種兵Top 3 | 50 | 3.8K | 0.42% | -78% | 4/100 |
| #日軍 | 50 | 3.8K | 0.42% | -78% | 4/100 |
| #共軍 | 50 | 3.8K | 0.42% | -78% | 4/100 |
| #戰爭 | 50 | 3.8K | 0.42% | -78% | 4/100 |
| #七七抓馬 | 50 | 3.8K | 0.42% | -78% | 4/100 |
| #抗戰 | 50 | 3.8K | 0.42% | -78% | 4/100 |
| #功夫大師 | 50 | 3.8K | 0.42% | -78% | 4/100 |
| #特種部隊 | 50 | 3.8K | 0.42% | -78% | 4/100 |
| #狙击手 | 50 | 3.8K | 0.42% | -78% | 4/100 |
| #抗战 | 50 | 3.8K | 0.42% | -78% | 4/100 |
| #抗日战争 | 50 | 3.8K | 0.42% | -78% | 4/100 |
| #中国 | 50 | 3.8K | 0.42% | -78% | 4/100 |
| #martial arts | 50 | 3.8K | 0.42% | -78% | 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