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
【Movie】出軌丈夫聯合小三羞辱妻子,妻子直接狠狠教訓他們,出軌丈夫後悔也晚了!#中国电视剧
142.3K
Views
1.2K
Likes
35
Comments
Opportunity for growth
【Movie】小宮女在廚房偷吃雞腿,不料王爺在身後看著她,對她一見鍾情!#卿卿日常 #田曦薇 #白敬亭 #逐玉
166
Views
6
Likes
0
Comments
Analysis of 50 long-form videos
【Movie】出軌丈夫聯合小三羞辱妻子,妻子直接狠狠教訓他們,出軌丈夫後悔也晚了!#中国电视剧
• 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 3 main categories
Key performance indicators and trends
Entertainment dominates with 43% of content
Entertainment has highest avg views
Television Program 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 |
|---|---|---|---|---|---|
| #chinese dramaTop 1 | 100 | 14K | 0.77% | -77% | 8/100 |
| #大陸劇Top 2 | 50 | 14K | 0.77% | -77% | 8/100 |
| #電視劇Top 3 | 50 | 14K | 0.77% | -77% | 8/100 |
| #热门电视剧 | 50 | 14K | 0.77% | -77% | 8/100 |
| #中國電視劇 | 50 | 14K | 0.77% | -77% | 8/100 |
| #中国电视剧 | 50 | 14K | 0.77% | -77% | 8/100 |
| #cdrama | 50 | 14K | 0.77% | -77% | 8/100 |
| #asian drama | 50 | 14K | 0.77% | -77% | 8/100 |
| #霸道總裁 | 50 | 14K | 0.77% | -77% | 8/100 |
| #霸總 | 50 | 14K | 0.77% | -77% | 8/100 |
| #c-drama | 50 | 14K | 0.77% | -77% | 8/100 |
| #甜寵劇 | 50 | 14K | 0.77% | -77% | 8/100 |
| #甜宠剧 | 50 | 14K | 0.77% | -77% | 8/100 |
| #霸总 | 50 | 14K | 0.77% | -77% | 8/100 |
| #霸道总裁 | 50 | 14K | 0.77% | -77% | 8/100 |
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