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
女孩為了落選狠心毀容，不料被王爺一眼看中，當場冊封為妃！#岁岁青莲 #中国电视剧
14.9K
Views
95
Likes
2
Comments
Opportunity for growth
幾百名秀女同時參加選妃，王爺卻偏偏對人群中最不起眼的女孩一见钟情，指点要她为妃！#卿卿日常 #田曦薇 #白敬亭 #逐玉 #张凌赫
0
Views
0
Likes
0
Comments
Analysis of 50 long-form videos
女孩為了落選狠心毀容，不料被王爺一眼看中，當場冊封為妃！#岁岁青莲 #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 44% of content
Television Program 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 | 3.2K | 0.75% | +103% | 8/100 |
| #大陸劇Top 2 | 50 | 3.2K | 0.75% | +103% | 8/100 |
| #電視劇Top 3 | 50 | 3.2K | 0.75% | +103% | 8/100 |
| #热门电视剧 | 50 | 3.2K | 0.75% | +103% | 8/100 |
| #中國電視劇 | 50 | 3.2K | 0.75% | +103% | 8/100 |
| #中国电视剧 | 50 | 3.2K | 0.75% | +103% | 8/100 |
| #cdrama | 50 | 3.2K | 0.75% | +103% | 8/100 |
| #asian drama | 50 | 3.2K | 0.75% | +103% | 8/100 |
| #霸道總裁 | 50 | 3.2K | 0.75% | +103% | 8/100 |
| #霸總 | 50 | 3.2K | 0.75% | +103% | 8/100 |
| #c-drama | 50 | 3.2K | 0.75% | +103% | 8/100 |
| #甜寵劇 | 50 | 3.2K | 0.75% | +103% | 8/100 |
| #甜宠剧 | 50 | 3.2K | 0.75% | +103% | 8/100 |
| #霸总 | 50 | 3.2K | 0.75% | +103% | 8/100 |
| #霸道总裁 | 50 | 3.2K | 0.75% | +103% | 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
