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
【古装MULTISUB】小喬執手許諾相伴,二人從聯姻到相依,宿命羈絆太好哭!#宋祖儿 #古装#折腰#刘宇宁
681
Views
2
Likes
0
Comments
Opportunity for growth
【最新電影】暴雨夜妻子丟失工牌,丈夫執意親自送還!車內相視的瞬間氛圍拉滿,機械心臟竟為她跳動加速,這波心動暗糖太好嗑!#爱情 #甜宠 #任嘉伦
30
Views
0
Likes
0
Comments
Analysis of 50 long-form videos
【古装MULTISUB】小喬執手許諾相伴,二人從聯姻到相依,宿命羈絆太好哭!#宋祖儿 #古装#折腰#刘宇宁
• 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 631 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #aiTop 1 | 74 | 110 | 0.91% | +0% | 9/100 |
| #腾讯视频Top 2 | 50 | 111 | 0.90% | +0% | 9/100 |
| #tencentTop 3 | 50 | 111 | 0.90% | +0% | 9/100 |
| #腾讯 | 50 | 111 | 0.90% | +0% | 9/100 |
| #娱圈纪实 | 37 | 110 | 0.91% | +0% | 9/100 |
| #社会 | 37 | 110 | 0.91% | +0% | 9/100 |
| #陈晓卿 | 37 | 110 | 0.91% | +0% | 9/100 |
| #tencent video | 37 | 110 | 0.91% | +0% | 9/100 |
| #wetv | 37 | 110 | 0.91% | +0% | 9/100 |
| #騰訊視頻 | 37 | 110 | 0.91% | +0% | 9/100 |
| #we tv | 37 | 110 | 0.91% | +0% | 9/100 |
| #腾讯视頻 | 37 | 110 | 0.91% | +0% | 9/100 |
| #企鹅影视 | 37 | 110 | 0.91% | +0% | 9/100 |
| #十三邀 | 37 | 110 | 0.91% | +0% | 9/100 |
| #许知远 | 37 | 110 | 0.91% | +0% | 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