Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
😎 #唐宫奇案之青雾风鸣 #unveiljadewind #白鹿 #王星越 #姚安娜 #赵晴 #古装 #悬疑 #优酷 #YOUKU
12.6K
Views
330
Likes
3
Comments
Opportunity for growth
ENGSUB【惜花芷Blossoms in Adversity】EP13 | 胡一天张婧仪双强救赎!落魄千金天降世子相公!| 胡一天/张婧仪/吴希泽/卢昱晓 | 爱情 古装 | 优酷 YOUKU
85
Views
1
Likes
0
Comments
Analysis of 50 long-form videos
😎 #唐宫奇案之青雾风鸣 #unveiljadewind #白鹿 #王星越 #姚安娜 #赵晴 #古装 #悬疑 #优酷 #YOUKU
• 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
Content distribution across 3 main categories
Key performance indicators and trends
Entertainment dominates with 34% of content
Film has highest avg views
Entertainment shows strongest growth
Most used tags across 447 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #优酷Top 1 | 50 | 1.6K | 2.47% | +100% | 25/100 |
| #电视剧Top 2 | 50 | 1.6K | 2.47% | +100% | 25/100 |
| #cdramaTop 3 | 37 | 1.7K | 2.65% | +100% | 27/100 |
| #youku chinese drama | 34 | 1.4K | 2.64% | +100% | 26/100 |
| #youku | 33 | 1.9K | 2.33% | +100% | 23/100 |
| #电视剧2026 | 27 | 1K | 2.60% | +100% | 26/100 |
| #chinese drama 2026 | 27 | 1K | 2.60% | +100% | 26/100 |
| #古装剧 | 27 | 1K | 2.60% | +100% | 26/100 |
| #爱情剧 | 27 | 896 | 2.34% | +100% | 23/100 |
| #爱情片 | 26 | 1.4K | 2.52% | +100% | 25/100 |
| #爱情 | 23 | 952 | 2.52% | +100% | 25/100 |
| #张婧仪 | 22 | 699 | 1.86% | +100% | 19/100 |
| #zhang jingyi | 22 | 699 | 1.86% | +100% | 19/100 |
| #中国古装剧 | 22 | 699 | 1.86% | +100% | 19/100 |
| #chinese drama | 20 | 2.3K | 2.57% | +100% | 26/100 |
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