Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
Multi Sub《玉茗茶骨》EP17：陆江来装晕破局揪出旧敌，荣善宝暴雨分权姐妹掌茶园，红帐侍疾诉衷肠，却逢二小姐外室携女登场添变数｜#侯明昊 #古力娜扎 | 古装爱情剧 | 欢娱影视
25.3K
Views
577
Likes
22
Comments
Opportunity for growth
ENG SUB《玉茗茶骨：攻略计划》EP09｜茶王千金招婿，谁能过关斩将夺得美人芳心？《玉茗茶骨》周边漫剧热播中🔥｜最新动漫 欢娱影视
122
Views
0
Likes
0
Comments
Analysis of 37 long-form videos
Multi Sub《玉茗茶骨》EP17：陆江来装晕破局揪出旧敌，荣善宝暴雨分权姐妹掌茶园，红帐侍疾诉衷肠，却逢二小姐外室携女登场添变数｜#侯明昊 #古力娜扎 | 古装爱情剧 | 欢娱影视
• Long videos make up 74% of total content
• Average performance: Better than channel average
• Most common duration: Short Long (1-3 min)
Upload patterns and optimal timing insights
Content distribution across 4 main categories
Key performance indicators and trends
Entertainment dominates with 39% 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 |
|---|---|---|---|---|---|
| #欢娱影视官方频道Top 1 | 50 | 3.4K | 2.44% | +100% | 24/100 |
| #中国电视剧Top 2 | 50 | 3.4K | 2.44% | +100% | 24/100 |
| #欢娱影视Top 3 | 50 | 3.4K | 2.44% | +100% | 24/100 |
| #合家欢 | 50 | 3.4K | 2.44% | +100% | 24/100 |
| #喜剧 | 50 | 3.4K | 2.44% | +100% | 24/100 |
| #古装剧 | 50 | 3.4K | 2.44% | +100% | 24/100 |
| #古装电视剧 | 50 | 3.4K | 2.44% | +100% | 24/100 |
| #出色中国电视剧 | 50 | 3.4K | 2.44% | +100% | 24/100 |
| #好看中国电视剧 | 50 | 3.4K | 2.44% | +100% | 24/100 |
| #古代 | 50 | 3.4K | 2.44% | +100% | 24/100 |
| #bailu | 50 | 3.4K | 2.44% | +100% | 24/100 |
| #bai lu | 50 | 3.4K | 2.44% | +100% | 24/100 |
| #jin chen | 50 | 3.4K | 2.44% | +100% | 24/100 |
| #王牌电视剧 | 50 | 3.4K | 2.44% | +100% | 24/100 |
| #好看的电视剧 | 50 | 3.4K | 2.44% | +100% | 24/100 |
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
