General and Kids & Family ranking performance
General
Global
China
Kids & Family
Global
China
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
💥 最新集|玛莎和熊 🐻👱♀️ 中文版 📺 礼物是谁的? 🎁🎀 儿童动画片|Masha and the Bear
282.1K
Views
0
Likes
0
Comments
Opportunity for growth
💥 最新集 💥 玛莎和熊 短片 🐻👱♀️ 垃圾分类 (22 集) 🥤♻️ Masha and the Bear 🐻 精彩片段 👱♀️ 儿童动画片
2.9K
Views
0
Likes
0
Comments
Analysis of 23 long-form videos
💥 最新集|玛莎和熊 🐻👱♀️ 中文版 📺 礼物是谁的? 🎁🎀 儿童动画片|Masha and the Bear
• Long videos make up 46% of total content
• Average performance: Lower than channel average
• Most common duration: Very Long (30+ min)
Upload patterns and optimal timing insights
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 646 tag instances
14 tags in category
1 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #儿童动画片Top 1 | 50 | 36.4K | 0.00% | +0% | 0/100 |
| #玛莎和熊Top 2 | 50 | 36.4K | 0.00% | +0% | 0/100 |
| #动画系列片Top 3 | 42 | 25.8K | 0.00% | +0% | 0/100 |
| #动画片 | 42 | 25.8K | 0.00% | +0% | 0/100 |
| #看动画 | 42 | 25.8K | 0.00% | +0% | 0/100 |
| #看玛莎 | 42 | 25.8K | 0.00% | +0% | 0/100 |
| #儿童 | 42 | 25.8K | 0.00% | +0% | 0/100 |
| #新动画片 | 42 | 25.8K | 0.00% | +0% | 0/100 |
| #玛莎 | 42 | 25.8K | 0.00% | +0% | 0/100 |
| #masha | 42 | 25.8K | 0.00% | +0% | 0/100 |
| #for kids | 42 | 25.8K | 0.00% | +0% | 0/100 |
| #funny | 42 | 25.8K | 0.00% | +0% | 0/100 |
| #popular | 42 | 25.8K | 0.00% | +0% | 0/100 |
| #animation | 42 | 25.8K | 0.00% | +0% | 0/100 |
| #cartoon | 42 | 25.8K | 0.00% | +0% | 0/100 |
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