超凡蜘蛛
@extraordinaryspider
1.3K
Video Count1.1B
Video View2.6M
Subscriber#79
Hong Kong Rank#18,902
Global RankGeneral and Howto & Style ranking performance
General
Global
Hong Kong
Howto & Style
Global
Hong Kong
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
唐三帅气帮舞麟！ #斗罗大陆唐三小舞
2.7M
Views
24.9K
Likes
7
Comments
Opportunity for growth
蜘蛛侠居然会时间停止！成功救下可怜的女超人和兔子警官！#天使#兔子警官
169
Views
2
Likes
0
Comments
Analysis of 6 long-form videos
善良的蜘蛛侠救了别人，没想到自己却收到了伤害！大家快来救救她#蜘蛛侠 #二次元
• Long videos make up 12% 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 4 main categories
Key performance indicators and trends
Entertainment dominates with 40% of content
Humour has highest avg views
Entertainment shows strongest growth
Most used tags across 300 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #斗罗大陆Top 1 | 20 | 210.2K | 0.85% | +0% | 11/100 |
| #小舞Top 2 | 20 | 210.2K | 0.85% | +0% | 11/100 |
| #唐三Top 3 | 20 | 210.2K | 0.85% | +0% | 11/100 |
| #角色扮演 | 20 | 210.2K | 0.85% | +0% | 11/100 |
| #剧情演绎 | 20 | 210.2K | 0.85% | +0% | 11/100 |
| #搞笑 | 20 | 210.2K | 0.85% | +0% | 11/100 |
| #萌萌与舞桐 | 20 | 210.2K | 0.85% | +0% | 11/100 |
| #亲子 | 20 | 210.2K | 0.85% | +0% | 11/100 |
| #超人 | 20 | 210.2K | 0.85% | +0% | 11/100 |
| #女超人 | 20 | 210.2K | 0.85% | +0% | 11/100 |
| #蜘蛛侠 | 20 | 210.2K | 0.85% | +0% | 11/100 |
| #宁荣荣 | 20 | 210.2K | 0.85% | +0% | 11/100 |
| #唐舞桐与唐老六 | 20 | 210.2K | 0.85% | +0% | 11/100 |
| #斗罗大陆剧情解析 | 20 | 210.2K | 0.85% | +0% | 11/100 |
| #斗罗大陆角色深度剖析 | 20 | 210.2K | 0.85% | +0% | 11/100 |
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