超粒方
@超粒方
Film & Animation857
Video Count337.4M
Video View1.3M
Subscriber#150
Taiwan Rank#45,007
Global RankGeneral and Film & Animation ranking performance
General
Global
Taiwan
Film & Animation
Global
Taiwan
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
《復仇者聯盟5》預告解析 只有這裡看得到! 美國隊長為什麼回來了?! | 超粒方
591.7K
Views
9.4K
Likes
560
Comments
Opportunity for growth
索尼克賽車 交叉世界 來試試新遊戲 | 超粒方
5.5K
Views
73
Likes
1
Comments
Analysis of 45 long-form videos
《復仇者聯盟5》預告解析 只有這裡看得到! 美國隊長為什麼回來了?! | 超粒方
• Long videos make up 90% of total content
• Average performance: Better than channel average
• Most common duration: Long (10-30 min)
Upload patterns and optimal timing insights
Content distribution across 13 main categories
Key performance indicators and trends
Film dominates with 35% of content
Film has highest avg views
Film shows strongest growth
Most used tags across 660 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #超粒方Top 1 | 44 | 126.6K | 2.01% | +0% | 21/100 |
| #超立方Top 2 | 44 | 126.6K | 2.01% | +0% | 21/100 |
| #牛叔说电影Top 3 | 44 | 126.6K | 2.01% | +0% | 21/100 |
| #分分鐘電影大咖 | 44 | 126.6K | 2.01% | +0% | 21/100 |
| #春哥说电影 | 44 | 126.6K | 2.01% | +0% | 21/100 |
| #胶片看电影 | 44 | 126.6K | 2.01% | +0% | 21/100 |
| #昏昏啊 | 44 | 126.6K | 2.01% | +0% | 21/100 |
| #小涛讲电影 | 44 | 126.6K | 2.01% | +0% | 21/100 |
| #科幻梦工场 | 44 | 126.6K | 2.01% | +0% | 21/100 |
| #宇哥讲电影 | 44 | 126.6K | 2.01% | +0% | 21/100 |
| #哇萨比抓马 | 44 | 126.6K | 2.01% | +0% | 21/100 |
| #wasabidrama | 44 | 126.6K | 2.01% | +0% | 21/100 |
| #電影推薦 | 44 | 126.6K | 2.01% | +0% | 21/100 |
| #推薦電影 | 44 | 126.6K | 2.01% | +0% | 21/100 |
| #大聰 | 44 | 126.6K | 2.01% | +0% | 21/100 |
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