General and Science & Technology ranking performance
General
Global
South Korea
Science & Technology
Global
South Korea
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
沒想到這麼Diao!MacBook Neo開箱評測!| 屏幕、重量、揚聲器、遊戲、剪輯、多任務、連結AVP、性能測試 | 大耳朵TV
184.7K
Views
3.2K
Likes
326
Comments
Opportunity for growth
大耳朵TV直播
0
Views
0
Likes
0
Comments
Analysis of 42 long-form videos
沒想到這麼Diao!MacBook Neo開箱評測!| 屏幕、重量、揚聲器、遊戲、剪輯、多任務、連結AVP、性能測試 | 大耳朵TV
• Long videos make up 84% of total content
• Average performance: Better than channel average
• Most common duration: Medium (3-10 min)
Upload patterns and optimal timing insights
Content distribution across 8 main categories
Key performance indicators and trends
Technology dominates with 42% of content
Technology has highest avg views
Food shows strongest growth
Most used tags across 648 tag instances
14 tags in category
1 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #iphoneTop 1 | 47 | 47.9K | 1.76% | +64% | 18/100 |
| #macbookTop 2 | 46 | 45.4K | 1.82% | +28% | 19/100 |
| #大耳朵tvTop 3 | 44 | 45.9K | 1.85% | +21% | 19/100 |
| #vlog | 44 | 45.9K | 1.85% | +21% | 19/100 |
| #苹果 | 43 | 45.5K | 1.82% | +42% | 19/100 |
| #蘋果 | 43 | 45.6K | 1.81% | +42% | 19/100 |
| #ipad | 43 | 45.5K | 1.82% | +42% | 19/100 |
| #macbookpro | 43 | 46.6K | 1.80% | +38% | 18/100 |
| #app | 43 | 45.9K | 1.81% | +40% | 19/100 |
| #airpods | 42 | 46.3K | 1.81% | +39% | 19/100 |
| #applewatch | 42 | 46.3K | 1.81% | +39% | 19/100 |
| #m1 | 42 | 46.3K | 1.81% | +39% | 19/100 |
| #軟體 | 42 | 46.3K | 1.81% | +39% | 19/100 |
| #軟件 | 42 | 46.3K | 1.81% | +39% | 19/100 |
| #apple | 42 | 46.3K | 1.81% | +39% | 19/100 |
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