General and Gaming ranking performance
General
Global
United Kingdom
Gaming
Global
United Kingdom
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
米津玄師 「KICK BACK」ヴォックスアクマの歌ってみた
103.1K
Views
14.1K
Likes
386
Comments
Opportunity for growth
【FULL 3D COLLAB】#REQUIEMHEAD2HEAD【1-2-SWITCH】
0
Views
341
Likes
0
Comments
Analysis of 46 long-form videos
米津玄師 「KICK BACK」ヴォックスアクマの歌ってみた
• Long videos make up 92% of total content
• Average performance: Better than channel average
• Most common duration: Very Long (30+ min)
Upload patterns and optimal timing insights
Content distribution across 15 main categories
Key performance indicators and trends
Video Game Culture dominates with 26% of content
Music Of Asia has highest avg views
Music shows strongest growth
Most used tags across 735 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #nijisanjiTop 1 | 49 | 16.9K | 9.98% | +9% | 100/100 |
| #にじさんじTop 2 | 49 | 16.9K | 9.98% | +9% | 100/100 |
| #luxiemTop 3 | 49 | 16.9K | 9.98% | +9% | 100/100 |
| #nijisanji_en | 49 | 16.9K | 9.98% | +9% | 100/100 |
| #voxakuma | 49 | 16.9K | 9.98% | +9% | 100/100 |
| #vox | 49 | 16.9K | 9.98% | +9% | 100/100 |
| #akuma | 49 | 16.9K | 9.98% | +9% | 100/100 |
| #vox akuma | 49 | 16.9K | 9.98% | +9% | 100/100 |
| #asmr | 49 | 16.9K | 9.98% | +9% | 100/100 |
| #male voice asmr | 49 | 16.9K | 9.98% | +9% | 100/100 |
| #deep male voice asmr | 49 | 16.9K | 9.98% | +9% | 100/100 |
| #male vtuber | 49 | 16.9K | 9.98% | +9% | 100/100 |
| #male en vtuber | 49 | 16.9K | 9.98% | +9% | 100/100 |
| #en | 49 | 16.9K | 9.98% | +9% | 100/100 |
| #vtuber | 49 | 16.9K | 9.98% | +9% | 100/100 |
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