General and Gaming ranking performance
General
Global
Japan
Gaming
Global
Japan
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
ベテルギウス/ 優里【加賀美ハヤト Cover】
658K
Views
37.2K
Likes
1.2K
Comments
Opportunity for growth
【Pokémon Trading Card Game Pocket】テーマ拡張パック「進撃パラドックス」を開封!【にじさんじ/加賀美ハヤト】
45.4K
Views
2.4K
Likes
48
Comments
Analysis of 50 long-form videos
ベテルギウス/ 優里【加賀美ハヤト Cover】
• Long videos make up 100% of total content
• Average performance: Better than channel average
• Most common duration: Very Long (30+ min)
Upload patterns and optimal timing insights
More Shorts are needed for analysis.
Content distribution across 10 main categories
Key performance indicators and trends
Video Game Culture dominates with 44% of content
Music has highest avg views
Music shows strongest growth
Most used tags across 537 tag instances
14 tags in category
1 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #加賀美ハヤトTop 1 | 50 | 114.3K | 4.74% | +43% | 49/100 |
| #かがみはやとTop 2 | 50 | 114.3K | 4.74% | +43% | 49/100 |
| #kagamihayatoTop 3 | 50 | 114.3K | 4.74% | +43% | 49/100 |
| #にじさんじ | 50 | 114.3K | 4.74% | +43% | 49/100 |
| #nijisanji | 50 | 114.3K | 4.74% | +43% | 49/100 |
| #vtuber | 50 | 114.3K | 4.74% | +43% | 49/100 |
| #ゲーム | 40 | 95.6K | 4.00% | +7% | 41/100 |
| #game | 39 | 99K | 4.02% | +11% | 41/100 |
| #実況 | 37 | 108.2K | 4.44% | +53% | 45/100 |
| #anime | 33 | 122.9K | 5.19% | +64% | 53/100 |
| #japan | 27 | 128.6K | 5.48% | +68% | 56/100 |
| #切り抜き | 22 | 103.1K | 3.99% | +0% | 41/100 |
| #アニメ | 16 | 149.9K | 4.85% | +19% | 50/100 |
| #雑談 | 14 | 104.7K | 4.66% | -16% | 48/100 |
| #カバー | 9 | 97.1K | 5.32% | +22% | 54/100 |
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