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
ファミレスでふざけた名前を書いた瞬間 #マイクラ #コント #茶番
2.2M
Views
35.5K
Likes
271
Comments
Opportunity for growth
【バイオ9】俺のゲーム人生はこれから始まった【バイオハザード レクイエム】
522
Views
55
Likes
10
Comments
Analysis of 24 long-form videos
ファミレスでふざけた名前を書いた瞬間 #マイクラ #コント #茶番
• Long videos make up 48% of total content
• Average performance: Better than channel average
• Most common duration: Short Long (1-3 min)
Upload patterns and optimal timing insights
Content distribution across 5 main categories
Key performance indicators and trends
Video Game Culture dominates with 55% of content
Video Game Culture has highest avg views
Video Game Culture shows strongest growth
Most used tags across 566 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #ごをくんTop 1 | 50 | 429.6K | 1.93% | +33% | 24/100 |
| #ゲーム実況Top 2 | 50 | 429.6K | 1.93% | +33% | 24/100 |
| #おいタグ覗くなよ恥ずかしいだろTop 3 | 50 | 429.6K | 1.93% | +33% | 24/100 |
| #マイクラ | 40 | 525.3K | 1.92% | +31% | 24/100 |
| #マインクラフト | 40 | 525.3K | 1.92% | +31% | 24/100 |
| #minecraft | 40 | 525.3K | 1.92% | +31% | 24/100 |
| #マイクラ実況 | 40 | 525.3K | 1.92% | +31% | 24/100 |
| #マイクラあるある | 40 | 525.3K | 1.92% | +31% | 24/100 |
| #マイクラ茶番 | 40 | 525.3K | 1.92% | +31% | 24/100 |
| #マイクラおもしろい瞬間 | 40 | 525.3K | 1.92% | +31% | 24/100 |
| #マイクラ笑える瞬間 | 40 | 525.3K | 1.92% | +31% | 24/100 |
| #minecraftmeme | 40 | 525.3K | 1.92% | +31% | 24/100 |
| #minecraftmemes | 40 | 525.3K | 1.92% | +31% | 24/100 |
| #gowokun | 8 | 49.1K | 2.55% | -30% | 26/100 |
| #笑えるゲーム実況 | 8 | 53.5K | 2.57% | -37% | 26/100 |
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