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
【銃と王女と勇者】ドラゴンに恋した姫が勇者を大量の銃で撃退するインベントリ管理系タワーディフェンスゲーム
4.7K
Views
42
Likes
2
Comments
Opportunity for growth
【Sports Card Shop Simulator】サッカー選手のトレーディングカードを売買する店を経営して荒稼ぎする。
470
Views
10
Likes
1
Comments
Analysis of 50 long-form videos
【銃と王女と勇者】ドラゴンに恋した姫が勇者を大量の銃で撃退するインベントリ管理系タワーディフェンスゲーム
• 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 8 main categories
Key performance indicators and trends
Video Game Culture dominates with 44% of content
Role-playing Video Game has highest avg views
Puzzle Video Game shows strongest growth
Most used tags across 750 tag instances
14 tags in category
1 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #ゲームTop 1 | 50 | 2K | 1.14% | -9% | 11/100 |
| #インディーゲームTop 2 | 50 | 2K | 1.14% | -9% | 11/100 |
| #インディーTop 3 | 50 | 2K | 1.14% | -9% | 11/100 |
| #洋ゲー | 50 | 2K | 1.14% | -9% | 11/100 |
| #steam | 50 | 2K | 1.14% | -9% | 11/100 |
| #ストラテジー | 50 | 2K | 1.14% | -9% | 11/100 |
| #pcゲーム | 50 | 2K | 1.14% | -9% | 11/100 |
| #スチーム | 50 | 2K | 1.14% | -9% | 11/100 |
| #シミュレーション | 50 | 2K | 1.14% | -9% | 11/100 |
| #シム | 50 | 2K | 1.14% | -9% | 11/100 |
| #ストラテジーゲーム | 50 | 2K | 1.14% | -9% | 11/100 |
| #シミュレーションゲーム | 50 | 2K | 1.14% | -9% | 11/100 |
| #海外ゲーム | 50 | 2K | 1.14% | -9% | 11/100 |
| #game | 50 | 2K | 1.14% | -9% | 11/100 |
| #pc | 50 | 2K | 1.14% | -9% | 11/100 |
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