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
『TAKO∞TAKOVER』 - Ninomae Ina'nis
290.9K
Views
50.9K
Likes
2.5K
Comments
Opportunity for growth
【fes/EXPO26】INA CHEERING ROOM!!!!!
0
Views
609
Likes
0
Comments
Analysis of 42 long-form videos
『TAKO∞TAKOVER』 - Ninomae Ina'nis
• Long videos make up 84% 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 16 main categories
Key performance indicators and trends
Video Game Culture dominates with 27% of content
Electronic Music has highest avg views
Casual Game shows strongest growth
Most used tags across 402 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #ninomaeTop 1 | 49 | 62.7K | 13.78% | -8% | 138/100 |
| #hololive englishTop 2 | 49 | 62.7K | 13.78% | -8% | 138/100 |
| #holomythTop 3 | 49 | 62.7K | 13.78% | -8% | 138/100 |
| #inanis | 44 | 56.9K | 12.59% | +9% | 126/100 |
| #ina | 44 | 56.9K | 12.59% | +9% | 126/100 |
| #takotime | 44 | 56.9K | 12.59% | +9% | 126/100 |
| #hololiveen | 44 | 56.9K | 12.59% | +9% | 126/100 |
| #amiami | 44 | 56.9K | 12.59% | +9% | 126/100 |
| #ホロライブ | 5 | 114.1K | 18.99% | -68% | 191/100 |
| #hololive | 5 | 114.1K | 18.99% | -68% | 191/100 |
| #ホロライブプロダクション | 5 | 114.1K | 18.99% | -68% | 191/100 |
| #hololive production | 5 | 114.1K | 18.99% | -68% | 191/100 |
| #ホロプロ | 5 | 114.1K | 18.99% | -68% | 191/100 |
| #ina'nis | 5 | 114.1K | 18.99% | -68% | 191/100 |
| #一伊那尓栖 | 5 | 114.1K | 18.99% | -68% | 191/100 |
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