Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
How Strong is Emperor Invincible?
617.9K
Views
17K
Likes
721
Comments
Opportunity for growth
Kaneki & Rize's Final Talk in Tokyo Ghoul Explained.
1.5K
Views
226
Likes
19
Comments
Analysis of 50 long-form videos
How Strong is Emperor Invincible?
• Long videos make up 100% of total content
• Average performance: Better than channel average
• Most common duration: Long (10-30 min)
Upload patterns and optimal timing insights
Content distribution across 7 main categories
Key performance indicators and trends
Entertainment dominates with 51% of content
Entertainment has highest avg views
Religion shows strongest growth
Most used tags across 304 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #animeTop 1 | 24 | 18.6K | 5.44% | -17% | 55/100 |
| #kenjakuTop 2 | 20 | 18.2K | 5.59% | -15% | 56/100 |
| #gojo vs kenjakuTop 3 | 20 | 18.2K | 5.59% | -15% | 56/100 |
| #gojo vs sukuna | 20 | 18.2K | 5.59% | -15% | 56/100 |
| #hakari | 20 | 18.2K | 5.59% | -15% | 56/100 |
| #itadori | 20 | 18.2K | 5.59% | -15% | 56/100 |
| #jjk manga | 20 | 18.2K | 5.59% | -15% | 56/100 |
| #jjk manga spoilers | 20 | 18.2K | 5.59% | -15% | 56/100 |
| #jujutsu kaisen | 20 | 18.2K | 5.59% | -15% | 56/100 |
| #jujutsu kaisen manga | 20 | 18.2K | 5.59% | -15% | 56/100 |
| #jujutsu kaisen season 2 | 20 | 18.2K | 5.59% | -15% | 56/100 |
| #megumi sukuna | 20 | 18.2K | 5.59% | -15% | 56/100 |
| #sukuna | 20 | 18.2K | 5.59% | -15% | 56/100 |
| #sukuna vs gojo | 20 | 18.2K | 5.59% | -15% | 56/100 |
| #sukunas binding vow | 20 | 18.2K | 5.59% | -15% | 56/100 |
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