Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
340,000 VIEWBOTS on my stream...
359.3K
Views
8.8K
Likes
112
Comments
Opportunity for growth
Starting a Band on Stella Montis!
6.2K
Views
290
Likes
30
Comments
Analysis of 21 long-form videos
Stela Montis Aggressive PVP
• Long videos make up 42% of total content
• Average performance: Lower than channel average
• Most common duration: Long (10-30 min)
Upload patterns and optimal timing insights
Content distribution across 5 main categories
Key performance indicators and trends
Action Game dominates with 29% of content
Action Game has highest avg views
Action Game shows strongest growth
Most used tags across 615 tag instances
14 tags in category
1 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #tfueTop 1 | 50 | 93.6K | 2.03% | +100% | 21/100 |
| #tfue livestreamTop 2 | 50 | 93.6K | 2.03% | +100% | 21/100 |
| #tfue full vodTop 3 | 50 | 93.6K | 2.03% | +100% | 21/100 |
| #tfue stream highlights | 50 | 93.6K | 2.03% | +100% | 21/100 |
| #tfue streamhighlights | 50 | 93.6K | 2.03% | +100% | 21/100 |
| #fortnite battle royale | 50 | 93.6K | 2.03% | +100% | 21/100 |
| #tfue fortnite | 50 | 93.6K | 2.03% | +100% | 21/100 |
| #fortnite | 50 | 93.6K | 2.03% | +100% | 21/100 |
| #arc | 33 | 69.4K | 2.84% | +100% | 29/100 |
| #arcraiders | 33 | 69.4K | 2.84% | +100% | 29/100 |
| #arcraiderfue | 33 | 69.4K | 2.84% | +100% | 29/100 |
| #seafue | 33 | 69.4K | 2.84% | +100% | 29/100 |
| #tfuearc | 33 | 69.4K | 2.84% | +100% | 29/100 |
| #tfuearcraiders | 33 | 69.4K | 2.84% | +100% | 29/100 |
| #og fortnite | 17 | 140.6K | 1.25% | +100% | 14/100 |
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