Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
We Predict The Biggest Box Office Bombs Of 2026
62.6K
Views
1.1K
Likes
155
Comments
Opportunity for growth
Avatar Scenes That Were Left On The Cutting Room Floor
1.1K
Views
56
Likes
2
Comments
Analysis of 48 long-form videos
We Predict The Biggest Box Office Bombs Of 2026
• Long videos make up 96% 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 8 main categories
Key performance indicators and trends
Entertainment dominates with 44% of content
Television Program has highest avg views
Television Program shows strongest growth
Most used tags across 111 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #looperTop 1 | 50 | 12.3K | 2.94% | -1% | 30/100 |
| #stranger thingsTop 2 | 7 | 23.2K | 3.57% | +415% | 36/100 |
| #mcuTop 3 | 5 | 8.6K | 2.36% | +133% | 24/100 |
| #actors | 5 | 6.6K | 2.18% | +111% | 22/100 |
| #stranger things season 5 | 5 | 27.3K | 3.57% | +546% | 36/100 |
| #stranger things 5 | 5 | 27.3K | 3.57% | +546% | 36/100 |
| #avatar | 5 | 16K | 2.38% | -72% | 24/100 |
| #movies | 4 | 22.8K | 2.44% | +257% | 25/100 |
| #marvel | 4 | 8.6K | 2.46% | +100% | 25/100 |
| #recap | 4 | 5.1K | 3.07% | -1% | 31/100 |
| #actress | 4 | 3K | 4.82% | +100% | 48/100 |
| #avatar: fire and ash | 4 | 10.5K | 2.70% | +100% | 27/100 |
| #marvel studios | 3 | 4.9K | 3.13% | +25% | 31/100 |
| #the big bang theory | 3 | 9.4K | 2.07% | +100% | 21/100 |
| #volume 2 | 3 | 24.5K | 2.58% | +100% | 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