Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
Why They Killed Charlie…
837.4K
Views
104.1K
Likes
5.1K
Comments
Opportunity for growth
Conspiracy Theory Defending Tyler Robinson is the Most Destructive PSYOP to America in Our Lifetime
50.8K
Views
4K
Likes
615
Comments
Analysis of 50 long-form videos
Why They Killed Charlie…
• Long videos make up 100% of total content
• Average performance: Better than channel average
• Most common duration: Medium (3-10 min)
Upload patterns and optimal timing insights
More Shorts are needed for analysis.
Content distribution across 3 main categories
Key performance indicators and trends
Society dominates with 51% of content
Military has highest avg views
Society shows strongest growth
Most used tags across 705 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #benny johnsonTop 1 | 47 | 248.7K | 9.68% | +100% | 99/100 |
| #bennyTop 2 | 47 | 248.7K | 9.68% | +100% | 99/100 |
| #tpusaTop 3 | 47 | 248.7K | 9.68% | +100% | 99/100 |
| #charlie kirk | 47 | 248.7K | 9.68% | +100% | 99/100 |
| #steven crowder | 47 | 248.7K | 9.68% | +100% | 99/100 |
| #timcast | 47 | 248.7K | 9.68% | +100% | 99/100 |
| #brandon tatum | 47 | 248.7K | 9.68% | +100% | 99/100 |
| #breaking | 47 | 248.7K | 9.68% | +100% | 99/100 |
| #just in | 47 | 248.7K | 9.68% | +100% | 99/100 |
| #news | 47 | 248.7K | 9.68% | +100% | 99/100 |
| #politics | 47 | 248.7K | 9.68% | +100% | 99/100 |
| #cancelled | 47 | 248.7K | 9.68% | +100% | 99/100 |
| #woke | 47 | 248.7K | 9.68% | +100% | 99/100 |
| #go woke go broke | 47 | 248.7K | 9.68% | +100% | 99/100 |
| #trump | 47 | 248.7K | 9.68% | +100% | 99/100 |
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