General and Food ranking performance
General
Global
United States
Food
Global
United States
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
J. K. Simmons Eats His Last Meal
789.4K
Views
42K
Likes
1.8K
Comments
Opportunity for growth
Laura Bailey's house has GHOSTS
18.4K
Views
1.1K
Likes
9
Comments
Analysis of 48 long-form videos
J. K. Simmons Eats His Last Meal
• Long videos make up 96% of total content
• Average performance: Lower than channel average
• Most common duration: Short Long (1-3 min)
Upload patterns and optimal timing insights
Content distribution across 6 main categories
Key performance indicators and trends
Entertainment dominates with 32% of content
Society has highest avg views
Television Program shows strongest growth
Most used tags across 750 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #mythical kitchenTop 1 | 50 | 172.3K | 5.16% | -60% | 53/100 |
| #mythicalTop 2 | 50 | 172.3K | 5.16% | -60% | 53/100 |
| #chefTop 3 | 50 | 172.3K | 5.16% | -60% | 53/100 |
| #josh | 50 | 172.3K | 5.16% | -60% | 53/100 |
| #scherer | 50 | 172.3K | 5.16% | -60% | 53/100 |
| #food | 50 | 172.3K | 5.16% | -60% | 53/100 |
| #taste test | 50 | 172.3K | 5.16% | -60% | 53/100 |
| #recipe | 50 | 172.3K | 5.16% | -60% | 53/100 |
| #culinary | 50 | 172.3K | 5.16% | -60% | 53/100 |
| #cooking | 50 | 172.3K | 5.16% | -60% | 53/100 |
| #cook | 50 | 172.3K | 5.16% | -60% | 53/100 |
| #bake | 50 | 172.3K | 5.16% | -60% | 53/100 |
| #baking | 50 | 172.3K | 5.16% | -60% | 53/100 |
| #mythical chef josh | 50 | 172.3K | 5.16% | -60% | 53/100 |
| #good mythical kitchen | 50 | 172.3K | 5.16% | -60% | 53/100 |
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