Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
We tried every WILD flavor at NYC's First Tiramisu Cafe
11K
Views
227
Likes
2
Comments
Opportunity for growth
Padma Lakshmi Dishes on Her Most Chaotic 'Top Chef' Moment
414
Views
20
Likes
2
Comments
Analysis of 13 long-form videos
JT Won’t Block Other Artists—But She May Mute Them | Suck It Up | Delish
• Long videos make up 26% of total content
• Average performance: Lower than channel average
• Most common duration: Very Long (30+ min)
Upload patterns and optimal timing insights
Content distribution across 6 main categories
Key performance indicators and trends
Lifestyle Sociology dominates with 35% of content
Hobby has highest avg views
Lifestyle Sociology shows strongest growth
Most used tags across 428 tag instances
14 tags in category
1 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #delishTop 1 | 43 | 3.9K | 3.27% | -83% | 33/100 |
| #kitchen lessonsTop 2 | 42 | 3.9K | 3.16% | -84% | 32/100 |
| #foodTop 3 | 42 | 3.9K | 3.16% | -84% | 32/100 |
| #recipes | 42 | 3.9K | 3.16% | -84% | 32/100 |
| #how to | 42 | 3.9K | 3.16% | -84% | 32/100 |
| #how - to | 42 | 3.9K | 3.16% | -84% | 32/100 |
| #food hacks | 42 | 3.9K | 3.16% | -84% | 32/100 |
| #cooking | 42 | 3.9K | 3.16% | -84% | 32/100 |
| #cook | 42 | 3.9K | 3.16% | -84% | 32/100 |
| #delish recipe | 42 | 3.9K | 3.16% | -84% | 32/100 |
| #suck it up | 2 | 4.2K | 8.88% | +0% | 89/100 |
| #suck it up delish | 2 | 4.2K | 8.88% | +0% | 89/100 |
| #delish magazine | 1 | 1.2K | 17.30% | +0% | 173/100 |
| #delish video | 1 | 1.2K | 17.30% | +0% | 173/100 |
| #delish mag | 1 | 1.2K | 17.30% | +0% | 173/100 |
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
