Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
DON’T EAT THAT #shorts
847.2K
Views
4K
Likes
8
Comments
Opportunity for growth
I BOUGHT LOGAN PAUL’S $17 MILLION POKÉMON CARD
163
Views
4
Likes
1
Comments
Analysis of 8 long-form videos
READ THE SIGNS #shorts
• Long videos make up 16% 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 8 main categories
Key performance indicators and trends
Entertainment dominates with 51% of content
Health has highest avg views
Video Game Culture shows strongest growth
Most used tags across 16 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #kia nalbandiTop 1 | 2 | 368 | 1.36% | +100% | 14/100 |
| #pokemonTop 2 | 1 | 163 | 3.07% | +100% | 31/100 |
| #logan paulTop 3 | 1 | 163 | 3.07% | +100% | 31/100 |
| #rich pokemon card | 1 | 163 | 3.07% | +100% | 31/100 |
| #collecting pokemon cards | 1 | 163 | 3.07% | +100% | 31/100 |
| #logan paul pokemon | 1 | 163 | 3.07% | +100% | 31/100 |
| #logan paul pokemon card | 1 | 163 | 3.07% | +100% | 31/100 |
| #logan paul 17 million card | 1 | 163 | 3.07% | +100% | 31/100 |
| #logan paul charizard | 1 | 163 | 3.07% | +100% | 31/100 |
| #17 million pokemon card | 1 | 163 | 3.07% | +100% | 31/100 |
| #most expensive pokemon card | 1 | 163 | 3.07% | +100% | 31/100 |
| #pokemon card investment | 1 | 163 | 3.07% | +100% | 31/100 |
| #pokemon cards | 1 | 163 | 3.07% | +100% | 31/100 |
| #rare pokemon cards | 1 | 163 | 3.07% | +100% | 31/100 |
| #logan paul charizard psa 10 | 1 | 163 | 3.07% | +100% | 31/100 |
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
