Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
WHAT Even ARE Gen 10's Starter Pokemon!?
301.6K
Views
19.2K
Likes
2.9K
Comments
Opportunity for growth
Krabby is Evolving #pokemon
5.3K
Views
507
Likes
28
Comments
Analysis of 39 long-form videos
WHAT Even ARE Gen 10's Starter Pokemon!?
• Long videos make up 78% of total content
• Average performance: Better than channel average
• Most common duration: Long (10-30 min)
Upload patterns and optimal timing insights
Content distribution across 10 main categories
Key performance indicators and trends
Video Game Culture dominates with 34% of content
Lifestyle Sociology has highest avg views
Role-playing Video Game shows strongest growth
Most used tags across 345 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #pokemonTop 1 | 44 | 40.5K | 8.86% | +20% | 89/100 |
| #pokemon originsTop 2 | 37 | 43.1K | 8.79% | +23% | 88/100 |
| #pokemon loreTop 3 | 37 | 43.1K | 8.79% | +23% | 88/100 |
| #pokemon design | 36 | 44K | 8.76% | +21% | 88/100 |
| #pokemon anime | 36 | 35.2K | 9.12% | +58% | 92/100 |
| #pokemon based on | 35 | 43.2K | 8.83% | +10% | 89/100 |
| #pokemon legends za | 24 | 38.8K | 9.08% | +0% | 91/100 |
| #pokemon legends | 20 | 28.6K | 9.84% | +0% | 99/100 |
| #pokemon legends z-a | 15 | 37.1K | 9.38% | +0% | 94/100 |
| #mega evolution | 14 | 43.6K | 9.02% | +0% | 91/100 |
| #pokemon theory | 11 | 36.4K | 10.38% | +54% | 104/100 |
| #mandjtv | 11 | 31.4K | 10.18% | +0% | 102/100 |
| #pokemon memes | 9 | 27.2K | 8.05% | -8% | 81/100 |
| #pokemon meme | 8 | 20.3K | 9.24% | +30% | 93/100 |
| #worst pokemon | 8 | 40.3K | 9.63% | +57% | 97/100 |
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
