General and Gaming ranking performance
General
Global
France
Gaming
Global
France
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
Tout le monde pensait que MÉGA-GALÉKING était nul mais...
231.1K
Views
9.4K
Likes
154
Comments
Opportunity for growth
L'inflation expliquée dans Pokérayou sur Minecraft
8.9K
Views
481
Likes
2
Comments
Analysis of 45 long-form videos
Tout le monde pensait que MÉGA-GALÉKING était nul mais...
• Long videos make up 90% 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 9 main categories
Key performance indicators and trends
Video Game Culture dominates with 35% of content
Casual Game has highest avg views
Role-playing Video Game shows strongest growth
Most used tags across 593 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #fildrongTop 1 | 50 | 42K | 6.07% | +30% | 61/100 |
| #stratégieTop 2 | 50 | 42K | 6.07% | +30% | 61/100 |
| #pokemonTop 3 | 50 | 42K | 6.07% | +30% | 61/100 |
| #pokémon | 50 | 42K | 6.07% | +30% | 61/100 |
| #écarlate | 45 | 41K | 6.30% | +41% | 63/100 |
| #violet | 45 | 41K | 6.30% | +41% | 63/100 |
| #9g | 45 | 41K | 6.30% | +41% | 63/100 |
| #légendes za | 45 | 41K | 6.30% | +41% | 63/100 |
| #za | 33 | 36.2K | 6.65% | +9% | 67/100 |
| #légendes | 33 | 36.2K | 6.65% | +9% | 67/100 |
| #z-a | 33 | 36.2K | 6.65% | +9% | 67/100 |
| #legends | 33 | 36.2K | 6.65% | +9% | 67/100 |
| #scarlet | 28 | 33.4K | 7.26% | +0% | 73/100 |
| #purple | 28 | 33.4K | 7.26% | +0% | 73/100 |
| #champions | 25 | 48.2K | 5.29% | +11% | 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