Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
Last to leave VC wins $25,000
12.2M
Views
260K
Likes
10.4K
Comments
Opportunity for growth
Best of Last to Leave VC
332.3K
Views
21.2K
Likes
940
Comments
Analysis of 50 long-form videos
Last to leave VC wins $25,000
• Long videos make up 100% 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 51% of content
Action Game has highest avg views
Humour shows strongest growth
Most used tags across 206 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #discordTop 1 | 29 | 3M | 4.27% | +0% | 72/100 |
| #isaacwhyTop 2 | 25 | 3M | 4.28% | +0% | 73/100 |
| #discord memesTop 3 | 21 | 3.1M | 4.25% | +0% | 74/100 |
| #discord trolling | 20 | 3.1M | 4.34% | +0% | 75/100 |
| #funny discord | 16 | 3.6M | 4.09% | +0% | 77/100 |
| #discord server | 16 | 3.2M | 4.56% | +0% | 78/100 |
| #memes | 15 | 3.1M | 4.48% | +0% | 76/100 |
| #discord meme | 14 | 3.1M | 4.64% | +0% | 77/100 |
| #try not to laugh | 9 | 2.5M | 4.47% | +0% | 69/100 |
| #softwilly | 7 | 3.3M | 4.01% | +0% | 73/100 |
| #discord video | 7 | 4M | 3.18% | +0% | 72/100 |
| #isaacwhy meme | 7 | 4M | 3.18% | +0% | 72/100 |
| #discord funny | 7 | 3.5M | 3.55% | +0% | 71/100 |
| #meme | 7 | 3.3M | 3.69% | +0% | 70/100 |
| #you laugh you lose | 6 | 3.3M | 3.32% | +0% | 67/100 |
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


![Last to Leave VC wins $100,000 [Part 2]](https://i.ytimg.com/vi/YT2-mUsT8LA/hqdefault.jpg)


Peak performance metrics across all categories
Top performers across multiple categories



Performance analysis and recommendations