Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
This is the LAST Dhar Mann video ever...
609.3K
Views
19K
Likes
1.6K
Comments
Opportunity for growth
Teen Falls In Love With a DYING Girl
35.9K
Views
2.2K
Likes
401
Comments
Analysis of 50 long-form videos
This is the LAST Dhar Mann video ever...
• 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 7 main categories
Key performance indicators and trends
Lifestyle Sociology dominates with 55% of content
Film has highest avg views
Lifestyle Sociology shows strongest growth
Most used tags across 334 tag instances
14 tags in category
1 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #sssniperwolfTop 1 | 50 | 148.9K | 4.20% | +9% | 43/100 |
| #sniper wolfTop 2 | 50 | 148.9K | 4.20% | +9% | 43/100 |
| #reactingTop 3 | 50 | 148.9K | 4.20% | +9% | 43/100 |
| #reaction | 50 | 148.9K | 4.20% | +9% | 43/100 |
| #funny | 49 | 151.3K | 4.19% | +6% | 43/100 |
| #tiktok | 15 | 114.9K | 4.78% | +59% | 49/100 |
| #tik tok | 14 | 118.5K | 4.71% | +53% | 48/100 |
| #sssniperwolf dhar mann | 13 | 172.3K | 4.07% | -21% | 42/100 |
| #dhar mann | 13 | 172.3K | 4.07% | -21% | 42/100 |
| #tiktok memes | 9 | 123.4K | 4.41% | +58% | 45/100 |
| #memes | 9 | 130.6K | 4.22% | +52% | 44/100 |
| #diy | 3 | 198K | 3.64% | -56% | 38/100 |
| #weird | 3 | 134.9K | 3.62% | +113% | 38/100 |
| #google maps | 3 | 134.9K | 3.62% | +113% | 38/100 |
| #weird things spotted on google maps | 3 | 134.9K | 3.62% | +113% | 38/100 |
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