Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
McDonalds vs Burger King
9.2M
Views
505.5K
Likes
422
Comments
Opportunity for growth
(secret)
0
Views
0
Likes
0
Comments
Analysis of 47 long-form videos
Monkey Magic BHAANGG High in Banaras ๐ณ
โข Long videos make up 94% of total content
โข Average performance: Lower than channel average
โข Most common duration: Long (10-30 min)
Upload patterns and optimal timing insights
Content distribution across 6 main categories
Key performance indicators and trends
Lifestyle Sociology dominates with 64% of content
Food has highest avg views
Lifestyle Sociology shows strongest growth
Most used tags across 328 tag instances
13 tags in category
1 tags in category
1 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #monkey magic secretTop 1 | 48 | 203.8K | 5.73% | +0% | 59/100 |
| #100 days secret channelTop 2 | 47 | 13.5K | 8.66% | +0% | 87/100 |
| #devenkoTop 3 | 47 | 13.5K | 8.66% | +0% | 87/100 |
| #daily hindi vlogs | 46 | 13.5K | 8.67% | +0% | 87/100 |
| #secret channel monkey magic | 45 | 13.5K | 8.67% | +0% | 87/100 |
| #monkey magic secret channel | 44 | 13.8K | 8.66% | +0% | 87/100 |
| #daily hindi blogs | 43 | 13.7K | 8.64% | +0% | 87/100 |
| #fat to fit | 1 | 36.1K | 6.80% | +0% | 68/100 |
| #home workout | 1 | 36.1K | 6.80% | +0% | 68/100 |
| #fitness | 1 | 36.1K | 6.80% | +0% | 68/100 |
| #cycling | 1 | 36.1K | 6.80% | +0% | 68/100 |
| #fat loss | 1 | 36.1K | 6.80% | +0% | 68/100 |
| #food review | 1 | 9.2M | 5.53% | +0% | 147/100 |
| #mcd vs burger king | 1 | 9.2M | 5.53% | +0% | 147/100 |
| #burger king vs mcdonalds | 1 | 9.2M | 5.53% | +0% | 147/100 |
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
