General and Entertainment ranking performance
General
Global
Canada
Entertainment
Global
Canada
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
15 Scary Videos That Feel Too Real to Be Fake
34.3K
Views
1.6K
Likes
82
Comments
Opportunity for growth
Who’s Watching Her at 5AM?
3.2K
Views
158
Likes
2
Comments
Analysis of 29 long-form videos
15 Scary Videos That Feel Too Real to Be Fake
• Long videos make up 58% 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 4 main categories
Key performance indicators and trends
Entertainment dominates with 46% of content
Entertainment has highest avg views
Entertainment shows strongest growth
Most used tags across 354 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #chillsTop 1 | 50 | 12.9K | 5.58% | +54% | 56/100 |
| #scary videosTop 2 | 24 | 16.2K | 5.85% | +22% | 59/100 |
| #top15sTop 3 | 22 | 16.8K | 5.78% | +17% | 58/100 |
| #top 15s | 22 | 16.8K | 5.78% | +17% | 58/100 |
| #chills narrator | 22 | 16.8K | 5.78% | +17% | 58/100 |
| #top 15 | 22 | 16.8K | 5.78% | +17% | 58/100 |
| #top 10 | 22 | 16.8K | 5.78% | +17% | 58/100 |
| #top 5 | 22 | 16.8K | 5.78% | +17% | 58/100 |
| #caught on camera | 22 | 16.8K | 5.78% | +17% | 58/100 |
| #top 30 | 21 | 16.3K | 5.83% | -4% | 58/100 |
| #list | 21 | 16.3K | 5.83% | -4% | 58/100 |
| #lists | 21 | 16.3K | 5.83% | -4% | 58/100 |
| #countdown | 21 | 16.3K | 5.83% | -4% | 58/100 |
| #real or fake videos | 21 | 16.3K | 5.83% | -4% | 58/100 |
| #scary | 21 | 16.3K | 5.83% | -4% | 58/100 |
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