Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
The Real Story Behind Panjurli & Guliga | India’s Spirit Guardians
111.6K
Views
2.8K
Likes
64
Comments
Opportunity for growth
Hidden Goddesses of Ancient India
4.8K
Views
321
Likes
12
Comments
Analysis of 43 long-form videos
The Real Story Behind Panjurli & Guliga | India’s Spirit Guardians
• Long videos make up 86% 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
Religion dominates with 46% of content
Film has highest avg views
Knowledge shows strongest growth
Most used tags across 207 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #raaazTop 1 | 79 | 23.8K | 4.05% | -21% | 41/100 |
| #indian mythologyTop 2 | 18 | 23.9K | 4.07% | -22% | 41/100 |
| #hindu mythologyTop 3 | 15 | 25.7K | 4.02% | -29% | 40/100 |
| #raaaz youtube channel | 15 | 38.1K | 3.59% | +0% | 36/100 |
| #bigbrainco. | 15 | 37.4K | 3.62% | +0% | 37/100 |
| #sanatan dharma | 10 | 10.2K | 5.68% | +140% | 57/100 |
| #mahabharat | 10 | 22.6K | 4.00% | +0% | 40/100 |
| #vishnu | 8 | 17.5K | 4.60% | -42% | 46/100 |
| #vishnu avatars | 6 | 12.4K | 5.69% | +193% | 57/100 |
| #indian history | 6 | 29.4K | 4.21% | +0% | 42/100 |
| #vishnu avatar | 5 | 26.2K | 3.98% | -65% | 40/100 |
| #ramayana | 5 | 10.3K | 5.77% | +0% | 58/100 |
| #indra dev | 5 | 49K | 3.22% | +0% | 33/100 |
| #hindu mythology explained | 5 | 7.8K | 6.08% | +0% | 61/100 |
| #hindu gods | 5 | 31.1K | 3.83% | +0% | 39/100 |
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
