Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
Mahalakshmi | Flowers TV | EP #399
201.6K
Views
2.6K
Likes
232
Comments
Opportunity for growth
കള്ളന്റെ വെളിപാട്
471
Views
6
Likes
0
Comments
Analysis of 47 long-form videos
Mahalakshmi | Flowers TV | EP #399
• Long videos make up 94% of total content
• Average performance: Better than channel average
• Most common duration: Medium (3-10 min)
Upload patterns and optimal timing insights
Content distribution across 3 main categories
Key performance indicators and trends
Entertainment dominates with 34% of content
Television Program has highest avg views
Entertainment shows strongest growth
Most used tags across 706 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #sukhamodeviTop 1 | 58 | 38.9K | 1.28% | +10% | 13/100 |
| #flowers tvTop 2 | 50 | 26.4K | 1.23% | +22% | 13/100 |
| #flower tv malayalamTop 3 | 50 | 26.4K | 1.23% | +22% | 13/100 |
| #flowers serials | 50 | 26.4K | 1.23% | +22% | 13/100 |
| #flowers tv shows | 50 | 26.4K | 1.23% | +22% | 13/100 |
| #flowers comedy | 50 | 26.4K | 1.23% | +22% | 13/100 |
| #flowers serails | 50 | 26.4K | 1.23% | +22% | 13/100 |
| #reality television (tv genre) | 48 | 27.2K | 1.24% | +4% | 13/100 |
| #flowers | 48 | 27.2K | 1.24% | +4% | 13/100 |
| #koodathayi | 48 | 27.2K | 1.24% | +4% | 13/100 |
| #flowers comedy episode | 42 | 9.1K | 0.95% | +66% | 10/100 |
| #ithu item vere | 42 | 9.1K | 0.95% | +66% | 10/100 |
| #quiz show | 40 | 9.3K | 0.97% | +72% | 10/100 |
| #flowers smart show | 40 | 9.3K | 0.97% | +72% | 10/100 |
| #nandanam | 40 | 9.3K | 0.97% | +72% | 10/100 |
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