Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
bts comeback d-day!! π @BTS #bts_arirang
504.1K
Views
25.8K
Likes
197
Comments
Opportunity for growth
π WARDROBE TOUR & REVIEW: Part 1 Dresses | keep, upcycle, donate
1.1K
Views
103
Likes
8
Comments
Analysis of 7 long-form videos
bts comeback d-day!! π @BTS #bts_arirang
β’ Long videos make up 14% of total content
β’ Average performance: Better than channel average
β’ Most common duration: Short Long (1-3 min)
Upload patterns and optimal timing insights
Content distribution across 11 main categories
Key performance indicators and trends
Lifestyle Sociology dominates with 31% of content
Film has highest avg views
Lifestyle Sociology shows strongest growth
Most used tags across 160 tag instances
14 tags in category
1 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #fashionTop 1 | 13 | 7.9K | 7.01% | +0% | 70/100 |
| #nava roseTop 2 | 12 | 7.4K | 7.03% | +0% | 70/100 |
| #diy clothesTop 3 | 11 | 7.9K | 6.99% | +0% | 70/100 |
| #diy | 11 | 7.9K | 6.99% | +0% | 70/100 |
| #nava rose diy | 11 | 7.9K | 6.99% | +0% | 70/100 |
| #thrift | 11 | 7.9K | 6.99% | +0% | 70/100 |
| #sewing | 11 | 7.9K | 6.99% | +0% | 70/100 |
| #zaful | 10 | 8.4K | 6.88% | +0% | 69/100 |
| #fashion nova haul | 10 | 8.4K | 6.88% | +0% | 69/100 |
| #storytime | 10 | 8.4K | 6.88% | +0% | 69/100 |
| #bts inspired outfits | 10 | 8.4K | 6.88% | +0% | 69/100 |
| #thrifty haul | 10 | 8.4K | 6.88% | +0% | 69/100 |
| #how to distress shorts | 10 | 8.4K | 6.88% | +0% | 69/100 |
| #makeup | 10 | 8.4K | 6.88% | +0% | 69/100 |
| #wedding dress | 10 | 8.4K | 6.88% | +0% | 69/100 |
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