RKR vines
@rkr_vines
871
Video Count4.0B
Video View12.4M
Subscriber#447
India Rank#1,749
Global RankGeneral and Entertainment ranking performance
General
Global
India
Entertainment
Global
India
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
Sandwich 🥪😱|| Part-2 @RKR_Vines #shorts #ytshorts #explore
10.4M
Views
123.2K
Likes
198
Comments
Opportunity for growth
मेरे साथ धोका हुआ 😤♥️ @R@RKR_Vinesshorts #ytshorts #explore
16.1K
Views
354
Likes
2
Comments
No long videos found (>1 minute duration)
Upload patterns and optimal timing insights
Content distribution across 3 main categories
Key performance indicators and trends
Entertainment dominates with 61% of content
Film has highest avg views
Food shows strongest growth
Most used tags across 615 tag instances
4 tags in category
9 tags in category
2 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #shortsTop 1 | 48 | 1M | 1.77% | -97% | 28/100 |
| #reelsTop 2 | 46 | 1.1M | 1.73% | -97% | 28/100 |
| #har har mahadevTop 3 | 44 | 1.1M | 1.73% | -97% | 28/100 |
| #trending shorts | 43 | 1.1M | 1.72% | -97% | 28/100 |
| #khatu shyam baba | 43 | 1.1M | 1.72% | -97% | 28/100 |
| #instagram reels | 43 | 1.1M | 1.74% | -96% | 29/100 |
| 42 | 1.1M | 1.73% | -97% | 29/100 | |
| #saurav joshi vlog | 42 | 1M | 1.70% | -97% | 27/100 |
| #elvish yadav vlog | 42 | 1M | 1.70% | -97% | 27/100 |
| #jay shree shyam | 41 | 1.2M | 1.71% | -97% | 29/100 |
| #ytshorts | 40 | 1.2M | 1.72% | -97% | 29/100 |
| #explore | 38 | 1M | 1.67% | -98% | 27/100 |
| #jay shree ram | 38 | 1.1M | 1.66% | -97% | 27/100 |
| #tiktok | 35 | 1.1M | 1.85% | -97% | 29/100 |
| #viral videos | 30 | 1M | 1.77% | -96% | 28/100 |
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