시바견 곰이탱이여우 Shiba GTY
@shibas
2.4K
Video Count599.6M
Video View743.0K
Subscriber#1,656
South Korea Rank#62,972
Global RankGeneral and Pets & Animals ranking performance
General
Global
South Korea
Pets & Animals
Global
South Korea
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
아기 강아지 참교육 현장 #시바견 #진돗개 #곰이탱이여우
373.7K
Views
3.1K
Likes
100
Comments
Opportunity for growth
탱이가 좋아하는 당근 사주세요🥕🥕
0
Views
4
Likes
0
Comments
Analysis of 22 long-form videos
누가 우리 여우보고 바보라고 했어요?! #천재견탄생 #시바견 #여우
• Long videos make up 44% of total content
• Average performance: Lower than channel average
• Most common duration: Long (10-30 min)
Upload patterns and optimal timing insights
Content distribution across 3 main categories
Key performance indicators and trends
Pet dominates with 57% of content
Pet has highest avg views
Lifestyle Sociology shows strongest growth
Most used tags across 345 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #시바Top 1 | 23 | 15.5K | 4.74% | +80% | 48/100 |
| #시바견Top 2 | 23 | 15.5K | 4.74% | +80% | 48/100 |
| #시바견 곰이Top 3 | 23 | 15.5K | 4.74% | +80% | 48/100 |
| #시바견 탱이 | 23 | 15.5K | 4.74% | +80% | 48/100 |
| #곰탱이 | 23 | 15.5K | 4.74% | +80% | 48/100 |
| #곰이 | 23 | 15.5K | 4.74% | +80% | 48/100 |
| #탱이 | 23 | 15.5K | 4.74% | +80% | 48/100 |
| #shiba | 23 | 15.5K | 4.74% | +80% | 48/100 |
| #shibainu | 23 | 15.5K | 4.74% | +80% | 48/100 |
| #shibadog | 23 | 15.5K | 4.74% | +80% | 48/100 |
| #pet | 23 | 15.5K | 4.74% | +80% | 48/100 |
| #dog | 23 | 15.5K | 4.74% | +80% | 48/100 |
| #댕댕이 | 23 | 15.5K | 4.74% | +80% | 48/100 |
| #귀여운댕댕이 | 23 | 15.5K | 4.74% | +80% | 48/100 |
| #강아지 | 23 | 15.5K | 4.74% | +80% | 48/100 |
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