입질의추억TV jiminTV
@kimjimintv
Food1.1K
Video Count764.3M
Video View1.3M
Subscriber#899
South Korea Rank#44,126
Global RankLoading channel statistics
General and Food ranking performance
General
Global
South Korea
Food
Global
South Korea
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
당일조업 10kg 대방어라 홍보하더니 폐급을 보냈네..
816.5K
Views
6.7K
Likes
1.4K
Comments
Opportunity for growth
무조건 칭찬받는 소주, 밥도둑(입질의 추억 가성비 문어)
21.3K
Views
214
Likes
9
Comments
Analysis of 39 long-form videos
당일조업 10kg 대방어라 홍보하더니 폐급을 보냈네..
• Long videos make up 78% 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 5 main categories
Key performance indicators and trends
Food dominates with 40% of content
Hobby has highest avg views
Hobby shows strongest growth
Most used tags across 170 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #입질의추억Top 1 | 50 | 211.8K | 1.60% | -40% | 18/100 |
| #수산물Top 2 | 47 | 220.1K | 1.62% | -42% | 18/100 |
| #생선회Top 3 | 41 | 220K | 1.76% | -25% | 20/100 |
| #방어회 | 4 | 80.2K | 1.71% | +0% | 18/100 |
| #광어회 | 3 | 230.5K | 1.69% | -6% | 19/100 |
| #도미회 | 3 | 135.7K | 1.92% | +136% | 21/100 |
| #금태 | 3 | 172.8K | 1.72% | +38% | 19/100 |
| #도다리 | 3 | 249.4K | 1.36% | +0% | 16/100 |
| #수산시장 | 3 | 491.5K | 2.38% | +0% | 29/100 |
| #수산시장바가지 | 3 | 491.5K | 2.38% | +0% | 29/100 |
| #문어낙지 | 2 | 55.9K | 1.88% | -76% | 19/100 |
| #자연산도미 | 2 | 216.1K | 1.62% | +4% | 18/100 |
| #자연산광어 | 2 | 216.1K | 1.62% | +4% | 18/100 |
| #생선구이 | 2 | 165.4K | 1.58% | +78% | 17/100 |
| #쏨뱅이 | 2 | 175.6K | 1.57% | +52% | 17/100 |
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