グルメラボ【JAPAN】
@gourmet_lab_jp
Food1.0K
Video Count242.4M
Video View1.4M
Subscriber#607
Japan Rank#41,225
Global RankLoading channel statistics
General and Food ranking performance
General
Global
Japan
Food
Global
Japan
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
黒すぎるのに、なぜか優しい。京都の中華そば。
183K
Views
1.3K
Likes
31
Comments
Opportunity for growth
店員がバニーガールの話題の焼肉屋🐰🥩
746
Views
24
Likes
0
Comments
Analysis of 50 long-form videos
黒すぎるのに、なぜか優しい。京都の中華そば。
• Long videos make up 100% of total content
• Average performance: Better than channel average
• Most common duration: Short Long (1-3 min)
Upload patterns and optimal timing insights
More Shorts are needed for analysis.
Content distribution across 2 main categories
Key performance indicators and trends
Food dominates with 50% of content
Food has highest avg views
Food shows strongest growth
Most used tags across 85 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #グルメラボTop 1 | 22 | 35K | 0.88% | -60% | 9/100 |
| #japanesefoodTop 2 | 22 | 35K | 0.88% | -60% | 9/100 |
| #ラーメンTop 3 | 12 | 35.9K | 0.93% | -48% | 10/100 |
| #大阪グルメ | 10 | 41.2K | 0.81% | -50% | 9/100 |
| #町中華 | 4 | 36.7K | 0.82% | -40% | 9/100 |
| #弁当 | 2 | 16.3K | 1.20% | +100% | 12/100 |
| #中華料理 | 2 | 20.6K | 0.94% | +100% | 10/100 |
| #京都グルメ | 2 | 104.3K | 0.79% | -86% | 9/100 |
| #千葉グルメ | 2 | 19K | 1.06% | +0% | 11/100 |
| #大阪ラーメン | 2 | 52.7K | 0.79% | +0% | 8/100 |
| #東京グルメ | 1 | 12.7K | 1.49% | +100% | 15/100 |
| #屋台ラーメン | 1 | 12.7K | 1.49% | +100% | 15/100 |
| #コスパグルメ | 1 | 4.6K | 2.46% | +100% | 25/100 |
| #中国料理 | 1 | 18.5K | 0.68% | +100% | 7/100 |
| #麻婆豆腐 | 1 | 18.5K | 0.68% | +100% | 7/100 |
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