tub orion
@tuborion
Howto & Style11.7K
Video Count47.5M
Video View52.5K
Subscriber#6,187
Japan Rank#168,177
Global RankLoading channel statistics
General and Howto & Style ranking performance
General
Global
Japan
Howto & Style
Global
Japan
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
日本一長い鍾乳洞（総延長23.7k）安家洞（あっかどう）に潜入！
2.6K
Views
108
Likes
7
Comments
Opportunity for growth
青森県新郷村にある 新郷温泉館 食堂「わし亭」
97
Views
12
Likes
1
Comments
Analysis of 50 long-form videos
日本一長い鍾乳洞（総延長23.7k）安家洞（あっかどう）に潜入！
• Long videos make up 100% of total content
• Average performance: Better than channel average
• Most common duration: Medium (3-10 min)
Upload patterns and optimal timing insights
More Shorts are needed for analysis.
Content distribution across 5 main categories
Key performance indicators and trends
Lifestyle Sociology dominates with 60% of content
Hobby has highest avg views
Hobby shows strongest growth
Most used tags across 95 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #岩手県Top 1 | 16 | 495 | 6.26% | -41% | 63/100 |
| #探索Top 2 | 9 | 953 | 5.35% | -15% | 54/100 |
| #食べログTop 3 | 8 | 176 | 6.82% | -35% | 68/100 |
| #珍スポット | 7 | 661 | 6.35% | +44% | 64/100 |
| #グルメ | 7 | 175 | 7.43% | -36% | 74/100 |
| #珍しい | 6 | 424 | 8.73% | -36% | 87/100 |
| #ランチ | 6 | 180 | 6.67% | -39% | 67/100 |
| #青森県 | 5 | 223 | 9.42% | +100% | 94/100 |
| #廃墟探索 | 5 | 798 | 4.76% | +307% | 48/100 |
| #地図 | 5 | 1.3K | 5.51% | +98% | 55/100 |
| #廃墟 | 5 | 619 | 5.49% | +0% | 55/100 |
| #青森 | 4 | 730 | 6.30% | +100% | 63/100 |
| #八戸市 | 4 | 286 | 9.44% | +100% | 94/100 |
| #田子町 | 4 | 615 | 6.34% | +100% | 63/100 |
| #野田村 | 4 | 719 | 5.56% | -70% | 56/100 |
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