がみ
@tsubasa6417
Howto & Style1.8K
Video Count180.0M
Video View253.0K
Subscriber#3,225
Japan Rank#102,989
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
【東京→函館】東北・北海道新幹線の終電で北海道行ったら最高すぎた！
140.9K
Views
2.4K
Likes
166
Comments
Opportunity for growth
1日2回しか聞けない！新幹線の激レア車内放送！
1.2K
Views
0
Likes
0
Comments
Analysis of 41 long-form videos
【東京→函館】東北・北海道新幹線の終電で北海道行ったら最高すぎた！
• Long videos make up 82% 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
Lifestyle Sociology dominates with 84% of content
Lifestyle Sociology has highest avg views
Tourism shows strongest growth
Most used tags across 560 tag instances
14 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #鉄道Top 1 | 40 | 50.6K | 2.76% | -42% | 28/100 |
| #旅行Top 2 | 40 | 50.6K | 2.76% | -42% | 28/100 |
| #国内旅行Top 3 | 40 | 50.6K | 2.76% | -42% | 28/100 |
| #新幹線 | 40 | 50.6K | 2.76% | -42% | 28/100 |
| #私鉄 | 40 | 50.6K | 2.76% | -42% | 28/100 |
| #特急 | 40 | 50.6K | 2.76% | -42% | 28/100 |
| #電車 | 40 | 50.6K | 2.76% | -42% | 28/100 |
| #鉄オタ | 40 | 50.6K | 2.76% | -42% | 28/100 |
| #train | 40 | 50.6K | 2.76% | -42% | 28/100 |
| #tokyo | 40 | 50.6K | 2.76% | -42% | 28/100 |
| #travel | 40 | 50.6K | 2.76% | -42% | 28/100 |
| #bullet train | 40 | 50.6K | 2.76% | -42% | 28/100 |
| #railway | 40 | 50.6K | 2.76% | -42% | 28/100 |
| #station | 40 | 50.6K | 2.76% | -42% | 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