あるあるチューブ
@aruarumada
Entertainment2.8K
Video Count7.5M
Video View31.3K
Subscriber#6,947
Japan Rank#186,725
Global RankLoading channel statistics
General and Entertainment ranking performance
General
Global
Japan
Entertainment
Global
Japan
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
良質なあるある集 #Shorts
7.9K
Views
29
Likes
0
Comments
Opportunity for growth
あるあるラジオ #283 2026.5.18
0
Views
0
Likes
0
Comments
Analysis of 33 long-form videos
良質なあるある集 #Shorts
• Long videos make up 66% of total content
• Average performance: Lower than channel average
• Most common duration: Short Long (1-3 min)
Upload patterns and optimal timing insights
Content distribution across 2 main categories
Key performance indicators and trends
Entertainment dominates with 93% of content
Humour has highest avg views
Entertainment shows strongest growth
Most used tags across 344 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #あるあるネタTop 1 | 50 | 2.1K | 1.50% | -1% | 15/100 |
| #睡眠用Top 2 | 50 | 2.1K | 1.50% | -1% | 15/100 |
| #大喜利Top 3 | 31 | 2.2K | 1.27% | +21% | 13/100 |
| #作業用 | 30 | 1.4K | 2.11% | +107% | 21/100 |
| #ラジオ | 30 | 1.4K | 2.11% | +107% | 21/100 |
| #あるあるチューブ | 27 | 1.4K | 2.04% | +113% | 20/100 |
| #ucehgejis4umz4mqgxg6zmua | 27 | 2.4K | 1.24% | +10% | 12/100 |
| #あるある | 23 | 1.7K | 2.02% | +57% | 20/100 |
| #暇つぶし | 20 | 1.9K | 2.00% | +31% | 20/100 |
| #共感 | 20 | 1.9K | 2.00% | +31% | 20/100 |
| #良質なあるある | 8 | 453 | 2.43% | -100% | 24/100 |
| #あるあるラジオ | 7 | 194 | 3.09% | -100% | 31/100 |
| #あるあるbot | 7 | 194 | 3.09% | -100% | 31/100 |
| #雑談 | 7 | 194 | 3.09% | -100% | 31/100 |
| #珍あるある | 7 | 194 | 3.09% | -100% | 31/100 |
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