General and Kids & Family ranking performance
General
Global
Japan
Kids & Family
Global
Japan
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
【SGX08 シンカリオン 500こだま】おもちゃPV 新幹線変形ロボ シンカリオン 特別ダイヤ版 クロス合体
56.5K
Views
212
Likes
0
Comments
Opportunity for growth
TVアニメ『トミカとトム』シーズン2 OPテーマ曲フルバージョンPV 2026年7月5日(日)より放送スタート!
170
Views
5
Likes
0
Comments
Analysis of 50 long-form videos
【SGX08 シンカリオン 500こだま】おもちゃPV 新幹線変形ロボ シンカリオン 特別ダイヤ版 クロス合体
• 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 9 main categories
Key performance indicators and trends
Entertainment dominates with 30% of content
Hobby has highest avg views
Entertainment shows strongest growth
Most used tags across 669 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #takaratomyTop 1 | 90 | 7.9K | 0.78% | +100% | 8/100 |
| #タカラトミーTop 2 | 50 | 7.4K | 0.80% | +100% | 8/100 |
| #玩具Top 3 | 50 | 7.4K | 0.80% | +100% | 8/100 |
| #おもちゃ | 50 | 7.4K | 0.80% | +100% | 8/100 |
| #toy | 48 | 7.2K | 0.72% | +100% | 7/100 |
| #たからとみー | 47 | 7.7K | 0.78% | +100% | 8/100 |
| #オモチャ | 43 | 8.3K | 0.79% | +100% | 8/100 |
| #takara | 43 | 8K | 0.81% | +100% | 8/100 |
| #tomy | 43 | 8K | 0.81% | +100% | 8/100 |
| #toys | 39 | 8.4K | 0.70% | +100% | 7/100 |
| #タカラ | 36 | 9.1K | 0.70% | +100% | 7/100 |
| #トミー | 36 | 9.1K | 0.70% | +100% | 7/100 |
| #kids | 33 | 8.1K | 0.70% | +100% | 7/100 |
| #子ども向け | 31 | 8.8K | 0.67% | +100% | 7/100 |
| #子供 | 30 | 8.6K | 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