私はDくん
@d_kun7777
Pets & Animals778
Video Count231.3M
Video View263.0K
Subscriber#3,145
Japan Rank#101,404
Global RankLoading channel statistics
General and Pets & Animals ranking performance
General
Global
Japan
Pets & Animals
Global
Japan
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
なんやねんネコ
568.9K
Views
7.2K
Likes
83
Comments
Opportunity for growth
キショいが口癖のネコ【アフレコ】
6.6K
Views
666
Likes
34
Comments
Analysis of 50 long-form videos
なんやねんネコ
• 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 4 main categories
Key performance indicators and trends
Pet dominates with 53% of content
Entertainment has highest avg views
Entertainment shows strongest growth
Most used tags across 525 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #ネコTop 1 | 50 | 55.1K | 3.46% | +28% | 35/100 |
| #ねこTop 2 | 50 | 55.1K | 3.46% | +28% | 35/100 |
| #funny catTop 3 | 50 | 55.1K | 3.46% | +28% | 35/100 |
| #funny animal | 50 | 55.1K | 3.46% | +28% | 35/100 |
| #cat | 50 | 55.1K | 3.46% | +28% | 35/100 |
| #アフレコ | 50 | 55.1K | 3.46% | +28% | 35/100 |
| #アテレコ | 50 | 55.1K | 3.46% | +28% | 35/100 |
| #猫 | 50 | 55.1K | 3.46% | +28% | 35/100 |
| #口癖 | 37 | 61.3K | 3.25% | +61% | 33/100 |
| #meme | 19 | 46.6K | 3.55% | +13% | 36/100 |
| #ネコミーム | 18 | 48.5K | 3.49% | -1% | 35/100 |
| #猫ミーム | 18 | 48.5K | 3.49% | -1% | 35/100 |
| #ミーム | 17 | 48K | 3.43% | +19% | 35/100 |
| #可愛い | 8 | 39K | 5.15% | -36% | 52/100 |
| #かわいい | 8 | 39K | 5.15% | -36% | 52/100 |
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