コンカロンのマヌルネコとか
@konkaron
Entertainment440
Video Count4.7M
Video View7.8K
Subscriber#8,983
Japan Rank#233,769
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
家族のふり🐵PUNCH MAGIC☆
304.7K
Views
7.2K
Likes
76
Comments
Opportunity for growth
フィーガ王子とミンピ母ちゃん
650
Views
97
Likes
4
Comments
Analysis of 28 long-form videos
ナニゴト！？🐵パンチ無双☆
• Long videos make up 56% 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 3 main categories
Key performance indicators and trends
Entertainment dominates with 43% of content
Entertainment has highest avg views
Lifestyle Sociology shows strongest growth
Most used tags across 179 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #パンチくんTop 1 | 17 | 62K | 3.19% | -66% | 33/100 |
| #マヌルネコTop 2 | 16 | 4.3K | 6.25% | -66% | 63/100 |
| #manulTop 3 | 15 | 4.5K | 6.05% | -58% | 61/100 |
| #pallasscat | 14 | 4.8K | 6.10% | -60% | 61/100 |
| #動物 | 14 | 4.7K | 6.06% | -49% | 61/100 |
| #マヌルネコのうた | 14 | 4.7K | 6.24% | -69% | 62/100 |
| #манул | 13 | 5K | 6.01% | -62% | 60/100 |
| #癒し | 13 | 4.9K | 5.85% | -38% | 59/100 |
| #マヌールのゆうべ | 11 | 5K | 6.10% | -83% | 61/100 |
| #ライオン | 10 | 2.5K | 5.73% | +72% | 57/100 |
| #lion | 9 | 2.2K | 6.63% | -23% | 66/100 |
| #オリト | 9 | 2.2K | 6.63% | -23% | 66/100 |
| #レグルス | 8 | 2.2K | 6.36% | -26% | 64/100 |
| #otocolobusmanul | 8 | 6.3K | 5.60% | +0% | 56/100 |
| #felismanul | 8 | 6.3K | 5.60% | +0% | 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