好棒Bump
@bumpbro
165
Video Count227.6M
Video View1.5M
Subscriber#112
Taiwan Rank#37,970
Global RankGeneral and Howto & Style ranking performance
General
Global
Taiwan
Howto & Style
Global
Taiwan
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
我被車手領走30萬！親自抓給你們看！【好棒Bump】
1.8M
Views
47.3K
Likes
2.6K
Comments
Opportunity for growth
聽說買賣球員卡就能賺錢？我一次競標10張看能賺多少！【好棒Bump】【球卡鍊金術】
387.5K
Views
5.6K
Likes
297
Comments
Analysis of 26 long-form videos
我被車手領走30萬！親自抓給你們看！【好棒Bump】
• Long videos make up 100% of total content
• Average performance: Better than channel average
• Most common duration: Long (10-30 min)
Upload patterns and optimal timing insights
More Shorts are needed for analysis.
Content distribution across 5 main categories
Key performance indicators and trends
Lifestyle Sociology dominates with 69% of content
Politics has highest avg views
Lifestyle Sociology shows strongest growth
Most used tags across 89 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #bumpTop 1 | 26 | 872.2K | 3.12% | +0% | 40/100 |
| #好棒bumpTop 2 | 26 | 872.2K | 3.12% | +0% | 40/100 |
| #詐騙Top 3 | 8 | 1.1M | 3.26% | +0% | 44/100 |
| #鍊金術 | 7 | 721.2K | 2.14% | +0% | 29/100 |
| #賺錢 | 3 | 768.7K | 1.92% | +0% | 27/100 |
| #虛擬貨幣 | 3 | 643.2K | 3.84% | +0% | 45/100 |
| #網紅 | 2 | 992K | 3.47% | +0% | 45/100 |
| #iphone | 2 | 536.8K | 2.68% | +0% | 32/100 |
| #抽獎 | 2 | 536.8K | 2.68% | +0% | 32/100 |
| #詐騙解碼 | 2 | 862.1K | 4.24% | +0% | 51/100 |
| #實測 | 2 | 888K | 2.56% | +0% | 34/100 |
| #解碼 | 2 | 1.3M | 2.92% | +0% | 42/100 |
| #車手 | 2 | 1.6M | 3.39% | +0% | 50/100 |
| #交易 | 1 | 394K | 2.02% | +0% | 24/100 |
| #nba | 1 | 387.5K | 1.51% | +0% | 19/100 |
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