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This page shows views, likes, comments, RPM and revenue estimates, publish timing, topic tags, related videos, and the broader channel context behind the video.
壯壯
@strong.strongSubscribers256K
Views252.5M
Videos455
Last updated11 hours ago
壯壯Published at April 24, 2026 at 01:23 PM27:31
![壯壯[精選]脫口秀合輯vol.12：這些觀眾太特別了欸?! 微軟 23嚴選 匿名投稿 毒舌7全台巡迴 thumbnail](https://img.cloutorbit.com/tube/video/U4PvFnLY8dU/thumbnail.jpeg)
壯壯[精選]脫口秀合輯vol.12：這些觀眾太特別了欸?! 微軟 23嚴選 匿名投稿 毒舌7全台巡迴
last monthLong-tail
vol
Published time
April 24, 2026 at 01:23 PM
Duration
27:31
Video type
Comedy Movies
Channel region
Taiwan
Publish Timing Insight
Not enough timing data
This channel still lacks enough historical upload timing data. Let the channel accumulate more snapshots before evaluating the best timing.
Monetization Insight
No clear monetization tags yet
Focus on view growth, engagement quality, and topic competition to judge monetization potential.
Action Suggestion
Watch for sustained growth
The basic conditions are already in place. Keep watching 7-day views and revenue before deciding whether this topic should become a series.
Views
73K
Likes
832
Comments
21
Estimated Daily Revenue
-
Estimated Total Revenue
$48.2 - $281.18
RPM Range
$0.66 - $3.85
1D Views Gain
0
7D Views Gain
0
1D Likes Gain
0
7D Likes Gain
0
1D Comments Gain
0
7D Comments Gain
0
Velocity Score
0%
Topic Cluster
vol
Video Description
---
追蹤壯壯社群最新消息
https://linktr.ee/strongstrong
#不羈夜 #單口喜劇 #壯壯 #壯壯脫口秀 #hashtag比內文長 #crowdwork #脫口秀 #站立喜劇 #壯壯毒舌脫口秀 #standupcomedy #人生難題的終極解答 #FAQ #看到這行你還不去買嗎 #看到這行你有病 #你有病沒關係我也有
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: vol
Not enough related-topic video data yet.
Video FAQs
These FAQs clarify what this video page measures, why revenue is estimated, and how to use the page for content research.
Why are RPM and revenue numbers estimates?
Actual earnings depend on monetized playbacks, audience geography, seasonality, advertiser demand, and monetization status. CloutOrbit provides directional estimates for benchmarking, not exact payouts.
How should you use this page for content research?
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