東森新聞 CH51 banner
東森新聞 CH51 avatar
東森新聞 CH51
@newsebc
Subscribers3.2M
Views3.6B
Videos109.8K
東森新聞 CH51Published at June 5, 2026 at 11:19 AM2:24
最新》曾持刀威脅拘役10天!眼鏡行少東砍郵局外包司機@newsebc thumbnail

最新》曾持刀威脅拘役10天!眼鏡行少東砍郵局外包司機@newsebc

yesterdayPeak window
劉姓嫌犯卸貨區命案持刀命案調查噪音投訴news
Published time
June 5, 2026 at 11:19 AM
Duration
2:24
Video type
News & Politics
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
2.4K
Likes
21
Comments
23
Estimated Daily Revenue
-
Estimated Total Revenue
$1.61 - $9.39
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
劉姓嫌犯
Video Description
苗栗竹南郵局發生一起命案,一名劉姓男子因不滿郵局裝卸貨物的噪音,持刀襲擊並殺害了一名外包司機。郵局曾多次採取措施降低噪音,包括鋪設橡膠軟墊並降低裝卸音量,但劉男仍多次投訴甚至提告。究竟行凶動機為何,仍有待進一步調查。
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: 劉姓嫌犯
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.

What can you learn from this video analytics page?

This page shows views, likes, comments, RPM and revenue estimates, publish timing, topic tags, related videos, and the broader channel context behind the video.

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?

Compare timing, topic tags, monetization signals, and adjacent videos from the same channel to spot formats, themes, and publishing patterns worth testing.