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zaobaosgPublished at May 25, 2026 at 08:58 AM2:42
巴士上有人高歌 是娱乐还是扰民?  #zaobaosg  #新加坡  #新加坡新闻  #singapore thumbnail

巴士上有人高歌 是娱乐还是扰民? #zaobaosg #新加坡 #新加坡新闻 #singapore

19 days agoLong-tail
singaporesgnews新加坡新加坡新闻zaobaosg singapore
Published time
May 25, 2026 at 08:58 AM
Duration
2:42
Video type
News & Politics
Channel region
Singapore
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
High RPM
This video sits in a relatively high RPM range, suggesting a more monetization-friendly topic.
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
22K
Likes
365
Comments
96
Estimated Daily Revenue
$0.08 - $0.47
Estimated Total Revenue
$15.87 - $92.6
RPM Range
$0.72 - $4.2
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
singapore
Video Description
一名来自新西兰的女歌手近日因在巴士上随机为乘客献唱而引发关注。遇到陌生乘客在公共交通工具上放声高歌,是令人放松的表演,还是对他人造成困扰的举动?来看看民众怎么说。 -- 立即加入《联合早报》Telegram和WhatsApp频道,获取即时新闻推送,方便掌握最新消息。 Telegram:https://t.me/zaobaosg WhatsApp:https://zb.sg/whatsapp 关注我们 Follow us: zaobao.sg FB:https://facebook.com/zaobaosg zaobao.sg Twitter:https://x.com/zaobaosg zaobao.sg Instagram:https://instagram.com/zaobaosg
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: singapore
Not enough related-topic video data yet.
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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.