ANNnewsCH banner
ANNnewsCH avatar
ANNnewsCH
@annnewsch
Subscribers5M
Views5.8B
Videos134K
ANNnewsCHPublished at May 22, 2026 at 12:38 PM2:14
綾瀬はるか、腕が筋肉痛に…最近始めたトレーニングは 地元企業のアンバサダーに起用【グッド!モーニング】(2026年5月22日) thumbnail

綾瀬はるか、腕が筋肉痛に…最近始めたトレーニングは 地元企業のアンバサダーに起用【グッド!モーニング】(2026年5月22日)

15 days agoLong-tail
ニューステレビ朝日provided本編のみ■■2026
Published time
May 22, 2026 at 12:38 PM
Duration
2:14
Video type
News & Politics
Channel region
Japan
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
687
Likes
11
Comments
3
Estimated Daily Revenue
-
Estimated Total Revenue
$0.49 - $2.89
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
ニュース
Video Description
22日の「みんなのエンタメ検定」は、綾瀬はるかさん(41)に関する問題です。 (2026年5月22日放送分より) [テレ朝NEWS] https://news.tv-asahi.co.jp
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: ニュース
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.