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おかっぱめがねチャンネル
@okappamegane
Subscribers150K
Views64.3M
Videos925
おかっぱめがねチャンネルPublished at March 28, 2026 at 10:14 AM8:31
転職するので今の職場での、最後のお弁当一週間記録 thumbnail

転職するので今の職場での、最後のお弁当一週間記録

2 months agoLong-tail
転職するので今の職場での最後のお弁当一週間記録
Published time
March 28, 2026 at 10:14 AM
Duration
8:31
Video type
People & Blogs
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
40.2K
Likes
1.1K
Comments
42
Estimated Daily Revenue
$0.01 - $0.08
Estimated Total Revenue
$28.97 - $168.98
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
転職するので今の職場での
Video Description
楽天ルームにおすすめの使用品をまとめています https://room.rakuten.co.jp/okappamegane/items たいしたことつぶやいてませんが、ツイッターもやっております。 https://twitter.com/okappa__megane たいした写真はないですが、インスタグラムもやっております。 https://www.instagram.com/mame_okappa_megane たいした文章じゃないですが、ブログもやっております。 https://okappamegane.com
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: 転職するので今の職場での
Not enough related-topic video data yet.
Video FAQs

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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.