Analyze any YouTube channel and get a detailed estimate of its revenue, growth potential, and performance.
Three steps to a complete YouTube channel analysis
Enter your own numbers to calculate estimated YouTube revenue
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We use RPM (Revenue Per Mille) data based on the channel's detected niche, geographic audience, content type, and engagement metrics. These figures are derived from industry-standard benchmarks used by advertising platforms globally.
Channel statistics (subscribers, views, videos) are retrieved from the YouTube Data API v3, which is the official public data source. Revenue estimates are our proprietary calculations — they are not provided directly by YouTube.
Our estimates fall within a plausible range based on real market RPM data. Actual earnings vary based on advertiser demand, seasonal trends, individual channel contracts, and the portion of views that are monetized. We provide minimum, average, and maximum ranges to reflect this variability.
RPM (Revenue Per Mille) is the amount a creator earns per 1,000 video views. It varies widely — finance and business channels can earn $10–25 RPM, while gaming or entertainment channels typically see $2–5 RPM. Geography also plays a major role: US and UK audiences carry the highest RPM globally.
Focus on higher-RPM niches, target English-speaking audiences, create longer videos to increase ad placements, publish consistently, and diversify revenue streams through sponsorships, memberships, and affiliate marketing. Growing subscribers also improves your negotiating power for brand deals.
Yes, but significantly less than long-form videos. YouTube Shorts RPM is typically 92–95% lower than standard video RPM due to the ad model differences. Shorts are valuable for audience growth but should be supplemented with long-form content for meaningful ad revenue.
Yes, you can analyze any public YouTube channel. Channels that have hidden their subscriber counts will show limited statistics, but our revenue estimation is still performed based on available view data and engagement metrics.
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