YouTube Video Earnings Calculator
Estimate how much a YouTube video can earn using real public data, engagement signals, and realistic CPM & RPM benchmarks. Instantly calculate YouTube revenue per 1,000 views without login.
Updated March 2026 · Educational revenue modeling based on industry benchmarks
YouTube Video Earnings Estimator
Educational estimates based on public YouTube data and conservative RPM benchmarks.
Demo example loaded · Replace the URL below to calculate your own video
Supports youtube.com & youtu.be · Public videos only
Built for creators · Uses public data · No login required
Example: How Much Can a YouTube Video Earn?
Imagine a YouTube video reaches 1,000,000 views. If the estimated RPM (Revenue Per 1,000 views) is $4, total revenue would be calculated as:
(1,000,000 ÷ 1,000) × $4 = $4,000
In higher-value niches such as finance or software, RPM may reach$8 or more. In that case:
(1,000,000 ÷ 1,000) × $8 = $8,000
However, if audience geography skews toward lower-CPM regions or monetization eligibility is limited, RPM could fall to $2–$3, reducing total earnings substantially.
This example highlights why niche selection, audience location, engagement rate, and advertiser demand directly influence YouTube revenue per 1,000 views.
How This YouTube Video Earnings Calculator Works
Public Video Data
The calculator uses publicly available YouTube statistics, including total views, likes, comments, and publishing date to estimate monetization performance.
CPM Benchmarks
Industry CPM ranges are applied based on content category and advertiser demand to approximate potential revenue generation.
RPM Modeling
RPM reflects estimated creator earnings after YouTube’s revenue share, ad fill rate, and monetization eligibility.
Engagement Signals
Engagement metrics help refine revenue estimates, since stronger viewer interaction often correlates with improved ad performance.
CPM vs RPM on YouTube: Understanding the Difference
CPM (Cost Per Mille) refers to the amount advertisers pay for 1,000 ad impressions. CPM fluctuates based on niche, audience location, advertiser competition, and seasonal demand.
RPM (Revenue Per Mille) represents what a creator actually earns per 1,000 views after YouTube’s revenue share and monetization factors such as ad fill rate, watch time, and viewer behavior.
Since not every view displays an ad — and YouTube retains a portion of advertising revenue — RPM is always lower than CPM. For example, a $10 CPM might translate into a $4–$6 RPM depending on audience quality and monetization performance.
Understanding the difference between CPM and RPM is essential when estimating how much a YouTube video can earn.
How Audience Location Impacts YouTube Video Earnings
One of the biggest factors affecting YouTube video earnings is audience location. Advertisers pay different rates depending on country, industry competition, and purchasing power.
Viewers from Tier-1 countries such as the United States, Canada, United Kingdom, and Australia typically generate higher CPM (Cost Per Mille) rates. As a result, creators targeting these markets often see significantly higher RPM (Revenue Per Mille).
In contrast, traffic from regions with lower advertiser demand may result in reduced monetized revenue per 1,000 views. The same video can earn 2–3× more depending purely on geographic audience distribution.
This is why audience demographics, language, niche selection, and content positioning directly influence YouTube monetization potential. A globally optimized content strategy can materially improve long-term revenue performance.
Who Uses a YouTube Video Earnings Calculator?
- YouTube creators estimating potential revenue per video
- Brands evaluating influencer marketing ROI
- Agencies forecasting campaign profitability
- Researchers analyzing YouTube monetization benchmarks
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Disclaimer: The YouTube video earnings calculator provides educational revenue estimates based on publicly available YouTube data and industry monetization benchmarks. Statly is not affiliated with YouTube or Google. Actual earnings depend on monetization eligibility, audience demographics, advertiser demand, ad formats, content category, and platform policies.