VIRALGet your Viral Score
Category 4 · How much does YouTube pay?

How much does YouTube pay for 1 million views?

By the VIRAL AI team · Updated · 2 min read

The short answer

YouTube typically pays between $1,000 and $10,000 for 1 million long-form views, with most general channels earning around $2,000 to $5,000. High-RPM niches like finance, investing and software can exceed $10,000 to $20,000 per million views.

For Shorts, 1 million views usually earns around $20 to $100, sometimes more depending on the audience and music use. The difference is due to Shorts' pooled revenue model and lower ad rates. Long videos with mid-rolls, US or UK audiences and Q4 timing push earnings to the higher end. Sponsorships and affiliate income on million-view videos often exceed ad revenue.

Step-by-step plan

  1. Estimate earnings using your RPM × 1,000.
  2. Use mid-roll ads on longer videos.
  3. Focus on niches with high advertiser demand.
  4. Add sponsorships to high-view videos.
  5. Include affiliate offers relevant to the topic.

Why this works

YouTube pays from ad revenue, so earnings depend on RPM: what you keep per 1,000 views after YouTube's share. Long-form creators keep 55% of ad revenue and commonly see RPMs between about $1 and $10, with finance, software and business niches above that. Shorts share a pooled revenue model at 45% and usually earn a few cents per 1,000 views. Audience country, season, video length and how many views are monetized all move the number.

Common mistake to avoid

Assuming a million Shorts views pays like a million long-form views. Shorts earn a fraction per view.

Pro tip

When a video approaches a million views, update its description and pinned comment with your best offer and a link to the next video. Late-stage traffic keeps arriving, so optimising it pays for months.

Check it before you post

Don't guess why your video is stuck.

Upload it to VIRAL AI to get your Viral Score, predicted views, and instant hook fixes in 20 seconds. VIRAL checks your first three seconds, pacing, captions and on-screen text against patterns from high-performing YouTube videos, flags the exact moments viewers are likely to swipe away, and suggests stronger hooks you can film before you post. It is free to start on iPhone, Android and the web, so you can test every idea before it goes live.