Ad Revenue RPM Calculator
RPM ties revenue, impressions, and rate together in one formula. Give this any two of the three and it solves for whichever one you're missing.
RPM is revenue per thousand impressions, so revenue equals impressions divided by 1,000, times your RPM. A $5 RPM across 200,000 impressions comes to $1,000. Flip the mode to solve for the RPM you're actually getting or the impressions you'd need to hit an income goal — real RPMs vary widely by niche, season, and audience region.
How it works
RPM stands for revenue per mille — your earnings for every thousand impressions. The core formula is revenue equals impressions divided by 1,000, times RPM. A $5 RPM across 200,000 impressions works out to a clean $1,000.
Flip the mode to answer the question you actually have. Know your revenue and impressions but not your rate? Solve for RPM. Chasing an income target at a known RPM? Back out how many impressions you'd need to reach it.
It's the go-to metric for publishers and creators because it folds fill rate and click-through into a single number you can compare across pages and platforms. The math runs in your browser, and real RPMs swing widely by niche, season, and audience region — so lean on your own dashboard figures where you can.
Frequently asked questions
How is RPM different from CPM?
CPM is what an advertiser pays per thousand impressions of their ad. RPM is what you, the publisher, actually earn per thousand impressions of your content, after the ad network's cut and factoring in unfilled or non-monetized views. RPM is always the number that reaches your pocket.
What counts as a good RPM?
It depends heavily on your niche and audience. Finance, insurance, and legal content can post double-digit RPMs, while gaming or general entertainment often sits lower. The most useful benchmark is your own past performance, not a global average.
Why does my RPM change month to month?
Advertiser demand rises and falls with the calendar — Q4 and the holidays typically lift rates, then January dips. Audience geography, seasonality, and shifts in ad inventory all move the number, which is why a single-month figure can mislead.