Blog Advertising Revenue Calculator
What your blog could earn.
Calculate blog advertising revenue from pageviews and CPM rate, across different ad networks and ads-per-page densities.
What this tool does
This calculator estimates blog advertising revenue from three inputs: monthly pageviews, ads displayed per page, and the rate paid per thousand impressions. It multiplies pageviews by ads per page to give monthly impressions, divides by a thousand and applies the rate to give monthly revenue, annualises at twelve times that figure, and reports revenue per pageview. All three inputs multiply together, so each moves the result proportionally and any one is interchangeable with the others: doubling pageviews, ad count or rate each produce the same total. Revenue per pageview behaves differently, since pageview volume cancels out of it, which makes it the figure for comparing networks or page layouts while monthly revenue compares traffic. The rate to enter is the publisher-side one, already net of the network's revenue share, since an advertiser-side rate overstates the result. The model assumes constant rates and uniform ad delivery, and excludes ad blocking, viewability, seasonality, audience geography and the diminishing value of additional placements.
Quick answer: with the default values, the result is $1,000.00 (Monthly Ad Revenue). Adjust the values below for your own figures.
Enter Values
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Formula Used
Disclaimer
Results are estimates for educational purposes only. They do not constitute financial advice. Consult a qualified professional before making financial decisions.
Blog ad revenue comes down to three numbers: pageviews, how many ad slots each page carries, and the rate paid per thousand impressions. The calculator multiplies the first two into monthly impressions and applies the rate, then annualises. It also reports revenue per pageview, which is the figure that compares one setup against another regardless of traffic size.
The rate to enter is the publisher-side one. Google documents that publishers receive 80% of AdSense for Content revenue after the advertiser platform takes its fee, and about 68% where advertisers buy through Google Ads, with an effective cost per mille paid to the publisher for advertiser bids. A dashboard figure is therefore already net of that share, while a rate quoted from the advertiser’s side is not, and entering the latter overstates the result by roughly a quarter to a half.
Rates differ widely by content category and audience location, and by the tier of network a site qualifies for. Sites typically start on a self-serve network and move to a managed one once traffic clears a minimum, which is usually quoted in sessions rather than pageviews. That distinction matters here, because this calculator takes pageviews, and a session generally contains more than one of them, so a site meeting a session threshold has more pageviews than the threshold number.
Quick example
With monthly pageviews of 50,000 and a CPM rate of 10 across 2 ads per page, the calculator returns 100,000 monthly impressions, 1,000 a month and 12,000 a year, at a revenue per pageview of 0.02. Raising the rate to 25 without changing anything else gives 2,500 a month, 30,000 a year and 0.05 per pageview.
Which inputs matter most
All three inputs multiply together, so each moves monthly revenue proportionally and any one is interchangeable with the others. Doubling pageviews to 100,000, doubling ads per page to 4, and doubling the CPM to 20 all return exactly the same 2,000 a month. Nothing in the model ranks traffic above rate or ad density.
Revenue per pageview separates them. It is ads per page multiplied by the rate and divided by a thousand, so pageview volume cancels out of it entirely: 50,000 pageviews and 100,000 pageviews both show 0.02 on the loaded settings, while doubling either the rate or the ad count moves it to 0.04. That makes it the figure to watch when comparing networks or page layouts, and monthly revenue the figure to watch when comparing traffic. At very low rates it rounds to zero on screen, which is a display artefact rather than a result.
What's happening under the hood
Monthly impressions are pageviews multiplied by ads per page. Monthly revenue is impressions divided by a thousand, multiplied by the rate. Annual revenue is twelve times the monthly figure, and revenue per pageview is monthly revenue divided by pageviews.
Worked example
Suppose a technology blog receives 120,000 pageviews per month, displays 3 ads per page, and works with an ad network paying 18 per 1000 impressions.
- Total impressions: 120,000 × 3 = 360,000
- Monthly revenue: (360,000 ÷ 1000) × 18 = 6,480
- Annual run rate: 6,480 × 12 = 77,760
- Revenue per pageview: 6,480 ÷ 120,000 = 0.05
If the blog later migrates to a higher-paying network at 35 CPM, the monthly figure moves to 12,600 and the annual run rate to 151,200, a shift driven entirely by the rate input while traffic and ad count remain constant. Revenue per pageview moves from 0.05 to 0.11 across the same change.
Common scenarios
Early-stage blog (10,000 monthly pageviews, 1 ad per page, 2 CPM): Monthly revenue of 20, or 240 a year, at a revenue per pageview that rounds to zero on screen. Traffic volume is the binding constraint at this stage rather than the rate.
Established blog (75,000 monthly pageviews, 2 ads per page, 12 CPM): Monthly revenue of 1,800, or 21,600 a year, at 0.02 per pageview. This is the point at which network tier and traffic stability start to move the total more than incremental page changes.
Niche authority site (200,000 monthly pageviews, 3 ads per page, 28 CPM): Monthly revenue of 16,800, or 201,600 a year, at 0.08 per pageview. Here the rate and the ad layout carry more of the result than further traffic growth would.
What the result shows and doesn't show
The calculator models revenue from three discrete inputs and shows the mathematical relationship between traffic volume, ad density and rate. It is a gross ceiling on those inputs rather than a payout figure.
It does not account for:
- Variation in the rate across months or seasons
- Ad viewability rates or blocked impressions
- Click-through rates or affiliate income
- Platform algorithm changes or traffic volatility
- Audience demographics or geographic distribution
- Competition within ad networks or inventory scarcity
Ad density in particular is treated more generously than reality allows: each placement is valued equally, whereas placements further down a page attract fewer bids and are seen by fewer visitors, so the contribution of the third and fourth slots is overstated. Page experience and search performance also tend to move in the opposite direction to ad density, which is a cost the arithmetic does not carry.
For educational use
This calculator demonstrates how blog revenue models function. Results are estimates derived from the figures supplied. Actual ad revenue varies with factors outside the scope of this tool, and the rate entered is the single input most likely to differ from what an account reports.
From 50,000 monthly pageviews carrying 2 ads each at a $10 rate per thousand impressions, monthly ad revenue is $1,000.00, shown alongside the annual figure, total monthly impressions, the rate applied and revenue per pageview.
Inputs
| Annual Revenue | $12,000.00 |
|---|---|
| Monthly Impressions | 100000 |
| CPM Rate | $10.00 |
| Revenue per Pageview | $0.02 |
This example uses sample figures for illustration. Adjust the inputs above to match a specific situation and see how the result changes.
Sources & Methodology
Methodology
The calculator multiplies monthly pageviews by ads per page to give total monthly impressions, divides that by 1,000 and multiplies by the rate per thousand impressions to give monthly revenue, multiplies by twelve for the annual figure, and divides monthly revenue by pageviews to give revenue per pageview. Because all three inputs are multiplied, each is proportional in effect and any one is interchangeable with the others, while revenue per pageview reduces to ads per page times the rate divided by a thousand, with pageview volume cancelling out. The rate is taken as an input rather than assumed, and is intended as the publisher-side effective rate already net of the network's revenue share: Google documents publishers receiving 80% of AdSense for Content revenue after the advertiser platform fee, and about 68% where advertisers buy through Google Ads. The model assumes a constant rate across the period, uniform ad placement across all pages, and that each pageview generates the specified number of impressions. It does not account for viewability rates or impressions below the viewport, ad blocking, the lower bids attracted by placements further down a page, seasonal variation in advertiser demand, differences in impression value by audience geography or content category, network minimums quoted in sessions rather than pageviews, currency conversion, payment thresholds, or tax owed on the earnings. Results are a simplified gross projection from static inputs.
Frequently Asked Questions
Best ad networks?
Why does my estimated revenue differ so much from my actual ad earnings?
What CPM rate is realistic for a typical blog?
How does the number of ads per page affect total revenue estimates?
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