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Updated 2026-09-02 · Creator Economy · Educational use only ·
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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

People also use

Formula Used
Monthly pageviews
Ad placements per pageview
Publisher-side revenue per thousand impressions
Total monthly ad impressions
Monthly ad revenue, the primary result
Annual revenue at twelve times the monthly figure
Revenue per pageview, with pageview volume cancelling out

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.

Example Scenario

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

Monthly Pageviews:50,000
CPM Rate:$10
Ads per Page:2
Expected Result$1,000.00
Expected Result breakdown
Annual Revenue$12,000.00
Monthly Impressions100000
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?
Networks tier by traffic minimum rather than by quality alone, and the minimums are normally quoted in sessions while this calculator takes pageviews, so a site meeting a session threshold has more pageviews than the threshold number. Self-serve programmes such as Google AdSense accept sites at any size. Managed networks sit above them and set entry minimums in the tens of thousands of sessions a month, with Mediavine and Raptive the two most commonly named at that tier. Raptive is the network formerly branded AdThrive, which is worth knowing because the old name still appears in a great deal of older writing. Thresholds and brand names both change, so the durable point for this calculator is not which network a site is on but what rate that network actually pays: run the same traffic and ad count at each rate under consideration and compare the revenue per pageview, which is the figure that strips traffic size out of the comparison.
Why does my estimated revenue differ so much from my actual ad earnings?
The calculator assumes every impression is delivered, viewed and valued equally. Real earnings are reduced by ad blockers, by impressions that never enter the viewport, and by rates that move with audience geography, content category and seasonal advertiser demand. Two further gaps are worth naming. Ad density is treated linearly, so a fourth placement counts as much as the first, whereas lower placements attract fewer bids and fewer views. And the rate entered may be on the wrong side 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, so an advertiser-side rate entered here overstates the result by roughly a quarter to a half. The output is a gross ceiling on the inputs supplied, not a net payout figure.
What CPM rate is realistic for a typical blog?
Rates vary widely by content category, audience location and network tier. Finance, legal and health content is commonly described as commanding several times what general lifestyle or entertainment content earns, with the gap driven by what advertisers in those categories are willing to bid rather than by anything about the site. Audience location matters on a similar scale, since advertiser demand differs sharply between markets. Rather than settling on a single figure, entering a low, middle and high rate across the same traffic gives a range, and the revenue per pageview row makes those comparable at a glance. The figure with any real authority is the effective rate an account already reports, since it reflects that site's own mix of category, geography and layout.
How does the number of ads per page affect total revenue estimates?
Adding placements multiplies impressions proportionally in this model, since monthly impressions are pageviews times ads per page. Doubling ads per page from 2 to 4 on the loaded figures doubles monthly revenue from 1,000 to 2,000 and doubles revenue per pageview from 0.02 to 0.04. Reality diverges from that in two directions. Placements further down a page attract fewer bids and fall below the viewport for many visitors, so their effective rate is lower than the first placement's rather than equal to it. And ad density carries costs the model does not see, in page speed, in reader experience and in search performance. The calculator therefore overstates the contribution of placements beyond the first one or two, and the gap widens with each additional slot.

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