Plain Reckoner

Dataset

What a thousand pageviews earned from ads, by subject, across 123 broker-checked businesses

What a thousand pageviews earned from display advertising, by subject, taking the middle business in each — the figure the trade calls RPM. Measured across 123 web businesses whose traffic and revenue were both checked by a broker before sale. Covers 1,334 business-months, 1.17 billion pageviews and $6.84 million of advertising revenue. Every subject shown rests on at least three businesses; subjects below that are held back rather than shown, because a middle value over one business is a single data point wearing a statistic’s clothes. No ad network publishes this by subject, and every table you can find online traces back to a blog citing another blog.

Coverage
2023-01-01 to 2026-08-30
Last measured
Licence
CC BY 4.0
DOI
10.5281/zenodo.22280271
What a row is
One measured business: its niche, its RPM, and the months and traffic behind it.
Subjects
RPM, revenue per mille, display advertising, ad revenue, publisher revenue, pageviews, website monetisation, content sites

Download the summary 123 rows · 6 columns · CSV · no account, no email

Read the finding this came out of What a thousand pageviews earns, by subject, from 123 sites with checked traffic and revenue

How to cite this

Use it commercially, change it, build on it. The only condition is credit, and a link satisfies it.

In a chart, where space is short Plain Reckoner (2026)
In full Plain Reckoner (2026). "What a thousand pageviews earned from ads, by subject, across 123 broker-checked businesses" [dataset]. https://doi.org/10.5281/zenodo.22280271
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What you should know about this data

How it was measured

Sold listings from a broker’s public record where the business earned from display advertising and nothing else, so the revenue the broker checked IS advertising revenue. Revenue was matched to pageviews month by month across 1,334 business-months. The businesses listed in 2014-16 are left out: their pageview figures produce an implausible $40 middle value, which is a problem with the data rather than a fact about the market.

The summary

The first 60 of 123 rows. The download has all of them. Free to use with credit, commercially included.

niche rpm_usd USD per 1,000 pageviews months_measured pageviews ad_revenue_usd USD listed_year
Advertising 16.07 10 567,408 8,239 2017
Art 7.27 10 878,158 6,448 2017
Automotive 23.2 12 1,294,760 28,619 2022
Baking 13.85 12 787,619 12,354 2022
Beauty 28.58 11 3,659,765 103,888 2021
Beauty 3.04 12 2,533,074 8,521 2019
Business 24.45 3 421,956 10,122 2019
Business 15.83 4 262,469 4,245 2017
Coupons 17.83 12 682,093 12,130 2020
Cryptocurrency 190.84 12 365,838 73,623 2018
Culinary 31.18 12 1,325,639 41,722 2023
Culinary 28.53 11 1,521,675 38,972 2021
Culinary 25.79 12 2,349,990 56,239 2024
Culinary 24.92 12 2,458,863 64,821 2023
Culinary 21.38 11 3,726,816 76,519 2022
Culinary 20.59 12 4,203,014 86,694 2023
Culinary 15.93 11 2,267,154 37,516 2023
Culinary 15.21 8 888,783 14,024 2017
Culinary 14.18 11 3,159,108 44,841 2023
Culinary 13.49 12 1,831,974 23,683 2024
Culinary 11.62 12 7,571,934 95,055 2020
Digital Media 28.59 9 2,761,913 98,100 2024
Digital Media 0.51 12 62,535,662 30,423 2024
Electronics 54.66 10 372,554 20,181 2018
Electronics 4.45 11 3,982,454 17,614 2020
Employment 29.34 11 3,372,983 103,341 2021
Employment 1.36 12 83,211,364 112,196 2018
Entertainment 87.86 12 432,447 34,593 2019
Entertainment 11.15 12 2,072,189 22,422 2022
Entertainment 8.76 4 1,744,196 14,494 2017
Entertainment 8.41 12 4,156,372 34,920 2019
Entertainment 7 12 2,460,999 15,298 2019
Entertainment 6.76 3 514,561 3,484 2016
Entertainment 6.04 12 2,280,487 14,228 2018
Equipment 13.45 9 2,290,422 31,198 2017
Finance 39.45 11 178,288 8,015 2021
Finance 29.73 12 6,239,167 193,507 2021
Finance 11.63 12 2,940,747 35,007 2018
Food & Beverages 35.55 10 1,983,786 69,643 2024
Food & Beverages 21.35 10 7,266,165 158,141 2023
Food & Beverages 20.34 12 3,046,970 65,164 2022
Food & Beverages 15.52 12 590,634 9,816 2021
Food & Beverages 14.46 12 2,565,252 43,413 2023
Food & Beverages 4.27 11 2,897,684 13,556 2021
Gaming 20.24 11 2,391,763 47,137 2023
Gaming 10.98 11 14,839,964 168,303 2023
Gaming 9.84 10 4,404,762 45,199 2026
Gaming 9.59 11 18,541,717 175,406 2022
Gaming 8.97 12 5,866,450 55,123 2020
Gaming 7 11 4,962,328 32,766 2022
Gaming 6.48 12 3,387,017 18,009 2021
Gaming 3.74 12 8,255,382 32,183 2018
Gaming 2.15 6 7,480,311 19,529 2018
Gaming 2.09 12 26,088,003 54,491 2018
Gaming 1.35 12 16,116,370 24,275 2018
Gaming 1.33 12 40,488,437 56,190 2018
Gaming 1.14 8 4,830,835 5,640 2017
Health & Fitness 32.92 8 1,334,888 45,783 2024
Health & Fitness 25.92 12 148,725 4,982 2021
Hobbies 16.17 11 3,770,751 59,915 2021

What each column means

niche
The subject, as the broker filed it
rpm_usd
This business’s middle month, in earnings per thousand pageviews (RPM) — USD per 1,000 pageviews
months_measured
How many months that middle value is taken from
pageviews
Pageviews across those months
ad_revenue_usd
Verified advertising revenue across those months — USD
listed_year
The year the business was listed for sale

Want the record underneath this?

The download above is the complete dataset — all 123 rows, no account, no email, free to reuse with attribution. Nothing is held back from it.

What is not on the page is the working: which listings were excluded and why, how each business was assigned to a model, and the source records behind individual rows. If you are checking our method, writing about this, or need something cut a different way, ask — we will send what we can and say plainly where we cannot.

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