Guess Who Buys the Most Online Porn

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A recent study shows that, while the consumption of online pornography doesn't vary a lot between states, the states with the highest rates are the ones that are more conservative and religious.

The study, by Benjamin Edelman, assistant professor of business administration at Harvard Business School, controls for the amount of broadband access available in a region, and looked at pornography consumption by zip code.

The most-subscribed state, by a variety of criteria? Per thousand people, per thousand home Internet users, per thousand home broadband users -- Utah was Number One.

Other states in the top 10, per thousand home broadband users, were Alaska, Mississippi, Hawaii, Oklahoma, Arkansas, North Dakota, Louisiana, Florida, and West Virginia.

Least-subscribed states in the category were Montana, Idaho, Tennessee, Ohio, Oregon, New Jersey, Delaware, Connecticut, Wyoming, and Michigan.

Other factors that increased online porn subscriptions were average household income, an increase in residents of ages 15-24, and college degrees. Factors that reduced online porn subscriptions were an increase in residents of ages 65 or older, and graduate degrees.

Urban areas were more likely to have subscribers; increases in both marriage and divorce were likely to reduce subscribers; and in areas where more people reported attending religious services, subscriptions were more likely to start on Sundays.

More specifically, "adult escort sites are more popular in “blue” states that voted for Gore in 2004, while visitors from the “red” states that voted for Bush in 2004 are more likely to visit wife-swapping sites, adult webcams, and sites about voyeurism," the study found.

Edelman said, however, that one of the most notable findings of the study was how little difference there actually was between states; the ratio of the most-subscribing state, compared to the least-subscribing state, was 2.85, compared to ratios such as 3933:1 for truck ownership.

Dani AI

Generated

A few practical notes tied to the paper linked and the reaction from — focused on how to read the analysis and what it means for marketers rather than restating the study's numbers.

Aggregate geography-based measures are useful for hypothesis generation but have limits. Group-level counts (zip, county, state) do not equal individual intent — shared devices, NAT/IP churn, VPNs, CDNs and mobile versus fixed-line traffic can all blur where and who is actually paying. Classification errors and bot/affiliate noise also inflate or distort counts. Treat headline geographic patterns as signals to test, not facts to target blindly.

On the “why pay?” point raised by : paid models persist because they solve problems free downloads don’t — reliable streaming, higher quality and exclusives, live interaction, direct support for creators, ad-free experiences and discreet billing. Those value propositions drive conversion even where free material is abundant.

Operational takeaways for anyone working in adult verticals: use aggregate studies to form hypotheses, then validate with small, privacy-respecting A/B tests and first‑party analytics. Optimize mobile UX and checkout friction, emphasize privacy/discretion and clear value (exclusive content, live access), and build retention mechanics (trials, gated content). Be realistic about channel limits — many mainstream ad and payments platforms restrict adult merchants, so plan for specialized ad networks, merchant services and age‑verification providers. Above all, avoid stereotyping users based on zip-level stats — segmentation should be driven by tested behavior, not assumptions.

The paper is a good conversation starter; combine its signals with current first‑party metrics, controlled experiments and legal/compliance checks before changing targeting or spend.

MosaicFuneral 812 Nearly a Posting Virtuoso

What?! People still buy porn?!?!?!?!? I could download terabyte after terabyte of porn, and never pay a penny directly for it.

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