21 Feb 2026
Studies on behavioral advertising that probably already exist
previously: an easy experiment to support behavioral advertising (or not)
In Economic Rationales for Regulating Behavioral Ads (PDF), Pegah Moradi, Cristobal Cheyre, and Alessandro Acquisti ask,
Ultimately, what should regulators do in the absence of macro-level empirical studies that credibly establish how behaviorally targeted advertising affects all stakeholders? Discarding well-founded legal and philosophical justifications for regulation in favor of poorly substantiated claims from the ad-tech industry would be misguided.
The fun part is that these macro-level empirical studies…already exist. They just happen to be behind the firewall at the Big Tech companies and the data brokers. Maybe they’re not fully written up as PDFs with properly formatted references and everything, but a lot of the questions about the harms and/or benefits of cross-context behavioral advertising (CCBA) have answers in data that already exists, and it would be hard to believe that nobody has run the query.
People’s exposure to CCBA varies. Some people, whether because of their general habits or deliberate use of privacy tools and settings, are either exposed to fewer ad impressions or targeted less accurately. But it’s hard to escape surveillance completely. So anyone in the surveillance advertising business is going to have a database of low-CCBA (less data) and high-CCBA (more data) people, and the big platforms have “conversion tracking” data that gives them a good idea of people’s shopping habits.
So a couple of straightforward studies to do would be:
Are high-CCBA or low-CCBA people buying more or less from small local businesses? This would be a relatively straightforward query to run, and it would be the missing piece to back up a lot of the claims about the benefits of CCBA.
Do low-CCBA or high-CCBA people build higher net worths over time? The Big Tech companies know how much data they can collect on you, and they know roughly how much money you have. Are the people who have had more data collected on them over the past five or ten years richer today? Pro-CCBA papers already point out that wealthier people have higher privacy preferences, but which is the cause and which is the effect? More: building wealth the privacy way?)
If the answer to either question favored the high-CCBA group, it would be a slick report in every state legislator’s inbox by now. The lack of a report on either one of these could turn out to be more informative than the actual report would be.
Maybe deceptive advertisers, who don’t have the money and time costs of delivering a legitmate product, are able to work “the algorithms” better, and benefit from an asymmetric flow of customer data away from legit businesses? Maybe as people use surveillance apps more, they put more of their money into drop-shipped stuff, in-app purchases and sports betting, so have less left over for legit shopping? More: accounting help needed)
Bonus links
The
Future Of Brand Creativity Belongs To The Small And Reckless by Adel
Borky. Loss aversion explains almost everything. The perceived
downside of not doing AI feels immediate and existential: angry boards,
nervous investors, headlines asking if you’re “behind.” The downside of
doing it badly is delayed, distributed, and someone else’s problem. So
holding companies overreact. They centralize. They standardize. They
automate. They turn a flexible tool into a rigid system and call it
transformation.
The
one problem with Russia’s shadow fleet Europe still hasn’t addressed
by Ben Harris. These countries shirk their oversight duties by
enabling barely seaworthy ships on their registries to carry inadequate
insurance from unreliable and under-capitalized Russian insurers. The
result is a costly environmental tragedy in waiting….
The
Measurement Caddies by Brian Jacobs. First, today’s biggest
players don’t care about the rules. Question the principles, change the
language, keep the data hidden. Do what’s best for them regardless of
any higher good. Move fast and break things, as Facebook had it.
The
radical confidence of Generative AI and MAGA (Spilling Ink #14) by
Dan Brown. They lie and they double-down on the lie when pushed. They
never admit the need to investigate, much less admit that they don’t
know.
(Related: fix Google
Search)
Sports
betting reshaped newsrooms, and it’s “a little gross.” Now, here come
the prediction markets by Sarah Scire. Many journalists told me
they view gambling partnerships as a necessary evil, since their
companies are fighting for survival and it’s difficult in that position
to stand on principle and turn away a new, massive revenue stream. That
said, there is definitely concern that journalists are being used to
make gambling seem innocent and harmless, especially for young
people.
With
‘KPop Demon Hunters,’ Korean women hold the sword, the microphone — and
possibly an Oscar by Hyounjeong Yoo. As “cultural diplomats” both
on and off the screen, Huntrix carry not only entertainment value but
also the symbolic labour of representing a nation to a global
audience.
Your
Search Button Powers my Smart Home by Tom Casavant. So, I started
exploring the Wide Wide World of
Customer Support Chatbots
. A
tool probably used primarily because it’s far cheaper to have a robot
sometimes make stuff up about your company than to have customers talk
directly to real people. The first thing I discovered was that there are
a lot of customer support LLMs deployed around the web…. So I started
collecting them all. Anywhere I could find a Chat with AI
button
I scooped it up and built a wrapper for it. Nearly all of these APIs had
no hard limit (or at least had a very high limit) on how much context
you could provide. I am not sure why Substack or Shopify need to be able
to handle a 2 page essay to provide customer support. But they were able
to. This environment made it incredibly easy prompt inject the LLM and
get it to do what you want.