Online Advertising: "The Art of Eyeball Harvesting"
From Logic Magazine:
We’re told we’re living in an attention economy. Sites and
platforms harvest our data, then use it to place targeted ads in our
path. But how does this business model actually work? What are the
processes and practices taking place behind the scenes that make this
lucrative arrangement possible?
We spoke to Shengwu Li,
an assistant professor of economics at Harvard, to learn more about the
deep machinery of the attention economy.
Can you start by telling us a little bit about your area of expertise?
I
work on behavioral economics and game theory, so I study insights from
psychology and build them into mathematical models of human behavior. In
particular, I’m interested in what we call market design.
For a
lot of the history of economics, we've taken as given the way that
market institutions work. Market design turns that on its head. It says
that instead of taking the rules of the market as given, we should look
at how those rules are written.
There are any number of
times where the government or a private company needs to set up a
market. For example, the Federal Communications Commission (FCC) might
be selling the rights for companies to broadcast over a certain band of
the wireless spectrum. The agency needs to come up with a set of rules
that determines who pays them what for which portion of the spectrum.
That's a market design question.
How are big tech companies engaged in market design?
Google
and Facebook get most of their revenue from selling advertising. So
they’ve had to design a system that enables advertisers to transact with
them.
The evolution of that system has been very ad hoc. It
started at Google. Early on, the company realized that it needed a way
to allocate the different ad slots that appear next to its search
results to different advertisers. So it started looking at something
called a “second-price auction.” This is a kind of auction that gets
invented by William Vickrey in the 1960s.
At the time, there were
two standard auction formats: the first-price auction and the ascending
auction. The first-price auction is where we all simultaneously submit
bids and the highest bidder wins. The ascending auction is the one we
generally think of when we picture an auction: there's somebody with a
gavel and the price keeps going up and everybody drops out except the
highest bidder and that person wins.
Vickrey recognized that both
types of auctions have their advantages. One obvious virtue of the
first-price auction is that everybody can participate asynchronously at a
distance. We don’t all have to be in the room bidding at the same time.
Logistically, it’s very efficient.
On the other hand, one virtue
of the ascending auction is that it’s easy to know how to bid. You
watch the price go up and once it's above your value, you quit. It’s
simple: you keep bidding at all prices below your value, and you quit at
all prices above your value.
Whereas in a first-price auction,
you really need to strategize. You need to say, “Okay, I guess this
object is worth $1000 to me, but if I get it for $1000 then I walk away
no better off than I was before, so I should put in a bid somewhere
below $1000.” But how much below $1000? That depends on what I think the
other bidders are going to do—and what the other bidders do depend on
what they think I’m going to do. It’s potentially a very complicated calculation.
So
in 1961 Vickrey writes a paper where he proposes a new kind of auction
that combines the benefits of both formats. In this new kind of auction,
we can all submit bids asynchronously and we don’t need to
strategize. Here’s how it works: everybody bids, the highest bidder
wins, and then the winner pays the second-highest bid. Thus the
second-price auction was born.
Why does that solve the problem of strategy? Why don't you have to strategize in a second-price auction?
The
trick is to see that there is a neat isomorphism between the price you
choose to quit at in an ascending auction and a bid that you place in a
second-price auction. Instead of running an ascending auction and having
everybody decide dynamically at the time when to quit, you can just ask
everybody when they are going to quit in advance and call that their
bid. The highest bidder will win and then pay the second-highest bid.
This
encourages you to submit a bid at however much you value the object. So
if you value the object at $1000, it is better to bid $1000 than to bid
any other amount. And that's true regardless of the other players’
behavior....
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