WEBVTT - The Internet Is Secretly Powered By Billions Of Tiny Auctions

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<v Speaker 1>Lord, Welcome to another episode of The Odd Laws Podcast.

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<v Speaker 1>I'm Joe Wisenhall and I'm Tracy Alloway. Tracy, do you

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<v Speaker 1>know what powers the internet? Um? Hamsters on wheels? No, Um, electricity.

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<v Speaker 1>I don't know. Data. Is this like a metaphor? I

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<v Speaker 1>guess you could probably say. I have a lot of

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<v Speaker 1>different answers. Electricity is probably one. Someone could say data.

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<v Speaker 1>I was gonna say online advertising. Ah, now this is interesting. Um.

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<v Speaker 1>Do you mean in the sense that online advertising pays

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<v Speaker 1>for websites to actually run? Yeah. Basically, it's like if

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<v Speaker 1>you think about virtually anything we do on the internet,

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<v Speaker 1>if you think about at least some aspect of our

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<v Speaker 1>careers having written on the internet, if you think of

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<v Speaker 1>all the social networking, literally everything in some way, it

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<v Speaker 1>was probably paid for the online advertising. Yeah, I guess

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<v Speaker 1>you're right. I mean, none of these things are really

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<v Speaker 1>provided for for free. And I guess the cliche is

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<v Speaker 1>always if you're not paying for the service, Uh, then

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<v Speaker 1>you know the product they're selling is is probably you

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<v Speaker 1>and your personal data, and they're selling that to advertisers,

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<v Speaker 1>right exactly. And of course, as we know, a lot

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<v Speaker 1>of the practices and online advertising these days are pretty controversial,

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<v Speaker 1>and people are concerned about privacy and as you said,

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<v Speaker 1>your personal data and the reader or the user being

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<v Speaker 1>the product. But have you ever wondered, really how they

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<v Speaker 1>figure out what ad to serve you? In the split

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<v Speaker 1>second you go to a website and there's already an

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<v Speaker 1>AD that's perfectly tailored to your interest. Have you ever

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<v Speaker 1>really explored how that happens? I'm not lying when I

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<v Speaker 1>say I have actually wondered this specifically, I've wondered why

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<v Speaker 1>the pair of shoes that I looked at for like

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<v Speaker 1>five seconds two weeks ago follow me around the internet

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<v Speaker 1>from months later begging to be bought. That really annoys me.

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<v Speaker 1>So if this is what we're going to talk about,

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<v Speaker 1>then I'm on board, Joe. But what does it have

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<v Speaker 1>to do with markets exactly? Well, it's uh, first of all,

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<v Speaker 1>this is exactly what we're gonna be talking about, So

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<v Speaker 1>you're in luck. And of course it's a market thing

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<v Speaker 1>because someone has to buy and sell that ad inventory

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<v Speaker 1>and essentially you go to a website or go to

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<v Speaker 1>Facebook or whatever, and there has to be some sort

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<v Speaker 1>of process for allocating that advertising space and how much

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<v Speaker 1>are people going to pay for it? And how much

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<v Speaker 1>is that worth and how much are uh they is

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<v Speaker 1>the website going to sell it for? And that is

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<v Speaker 1>a marketplace. So the Internet is fundamentally run by market structure,

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<v Speaker 1>is what you're telling me. I love this episode already exactly. Well,

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<v Speaker 1>I'm very excited about it. So without further ado, I

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<v Speaker 1>want to bring in our guest. His name is Option Bdelli.

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<v Speaker 1>He is a systems engineer for online ad platforms, and

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<v Speaker 1>we are going to talk about market structure as it

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<v Speaker 1>pertained to the world of online advertising. Thank you very

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<v Speaker 1>much for coming on. Thank you, and hi Tracy Hija.

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<v Speaker 1>So what happens when I go to a website? Wow,

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<v Speaker 1>let's just let's just jump right in. Great, so today

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<v Speaker 1>on average for the average website, let's go through what happens.

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<v Speaker 1>So you load up your favorite web page, whatever it is,

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<v Speaker 1>let's say bloom Bloomberg dot com of course, and chances

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<v Speaker 1>are you visited Bloomberg dot com before. This is not

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<v Speaker 1>the first time you visited this site, so that's important.

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<v Speaker 1>We'll get back to that in a bit. What happens

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<v Speaker 1>the moment you load the page there is a race.

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<v Speaker 1>People want to find out who you are and whether

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<v Speaker 1>it's worth their time to show you an AD, And

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<v Speaker 1>the hope is if they show you an AD, maybe

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<v Speaker 1>you will in some way engage or convert or respond

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<v Speaker 1>to that ad in different ways, and there are different

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<v Speaker 1>methods for measuring exactly how you convert. So the whole

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<v Speaker 1>game at this point is to show you an AD

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<v Speaker 1>as quickly as possible, that is, as revenue impacting as

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<v Speaker 1>possible for both the person purchasing the ad and the

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<v Speaker 1>purchase the person selling you the ad, the publisher and

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<v Speaker 1>the advertiser. So I have a bunch of questions already

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<v Speaker 1>about how the buyers and the sellers kind of come together.

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<v Speaker 1>But I guess before we get to that, can you

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<v Speaker 1>describe what kind of personal data is available if Joe

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<v Speaker 1>or I, you know, actually click on a website, be

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<v Speaker 1>at the Bloomberg website or something else. Sure, so we

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<v Speaker 1>can divide this generally into three buckets of data. Let's

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<v Speaker 1>say there's the data that we know about the user

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<v Speaker 1>as as soon as they visit the page, the data

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<v Speaker 1>that is live that is part of the request. Then

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<v Speaker 1>there's the data the Bloomberg in this example has from

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<v Speaker 1>your past visits. And then there's the data that the

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<v Speaker 1>advertiser has purchased from a third party that has been

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<v Speaker 1>collected from you over the course of months and years,

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<v Speaker 1>from all sorts of different sources. The party that is

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<v Speaker 1>in charge of providing this last piet of data, which

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<v Speaker 1>I'm guessing is the most interesting to you, is called

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<v Speaker 1>a d MP, a data management platform. It's the job

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<v Speaker 1>of these DMPs to find out as much data as

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<v Speaker 1>they can possibly get about you, and aggregate from all

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<v Speaker 1>sorts of different databases and data sources, and correlate it

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<v Speaker 1>to the information that is returned to them by the publisher,

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<v Speaker 1>in this case, Bloomberg. So I have a bunch of

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<v Speaker 1>potentially different interests. I'm interested in financial market, I'm interested

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<v Speaker 1>in boxing, I'm interested in barbecuing. So in theory, there's

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<v Speaker 1>a lot of different types of advertisers, very different from

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<v Speaker 1>each other, that would might want to compete for my attention,

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<v Speaker 1>that might want to put up some product that they're

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<v Speaker 1>selling in front of me. So how what is the

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<v Speaker 1>process by which that collection of data that the d

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<v Speaker 1>MP has on me turns into someone putting an atom

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<v Speaker 1>from ah? So that is the job of the DSP,

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<v Speaker 1>the demand side platform. Are you enjoying the outfits? I

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<v Speaker 1>I am already I have a feel like there's more

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<v Speaker 1>to come to there are Okay, So the demand side

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<v Speaker 1>platform partners with several d MPs, and it's their job

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<v Speaker 1>to look at your incoming data, your page visit data

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<v Speaker 1>that happens when you visit bloomber dot com in this

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<v Speaker 1>one moment and correlated to all the different data it

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<v Speaker 1>gets from the d MPs. And how they go about

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<v Speaker 1>that is sort of proprietary. It's the special sauce. But

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<v Speaker 1>imagine they have just about any imaginal data stores that

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<v Speaker 1>they can possibly call on you based on your email

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<v Speaker 1>address and how who you've given to you in the past,

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<v Speaker 1>cookies that you've often websites in the past, even location

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<v Speaker 1>begins from from brick and mortar real life stories that

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<v Speaker 1>you visit in the past, and they're correlating it all

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<v Speaker 1>and that single moment while you're viewing the page in

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<v Speaker 1>order to figure out which ad is best to serve

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<v Speaker 1>to you. It's weird to think there's like a behind

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<v Speaker 1>the scenes battle happening every time you open up a

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<v Speaker 1>new web page. I'm wondering how how did this structure

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<v Speaker 1>actually come into place? Like who made the decision that

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<v Speaker 1>this was going to be the way um that the

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<v Speaker 1>Internet essentially works and that advertising is sold online. So

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<v Speaker 1>let's go through a brief history of how the market

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<v Speaker 1>micro structure of online advertising evolved. Those are words I

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<v Speaker 1>never thought I'd be saying before, but here we are.

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<v Speaker 1>So in the beginning that this is why they welcome

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<v Speaker 1>to the outlaws. So in the beginning there were advertisers

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<v Speaker 1>and publishers. So in this case, there's let's say Bloomberg

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<v Speaker 1>and someone who wants to advertise on Bloomberg, and around

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<v Speaker 1>let's say twenty years ago, was fairly easy for these

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<v Speaker 1>two parties to find each other and match up. There

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<v Speaker 1>were not that many people who were advertising, and they're

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<v Speaker 1>not many people publishing websites. But more and more advertisers

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<v Speaker 1>and more and more publishers makes this market microstructure really inefficient.

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<v Speaker 1>Imagine the equipment of an open outcry pit, but only

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<v Speaker 1>about five people in each pit, scattered all around the world.

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<v Speaker 1>How to buyers and sellers match up with each other

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<v Speaker 1>after they've reached a certain volume. The solution to that

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<v Speaker 1>first became advertising networks. This would be an aggregation of

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<v Speaker 1>advertisers under one umbrella being presented to publishers. That solves

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<v Speaker 1>one problem, how do you get more supply to satisfy demand,

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<v Speaker 1>but it exposes another problem. To give an example where

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<v Speaker 1>that problem is, let's put some color on what ad

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<v Speaker 1>we're serving on Bloomberg dot com. Let's say we're serving

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<v Speaker 1>an ad for men's shoes. So if I present that

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<v Speaker 1>add to Joe when he's being a boomer dot com,

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<v Speaker 1>there's probably a higher percentage of a chance that he's

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<v Speaker 1>going to convert actually engage with that ad. Then if

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<v Speaker 1>I were to show those same men shoes to Tracy,

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<v Speaker 1>who I'm guessing is not in the market for Adidas

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<v Speaker 1>right now, so we need to wait now. So we

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<v Speaker 1>need a way to solve that problem. We need a

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<v Speaker 1>way to actually show Joe the ads that he cares

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<v Speaker 1>about and Tracy the ads that she cares about. So

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<v Speaker 1>that led to add exchanges, and that in turn became

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<v Speaker 1>demand side platforms. The evolution how we went from ad

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<v Speaker 1>networks to add exchanges to demand side platforms basically came

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<v Speaker 1>from the recognition of this problem that although we have

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<v Speaker 1>the ability to match up advertising publishers, buyers, and sellers,

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<v Speaker 1>neither of them really know how to match up the

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<v Speaker 1>best inventory with each other. They know how to give

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<v Speaker 1>each other, you know, a certain lot size, a certain

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<v Speaker 1>amount of certain quantity in terms of number of ads

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<v Speaker 1>are in terms of revenue spent, but they don't really

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<v Speaker 1>know how to connect to Joe to give him the

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<v Speaker 1>best add that he wants. Tracy, I'm listening to off

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<v Speaker 1>and describe this. I've been thinking back to some of

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<v Speaker 1>our early episodes with Chris White talking about bond market

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<v Speaker 1>structure and just the sheer multitude of potential players in

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<v Speaker 1>the game and varieties of bonds that people could be selling,

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<v Speaker 1>different coupons, different times, different structures, and the sort of

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<v Speaker 1>complicated challenges that that poses in terms of bringing everyone together. Yeah. Absolutely,

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<v Speaker 1>I wonder in that case again, how they're able to

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<v Speaker 1>do it so quickly that we don't even notice that

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<v Speaker 1>it's actually happening in the background. So Offiction, what's the

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<v Speaker 1>technology that's actually allowing people to do this? So the

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<v Speaker 1>technology is referred to as you ready, Joe, another acronym

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<v Speaker 1>RTB Real time didn't and it's meant to happen as

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<v Speaker 1>quickly as possible to connect advertisers and publishers through supplies

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<v Speaker 1>lie platforms SSPs and demands like platforms DSPs. Why it's

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<v Speaker 1>so fast. Well, there's an interesting wrinkle or two there.

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<v Speaker 1>First off, the publisher always has the option of showing

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<v Speaker 1>you a house AD if they don't get a proper

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<v Speaker 1>real time bid that they can match open in time.

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<v Speaker 1>The reason you might want to show a house ad

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<v Speaker 1>versus a targeted AD is because you never want to

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<v Speaker 1>leave a user waiting for an ad load. I'm sure

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<v Speaker 1>you've all had the experience of visiting a page and

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<v Speaker 1>waiting for to load, and waiting for to load, and

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<v Speaker 1>when it does, you get a pop up or something

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<v Speaker 1>more innoxious. Generally you want to avoid that. What URTV

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<v Speaker 1>allows publishers to do is present the best possible targeted AD.

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<v Speaker 1>But if they can't do that in time, they will

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<v Speaker 1>just be happy to show you any ad. Maybe they

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<v Speaker 1>have their own personal brands they'd like to show off

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<v Speaker 1>to you. Maybe they have a preferred private partner who's

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<v Speaker 1>as they have an inventory that they would front and

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<v Speaker 1>run in front of their RTV ads. It really depends

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<v Speaker 1>on the publisher. So explain to us the auction process

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<v Speaker 1>real time bidding. It's essentially describing an auction, So to

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<v Speaker 1>walk us through what is that micro second or whatever

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<v Speaker 1>that or that add is delivered. How the bidding works? Sure? Okay,

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<v Speaker 1>so let's walk through our example again of Joe visiting

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<v Speaker 1>Bloomberg dot Com. Joe visits Bloomberg, Bloomberg sends Joe's data

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<v Speaker 1>to their SSP, their supply side platform. The SSP in

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<v Speaker 1>turn transforms this data into a bid and passes it

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<v Speaker 1>off to the ad exchanges. The ad exchanges in turn

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<v Speaker 1>pass this off to their d MPs. Are you following

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<v Speaker 1>the microxtra platforms? Sorry? I say d MPs and a

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<v Speaker 1>d MP DSPs Even I get confused. The d MPs

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<v Speaker 1>are the data management platforms. They're in charge of gain

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<v Speaker 1>the data. The DSPs are the demand side platforms, and

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<v Speaker 1>the demand side platforms in turn look for the best

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<v Speaker 1>inventory the bids that match up with the eyeballs that

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<v Speaker 1>they're getting from Bloomberg and try to make the best match.

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<v Speaker 1>It's the DSPs side too, or a job to service

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<v Speaker 1>sort of the match engine here. So this all goes

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<v Speaker 1>through three counterparties and end if you're counting. So I'm

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<v Speaker 1>curious what pricing actually looks like under this system, because

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<v Speaker 1>if I think back to old style advertising, um, and

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<v Speaker 1>you know, please let me engage in some media naval

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<v Speaker 1>gazing here. But if you were selling newspapers, um, for instance,

0:13:22.960 --> 0:13:26.360
<v Speaker 1>you would know roughly what the audience for your newspaper

0:13:26.400 --> 0:13:30.120
<v Speaker 1>circulation was, and you would have a decent idea of

0:13:30.240 --> 0:13:32.679
<v Speaker 1>you know their income levels and where they live, and

0:13:32.720 --> 0:13:34.880
<v Speaker 1>what they like to spend money on and things like that.

0:13:36.000 --> 0:13:40.440
<v Speaker 1>But now these online ads are so targeted, does that

0:13:40.640 --> 0:13:43.520
<v Speaker 1>drive down the pricing because you're not You're not really

0:13:43.800 --> 0:13:48.240
<v Speaker 1>targeting like a big swathe of the population that you're

0:13:48.280 --> 0:13:52.240
<v Speaker 1>hoping might buy your product. You're actually targeting a specific person.

0:13:53.120 --> 0:13:55.199
<v Speaker 1>It actually seems to drive up the pricing because you

0:13:55.240 --> 0:13:58.319
<v Speaker 1>don't really want to flood the market with ad volume

0:13:58.360 --> 0:14:00.319
<v Speaker 1>that most people won't engage, and you want to hit

0:14:00.640 --> 0:14:03.480
<v Speaker 1>the lowest number of people because remember there's a ton

0:14:03.520 --> 0:14:06.080
<v Speaker 1>of technical effort going behind all this. There are servers

0:14:06.120 --> 0:14:08.240
<v Speaker 1>that need to run and engineers that need to be paid,

0:14:08.240 --> 0:14:10.199
<v Speaker 1>and all that. You want to put the least amount

0:14:10.200 --> 0:14:12.760
<v Speaker 1>of effort into pushing your ads to the most the

0:14:12.760 --> 0:14:15.280
<v Speaker 1>people who are most likely to engage with them. You

0:14:15.400 --> 0:14:19.120
<v Speaker 1>never want to have any extra ad target hit that

0:14:19.200 --> 0:14:22.880
<v Speaker 1>hits someone who's unlikely to click it. Ideally, not think

0:14:22.920 --> 0:14:25.760
<v Speaker 1>about it like this. Let's say you have a thousand

0:14:25.840 --> 0:14:28.280
<v Speaker 1>ads that you want to push to people, you have

0:14:28.360 --> 0:14:30.280
<v Speaker 1>the choice. And this is how it used to work

0:14:30.280 --> 0:14:32.880
<v Speaker 1>about ten or fifteen years ago, of just agreeing to

0:14:32.920 --> 0:14:35.880
<v Speaker 1>a rate upfront with a publisher and saying these thousand

0:14:35.960 --> 0:14:38.200
<v Speaker 1>ads will sell for ten dollars and leaving the publisher

0:14:38.200 --> 0:14:40.520
<v Speaker 1>in charge of running those ads as fast as they

0:14:40.560 --> 0:14:43.800
<v Speaker 1>can sell. And some people will be engaging with those

0:14:43.840 --> 0:14:46.960
<v Speaker 1>ads Monday around two pm, some it's Saturday four am

0:14:47.000 --> 0:14:49.920
<v Speaker 1>in the morning. Some from the United States, some from Indonesia.

0:14:50.000 --> 0:14:52.720
<v Speaker 1>They'll all get the same rate. That's really not efficient

0:14:52.720 --> 0:14:54.520
<v Speaker 1>from an advertiser's point of view. They're really not getting

0:14:54.560 --> 0:14:57.640
<v Speaker 1>the most bang for their buck. So what they would

0:14:57.680 --> 0:14:59.920
<v Speaker 1>like to do instead is push to people who they

0:15:00.080 --> 0:15:03.520
<v Speaker 1>know as much information about and for whatever reason, they've

0:15:03.560 --> 0:15:07.720
<v Speaker 1>decided have the highest confidence and their ability to convert

0:15:08.040 --> 0:15:12.440
<v Speaker 1>with the add Now I'm curious about sort of you know,

0:15:12.480 --> 0:15:15.280
<v Speaker 1>if we really dive into the sort of financial market

0:15:15.680 --> 0:15:19.360
<v Speaker 1>aspect of this, are there players in the market that

0:15:19.440 --> 0:15:24.040
<v Speaker 1>attempt to for better lack of better warriors engage in

0:15:24.160 --> 0:15:28.400
<v Speaker 1>arbitrage buy up cheap, buy up inventory that they think

0:15:28.640 --> 0:15:30.680
<v Speaker 1>they could get on the cheap, and then sort of

0:15:30.720 --> 0:15:34.200
<v Speaker 1>repackage it in some way and resell up more expensive

0:15:34.280 --> 0:15:39.440
<v Speaker 1>like essentially, you know, essentially become traders. Absolutely, And there

0:15:39.440 --> 0:15:41.680
<v Speaker 1>are several different arbitraged strategies, just as you'll find in

0:15:41.680 --> 0:15:45.080
<v Speaker 1>any other market microstructure. There are plenty of companies who

0:15:45.080 --> 0:15:47.480
<v Speaker 1>are in the business of taking in raw ad supply

0:15:47.600 --> 0:15:50.720
<v Speaker 1>and sort of sharry picking what they think is the

0:15:50.720 --> 0:15:54.280
<v Speaker 1>best possible converting ad. And on the other side, there

0:15:54.320 --> 0:15:56.320
<v Speaker 1>are plenty of people who in the business of aggregating

0:15:56.400 --> 0:16:02.560
<v Speaker 1>eyeballs and only presenting the best possible eyeballs to vertisers. Fortunately,

0:16:02.600 --> 0:16:04.440
<v Speaker 1>I'm not sure I can give any of their names

0:16:04.680 --> 0:16:08.440
<v Speaker 1>on air. How profitable is that business? Then, like can

0:16:08.480 --> 0:16:10.680
<v Speaker 1>you make a ton of money out of it? Given

0:16:10.680 --> 0:16:14.200
<v Speaker 1>that the pricing is quite low, it is extraordinarily profitable

0:16:14.800 --> 0:16:18.240
<v Speaker 1>in the tens of billions of dollars a year. So

0:16:18.560 --> 0:16:22.360
<v Speaker 1>from time to time you mentioned secret sauce, I think

0:16:22.400 --> 0:16:24.680
<v Speaker 1>at one point and you talked about this, and you

0:16:24.760 --> 0:16:28.560
<v Speaker 1>hear about this world of companies called ad tech, and

0:16:28.640 --> 0:16:30.960
<v Speaker 1>I never am totally clear what they do. And a

0:16:31.040 --> 0:16:33.720
<v Speaker 1>lot of them seem to rise really fast and fall

0:16:33.880 --> 0:16:37.640
<v Speaker 1>really fast. So what are some of the competing strategies?

0:16:37.720 --> 0:16:40.640
<v Speaker 1>Some company comes along and says we have something new.

0:16:40.720 --> 0:16:42.840
<v Speaker 1>We have a new way that you can reach reach

0:16:42.840 --> 0:16:45.280
<v Speaker 1>your clients more officially, or we're going to use AI

0:16:45.440 --> 0:16:47.840
<v Speaker 1>or machine learning or big data or whatever. Like. What

0:16:47.920 --> 0:16:51.760
<v Speaker 1>are these ad tech companies? Where are they in the process,

0:16:51.800 --> 0:16:54.680
<v Speaker 1>and how do they attempt to make things more efficient?

0:16:55.320 --> 0:16:57.720
<v Speaker 1>So there are really two basic strategies for these at

0:16:57.800 --> 0:17:01.960
<v Speaker 1>tech companies. One is to make the process faster to

0:17:02.480 --> 0:17:06.280
<v Speaker 1>present adds faster to eyeballs that are willing to view

0:17:06.280 --> 0:17:10.600
<v Speaker 1>them and gain a sort of latency arbitrage edge. The

0:17:10.640 --> 0:17:14.080
<v Speaker 1>second strategy is to gather as much information as possible

0:17:14.119 --> 0:17:16.560
<v Speaker 1>from all these different accurate sources and as quickly as

0:17:16.560 --> 0:17:18.960
<v Speaker 1>possible match it up to the visitor that's trying to

0:17:19.040 --> 0:17:21.720
<v Speaker 1>view the ad. Most add to companies focus on the

0:17:21.760 --> 0:17:24.760
<v Speaker 1>second strategy. There in the business of gathering tremendous amounts

0:17:24.760 --> 0:17:28.199
<v Speaker 1>of data, correling it all very very quickly, and presenting

0:17:28.200 --> 0:17:31.680
<v Speaker 1>it to you quicker than the page will load. I'm

0:17:31.720 --> 0:17:34.760
<v Speaker 1>curious about the data gathering aspect. So let's say you

0:17:34.840 --> 0:17:38.439
<v Speaker 1>and I or the three of us here, we're like, okay,

0:17:38.480 --> 0:17:41.800
<v Speaker 1>we want to start a new ad tech company, and

0:17:42.600 --> 0:17:44.640
<v Speaker 1>where are we how do we start gathering that data,

0:17:44.720 --> 0:17:47.760
<v Speaker 1>like where are there wholesale brokers of it? Or that

0:17:47.920 --> 0:17:52.000
<v Speaker 1>can we collected ourselves? Like what's the process there? So

0:17:52.160 --> 0:17:55.560
<v Speaker 1>first we were probably partnered with several publishers like Bloomberg

0:17:55.640 --> 0:17:58.320
<v Speaker 1>for example, to go back to the beginning, we would

0:17:58.359 --> 0:18:00.720
<v Speaker 1>also partner with third party data providers. We would want

0:18:00.720 --> 0:18:03.840
<v Speaker 1>a combination of raw fresh data coming in from new

0:18:03.920 --> 0:18:07.080
<v Speaker 1>visits so we can build our own database, and we

0:18:07.200 --> 0:18:09.080
<v Speaker 1>want to have the ability to correlate it with as

0:18:09.160 --> 0:18:11.879
<v Speaker 1>many pre existing data sources. You probably don't want to

0:18:11.880 --> 0:18:13.960
<v Speaker 1>reinvent the wheel plenty. There are plenty of public data

0:18:14.000 --> 0:18:16.480
<v Speaker 1>basines and four paid databases out there where you can

0:18:16.480 --> 0:18:20.119
<v Speaker 1>find out, for example, from your email address or from

0:18:20.160 --> 0:18:23.080
<v Speaker 1>your IP address, what country you're in, what city you're in,

0:18:24.119 --> 0:18:26.800
<v Speaker 1>what sites you've signed up for the past, what your

0:18:26.920 --> 0:18:29.240
<v Speaker 1>LS you visited in the past, what time zone you're in,

0:18:29.280 --> 0:18:32.400
<v Speaker 1>what language you speak, all that sort of stuff. So

0:18:32.440 --> 0:18:35.159
<v Speaker 1>what's the most lucrative area when it comes to this

0:18:35.240 --> 0:18:38.760
<v Speaker 1>ecosystem of online ad selling is that the data collection?

0:18:39.280 --> 0:18:43.200
<v Speaker 1>Is it? You know, the underlying technology of the bidding system?

0:18:43.320 --> 0:18:46.720
<v Speaker 1>Is it if you're you know, arbitraging big blocks of

0:18:47.160 --> 0:18:52.680
<v Speaker 1>potential eyeballs to sell to people. What makes the most money. So,

0:18:53.119 --> 0:18:56.040
<v Speaker 1>judging from the market cap of the at two companies

0:18:56.080 --> 0:18:58.359
<v Speaker 1>out there today, I'm going to guess it's a combination

0:18:58.560 --> 0:19:03.879
<v Speaker 1>of selling the ad and also taking a bit of

0:19:04.200 --> 0:19:07.120
<v Speaker 1>the cut of every ad that's sold. So good example

0:19:07.320 --> 0:19:11.600
<v Speaker 1>here might be Google, which most publishers use as a

0:19:11.800 --> 0:19:16.359
<v Speaker 1>demand side partner. So Google gets their money two ways.

0:19:16.480 --> 0:19:19.960
<v Speaker 1>If you're using their product DFP double clip for publishers,

0:19:20.000 --> 0:19:23.800
<v Speaker 1>if you're connecting to Google through DFP, they get a

0:19:23.840 --> 0:19:27.520
<v Speaker 1>cut of every ad that is served through DFP, but

0:19:27.600 --> 0:19:29.800
<v Speaker 1>also they have the option of serving ads from their

0:19:29.840 --> 0:19:34.200
<v Speaker 1>own inventory through their exchange addicts. So for an analogy,

0:19:34.320 --> 0:19:38.800
<v Speaker 1>think if, for example, on the COMEX, you both ran

0:19:38.880 --> 0:19:41.919
<v Speaker 1>the exchange and also ran a gold mining company and

0:19:42.000 --> 0:19:44.440
<v Speaker 1>offered a gold etf on the exchange, you not only

0:19:44.480 --> 0:19:47.080
<v Speaker 1>get a cut of every trade, but you're sourcing inventory

0:19:47.119 --> 0:19:50.280
<v Speaker 1>that seems to be the most profitable. So Google not

0:19:50.480 --> 0:19:55.040
<v Speaker 1>only runs the exchange, they also are participated on the

0:19:55.080 --> 0:19:58.400
<v Speaker 1>exchange and are selling a raw commodity on that same exchange,

0:19:58.400 --> 0:20:00.800
<v Speaker 1>and so they make money multip both ways from that

0:20:00.880 --> 0:20:04.480
<v Speaker 1>trade from that environment exactly. In fact, they even it

0:20:04.520 --> 0:20:08.639
<v Speaker 1>sounds like Google's pretty good business, yeah, which I thought of?

0:20:08.680 --> 0:20:12.399
<v Speaker 1>That is Facebook similar in that respect, they have a

0:20:12.440 --> 0:20:15.240
<v Speaker 1>similar business. It's slightly different for social media, but similar.

0:20:15.920 --> 0:20:19.880
<v Speaker 1>So I'm curious about the matching of the right add

0:20:19.920 --> 0:20:23.520
<v Speaker 1>to my interest because maybe I'm interested in buying a

0:20:23.640 --> 0:20:26.399
<v Speaker 1>yacht or a new car, some very lucrative thing, or

0:20:26.440 --> 0:20:28.280
<v Speaker 1>if I clicked on the ad someone could make a

0:20:28.280 --> 0:20:30.919
<v Speaker 1>ton of money. But I might also be interested in

0:20:31.040 --> 0:20:33.840
<v Speaker 1>buying a book from Amazon that you know, it's probably

0:20:33.880 --> 0:20:37.640
<v Speaker 1>the margins are small. So how does it balance those

0:20:38.040 --> 0:20:41.760
<v Speaker 1>disparate potential outcomes to figure out which one is the

0:20:41.800 --> 0:20:44.040
<v Speaker 1>best to serve? Well, the best way to describe it

0:20:44.080 --> 0:20:47.199
<v Speaker 1>would be the free market. The DSP is connected to

0:20:47.200 --> 0:20:49.560
<v Speaker 1>several advertisers. Each one of them is willing to bid

0:20:49.600 --> 0:20:52.080
<v Speaker 1>on your impression. So it really comes down to is

0:20:52.240 --> 0:20:55.560
<v Speaker 1>the yacht seller advertiser in the bookseller advertiser? How much

0:20:55.560 --> 0:20:58.960
<v Speaker 1>do they both value your eyeballs? Maybe the yacht seller

0:20:59.080 --> 0:21:01.920
<v Speaker 1>thinks you're not really convert on an ad because he's

0:21:01.920 --> 0:21:03.840
<v Speaker 1>looked up your date and says, oh, well, you know

0:21:04.359 --> 0:21:06.159
<v Speaker 1>you live here in this time. I've never bought a

0:21:06.200 --> 0:21:08.920
<v Speaker 1>yacht before. Yeah, so it's say that you probably would

0:21:08.960 --> 0:21:10.720
<v Speaker 1>in the future, but you've probably bought plenty of books,

0:21:10.760 --> 0:21:13.280
<v Speaker 1>so maybe the yacht seller is not going to fight.

0:21:13.359 --> 0:21:15.879
<v Speaker 1>It's harder for you using the price mechanism than the

0:21:15.920 --> 0:21:19.680
<v Speaker 1>bookseller would. So if in one case, let's say the

0:21:19.720 --> 0:21:23.600
<v Speaker 1>yacht seller bids fifty cents for your eyeballs and the

0:21:23.600 --> 0:21:26.680
<v Speaker 1>bookseller bids a dollar the books, that would win and

0:21:26.680 --> 0:21:28.879
<v Speaker 1>they'll end up paying fifty one cents, just enough to

0:21:28.920 --> 0:21:32.399
<v Speaker 1>beat the yacht sellers bid. Got it, So the bookseller

0:21:32.520 --> 0:21:36.439
<v Speaker 1>might end up bidding fifty one cents and on a

0:21:36.560 --> 0:21:40.040
<v Speaker 1>transaction that you know, maybe we'll make them fifty five

0:21:40.080 --> 0:21:42.720
<v Speaker 1>cents or a dollar or something like that. Right, And

0:21:42.760 --> 0:21:45.400
<v Speaker 1>the idea is you will probably lose money on most

0:21:45.440 --> 0:21:48.600
<v Speaker 1>of these in aggregate, but the winners are real winners.

0:21:49.080 --> 0:21:51.840
<v Speaker 1>And the odds seller occasionally is going to get that

0:21:51.960 --> 0:21:56.320
<v Speaker 1>ad and it's probably going to serve thousands and thousands

0:21:56.320 --> 0:21:59.159
<v Speaker 1>of ads that don't turn to anything, maybe millions, but

0:21:59.240 --> 0:22:02.720
<v Speaker 1>then when they do, those are huge jackpots. Yes, and

0:22:02.880 --> 0:22:05.240
<v Speaker 1>I'll add one more wrinkle. We're talking about ads that

0:22:06.080 --> 0:22:08.760
<v Speaker 1>ads come in many different forms. This isn't just a

0:22:08.840 --> 0:22:12.440
<v Speaker 1>race for eyeballs, could be raising for video ad views.

0:22:12.600 --> 0:22:16.320
<v Speaker 1>Or application installs. Even so I have a sort of

0:22:16.320 --> 0:22:20.600
<v Speaker 1>related question, um sort of maybe even a philosophical question.

0:22:20.920 --> 0:22:24.399
<v Speaker 1>But so much of the online advertising world seems to

0:22:24.400 --> 0:22:29.119
<v Speaker 1>be about targeted advertising. So does anyone just you know,

0:22:29.600 --> 0:22:32.600
<v Speaker 1>throw stuff out there nowadays just on the off chance

0:22:32.680 --> 0:22:37.040
<v Speaker 1>that someone might see a good product and want to

0:22:37.040 --> 0:22:39.439
<v Speaker 1>buy it to Joe's y odd example, you know what

0:22:39.520 --> 0:22:42.280
<v Speaker 1>if someone has a really really nice yacht and they

0:22:42.320 --> 0:22:44.639
<v Speaker 1>think people will buy it if only they were aware

0:22:44.680 --> 0:22:48.040
<v Speaker 1>of it. Sure that does happen. It's also pretty rare

0:22:48.119 --> 0:22:50.840
<v Speaker 1>because in order to actually get a high enough conversion

0:22:50.920 --> 0:22:53.399
<v Speaker 1>ratio for this to be worth the advertiser's time, you

0:22:53.640 --> 0:22:55.800
<v Speaker 1>really have to buy a tremendous amount of volume if

0:22:55.800 --> 0:22:59.120
<v Speaker 1>you're not doing any targeting on who your customer is,

0:22:59.520 --> 0:23:02.119
<v Speaker 1>and now she might be putting up a billboard versus

0:23:02.160 --> 0:23:04.480
<v Speaker 1>sending a direct mail flyer. If you don't know much

0:23:04.520 --> 0:23:06.760
<v Speaker 1>about the person who's engaging on the other side of

0:23:06.800 --> 0:23:10.440
<v Speaker 1>the bye, who knows if they're going to bite? Is there? Though?

0:23:10.520 --> 0:23:15.080
<v Speaker 1>Like sometimes you see like a huge site takeover, like

0:23:15.119 --> 0:23:16.840
<v Speaker 1>on the New York Times or something like that. You'll

0:23:16.880 --> 0:23:21.200
<v Speaker 1>see some massive they'll buy every ad on the website

0:23:21.320 --> 0:23:23.200
<v Speaker 1>or on the front page or something like that. It's

0:23:23.240 --> 0:23:27.119
<v Speaker 1>clearly not particularly targeted. There is still some sort of

0:23:27.119 --> 0:23:29.920
<v Speaker 1>like brand advertising on the internet. Right, Yes, those are

0:23:29.960 --> 0:23:33.960
<v Speaker 1>private auctions, and those are great, but they're really only

0:23:34.000 --> 0:23:38.200
<v Speaker 1>great for publishers who can demand that sort of leverage.

0:23:38.920 --> 0:23:41.240
<v Speaker 1>For bloomber dot com in this example, that would be

0:23:41.280 --> 0:23:43.400
<v Speaker 1>a great example of the site that would have enough

0:23:43.920 --> 0:23:46.920
<v Speaker 1>cashier to pull a private auction. I can imagine plenty

0:23:46.920 --> 0:23:49.000
<v Speaker 1>of brands would want to have exclusive access to the

0:23:49.080 --> 0:23:52.679
<v Speaker 1>eyeballs at the basing dot com. My personal blog probably

0:23:52.720 --> 0:23:54.560
<v Speaker 1>not so much. I'm probably not gonna be able to

0:23:54.640 --> 0:23:56.720
<v Speaker 1>land that big deal with Pepsi or Coca Cola to

0:23:57.119 --> 0:23:59.280
<v Speaker 1>have them take over my site for the next thirty days.

0:23:59.800 --> 0:24:03.520
<v Speaker 1>And that's something that would be negotiated among humans, and

0:24:03.560 --> 0:24:06.080
<v Speaker 1>there would be a deal maybe like there was just

0:24:06.160 --> 0:24:11.159
<v Speaker 1>the big ad conference and canned or people like partied

0:24:11.200 --> 0:24:13.280
<v Speaker 1>on yachts and stuff like that, and those are the

0:24:13.359 --> 0:24:16.280
<v Speaker 1>kinds of deals that get negotiated there rather than through

0:24:16.400 --> 0:24:19.880
<v Speaker 1>some sort of like algorithmic matching engine. Right, and think

0:24:19.920 --> 0:24:23.560
<v Speaker 1>about it if you will. There's the difference between buying

0:24:23.680 --> 0:24:26.280
<v Speaker 1>at the market price on an exchange versus setting up

0:24:26.280 --> 0:24:29.480
<v Speaker 1>an OTC Trade. We like to talk about changes to

0:24:29.560 --> 0:24:33.000
<v Speaker 1>market structure quite a lot on the Pots podcast. Are

0:24:33.040 --> 0:24:37.040
<v Speaker 1>there any big changes or big pressures or disruptions on

0:24:37.080 --> 0:24:40.480
<v Speaker 1>the horizon for the current structure of the way these

0:24:40.480 --> 0:24:43.679
<v Speaker 1>online ads are sold. I'm glad you asked. Let's talk

0:24:43.720 --> 0:24:49.439
<v Speaker 1>about header bidding. Header bidding. Header bidding is what seems

0:24:49.440 --> 0:24:51.800
<v Speaker 1>to be what's going to come next after real time bidding,

0:24:51.960 --> 0:24:54.440
<v Speaker 1>and let's explain what it is and what the motivations

0:24:54.440 --> 0:24:57.399
<v Speaker 1>are behind it. I mentioned Google's DFP double cliff for

0:24:57.440 --> 0:25:01.480
<v Speaker 1>publishers before as an interesting feature. First off, most people

0:25:01.480 --> 0:25:03.639
<v Speaker 1>most of the time use Google for advertising, just in

0:25:03.680 --> 0:25:05.120
<v Speaker 1>the same way that most people most of the time

0:25:05.200 --> 0:25:09.480
<v Speaker 1>use Google for search, and most publishers are content to

0:25:09.520 --> 0:25:12.199
<v Speaker 1>just trust Google to sort of drive the process and

0:25:12.240 --> 0:25:14.280
<v Speaker 1>they don't really dig too much into it because Google

0:25:14.280 --> 0:25:17.359
<v Speaker 1>wouldn't always serve an ad that seems to satisfy both

0:25:17.400 --> 0:25:22.639
<v Speaker 1>the advertisers and the publishers. The reason, in part that

0:25:22.680 --> 0:25:24.240
<v Speaker 1>Google is able to do this, besides the fact that

0:25:24.240 --> 0:25:26.880
<v Speaker 1>they're so great at aggregating data, is what's known as

0:25:26.920 --> 0:25:31.119
<v Speaker 1>the waterfall. Here's how it works. You call out to Google,

0:25:31.960 --> 0:25:34.399
<v Speaker 1>you asked them if they can give an ad to

0:25:34.480 --> 0:25:37.600
<v Speaker 1>you so you can serve it to your visitors. Google

0:25:37.640 --> 0:25:40.040
<v Speaker 1>goes through their inventory to see who the best ad

0:25:40.119 --> 0:25:43.280
<v Speaker 1>is and where it's coming from. They have the option

0:25:43.400 --> 0:25:47.640
<v Speaker 1>of serving it from another exchange or their own exchange addicts,

0:25:48.240 --> 0:25:50.920
<v Speaker 1>so they have the ability to front run basically any

0:25:50.960 --> 0:25:54.159
<v Speaker 1>other advertising ex change if you allow them to. And

0:25:54.480 --> 0:25:57.000
<v Speaker 1>because Google is where all of the publishers show up to,

0:25:57.760 --> 0:25:59.600
<v Speaker 1>all the other exchanges sort of put up with it

0:25:59.880 --> 0:26:03.080
<v Speaker 1>or forced you. Header bidding is meant to change that.

0:26:03.200 --> 0:26:07.240
<v Speaker 1>Header bidding is different from real time bidding, and that

0:26:07.400 --> 0:26:10.920
<v Speaker 1>instead of where in real time bidding, where a publisher

0:26:11.000 --> 0:26:14.440
<v Speaker 1>calls out to a DSP and waits for a response,

0:26:15.440 --> 0:26:19.160
<v Speaker 1>header bidding allows the publisher to call out to multiple

0:26:19.200 --> 0:26:21.520
<v Speaker 1>DSPs all at the same time and select the best

0:26:21.520 --> 0:26:25.600
<v Speaker 1>bid incoming themselves. So you lose the convenience of just

0:26:25.680 --> 0:26:29.320
<v Speaker 1>letting Google drive, but you gain the price competition between

0:26:29.320 --> 0:26:32.600
<v Speaker 1>all of these different bidders. It sounds obviously better for

0:26:32.640 --> 0:26:36.119
<v Speaker 1>the publisher. So why is that not already the norm? Well,

0:26:37.000 --> 0:26:40.920
<v Speaker 1>because Google doesn't like it that way. Most people most

0:26:40.920 --> 0:26:43.600
<v Speaker 1>of the time are actually not as enamored with his

0:26:43.720 --> 0:26:45.920
<v Speaker 1>market mixed structure as you and I are a publisher

0:26:46.000 --> 0:26:50.680
<v Speaker 1>is probably the business of publishing content and doing whatever

0:26:50.720 --> 0:26:55.560
<v Speaker 1>their core businesses. Actually managing and driving this process yourself

0:26:55.960 --> 0:26:59.760
<v Speaker 1>is really tricky. In order to for example, for head

0:26:59.760 --> 0:27:01.280
<v Speaker 1>to be to be really profitable for you, you'd have

0:27:01.320 --> 0:27:03.640
<v Speaker 1>to actually, you know, care about those bids and put

0:27:03.640 --> 0:27:07.199
<v Speaker 1>some thought into whether you might for one partner over another.

0:27:07.840 --> 0:27:12.520
<v Speaker 1>Would you need to build your own technology to determine

0:27:12.680 --> 0:27:17.520
<v Speaker 1>If you're getting multiple bids from multiple exchanges, then it's

0:27:17.560 --> 0:27:19.680
<v Speaker 1>I guess it's on you to actually determine which one

0:27:19.720 --> 0:27:21.679
<v Speaker 1>is the best. Whereas if you're just on one exchange,

0:27:22.200 --> 0:27:24.600
<v Speaker 1>then that determines what's best. And so I imagine to

0:27:24.640 --> 0:27:28.720
<v Speaker 1>take some more supply side infrastructure to build that up. Exactly.

0:27:28.720 --> 0:27:31.520
<v Speaker 1>It's the difference between you know, setting up effectually your

0:27:31.520 --> 0:27:34.720
<v Speaker 1>own prop shop for ads versus just trusting your broker

0:27:34.760 --> 0:27:36.960
<v Speaker 1>to disup why you with what you're asking for. Well,

0:27:37.000 --> 0:27:41.240
<v Speaker 1>that has been absolutely fascinating discussion, and I just love

0:27:41.320 --> 0:27:45.440
<v Speaker 1>the fact that the kind of market structure that topics

0:27:45.520 --> 0:27:47.920
<v Speaker 1>that Tracy and I talked about frequently on this show

0:27:48.200 --> 0:27:50.840
<v Speaker 1>are actually at the root of how the entire Internet works.

0:27:50.840 --> 0:27:53.199
<v Speaker 1>And I didn't even realize that so I'll shooting Bedelli.

0:27:53.320 --> 0:27:55.119
<v Speaker 1>Thank you very much for joining us. Thank you for

0:27:55.160 --> 0:28:13.520
<v Speaker 1>having me, Joe Yea. So, Tracy, you said that you've

0:28:13.520 --> 0:28:17.040
<v Speaker 1>been thinking about online ads and you've been wondering about

0:28:17.040 --> 0:28:19.640
<v Speaker 1>how they get served up to you. Do you feel

0:28:19.680 --> 0:28:22.400
<v Speaker 1>that your questions have been answered? I mean, I definitely

0:28:22.400 --> 0:28:25.400
<v Speaker 1>have a better sense of it now, but I will

0:28:25.440 --> 0:28:28.679
<v Speaker 1>never look at a web page loading the same ever again.

0:28:29.160 --> 0:28:32.000
<v Speaker 1>You know, every time I go someplace, I'm going to

0:28:32.119 --> 0:28:36.360
<v Speaker 1>be thinking about the intense auction process that's currently happening

0:28:36.359 --> 0:28:38.840
<v Speaker 1>in the background with a bunch of people trying to

0:28:38.920 --> 0:28:44.040
<v Speaker 1>bid on my specific profile. It is pretty amazing. I mean,

0:28:44.200 --> 0:28:48.400
<v Speaker 1>sometimes websites or absolute load a little bit slower than

0:28:48.440 --> 0:28:51.600
<v Speaker 1>you would like, but even with that, it is pretty amazing.

0:28:51.960 --> 0:28:56.120
<v Speaker 1>How much has to happen in that short period of time.

0:28:56.560 --> 0:28:59.840
<v Speaker 1>You don't even notice it, but all this information goes out,

0:29:00.000 --> 0:29:04.280
<v Speaker 1>it's analyzed, it's put into some profile. There's a bitting habit,

0:29:04.400 --> 0:29:06.960
<v Speaker 1>a bitty war happens in an ad is served to

0:29:07.200 --> 0:29:10.080
<v Speaker 1>basically in an instant. I don't know if it's exactly

0:29:10.160 --> 0:29:13.360
<v Speaker 1>a miracle, because it's kind of creepy. It's it's kind

0:29:13.360 --> 0:29:16.800
<v Speaker 1>of creepy, right, but it is kind of amazing, isn't it. Yeah,

0:29:17.240 --> 0:29:19.400
<v Speaker 1>I guess it gets to a point that we've talked

0:29:19.440 --> 0:29:22.800
<v Speaker 1>about before on the show, which is also about inequality

0:29:22.880 --> 0:29:27.680
<v Speaker 1>and the ability of algorithms to sort of reinforce a

0:29:27.760 --> 0:29:31.320
<v Speaker 1>certain position that a person is already in. So, for instance,

0:29:31.880 --> 0:29:34.440
<v Speaker 1>you know, if when you're twenty four years old, you

0:29:34.480 --> 0:29:38.240
<v Speaker 1>need to pay day loan to survive until your next

0:29:38.320 --> 0:29:42.080
<v Speaker 1>month's paycheck comes in, and you search online for payday loans,

0:29:42.800 --> 0:29:46.360
<v Speaker 1>those ads might follow you around for years and years

0:29:46.400 --> 0:29:49.800
<v Speaker 1>to come. Um, when other people who have never needed

0:29:49.800 --> 0:29:53.400
<v Speaker 1>to pay day loan might see, you know, advertisements for

0:29:53.400 --> 0:29:56.560
<v Speaker 1>four one case or things like that. I've never really

0:29:56.600 --> 0:29:59.240
<v Speaker 1>thought of it like that before, but I've been thinking.

0:29:59.640 --> 0:30:02.680
<v Speaker 1>We had a whole episode on this, Joe. No, no, no, absolutely,

0:30:02.760 --> 0:30:05.960
<v Speaker 1>I never thought about that before with regards to online

0:30:06.000 --> 0:30:09.959
<v Speaker 1>ads specifically, But I have been thinking about how like

0:30:10.040 --> 0:30:12.120
<v Speaker 1>I went through a phase where I needed to buy

0:30:12.160 --> 0:30:14.880
<v Speaker 1>some clothes. I need to buy some shoes, and then

0:30:14.920 --> 0:30:17.400
<v Speaker 1>I got served tons of ads for weeks and months

0:30:17.400 --> 0:30:21.720
<v Speaker 1>on and on similar stuff. And then I started worrying that, wait,

0:30:21.800 --> 0:30:24.840
<v Speaker 1>am I buying more than I need to now on

0:30:25.000 --> 0:30:29.040
<v Speaker 1>these things? Because I went through this period where I

0:30:29.080 --> 0:30:32.120
<v Speaker 1>made these purchases, and so thinking about the sort of

0:30:32.200 --> 0:30:35.440
<v Speaker 1>lasting impacts of a certain behavior on the type of

0:30:35.440 --> 0:30:37.920
<v Speaker 1>ads were inclined to see for a long time is

0:30:37.960 --> 0:30:41.080
<v Speaker 1>really fascinating and absolutely does speak to that discussion we

0:30:41.120 --> 0:30:44.840
<v Speaker 1>had earlier about the influence of algorithms on our lives. Yeah,

0:30:44.960 --> 0:30:48.440
<v Speaker 1>you cannot escape your Internet history, no matter how hard

0:30:48.560 --> 0:30:51.720
<v Speaker 1>you try. All right, Uh, well, this has been another

0:30:51.760 --> 0:30:55.200
<v Speaker 1>episode of the Odd Thoughts podcast. I'm Tracy Alloway. You

0:30:55.200 --> 0:30:58.560
<v Speaker 1>can follow me on Twitter at Tracy Alloway, and I'm

0:30:58.640 --> 0:31:01.280
<v Speaker 1>Joe Wise though you could allow me on Twitter at

0:31:01.280 --> 0:31:05.200
<v Speaker 1>the Stalwart, and you should follow our producer tofur Foreheads

0:31:05.280 --> 0:31:08.360
<v Speaker 1>on Twitter at Foreheast, as well as the Bloomberg head

0:31:08.400 --> 0:31:13.240
<v Speaker 1>of podcasts, Francesca Levie at Francesca Today. Thanks for listening.