Digital advertising is the economic backbone of the Internet. It allows websites and apps to monetize their userbase without having to charge them fees, while the emergence of targeted ads allows this to be accomplished affordably and with less wasted time wasted.
This advertising is facilitated by intermediaries using the “adtech stack,” through which advertisers and publishers are matched via auctions and ads ultimately are served to relevant users. This intermediation process has advanced enormously over the past three decades. Some now allege, however, that this market is being monopolized by its largest participant: Google.
A lawsuit filed by the State of Texas and nine other states in December 2020 alleges, among other things, that Google has engaged in anticompetitive conduct related to its online display advertising business. Those 10 original state plaintiffs were joined by another four states and the Commonwealth of Puerto Rico in March 2021, while South Carolina and Louisiana have also moved to be added as additional plaintiffs. Google also faces a pending antitrust lawsuit brought by the U.S. Justice Department (DOJ) and 14 states (originally 11) related to the company’s distribution agreements, as well as a separate action by the State of Utah, 35 other states, and the District of Columbia related to its search design.
In recent weeks, it has been reported that the DOJ may join the Texas suit or bring its own similar action against Google in the coming months. If it does, it should learn from the many misconceptions and errors in the Texas complaint that leave it on dubious legal and economic grounds.
The Texas complaint identifies at least five relevant markets within the adtech stack that it alleges Google either is currently monopolizing or is attempting to monopolize:
Publisher ad servers;
Display ad exchanges;
Display ad networks;
Ad-buying tools for large advertisers; and
Ad-buying tools for small advertisers.
None of these constitute an economically relevant product market for antitrust purposes, since each “market” is defined according to how superficially similar the products are in function, not how substitutable they are. Nevertheless, the Texas complaint vaguely echoes how markets were conceived in the “Roadmap” for a case against Google’s advertising business, published last year by the Omidyar Network, which may ultimately influence any future DOJ complaint, as well.
The Omidyar Roadmap narrows the market from media advertising to digital advertising, then to the open supply of display ads, which comprises only 9% of the total advertising spending and less than 20% of digital advertising, as shown in the figure below. It then further narrows the defined market to the intermediation of the open supply of display ads. Once the market has been sufficiently narrowed, the Roadmap authors conclude that Google’s market share is “perhaps sufficient to confer market power.”
While whittling down the defined market may achieve the purposes of sketching a roadmap to prosecute Google, it also generates a mishmash of more than a dozen relevant markets for digital display and video advertising. In many of these, Google doesn’t have anything approaching market power, while, in some, Facebook is the most dominant player.
The Texas complaint adopts a non-economic approach to market definition. It ignores potential substitutability between different kinds of advertising, both online and offline, which can serve as a competitive constraint on the display advertising market. The complaint considers neither alternative forms of display advertising, such as social media ads, nor alternative forms of advertising, such as search ads or non-digital ads—all of which can and do act as substitutes. It is possible, at the very least, that advertisers who choose to place ads on third-party websites may switch to other forms of advertising if the price of third-party website advertising was above competitive levels. To ignore this possibility, as the Texas complaint does, is to ignore the entire purpose of defining the relevant antitrust market altogether.
Offline advertising vs. online advertising
The fact that offline and online advertising employ distinct processes does not consign them to economically distinct markets. Indeed, online advertising has manifestly drawn advertisers from offline markets, just as previous technological innovations drew advertisers from other pre-existing channels.
Moreover, there is evidence that, in some cases, offline and online advertising are substitute products. For example, economists Avi Goldfarb and Catherine Tucker demonstrate that display advertising pricing is sensitive to the availability of offline alternatives. They conclude:
We believe our studies refute the hypothesis that online and offline advertising markets operate independently and suggest a default position of substitution. Online and offline advertising markets appear to be closely related. That said, it is important not to draw any firm conclusions based on historical behavior.
Display ads vs. search ads
There is perhaps even more reason to doubt that online display advertising constitutes a distinct, economically relevant market from online search advertising.
Although casual and ill-informed claims are often made to the contrary, various forms of targeted online advertising are significant competitors of each other. Bo Xing and Zhanxi Lin report firms spread their marketing budgets across these different sources of online marketing, and “search engine optimizers”—firms that help websites to maximize the likelihood of a valuable “top-of-list” organic search placement—attract significant revenue. That is, all of these different channels vie against each other for consumer attention and offer advertisers the ability to target their advertising based on data gleaned from consumers’ interactions with their platforms.
Facebook built a business on par with Google’s thanks in large part to advertising, by taking advantage of users’ more extended engagement with the platform to assess relevance and by enabling richer, more engaged advertising than previously appeared on Google Search. It’s an entirely different model from search, but one that has turned Facebook into a competitive ad platform.
‘Open’ display advertising vs. ‘owned-and-operated’ display advertising
The United Kingdom’s Competition and Markets Authority (like the Omidyar Roadmap report) has identified two distinct channels of display advertising, which they term “owned and operated” and “open.” The CMA concludes:
Over half of display expenditure is generated by Facebook, which owns both the Facebook platform and Instagram. YouTube has the second highest share of display advertising and is owned by Google. The open display market, in which advertisers buy inventory from many publishers of smaller scale (for example, newspapers and app providers) comprises around 32% of display expenditure.
The Texas complaint does not directly address the distinction between open and owned and operated, but it does allege anticompetitive conduct by Google with respect to YouTube in a separate “inline video advertising market.”
The CMA finds that the owned-and-operated channel mostly comprises large social media platforms, which sell their own advertising inventory directly to advertisers or media agencies through self-service interfaces, such as Facebook Ads Manager or Snapchat Ads Manager. In contrast, in the open display channel, publishers such as online newspapers and blogs sell their inventory to advertisers through a “complex chain of intermediaries.” Through these, intermediaries run auctions that match advertisers’ ads to publisher inventory of ad space. In both channels, nearly all transactions are run through programmatic technology.
The CMA concludes that advertisers “largely see” the open and the owned-and-operated channels as substitutes. According to the CMA, an advertiser’s choice of one channel over the other is driven by each channel’s ability to meet the key performance metrics the advertising campaign is intended to achieve.
The Omidyar Roadmap argues, instead, that the CMA too narrowly focuses on the perspective of advertisers. The Roadmap authors claim that “most publishers” do not control supply that is “owned and operated.” As a result, they conclude that publishers “such as gardenandgun.com or hotels.com” do not have any owned-and-operated supply and can generate revenues from their supply “only through the Google-dominated adtech stack.”
But this is simply not true. For example, in addition to inventory in its print media, Garden & Gun’s “Digital Media Kit” indicates that the publisher has several sources of owned-and-operated banner and video supply, including the desktop, mobile, and tablet ads on its website; a “homepage takeover” of its website; branded/sponsored content; its email newsletters; and its social media accounts. Hotels.com, an operating company of Expedia Group, has its own owned-and-operated search inventory, which it sells through its “Travel Ads Sponsored Listing,” as well owned-and-operated supply of standard and custom display ads.
Given that both perform the same function and employ similar mechanisms for matching inventory with advertisers, it is unsurprising that both advertisers and publishers appear to consider the owned-and-operated channel and the open channel to be substitutes.
[TOTM: The following is part of a digital symposium by TOTM guests and authors on the law, economics, and policy of the antitrust lawsuits against Google. The entire series of posts is available here.]
U.S. antitrust regulators have a history of narrowly defining relevant markets—often to the point of absurdity—in order to create market power out of thin air. The Federal Trade Commission (FTC) famously declared that Whole Foods and Wild Oats operated in the “premium natural and organic supermarkets market”—a narrowly defined market designed to exclude other supermarkets carrying premium natural and organic foods, such as Walmart and Kroger. Similarly, for the Staples-Office Depot merger, the FTC
narrowly defined the relevant market as “office superstore” chains, which excluded general merchandisers such as Walmart, K-Mart and Target, who at the time accounted for 80% of office supply sales.
Texas Attorney General Ken Paxton’s complaint against Google’s advertising business, joined by the attorneys general of nine other states, continues this tradition of narrowing market definition to shoehorn market dominance where it may not exist.
For example, one recent paper critical of Google’s advertising business narrows the relevant market first from media advertising to digital advertising, then to the “open” supply of display ads and, finally, even further to the intermediation of the open supply of display ads. Once the market has been sufficiently narrowed, the authors conclude Google’s market share is “perhaps sufficient to confer market power.”
While whittling down market definitions may achieve the authors’ purpose of providing a roadmap to prosecute Google, one byproduct is a mishmash of market definitions that generates as many as 16 relevant markets for digital display and video advertising, in many of which Google doesn’t have anything approaching market power (and in some of which, in fact, Facebook, and not Google, is the most dominant player).
The Texas complaint engages in similar relevant-market gerrymandering. It claims that, within digital advertising, there exist several relevant markets and that Google monopolizes four of them:
Publisher ad servers, which manage the inventory of a publisher’s (e.g., a newspaper’s website or a blog) space for ads;
Display ad exchanges, the “marketplace” in which auctions directly match publishers’ selling of ad space with advertisers’ buying of ad space;
Display ad networks, which are similar to exchanges, except a network acts as an intermediary that collects ad inventory from publishers and sells it to advertisers; and
Display ad-buying tools, which include demand-side platforms that collect bids for ad placement with publishers.
The complaint alleges, “For online publishers and advertisers alike, the different online advertising formats are not interchangeable.” But this glosses over a bigger challenge for the attorneys general: Is online advertising a separate relevant market from offline advertising?
Digital advertising, of which display advertising is a small part, is only one of many channels through which companies market their products. About half of today’s advertising spending in the United States goes to digital channels, up from about 10% a decade ago. Approximately 30% of ad spending goes to television, with the remainder going to radio, newspapers, magazines, billboards and other “offline” forms of media.
Physical newspapers now account for less than 10% of total advertising spending. Traditionally, newspapers obtained substantial advertising revenues from classified ads. As internet usage increased, newspaper classifieds have been replaced by less costly and more effective internet classifieds—such as those offered by Craigslist—or targeted ads on Google Maps or Facebook.
The price of advertising has fallen steadily over the past decade, while output has risen. Spending on digital advertising in the United States grew from $26 billion in 2010 to nearly $130 billion in 2019, an average increase of 20% a year. Over the same period, the producer price index (PPI) for internet advertising sales declined by nearly 40%. Rising spending in the face of falling prices indicates the number of ads bought and sold increased by approximately 27% a year.
Since 2000, advertising spending has been falling as a share of gross domestic product, with online advertising growing as a share of that. The combination of increasing quantity, decreasing cost and increasing total revenues are consistent with a growing and increasingly competitive market, rather than one of rising concentration and reduced competition.
There is little or no empirical data evaluating the extent to which online and offline advertising constitute distinct markets or the extent to which digital display is a distinct submarket of online advertising. As a result, analysis of adtech competition has relied on identifying several technical and technological factors—as well as the say-so of participants in the business—that the analysts assert distinguish online from offline and establish digital display (versus digital search) as a distinct submarket. This approach has been used and accepted, especially in cases in which pricing data has not been available.
But the pricing information that is available raises questions about the extent to which online advertising is a distinct market from offline advertising. For example, Avi Goldfarb and Catherine Tucker find that, when local regulations prohibit offline direct advertising, search advertising is more expensive, indicating that search and offline advertising are substitutes. In other research, they report that online display advertising circumvents, in part, local bans on offline billboard advertising for alcoholic beverages. In both studies, Goldfarb and Tucker conclude their results suggest online and offline advertising are substitutes. They also conclude this substitution suggests that online and offline markets should be considered together in the context of antitrust.
While this information is not sufficient to define a broader relevant market, it raises questions regarding solely relying on the technical or technological distinctions and the say-so of market participants.
In the United States, plaintiffs do not get to define the relevant market. That is up to the judge or the jury. Plaintiffs have the burden to convince the court that a proposed narrow market definition is the correct one. With strong evidence that online and offline ads are substitutes, the court should not blindly accept the gerrymandered market definitions posited by the attorneys general.
This week the Senate will hold a hearing into potential anticompetitive conduct by Google in its display advertising business—the “stack” of products that it offers to advertisers seeking to place display ads on third-party websites. It is also widely reported that the Department of Justice is preparing a lawsuit against Google that will likely include allegations of anticompetitive behavior in this market, and is likely to be joined by a number of state attorneys general in that lawsuit. Meanwhile, several papers have been published detailing these allegations.
This aspect of digital advertising can be incredibly complex and difficult to understand. Here we explain how display advertising fits in the broader digital advertising market, describe how display advertising works, consider the main allegations against Google, and explain why Google’s critics are misguided to focus on antitrust as a solution to alleged problems in the market (even if those allegations turn out to be correct).
Display advertising in context
Over the past decade, the price of advertising has fallen steadily while output has risen. Spending on digital advertising in the US grew from $26 billion in 2010 to nearly $130 billion in 2019, an average increase of 20% a year. Over the same period the Producer Price Index for Internet advertising sales declined by nearly 40%. The rising spending in the face of falling prices indicates the number of ads bought and sold increased by approximately 27% a year. Since 2000, advertising spending has been falling as a share of GDP, with online advertising growing as a share of that. The combination of increasing quantity, decreasing cost, and increasing total revenues are consistent with a growing and increasingly competitive market.
Display advertising on third-party websites is only a small subsection of the digital advertising market, comprising approximately 15-20% of digital advertising spending in the US. The rest of the digital advertising market is made up of ads on search results pages on sites like Google, Amazon and Kayak, on people’s Instagram and Facebook feeds, listings on sites like Zillow (for houses) or Craigslist, referral fees paid to price comparison websites for things like health insurance, audio and visual ads on services like Spotify and Hulu, and sponsored content from influencers and bloggers who will promote products to their fans.
And digital advertising itself is only one of many channels through which companies can market their products. About 53% of total advertising spending in the United States goes on digital channels, with 30% going on TV advertising and the rest on things like radio ads, billboards and other more traditional forms of advertising. A few people still even read physical newspapers and the ads they contain, although physical newspapers’ bigger money makers have traditionally been classified ads, which have been replaced by less costly and more effective internet classifieds, such as those offered by Craigslist, or targeted ads on Google Maps or Facebook.
Indeed, it should be noted that advertising itself is only part of the larger marketing market of which non-advertising marketing communication—e.g., events, sales promotion, direct marketing, telemarketing, product placement—is as big a part as is advertising (each is roughly $500bn globally); it just hasn’t been as thoroughly disrupted by the Internet yet. But it is a mistake to assume that digital advertising is not a part of this broader market. And of that $1tr global market, Internet advertising in total occupies only about 18%—and thus display advertising only about 3%.
Ad placement is only one part of the cost of digital advertising. An advertiser trying to persuade people to buy its product must also do market research and analytics to find out who its target market is and what they want. Moreover, there are the costs of designing and managing a marketing campaign and additional costs to analyze and evaluate the effectiveness of the campaign.
Nevertheless, one of the most straightforward ways to earn money from a website is to show ads to readers alongside the publisher’s content. To satisfy publishers’ demand for advertising revenues, many services have arisen to automate and simplify the placement of and payment for ad space on publishers’ websites. Google plays a large role in providing these services—what is referred to as “open display” advertising. And it is Google’s substantial role in this space that has sparked speculation and concern among antitrust watchdogs and enforcement authorities.
Before delving into the open display advertising market, a quick note about terms. In these discussions, “advertisers” are businesses that are trying to sell people stuff. Advertisers include large firms such as Best Buy and Disney and small businesses like the local plumber or financial adviser. “Publishers” are websites that carry those ads, and publish content that users want to read. Note that the term “publisher” refers to all websites regardless of the things they’re carrying: a blog about the best way to clean stains out of household appliances is a “publisher” just as much as the New York Times is.
Under this broad definition, Facebook, Instagram, and YouTube are also considered publishers. In their role as publishers, they have a common goal: to provide content that attracts users to their pages who will act on the advertising displayed. “Users” are you and me—the people who want to read publishers’ content, and to whom advertisers want to show ads. Finally, “intermediaries” are the digital businesses, like Google, that sit in between the advertisers and the publishers, allowing them to do business with each other without ever meeting or speaking.
The display advertising market
If you’re an advertiser, display advertising works like this: your company—one that sells shoes, let’s say—wants to reach a certain kind of person and tell her about the company’s shoes. These shoes are comfortable, stylish, and inexpensive. You use a tool like Google Ads (or, if it’s a big company and you want a more expansive campaign over which you have more control, Google Marketing Platform) to design and upload an ad, and tell Google about the people you want to read—their age and location, say, and/or characterizations of their past browsing and searching habits (“interested in sports”).
Using that information, Google finds ad space on websites whose audiences match the people you want to target. This ad space is auctioned off to the highest bidder among the range of companies vying, with your shoe company, to reach users matching the characteristics of the website’s users. Thanks to tracking data, it doesn’t just have to be sports-relevant websites: as a user browses sports-related sites on the web, her browser picks up files (cookies) that will tag her as someone potentially interested in sports apparel for targeting later.
So a user might look at a sports website and then later go to a recipe blog, and there receive the shoes ad on the basis of her earlier browsing. You, the shoe seller, hope that she will either click through and buy (or at least consider buying) the shoes when she sees those ads, but one of the benefits of display advertising over search advertising is that—as with TV ads or billboard ads—just seeing the ad will make her aware of the product and potentially more likely to buy it later. Advertisers thus sometimes pay on the basis of clicks, sometimes on the basis of views, and sometimes on the basis of conversion (when a consumer takes an action of some sort, such as making a purchase or filling out a form).
That’s the advertiser’s perspective. From the publisher’s perspective—the owner of that recipe blog, let’s say—you want to auction ad space off to advertisers like that shoe company. In that case, you go to an ad server—Google’s product is called AdSense—give them a little bit of information about your site, and add some html code to your website. These ad servers gather information about your content (e.g., by looking at keywords you use) and your readers (e.g., by looking at what websites they’ve used in the past to make guesses about what they’ll be interested in) and places relevant ads next to and among your content. If they click, lucky you—you’ll get paid a few cents or dollars.
Apart from privacy concerns about the tracking of users, the really tricky and controversial part here concerns the way scarce advertising space is allocated. Most of the time, it’s done through auctions that happen in real time: each time a user loads a website, an auction is held in a fraction of a second to decide which advertiser gets to display an ad. The longer this process takes, the slower pages load and the more likely users are to get frustrated and go somewhere else.
As well as the service hosting the auction, there are lots of little functions that different companies perform that make the auction and placement process smoother. Some fear that by offering a very popular product integrated end to end, Google’s “stack” of advertising products can bias auctions in favour of its own products. There’s also speculation that Google’s product is so tightly integrated and so effective at using data to match users and advertisers that it is not viable for smaller rivals to compete.
We’ll discuss this speculation and fear in more detail below. But it’s worth bearing in mind that this kind of real-time bidding for ad placement was not always the norm, and is not the only way that websites display ads to their users even today. Big advertisers and websites often deal with each other directly. As with, say, TV advertising, large companies advertising often have a good idea about the people they want to reach. And big publishers (like popular news websites) often have a good idea about who their readers are. For example, big brands often want to push a message to a large number of people across different customer types as part of a broader ad campaign.
Of these kinds of direct sales, sometimes the space is bought outright, in advance, and reserved for those advertisers. In most cases, direct sales are run through limited, intermediated auction services that are not open to the general market. Put together, these kinds of direct ad buys account for close to 70% of total US display advertising spending. The remainder—the stuff that’s left over after these kinds of sales have been done—is typically sold through the real-time, open display auctions described above.
Different adtech products compete on their ability to target customers effectively, to serve ads quickly (since any delay in the auction and ad placement process slows down page load times for users), and to do so inexpensively. All else equal (including the effectiveness of the ad placement), advertisers want to pay the lowest possible price to place an ad. Similarly, publishers want to receive the highest possible price to display an ad. As a result, both advertisers and publishers have a keen interest in reducing the intermediary’s “take” of the ad spending.
This is all a simplification of how the market works. There is not one single auction house for ad space—in practice, many advertisers and publishers end up having to use lots of different auctions to find the best price. As the market evolved to reach this state from the early days of direct ad buys, new functions that added efficiency to the market emerged.
In the early years of ad display auctions, individual processes in the stack were performed by numerous competing companies. Through a process of “vertical integration” some companies, such as Google, brought these different processes under the same roof, with the expectation that integration would streamline the stack and make the selling and placement of ads more efficient and effective. The process of vertical integration in pursuit of efficiency has led to a more consolidated market in which Google is the largest player, offering simple, integrated ad buying products to advertisers and ad selling products to publishers.
Google is by no means the only integrated adtech service provider, however: Facebook, Amazon, Verizon, AT&T/Xandr, theTradeDesk, LumenAd, Taboola and others also provide end-to-end adtech services. But, in the market for open auction placement on third-party websites, Google is the biggest.
The cases against Google
The UK’s Competition and Markets Authority (CMA) carried out a formal study into the digital advertising market between 2019 and 2020, issuing its final report in July of this year. Although also encompassing Google’s Search advertising business and Facebook’s display advertising business (both of which relate to ads on those companies “owned and operated” websites and apps), the CMA study involved the most detailed independent review of Google’s open display advertising business to date.
That study did not lead to any competition enforcement proceedings, but it did conclude that Google’s vertically integrated products led to conflicts of interest that could lead it to behaving in ways that did not benefit the advertisers and publishers that use it. One example was Google’s withholding of certain data from publishers that would make it easier for them to use other ad selling products; another was the practice of setting price floors that allegedly led advertisers to pay more than they would otherwise.
Instead the CMA recommended the setting up of a “Digital Markets Unit” (DMU) that could regulate digital markets in general, and a code of conduct for Google and Facebook (and perhaps other large tech platforms) intended to govern their dealings with smaller customers.
The CMA’s analysis is flawed, however. For instance, it makes big assumptions about the dependency of advertisers on display advertising, largely assuming that they would not switch to other forms of advertising if prices rose, and it is light on economics. But factually it is the most comprehensively researched investigation into digital advertising yet published.
While the Scott Morton and Dinielli paper is extremely broad, it also suffers from a number of problems.
One, because it was released before the CMA’s final report, it is largely based on the interim report released months earlier by the CMA, halfway through the market study in December 2019. This means that several of its claims are out of date. For example, it makes much of the possibility raised by the CMA in its interim report that Google may take a larger cut of advertising spending than its competitors, and claims made in another report that Google introduces “hidden” fees that increases the overall cut it takes from ad auctions.
But in the final report, after further investigation, the CMA concludes that this is not the case. In the final report, the CMA describes its analysis of all Google Ad Manager open auctions related to UK web traffic during the period between 8–14 March 2020 (involving billions of auctions). This, according to the CMA, allowed it to observe any possible “hidden” fees as well. The CMA concludes:
Our analysis found that, in transactions where both Google Ads and Ad Manager (AdX) are used, Google’s overall take rate is approximately 30% of advertisers’ spend. This is broadly in line with (or slightly lower than) our aggregate market-wide fee estimate outlined above. We also calculated the margin between the winning bid and the second highest bid in AdX for Google and non-Google DSPs, to test whether Google was systematically able to win with a lower margin over the second highest bid (which might have indicated that they were able to use their data advantage to extract additional hidden fees). We found that Google’s average winning margin was similar to that of non-Google DSPs. Overall, this evidence does not indicate that Google is currently extracting significant hidden fees. As noted below, however, it retains the ability and incentive to do so. (p. 275, emphasis added)
Scott Morton and Dinielli also misquote and/or misunderstand important sections of the CMA interim report as relating to display advertising when, in fact, they relate to search. For example, Scott Morton and Dinielli write that the “CMA concluded that Google has nearly insurmountable advantages in access to location data, due to the location information [uniquely available to it from other sources].” (p. 15). The CMA never makes any claim of “insurmountable advantage,” however. Rather, to support the claim, Scott Morton and Dinielli cite to a portion of the CMA interim report recounting a suggestion made by Microsoft regarding the “critical” value of location data in providing relevant advertising.
But that portion of the report, as well as the suggestion made by Microsoft, is about search advertising. While location data may also be valuable for display advertising, it is not clear that the GPS-level data that is so valuable in providing mobile search ad listings (for a nearby cafe or restaurant, say) is particularly useful for display advertising, which may be just as well-targeted by less granular, city- or county-level location data, which is readily available from a number of sources. In any case, Scott Morton and Dinielli are simply wrong to use a suggestion offered by Microsoft relating to search advertising to demonstrate the veracity of an assertion about a conclusion drawn by the CMA regarding display advertising.
Scott Morton and Dinielli also confusingly word their own judgements about Google’s conduct in ways that could be misinterpreted as conclusions by the CMA:
The CMA reports that Google has implemented an anticompetitive sales strategy on the publisher ad server end of the intermediation chain. Specifically, after purchasing DoubleClick, which became its publisher ad server, Google apparently lowered its prices to publishers by a factor of ten, at least according to one publisher’s account related to the CMA. (p. 20)
In fact, the CMA does not conclude that Google lowering its prices was an “anticompetitive sales strategy”—it does not use these words at all—and what Scott Morton and Dinielli are referring to is a claim by a rival ad server business, Smart, that Google cutting its prices after acquiring Doubleclick led to Google expanding its market share. Apart from the misleading wording, it is unclear why a competition authority should consider it to be “anticompetitive” when prices are falling and kept low, and—as Smart reported to the CMA—its competitor’s response is to enhance its own offering.
The case that remains
Stripping away the elements of Scott Morton and Dinielli’s case that seem unsubstantiated by a more careful reading of the CMA reports, and with the benefit of the findings in the CMA’s final report, we are left with a case that argues that Google self-preferences to an unreasonable extent, giving itself a product that is as successful as it is in display advertising only because of Google’s unique ability to gain advantage from its other products that have little to do with display advertising. Because of this self-preferencing, they might argue, innovative new entrants cannot compete on an equal footing, so the market loses out on incremental competition because of the advantages Google gets from being the world’s biggest search company, owning YouTube, running Google Maps and Google Cloud, and so on.
The most significant examples of this are Google’s use of data from other products—like location data from Maps or viewing history from YouTube—to target ads more effectively; its ability to enable advertisers placing search ads to easily place display ads through the same interface; its introduction of faster and more efficient auction processes that sidestep the existing tools developed by other third-party ad exchanges; and its design of its own tool (“open bidding”) for aggregating auction bids for advertising space to compete with (rather than incorporate) an alternative tool (“header bidding”) that is arguably faster, but costs more money to use.
These allegations require detailed consideration, and in a future paper we will attempt to assess them in detail. But in thinking about them now it may be useful to consider the remedies that could be imposed to address them, assuming they do diminish the ability of rivals to compete with Google: what possible interventions we could make in order to make the market work better for advertisers, publishers, and users.
We can think of remedies as falling into two broad buckets: remedies that stop Google from doing things that improve the quality of its own offerings, thus making it harder for others to keep up; and remedies that require it to help rivals improve their products in ways otherwise accessible only to Google (e.g., by making Google’s products interoperable with third-party services) without inherently diminishing the quality of Google’s own products.
The first camp of these, what we might call “status quo minus,” includes rules banning Google from using data from its other products or offering single order forms for advertisers, or, in the extreme, a structural remedy that “breaks up” Google by either forcing it to sell off its display ad business altogether or to sell off elements of it.
What is striking about these kinds of interventions is that all of them “work” by making Google worse for those that use it. Restrictions on Google’s ability to use data from other products, for example, will make its service more expensive and less effective for those who use it. Ads will be less well-targeted and therefore less effective. This will lead to lower bids from advertisers. Lower ad prices will be transmitted through the auction process to produce lower payments for publishers. Reduced publisher revenues will mean some content providers exit. Users will thus be confronted with less available content and ads that are less relevant to them and thus, presumably, more annoying. In other words: No one will be better off, and most likely everyone will be worse off.
The reason a “single order form” helps Google is that it is useful to advertisers, the same way it’s useful to be able to buy all your groceries at one store instead of lots of different ones. Similarly, vertical integration in the “ad stack” allows for a faster, cheaper, and simpler product for users on all sides of the market. A different kind of integration that has been criticized by others, where third-party intermediaries can bid more quickly if they host on Google Cloud, benefits publishers and users because it speeds up auction time, allowing websites to load faster. So does Google’s unified alternative to “header bidding,” giving a speed boost that is apparently valuable enough to publishers that they will pay for it.
So who would benefit from stopping Google from doing these things, or even forcing Google to sell its operations in this area? Not advertisers or publishers. Maybe Google’s rival ad intermediaries would; presumably, artificially hamstringing Google’s products would make it easier for them to compete with Google. But if so, it’s difficult to see how this would be an overall improvement. It is even harder to see how this would improve the competitive process—the very goal of antitrust. Rather, any increase in the competitiveness of rivals would result not from making their products better, but from making Google’s product worse. That is a weakening of competition, not its promotion.
On the other hand, interventions that aim to make Google’s products more interoperable at least do not fall prey to this problem. Such “status quo plus” interventions would aim to take the benefits of Google’s products and innovations and allow more companies to use them to improve their own competing products. Not surprisingly, such interventions would be more in line with the conclusions the CMA came to than the divestitures and operating restrictions proposed by Scott Morton and Dinielli, as well as (reportedly) state attorneys general considering a case against Google.
But mandated interoperability raises a host of different concerns: extensive and uncertain rulemaking, ongoing regulatory oversight, and, likely, price controls, all of which would limit Google’s ability to experiment with and improve its products. The history of such mandated duties to deal or compulsory licenses is a troubled one, at best. But even if, for the sake of argument, we concluded that these kinds of remedies were desirable, they are difficult to impose via an antitrust lawsuit of the kind that the Department of Justice is expected to launch. Most importantly, if the conclusion of Google’s critics is that Google’s main offense is offering a product that is just too good to compete with without regulating it like a utility, with all the costs to innovation that that would entail, maybe we ought to think twice about whether an antitrust intervention is really worth it at all.