Competition Law and Attention Brokerage Markets

1. Introduction

Attention brokerage markets are markets in which businesses compete to obtain, measure, package, allocate, or sell users' attention to advertisers, content providers, merchants, political organisations, app developers, and other commercial actors.

Traditional advertising markets already involve attention, but digital platforms have transformed attention into a sophisticated economic asset. Search engines, social-media platforms, video services, app stores, online marketplaces, ad exchanges, recommendation systems, and AI assistants can intermediate between:

Users → Platform → Advertisers / Sellers / Content Providers

The platform may simultaneously:

attract users;

collect behavioural information;

determine what users see;

operate advertising infrastructure;

auction advertising opportunities;

measure advertising performance; and

compete with businesses that depend upon the platform.

This creates important competition-law questions concerning market power, self-preferencing, data advantages, ad-tech foreclosure, tying, discrimination, exclusivity, interoperability, mergers, and exploitation of attention data.

There is no single established legal category called an "attention brokerage market." The concept is better understood as an analytical framework for applying existing competition law to markets where user attention is scarce and platforms intermediate access to that attention.

2. Economic Meaning of Attention

Attention is scarce because a user can only devote a limited amount of:

time;

cognitive capacity;

screen space;

viewing time;

search activity;

purchasing consideration.

Platforms compete for this scarce resource.

For example:

User attention

↓

Search engine / social network / video platform

↓

Advertising inventory

↓

Advertisers compete for access

The platform therefore acts as an attention broker.

Its competitive significance increases when the platform becomes a necessary gateway between businesses and large numbers of users.

3. Attention Brokerage as a Two-Sided or Multi-Sided Market

Many attention markets are multi-sided markets.

A platform may serve:

Side 1 — Users

Users provide:

attention;

behavioural information;

engagement;

content;

network effects.

Side 2 — Advertisers

Advertisers provide:

advertising revenue;

demand for impressions;

auction participation.

Side 3 — Content providers

Content providers attract users and generate engagement.

Side 4 — Merchants

Merchants use the platform to reach consumers and generate transactions.

Therefore:

The platform may possess market power on one side while appearing to provide a "free" service on another.

This makes traditional price-based market analysis insufficient on its own.

4. Competition Law and Relevant Market Definition

Competition authorities may need to distinguish between several related markets.

A. Consumer attention

Examples:

social-media attention;

search attention;

video attention;

news attention.

B. Advertising services

Examples:

search advertising;

display advertising;

social-media advertising;

video advertising.

C. Ad intermediation

This can include:

demand-side platforms;

supply-side platforms;

ad exchanges;

ad servers.

D. Data services

Platforms may monetise:

behavioural data;

browsing information;

location data;

purchase history;

engagement data.

E. Measurement and attribution

Advertisers may rely upon platforms for:

conversion measurement;

audience measurement;

attribution;

campaign optimisation.

These markets may be interconnected but are not necessarily identical.

5. Market Power in Attention Brokerage

Market power may arise from several sources.

5.1 Network effects

More users attract more advertisers.

More advertisers generate more revenue.

More revenue permits greater investment.

This can produce:

Users → advertisers → revenue → better service → more users

5.2 Data advantages

A platform with enormous quantities of behavioural data may have an advantage in:

targeting;

personalisation;

advertising measurement;

fraud detection;

auction optimisation.

Data itself is not automatically a source of dominance, but large-scale data advantages may strengthen existing market power.

5.3 Switching costs

Advertisers may invest heavily in:

campaign histories;

targeting systems;

analytics;

creative assets;

audience databases;

platform-specific tools.

Moving to another platform may therefore be costly.

5.4 Lack of transparency

Attention markets can be unusually difficult for advertisers to understand because the platform may control:

the auction;

ranking;

pricing;

measurement;

data;

reporting.

This creates potential conflicts of interest.

6. The Self-Preferencing Problem

A particularly important concern occurs where the attention broker competes with businesses that use its brokerage service.

For example:

Platform operates advertising exchange
+
Platform operates its own advertising network
+
Platform sells advertising directly

The platform could potentially give its own advertising service preferential treatment.

Possible forms include:

preferential ranking;

lower fees;

superior data;

preferential access to inventory;

faster auction processing;

preferential measurement;

discriminatory technical access.

This resembles the self-preferencing issues examined in major digital-platform cases.

7. Google Shopping

Google and Alphabet v Commission

Case T-612/17

The case concerned Google's treatment of competing comparison-shopping services.

The EU Courts examined Google's use of its dominant general search service and the manner in which competing services were displayed.

Importance for attention brokerage

The case demonstrates how a platform controlling a major gateway to consumer attention can potentially leverage that position into an adjacent market.

For an attention broker, the relevant concern could be:

Platform controls user attention → platform also competes for that attention → platform gives its own service preferential visibility.

The central issue is therefore not merely ownership of the platform, but whether control over a critical gateway is used to disadvantage competing services.

8. Google Android

Google and Alphabet v Commission

Case T-604/18

The Android litigation concerned Google's contractual arrangements involving mobile devices, applications and search services.

The case is relevant to attention brokerage because default settings and ecosystem restrictions can influence which services receive access to users' attention.

Application

An attention broker might theoretically require device manufacturers or distributors to:

pre-install its own advertising service;

make its own search service default;

restrict competing advertising services;

bundle advertising with another product.

Such conduct could potentially reinforce the platform's position.

9. Google AdSense

Google and Alphabet v Commission

Case T-334/19

The case concerned Google's contractual arrangements in online advertising.

The importance of the case lies in the relationship between platform power and contractual restrictions affecting competitors.

Attention-brokerage relevance

An attention intermediary can potentially use agreements with:

publishers;

advertisers;

distributors;

to prevent competing intermediaries from accessing advertising opportunities.

This creates a potential foreclosure mechanism.

10. Microsoft

Microsoft Corp. v Commission

Case T-201/04

Microsoft involved interoperability and tying issues.

The broader competition-law principle is that a dominant technology company may not necessarily use control over one technological layer to restrict competition in another.

Attention-market application

Imagine:

dominant operating system
↓
dominant browser/search service
↓
advertising platform

If control over the first layer is used to disadvantage competing attention brokers, Microsoft-type reasoning becomes relevant.

The same principle can apply to modern:

mobile ecosystems;

smart TVs;

browsers;

AI assistants;

connected devices.

11. Bronner

Oscar Bronner GmbH & Co KG v Mediaprint

Case C-7/97

Bronner is important for refusal-to-deal analysis.

The CJEU required stringent conditions before a dominant undertaking could be required to provide access to infrastructure.

Attention-market application

Suppose a dominant platform controls the only commercially viable route to a particular category of consumers.

A competing advertising intermediary requests access.

The fact that access would be commercially useful is not necessarily enough.

The competitor would generally need to establish the exceptional conditions associated with an indispensable facility.

12. IMS Health

IMS Health GmbH & Co OHG v NDC Health

Case C-418/01

IMS Health concerned refusal to license a proprietary information structure.

Attention-market relevance

An attention platform may control:

unique audience datasets;

advertising measurement systems;

audience identifiers;

proprietary targeting infrastructure.

The IMS Health framework is useful in distinguishing:

legitimate ownership of proprietary information

from

exceptional circumstances in which refusal to provide access may raise Article 102 concerns.

13. Facebook / Meta Data and Competition Issues

Competition authorities have increasingly examined digital platforms where personal data, advertising and market power intersect.

The important competition-law question is not simply:

"Does the platform possess a lot of data?"

Instead:

Does control over data reinforce market power or enable exclusionary conduct?

Potential theories include:

tying;

discriminatory access;

self-preferencing;

refusal to supply;

exploitative conduct;

leveraging.

The German Facebook competition proceedings are particularly relevant because they examined the relationship between market power and data-collection practices.

14. Bundeskartellamt Facebook Case

The German Federal Cartel Office's proceedings against Facebook examined Facebook's collection and combination of user data from different sources.

The case was significant because it considered the relationship between:

market power;

data collection;

user conditions;

competitive harm.

The German courts and ultimately the Federal Court of Justice dealt with important aspects of the case.

Competition significance

Attention brokerage can be strengthened by combining data from:

the platform itself;

affiliated services;

third-party websites;

applications.

A dominant platform with greater data access may improve its advertising capabilities while making it harder for rivals to replicate its targeting and measurement capabilities.

15. Intel

Intel Corp. v Commission

Case C-413/14 P

Intel concerned rebates and exclusionary effects.

Attention-brokerage relevance

An attention broker could theoretically offer:

advertising rebates;

volume discounts;

preferential rates;

loyalty incentives.

If these arrangements induce advertisers or publishers to deal predominantly or exclusively with the dominant platform, they may raise foreclosure concerns.

Intel demonstrates the importance of analysing the actual circumstances and capability of exclusion rather than treating every discount as unlawful.

16. Qualcomm

Qualcomm v Commission

Case T-235/18

Qualcomm concerned exclusivity payments in the semiconductor sector.

Attention-brokerage relevance

The principle can be applied by analogy to:

exclusive advertising contracts;

exclusive publisher agreements;

exclusive data arrangements;

platform incentives.

The central concern is whether financial incentives prevent rivals from obtaining sufficient access to customers or distribution.

17. United States v Google — Search and Advertising

US antitrust litigation involving Google has provided an important contemporary context for examining the relationship between:

search;

advertising;

distribution;

platform power.

The litigation illustrates how control over a major digital gateway can potentially affect competition in adjacent markets.

For attention brokerage, this raises a fundamental structural concern:

The same company may control both access to users and the commercial infrastructure through which businesses compete for those users' attention.

18. Ad-Tech Market Structure

Digital advertising can contain several layers:

Advertiser

↓

Demand-Side Platform

↓

Ad Exchange

↓

Supply-Side Platform

↓

Publisher

↓

User

A vertically integrated company may operate several of these layers simultaneously.

This creates potential conflicts of interest.

For example, a vertically integrated ad-tech company could theoretically:

favour its own exchange;

prefer its own buying service;

impose discriminatory fees;

restrict competitors' access to data;

manipulate auction conditions.

19. Auction Manipulation

Attention brokerage frequently involves auctions.

Advertisers may bid for:

search positions;

display impressions;

video advertisements;

sponsored content;

recommendation placements.

Competition concerns could arise where the auction operator:

controls the rules;

participates in the auction;

possesses superior information;

determines the ranking;

controls transaction data.

This creates an inherent vertical conflict of interest.

20. Algorithmic Competition Concerns

AI and machine-learning algorithms can determine:

which advertisement is displayed;

which user receives it;

the price;

ranking;

frequency;

timing.

Algorithms can therefore become the mechanism through which attention is allocated.

Potential risks include:

Algorithmic discrimination

Competitors receive systematically different treatment.

Algorithmic self-preferencing

The platform's own commercial products receive favourable treatment.

Algorithmic coordination

Competitors' pricing algorithms may facilitate parallel conduct.

Algorithmic exclusion

A platform's algorithm can reduce visibility for competing businesses.

The fact that conduct is automated does not place it outside competition law.

21. Data as a Competitive Input

Attention markets are heavily dependent on data.

Important datasets may include:

demographics;

browsing behaviour;

purchase history;

location;

search queries;

interests;

engagement patterns.

A dominant platform may possess a substantial data advantage.

However:

Data abundance ≠ automatic dominance.

Authorities must examine whether the data is:

unique;

commercially valuable;

difficult to replicate;

scalable;

connected to network effects;

capable of creating entry barriers.

22. Attention Brokerage and Privacy

Privacy and competition law can overlap.

Poor privacy conditions may sometimes be relevant to competition analysis where they are connected to:

market power;

exploitation;

data accumulation;

barriers to entry.

The German Facebook proceedings demonstrate the possibility of competition authorities examining these connections.

However, competition law should not simply become a substitute for general privacy regulation.

23. Tying in Attention Markets

A platform could potentially tie:

advertising service + analytics

or

search + advertising

or

social network + advertising exchange

or

AI assistant + advertising platform

If the tying arrangement is imposed by a dominant undertaking and forecloses competition in the tied market, Article 102-type concerns may arise.

The Microsoft and Google Android cases provide useful doctrinal foundations.

24. Exclusivity and Publisher Dependence

Publishers may depend heavily upon a dominant attention broker for:

advertising revenue;

traffic;

audience analytics;

monetisation.

An attention broker could potentially require publishers to:

use only its advertising tools;

avoid rival exchanges;

provide exclusive inventory;

use its measurement tools.

This could make rival advertising intermediaries unable to achieve sufficient scale.

25. Multi-Homing

Multi-homing is particularly important.

An advertiser might simultaneously use:

Google;

Meta;

Amazon;

TikTok;

independent ad exchanges.

This creates competitive pressure.

However, switching may become more difficult when:

campaigns are highly customised;

data cannot be transferred;

measurement tools are incompatible;

contracts are exclusive;

technical integration is expensive.

Competition law may therefore examine whether a dominant platform artificially increases the costs of multi-homing.

26. Attention Markets and Consumer Choice

Consumers may not directly pay money for access to platforms.

Instead, they provide:

attention;

engagement;

behavioural information.

This creates an economic exchange:

Free or low-price service ↔ attention/data

Competition authorities may therefore need to consider non-price dimensions of competition, including:

privacy;

quality;

advertising intensity;

choice;

innovation;

user experience.

27. Merger Control in Attention Markets

Mergers can significantly increase concentration.

Potential concerns arise when a large attention platform acquires:

an emerging social network;

a competing search service;

an ad-tech company;

a measurement company;

a data broker;

an AI recommendation service.

The competitive issue is not simply current market share.

Authorities may also consider:

potential competition;

innovation;

data advantages;

network effects;

interoperability;

vertical foreclosure.

28. Killer Acquisitions

Attention markets are particularly susceptible to potential killer acquisitions.

A large platform could acquire a startup that has:

a new recommendation technology;

a privacy-oriented advertising model;

a new attention-measurement system;

an alternative advertising exchange.

Even if the target currently generates little revenue, it might represent an emerging competitive constraint.

29. Attention Brokerage and AI

AI may significantly transform attention markets.

AI assistants can become gateways between consumers and businesses.

For example:

Consumer

↓

AI assistant

↓

Recommendation

↓

Product/service

↓

Merchant

The AI platform may eventually control the user's decision-making interface rather than merely displaying advertisements.

This could create new forms of self-preferencing.

For example:

AI assistant recommends its owner's product more frequently than equivalent competing products.

Potential competition concerns include:

self-preferencing;

tying;

discrimination;

preferential access;

data advantages;

exclusion of competing merchants.

30. Attention Allocation as a Competitive Bottleneck

Traditional competition law often focuses on:

infrastructure;

raw materials;

distribution networks.

In digital markets, attention itself can become the scarce bottleneck.

A platform controlling access to millions or billions of users may effectively control access to a critical commercial resource.

This creates a conceptual shift:

From control of physical infrastructure to control of digital attention infrastructure.

31. Potential Article 101 Violations

Attention brokers and advertisers may also engage in horizontal coordination.

Examples include agreements between advertisers to:

limit advertising;

divide audiences;

coordinate bids;

fix advertising prices.

Platforms themselves may also facilitate coordination among competitors.

Possible conduct includes:

exchanging future pricing information;

coordinated bidding;

allocation of advertising inventory;

algorithmic coordination.

32. Potential Article 102 Violations

A dominant attention broker could potentially face Article 102 scrutiny for:

1. Self-preferencing

Favouring its own advertising service.

2. Tying

Conditioning one service on another.

3. Exclusivity

Preventing customers from using rival brokers.

4. Discriminatory access

Offering rivals inferior technical access.

5. Refusal to deal

Withholding indispensable infrastructure.

6. Predatory conduct

Using below-cost pricing to eliminate competitors.

7. Data foreclosure

Preventing competitors from accessing essential competitive inputs.

33. Essential-Facility Analysis

The Bronner–Magill–IMS Health line of jurisprudence suggests that compulsory access should remain exceptional.

An attention broker might control:

unique advertising inventory;

a critical audience;

indispensable measurement infrastructure.

But a competitor cannot simply argue:

"This platform is large, therefore I must receive access."

It would need to establish the relevant legal conditions, including the indispensability of the facility where applicable.

34. Competition Remedies

Where competition authorities identify serious problems, possible remedies could include:

Behavioural remedies

non-discrimination obligations;

transparency requirements;

access requirements;

restrictions on exclusivity;

data-use limitations.

Structural remedies

In exceptional circumstances:

separation of business units;

divestiture;

restrictions on acquisitions.

Interoperability remedies

Platforms could potentially be required to permit:

data portability;

API interoperability;

advertising-platform integration.

The appropriate remedy depends on the specific infringement and legal framework.

35. Compliance Framework for Attention Brokers

An attention platform should establish:

A. Non-discrimination policies

Competitors should not receive unjustified discriminatory treatment.

B. Auction governance

Clearly define:

auction rules;

ranking;

fees;

conflicts of interest.

C. Data governance

Separate competitively sensitive information where appropriate.

D. Contract review

Review:

exclusivity;

MFN/parity clauses;

loyalty rebates;

bundling.

E. Algorithmic auditing

Examine whether algorithms systematically favour affiliated businesses.

F. Merger review

Assess acquisitions involving:

data;

advertising technology;

emerging competitors;

AI recommendation systems.

36. Case-Law Summary

37. Key Legal Principles

The competition-law analysis of attention brokerage markets can be reduced to ten central propositions:

Attention can be economically valuable even when consumers pay no monetary price.

A platform's large user base does not automatically establish dominance.

Data advantages matter particularly where they create durable barriers to entry.

Self-preferencing becomes relevant where a platform controls a critical gateway and competes downstream.

Exclusive contracts can foreclose rival attention brokers.

Auction design can create conflicts where the intermediary also participates in the market.

Interoperability can determine whether customers can effectively multi-home.

Refusal-to-deal claims remain subject to stringent conditions.

Mergers involving emerging attention platforms can affect future competition even where current revenues are small.

AI assistants may become a new form of attention gateway, making existing platform principles increasingly important.

38. Conclusion

Attention brokerage markets represent an important evolution of digital competition. The central economic resource is no longer simply a product, service, or physical distribution network; it can be the ability to determine which businesses obtain access to users' scarce attention.

Competition law is relevant where an undertaking acquires substantial control over this gateway and uses that position to:

favour its own services;

exclude rival advertising intermediaries;

impose exclusivity;

restrict interoperability;

exploit data advantages;

manipulate access conditions;

tie services together;

foreclose publishers or advertisers;

acquire emerging competitors.

The jurisprudence of Google Shopping, Google Android, Google AdSense, Microsoft, Bronner, Magill, IMS Health, Intel and Qualcomm, together with the German Facebook proceedings, provides a substantial doctrinal foundation for analysing these issues.

The most important conceptual distinction is between successful competition for attention and anticompetitive control of the mechanisms through which attention is allocated. A platform may legitimately become large because consumers prefer it and advertisers value its services. Competition concerns arise when market power over attention is used in ways capable of materially restricting the ability of rivals to compete.