Identity Commodification in Digital Economies

Introduction

Identity commodification in digital economies refers to the transformation of information, attributes, behaviours, relationships, preferences, biometric characteristics, and online identifiers associated with an individual or entity into economic assets that can be collected, analysed, traded, monetised, or used to influence market behaviour.

In traditional markets, identity was principally a means of establishing who a customer was. In digital markets, identity increasingly becomes an economic input. A person's search history, location, device identifiers, purchasing behaviour, social graph, biometric information, inferred interests, credit characteristics, and engagement patterns can be converted into data products, advertising profiles, recommendation signals, risk scores, or targeting mechanisms.

Competition law becomes relevant where control over identity-related data produces or reinforces market power, entry barriers, exclusion, self-preferencing, discriminatory pricing, or ecosystem dependency.

A useful conceptual chain is:

Individual identity → data collection → profiling → prediction → monetisation → market power → exclusion/dependency

1. Meaning of Identity Commodification

Identity commodification has several dimensions.

A. Identification

Digital systems transform individuals into persistent identifiers:

• account IDs;
• cookies;
• advertising IDs;
• device fingerprints;
• biometric identifiers;
• location histories;
• customer IDs;
• social-media profiles.

The identifier allows a platform to recognise the same individual across transactions or environments.

B. Profiling

Collected identity information is processed to generate profiles concerning:

• interests;
• purchasing power;
• political or social preferences;
• creditworthiness;
• consumption patterns;
• likely future behaviour;
• willingness to pay.

The resulting profile may be economically more valuable than the underlying information.

C. Prediction

AI systems can infer characteristics that the individual never expressly disclosed.

For example:

behavioural data → algorithmic inference → predicted willingness to pay → personalised offer.

Thus, commodification can occur even where the individual never directly "sells" their identity.

D. Monetisation

Identity-related information can generate revenue through:

• targeted advertising;
• personalised recommendations;
• behavioural advertising;
• data brokerage;
• credit scoring;
• insurance pricing;
• personalised commerce;
• subscription segmentation;
• fraud detection;
• identity verification.

E. Strategic exploitation

A dominant platform may use identity data not merely to earn advertising revenue but to strengthen its ecosystem.

For example:

Identity data → better algorithm → more users → more data → better algorithm

This creates a potentially self-reinforcing data-network effect.

2. Identity as an Economic Asset

Identity commodification challenges the traditional distinction between personal information and property.

Personal information can have:

1. exchange value — it can be sold or licensed;
2. advertising value — it enables targeted advertising;
3. prediction value — it improves algorithmic forecasting;
4. network value — aggregated data improves digital services;
5. strategic value — data may prevent competitors from replicating the incumbent's service;
6. exclusionary value — control over identity data can restrict rivals' access to customers.

Consequently, identity becomes part of the competitive infrastructure of digital markets.

3. Identity Commodification and Competition Law

The principal competition-law question is not simply:

"Does a company possess personal data?"

The more important question is:

Does control over identity-related data confer or reinforce market power in a way that harms competition?

Several theories may arise.

3.1 Data as a barrier to entry

A dominant platform may possess enormous historical datasets that new entrants cannot reproduce easily.

3.2 Data-driven network effects

More users produce more behavioural data, which can improve the service and attract additional users.

3.3 Data foreclosure

A dominant undertaking may deny competitors access to commercially important identity-related data.

3.4 Self-preferencing

A platform may use customer identity and behavioural information to favour its own downstream products.

3.5 Personalised exclusion

Algorithms may use individual-level information to determine which users receive particular products, prices, rankings, or offers.

3.6 Privacy as a parameter of competition

If consumers value privacy, deterioration in privacy can potentially constitute a non-price dimension of competitive harm.

4. Identity Commodification and the "Free Service" Model

Many digital platforms do not charge users monetary prices.

Instead, the economic transaction may resemble:

User attention + behavioural information + identity data → digital service

The platform subsequently monetises the resulting data through advertising or other commercial activities.

This complicates traditional competition analysis because:

• price may be zero;
• quality becomes multidimensional;
• privacy becomes a competitive parameter;
• data becomes an economic input;
• consumer harm may occur without an obvious price increase.

5. Identity Commodification and Market Definition

Traditional market definition relies heavily upon price substitution.

Digital identity markets require consideration of additional variables.

Relevant dimensions can include:

• data collection;
• identity verification;
• advertising;
• social networking;
• search;
• online marketplaces;
• digital payments;
• authentication;
• cloud identity services;
• data brokerage.

A single digital ecosystem may operate simultaneously across several of these markets.

Thus, identity commodification can create cross-market leverage.

6. Identity Data as an Essential Competitive Input

A competition concern may arise when identity-related data is indispensable for competing effectively.

For example, suppose a dominant platform controls:

• millions of verified consumer identities;
• historical purchasing records;
• behavioural profiles;
• authentication information;
• transaction histories.

A rival may technically enter the market but lack the information necessary to achieve comparable targeting or matching efficiency.

This produces an informational entry barrier.

However, mere possession of valuable data does not automatically establish an antitrust violation. Authorities must generally establish market power and a legally relevant exclusionary or exploitative theory.

7. Identity Commodification and Personalised Pricing

Identity data can permit businesses to estimate an individual's willingness to pay.

For example:

Consumer A → high willingness to pay → higher offer

Consumer B → price sensitive → discount

This creates competition concerns where personalised pricing:

• reduces price transparency;
• facilitates discrimination;
• exploits information asymmetries;
• weakens consumer comparison;
• facilitates coordinated pricing;
• entrenches incumbent advantages.

The competition issue becomes particularly significant when consumers cannot observe the basis upon which prices are differentiated.

8. Identity Commodification and Algorithmic Discrimination

Digital identity systems may categorise consumers according to inferred characteristics.

Algorithms can potentially distinguish users based on:

• geography;
• income proxies;
• purchasing history;
• device type;
• browsing behaviour;
• inferred interests;
• social connections.

Even where an algorithm does not explicitly use a protected characteristic, proxy variables can produce comparable effects.

This creates an intersection between:

competition law + consumer protection + privacy law + equality law + AI governance.

9. Identity Commodification and Ecosystem Lock-In

Identity can also become a source of switching costs.

Consider a user who has accumulated:

• years of transaction history;
• reputation scores;
• contacts;
• authentication credentials;
• loyalty benefits;
• personalised recommendations;
• digital credentials.

Moving to a competing platform may mean losing some of these accumulated advantages.

Identity therefore becomes portable economic capital.

If portability is restricted, the platform may strengthen customer lock-in.

10. Major Case Laws

1. Google LLC v. Commission — Google Shopping

The Google Shopping litigation demonstrates how a dominant digital ecosystem can use control over an important digital infrastructure to advantage its own downstream service.

The European Commission found that Google had abused its dominant position in general search by systematically favouring its comparison-shopping service in search results.

Relevance to identity commodification

The case is important because digital competition increasingly depends upon the information generated by users and their interactions with a platform.

The broader lesson is:

Control over a major digital gateway can allow an undertaking to exploit information and user access to favour an affiliated service.

The case therefore provides a foundation for analysing data-enabled self-preferencing and ecosystem leverage.

11. Google Android

Case

Google Android concerned Google's practices relating to Android mobile devices, including contractual restrictions involving search and browser applications.

The European Commission found several practices abusive under Article 102 TFEU.

Identity-commodification relevance

Mobile ecosystems are particularly important because smartphones function as persistent identity environments.

They generate:

• location information;
• application usage information;
• search behaviour;
• device identifiers;
• authentication information;
• purchasing information.

Control over the operating-system ecosystem can therefore provide a company with privileged access to identity-generating interactions.

The case demonstrates how dominance at one technological layer can be leveraged into adjacent markets.

12. Facebook / Meta — Data and Abuse of Dominance

The competition-law controversy surrounding Facebook is particularly important to identity commodification.

Facebook's business model historically depended heavily upon monetising user attention and behavioural information through advertising.

The German competition authority examined whether Facebook's collection and combination of user data from different sources constituted an abuse of dominance.

Importance

The case demonstrated that:

privacy and data-collection conditions can become relevant to competition law where a dominant undertaking imposes exploitative conditions on users.

The case is therefore central to the concept of non-price competition.

The German Federal Cartel Office's intervention ultimately became one of the leading examples of competition law being applied to the relationship between:

market power + data collection + privacy conditions.

13. Bundeskartellamt v. Facebook — German Facebook Decision

This case deserves separate treatment because of its doctrinal importance.

The German competition authority concluded that Facebook's extensive collection and combination of data could constitute exploitative abuse when imposed upon users in circumstances involving Facebook's dominant position.

The case connected:

• dominance;
• excessive data collection;
• privacy;
• consumer autonomy;
• exploitative abuse.

The German courts subsequently examined the legal basis and competition-law implications of the authority's intervention.

Significance for identity commodification

The case establishes an important conceptual proposition:

A zero monetary price does not necessarily mean that consumers receive a competitively satisfactory deal.

Users may "pay" through their personal and behavioural information.

14. FTC v. Facebook

The United States litigation involving the Federal Trade Commission and Facebook/Meta illustrates another dimension of digital identity power.

The FTC's theory focused on Facebook's acquisition and maintenance of market power in personal social networking.

Relevance

The case demonstrates that identity ecosystems may generate:

• network effects;
• switching costs;
• data advantages;
• barriers to entry;
• ecosystem dependence.

The economic value of a social platform is partly derived from its accumulated network of user identities and relationships.

Therefore, acquiring another platform can potentially acquire not merely technology but also:

users + relationships + behavioural information + data assets + network effects.

15. FTC v. Google

The United States' Google litigation provides another important framework.

Search engines operate through massive information infrastructures involving:

• user queries;
• click behaviour;
• browsing patterns;
• advertising interactions;
• location signals;
• device information.

Competition relevance

Data can enhance:

• search quality;
• advertising targeting;
• prediction;
• ranking;
• market intelligence.

Consequently, control over identity-related behavioural data can reinforce a platform's position across adjacent digital markets.

The case therefore supports the broader proposition that data advantages can become part of a durable digital competitive advantage, although data alone should not automatically be treated as proof of monopoly power.

16. Microsoft / LinkedIn

The European Commission's examination of Microsoft's acquisition of LinkedIn is also relevant.

LinkedIn possessed a large professional identity database containing information concerning:

• professional qualifications;
• employment;
• education;
• professional networks;
• recruitment relationships.

Identity commodification significance

Professional identity itself has substantial economic value.

A professional profile can facilitate:

• recruitment;
• advertising;
• employment matching;
• business networking;
• market intelligence.

The transaction therefore illustrated how a digital platform's identity database can be a strategically valuable competitive asset.

17. Google DoubleClick / Digital Advertising Data

The development of Google's advertising ecosystem provides another important example.

Digital advertising increasingly relies upon identity-related signals that enable advertisers to distinguish users and target audiences.

The competitive significance lies in control over:

• audience information;
• advertising inventory;
• measurement data;
• targeting capabilities;
• attribution information.

A vertically integrated firm may therefore possess advantages at multiple stages:

user identity → audience segmentation → advertising placement → measurement → optimisation.

This creates potential concerns concerning vertical foreclosure and conflicts of interest.

18. Key Legal Principles Emerging from the Cases

The cases collectively support several principles.

Principle 1 — Data can constitute a competitive asset

Data may create significant competitive advantages when it is:

• difficult to replicate;
• accumulated at scale;
• updated continuously;
• combined with sophisticated algorithms.

Principle 2 — Zero-price services can still produce competitive harm

The absence of a monetary price does not eliminate competition concerns.

Quality and privacy can be competitive parameters.

Principle 3 — Identity can generate switching costs

The accumulated value of an individual's digital identity can discourage movement between platforms.

Principle 4 — Data and network effects reinforce each other

More users can generate more data, while better data can attract more users.

This creates:

Data → quality → users → more data

Principle 5 — Privacy can have competition relevance

Where privacy conditions deteriorate because of market power, competition authorities may need to examine privacy as a dimension of competitive quality.

19. Identity Commodification and Market Power

A useful analytical model is:

Stage 1 — Collection

Platform collects identity-related information.

↓

Stage 2 — Aggregation

Information from multiple interactions is combined.

↓

Stage 3 — Profiling

Users are categorised.

↓

Stage 4 — Prediction

Algorithms predict behaviour.

↓

Stage 5 — Monetisation

Profiles are converted into advertising, pricing, matching or other commercial value.

↓

Stage 6 — Reinforcement

Revenue and improved services attract additional users.

↓

Stage 7 — Entrenchment

Scale, network effects and switching costs make entry more difficult.

This is the identity commodification–market power cycle.

20. Identity Commodification and Consumer Welfare

Consumer harm may occur through several channels.

A. Privacy degradation

Consumers receive progressively less privacy.

B. Reduced transparency

Consumers do not know:

• what information is collected;
• how profiles are constructed;
• how decisions are made;
• who receives the information.

C. Discriminatory treatment

Different users may receive different:

• prices;
• rankings;
• advertisements;
• offers;
• access conditions.

D. Reduced autonomy

Algorithms can exploit behavioural vulnerabilities to influence purchasing decisions.

E. Lock-in

Users may remain with a platform because their accumulated identity cannot easily be transferred.

21. Identity Commodification and Data Portability

Data portability can operate as a competition remedy.

If users can transfer:

• transaction history;
• reputation;
• contacts;
• preferences;
• digital credentials;

to competing services, switching costs may decline.

This can increase:

contestability + multi-homing + entry + innovation.

However, portability raises competing concerns involving:

• privacy;
• cybersecurity;
• third-party information;
• authentication;
• interoperability.

22. Identity Commodification and Merger Control

Identity databases can also become relevant in merger analysis.

A merger may combine:

Platform A's user identities + Platform B's behavioural data

The resulting database may generate a competitive advantage that neither firm possessed independently.

Authorities may therefore consider:

• data concentration;
• interoperability;
• ability of rivals to access comparable data;
• data portability;
• privacy degradation;
• network effects;
• cross-market leverage.

This is particularly significant in acquisitions where the target has relatively modest revenue but possesses strategically valuable user data.

23. Identity Commodification and Self-Preferencing

Suppose a dominant marketplace possesses detailed information concerning:

• customer preferences;
• purchasing frequency;
• product searches;
• seller performance.

The marketplace then uses this information to launch competing private-label products.

This creates a potential conflict:

The platform acts simultaneously as market infrastructure and competitor.

The platform's informational advantage can become an exclusionary advantage.

This connects identity commodification with the broader theory of hybrid platform–competitor conflicts.

24. Identity Commodification and AI

AI substantially increases the economic value of identity information.

Traditional data collection might reveal:

"User purchased product X."

AI can infer:

"User is likely to purchase product Y within the next seven days."

The economic value therefore shifts from historical information to predictive identity.

AI can create:

• inferred identities;
• behavioural scores;
• propensity scores;
• risk profiles;
• purchasing predictions;
• personalised persuasion models.

Thus, identity commodification increasingly involves the commercialisation of inferences, not merely raw personal information.

25. Legal Challenges

Several difficult legal questions arise.

Question 1

Can an inference about a person be treated as personal data?

Question 2

Who economically owns the value generated from behavioural data?

Question 3

Can a dominant platform be required to provide access to identity-related data?

Question 4

When does personalisation become discriminatory exploitation?

Question 5

Can privacy deterioration constitute anticompetitive conduct?

Question 6

Can accumulated identity data constitute an entry barrier?

Question 7

Should identity portability become a competition remedy?

26. Regulatory Approach

A modern competition-law framework should consider five layers.

Layer 1 — Market power

Determine whether the undertaking possesses substantial market power.

Layer 2 — Data control

Identify the nature, scale and exclusivity of its identity-related data.

Layer 3 — Economic significance

Determine whether the data materially improves:

• targeting;
• matching;
• prediction;
• ranking;
• advertising;
• pricing.

Layer 4 — Competitive effect

Assess whether competitors are:

• foreclosed;
• disadvantaged;
• denied access;
• unable to replicate relevant capabilities.

Layer 5 — Consumer effects

Examine:

• privacy;
• transparency;
• autonomy;
• price discrimination;
• quality;
• switching costs.

27. Six Core Case-Law Takeaways

28. Critical Evaluation

Identity commodification should not automatically be equated with anticompetitive conduct.

Large-scale data possession may simply reflect:

• successful innovation;
• consumer choice;
• better service;
• legitimate data processing;
• economies of scale.

Competition law becomes particularly important when identity commodification is combined with market power and exclusionary or exploitative conduct.

The appropriate legal inquiry is therefore:

Not "Is identity being commercialised?" but "Does the commercialisation of identity reinforce market power or materially distort competitive conditions?"

This distinction prevents competition law from becoming a general privacy regime while still allowing competition authorities to address genuine digital-market failures.

Conclusion

Identity commodification is one of the defining economic characteristics of digital markets. Individuals increasingly function not merely as consumers but as sources of commercially valuable information, behavioural signals, social connections, predictions and digital credentials.

The most significant competition-law concern arises when a dominant undertaking converts control over identity into persistent informational advantage:

identity → data → prediction → monetisation → network effects → market power → lock-in.

The Facebook/Bundeskartellamt litigation is especially important because it demonstrates how privacy conditions and data exploitation can intersect with abuse-of-dominance law. Google-related cases demonstrate how digital infrastructure and data advantages can support ecosystem expansion and exclusionary strategies.

Future competition law will therefore increasingly need to examine identity portability, data access, algorithmic profiling, personalised pricing, privacy degradation, data-enabled self-preferencing, AI-generated inferences and identity-based switching costs.