Personalisation and pricing | Digital Fairness Act Monitor

Statements and evidence

Source comparisons and retained baselines are identified separately; no personal legal review is implied. Data coverage and date meanings.

Personalisation and pricing: Implementation interpretation

Personalisation can order content, tailor offers or vary prices using user or context signals. These practices are not one legal category. Current EU rules can require transparency, lawful data processing and fair commercial presentation in specific circumstances. Teams should document inputs, purpose, price logic and user impact while avoiding claims that the announced DFA has already prohibited personalised journeys.

Status: Under consideration

Earlier source baseline: 2026-08-09. Source comparison: 2026-09-14. 14 September comparison added current institutional context. Several underlying EUR-Lex provision texts could not be retrieved, so the detailed legal mapping retains its earlier baseline. No new full-text or personal legal review is claimed.

Revision: eu-personalisation@d36c5fb54acb7a1596f7afbe2c71fbe2a5fcee8bd4834397d482ef65582caa5a

Consumer Rights Directive: supports. CRD Article 6(1)(ea); GDPR Articles 5 and 6; DFA call for evidence
General Data Protection Regulation: qualifies. Context and qualifications in the linked source; see the article source list.
Digital Fairness Act: call for evidence for an impact assessment: qualifies. Context and qualifications in the linked source; see the article source list.

Cite or inspect this claim

Which decisions should be mapped?

Inventory where identity, behaviour, device, location or inferred traits influence ranking, eligibility, promotion or price. Record the business purpose and the explanation shown at the moment of decision. Consumer Rights Directive General Data Protection Regulation

What teams should review

Legal, pricing, data science and UX should jointly test whether the signal is necessary, the outcome is explainable, disclosures are timely and protected or vulnerable groups face disproportionate effects. Consumer Rights Directive General Data Protection Regulation

What does this look like in a customer journey?

Illustrative example 1 · Personalised travel price

A fictional travel site raises the displayed package price after inferring urgency from repeated searches, labels it only “Your offer” and gives no timely explanation that automated personalisation influenced the price.

Why it may matter: The traveller may misunderstand why the price differs or feel pressured to book; the legal analysis depends on the data use, disclosure, commercial presentation and rules within scope.

Illustrative example 2 · Vulnerability-led offer ordering

A fictional credit-comparison journey infers financial stress from behaviour and repeatedly places a costly expedited product first while moving lower-cost options behind a collapsed “More choices” control.

Why it may matter: Using an inferred vulnerability to shape prominence may reduce meaningful comparison and increase financial detriment; not every ranking or personalisation decision has that effect.

Interface comparison

Potentially problematicYour recommended price · €64

Neutral alternativePersonalised price · €64

Abstract comparison between an unexplained personalised offer and a labelled offer with its basis and a standard-price comparison.Provenance: Original abstract UI comparison created by the portal editorial team; no real brand, product or interface is depicted.

What is a fairer or lower-risk alternative?

Separate content ranking, offer eligibility and personalised pricing in the decision record. Explain material personalisation at the point where it affects choice, document the lawful data basis and inputs, and preserve a usable way to compare alternatives without implying that transparency alone resolves every legal issue.

What is regulated, proposed or still open?

Status and source mapping for Personalisation and pricing
Evidence layer	Status	What the source supports
Current law	Current law	Current consumer and data-protection rules can require disclosures or lawful, fair and transparent personal-data processing in specific circumstances. GDPR applies only where personal data and the relevant rule are involved; personalisation is not synonymous with consent or automated-decision prohibition. Consumer Rights Directive General Data Protection Regulation Unfair Commercial Practices Directive
Officially announced	Officially announced	The Commission officially identifies unfair personalisation, including exploitation of vulnerabilities, and price marketing among DFA preparation areas. It has not announced a blanket ban on personalised content or prices. Review of EU consumer law 2030 Consumer Agenda and action plan for consumers in the Single Market
Under consideration	Under consideration	The impact-assessment call for evidence considers possible responses but does not settle which personalisation practices, actors or decision types a future proposal will address. Digital Fairness Act: call for evidence for an impact assessment
Stakeholder proposal	Stakeholder proposal	The children’s survey reported a preference among 58% of respondents for protection concerning personalised advertising and pricing. That response is stakeholder evidence, not an adopted Commission rule. Commission survey shows children want better rules to ensure digital fairness for all
Editorial analysis	Editorial analysis	The Fitness Check analyses gaps, evidence and possible policy responses in digital consumer law. Its evaluation can guide risk assessment, but its discussion is not a legal conclusion about a particular model or offer. Fitness Check of EU consumer law on digital fairness
Unknown	Unknown	The future DFA’s treatment of ranking, targeted offers, personalised advertising and personalised prices, including scope, vulnerability tests, disclosures, prohibitions and remedies, remains unknown until proposal text is published. Commission work programme 2026: Europe's Independence Moment Digital Fairness Act: call for evidence for an impact assessment

What should teams review?

Review and document the decisions described in “Which decisions should be mapped?”.
Review and document the decisions described in “What teams should review”.

Evidence to retain

Core distinction: retain the source, decision record and reviewed journey state for content ordering is not the same as personalised pricing.
Evidence: retain the source, decision record and reviewed journey state for inputs, model/version, decision and user-facing disclosure.
Unknown: retain the source, decision record and reviewed journey state for any final dfa-specific restriction or remedy.

Evidence base

Sources

Consumer Rights DirectiveEuropean Parliament and Council of the European Union · Primary · checked 2026-08-09 · Directive 2011/83/EU; CELEX 02011L0083-20220528
General Data Protection RegulationEuropean Parliament and Council of the European Union · Primary · checked 2026-08-09 · Regulation (EU) 2016/679; CELEX 32016R0679
Digital Fairness Act: call for evidence for an impact assessmentEuropean Commission · Primary · checked 2026-08-09 · Initiative 14622; Ares(2025)6275573
Unfair Commercial Practices DirectiveEuropean Parliament and Council of the European Union · Primary · checked 2026-08-09 · Directive 2005/29/EC; CELEX 02005L0029-20220528
Review of EU consumer lawEuropean Commission, Directorate-General for Justice and Consumers · Primary · checked 2026-09-14
2030 Consumer Agenda and action plan for consumers in the Single MarketEuropean Commission · Primary · checked 2026-08-09 · COM(2025) 848 final; CELEX 52025DC0848
Commission survey shows children want better rules to ensure digital fairness for allEuropean Commission, Directorate-General for Justice and Consumers · Primary · checked 2026-08-09
Fitness Check of EU consumer law on digital fairnessEuropean Commission · Primary · checked 2026-09-14 · SWD(2024) 230 final
Commission work programme 2026: Europe's Independence MomentEuropean Commission · Primary · checked 2026-09-14 · COM(2025) 870 final; CELEX 52025DC0870; Annex I item 30