The Anti-Competitive Effects of Algorithmic Personalized Pricing and the Big Data Economy

28 Pages Posted: 21 Aug 2025

See all articles by Pascale Chapdelaine

Pascale Chapdelaine

University of Windsor, Faculty of Law

Pierre Larouche

Université de Montréal; Center on Regulation in Europe (CERRE)

Jennifer Quaid

University of Ottawa - Civil Law Section

Date Written: August 08, 2025

Abstract

This submission, made to the Canadian Competition Bureau's public consultation on algorithmic pricing, focuses on algorithmic personalized pricing (APP): the use of algorithms to set individualized prices based on consumers’ maximum willingness to pay. The authors argue APP represents a transformative shift in market dynamics. They analyze APP’s potential to facilitate first-degree price discrimination, and contend that the pursuit of this goal by firms, even if not fully achieved, raises significant concerns for consumer welfare, market transparency, and the normative foundations of competition law. The authors examine how well potential strategies used by firms to implement APP (collusion/coordinated competitor conduct, abuse of dominance, and deceptive marketing practices) are likely to fit within the ambit of Canada's Competition Act, particularly as recent amendments made important changes to the applicable legal frameworks. Noting that the precise ambit of the amended Act is not yet fixed, the authors argue that responding effectively to APP will require both creative interpretations of the new rules, and refined enforcement strategies and tools as competition law is adapted to a world where the incidence of algorithmic coordination and data-driven market distortions continues to increase, and with it, the erosion of consumer surplus. The submission concludes by advocating for public education, tailored enforcement guidance, and the development of consumer-side AI tools to counterbalance APP’s adverse effects on consumers and the proper functioning of competitive markets.

Keywords: Algorithmic Personalized Pricing (APP)First-Degree Price Discrimination Competition Law Consumer Welfare Market Power Abuse of Dominance Collusion Deceptive Marketing Practices Artificial Intelligence Governance Data-Driven Pricing Micro-Market Chambers Consumer Surplus Canadian Competition Act Digital Marketplace Regulation, First-Degree Price Discrimination, Data-Driven Pricing, Canadian Competition Act, Algorithmic collusion, Abuse of a dominant position, Deceptive marketing practices, Micro-Market Chambers

JEL Classification: K21, L40, L41, D61

Suggested Citation

Chapdelaine, Pascale and Larouche, Pierre and Quaid, Jennifer, The Anti-Competitive Effects of Algorithmic Personalized Pricing and the Big Data Economy (August 08, 2025). Available at SSRN: https://ssrn.com/abstract=5399219 or http://dx.doi.org/10.2139/ssrn.5399219

Pascale Chapdelaine

University of Windsor, Faculty of Law ( email )

401 Sunset Avenue
Windsor, Ontario N9B 3P4 N9B 3P4
Canada

Pierre Larouche

Université de Montréal ( email )

Montreal, Quebec H3T 1B9
Canada

Center on Regulation in Europe (CERRE) ( email )

Rue de l'Industrie 42
Brussels, 1040
Belgium

Jennifer Quaid (Contact Author)

University of Ottawa - Civil Law Section ( email )

57 Louis Pasteur Dr
Ottawa
Canada
613-562-5800 x 3240 (Phone)

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