Consumer Protection Litigation

At Fideres, we provide rigorous economic and statistical analysis for consumer protection class actions across the United States, United Kingdom, and Europe. Our economists help plaintiff law firms evaluate theories of harm, build the economic foundation for class certification, and quantify damages from consumer fraud, false advertising, deceptive trade practices, subscription billing fraud, and data misuse.

Our team has extensive experience developing the economic evidence that drives consumer fraud class actions, from theory of harm through class-wide damages. We design conjoint surveys and price premium models, work alongside leading academic testifying experts, and support plaintiff counsel from case evaluation through trial across US federal and state courts and European collective proceedings.

Our Focus

• Theory of harm – We identify and articulate the economic mechanism by which consumers were harmed, assessing how misleading claims, deceptive practices, or fraudulent conduct affected purchasing behaviour and consumer welfare.
• Class certification – We develop economic methodologies that satisfy commonality and predominance requirements, demonstrating that harm and damages from consumer fraud or deceptive practices can be assessed on a class-wide basis using common proof.
• Conjoint surveys and price premium damages – We design and analyse conjoint and other consumer surveys measuring willingness-to-pay and price premia attributable to false, misleading, or fraudulent product claims, and build the corresponding damages models — overcharge, price premium loss, consumer surplus loss, and benefit-of-the-bargain — drawing on transaction data, market data, and econometric modelling. Our surveys are engineered to withstand Daubert challenges and the methodological objections routinely raised by defence experts.
• Subscription and billing fraud – We analyse dark patterns, hidden fees, and deceptive enrolment or cancellation practices, quantifying consumer harm from unwanted subscriptions and recurring billing fraud.
• Algorithmic and data misuse – We assess consumer harm arising from algorithmic pricing manipulation, data breach, and misuse of personal data, including valuation of data and identity-theft cost modelling.
• Rebuttal and expert testimony support – We review and critique defence expert reports, identifying methodological flaws, unsupported assumptions, and inconsistencies with the economic record, and work alongside academic and industry testifying experts to provide the underlying analysis and modelling that supports clear, persuasive expert reports at class certification and trial.