Our extensive network includes top experts from academia and industry.

Our extensive network includes top experts from academia and industry.

Ravi Dhar

George Rogers Clark Professor of Management and Marketing,
Director, Center for Customer Insights,
Yale School of Management;
Professor of Psychology, Yale University

Ravi Dhar is involved in pioneering work in understanding the different factors that influence how consumers think and decide. He has provided expert testimony in numerous trials and depositions, including cases involving surveys related to consumer behavior, allegations of defective products, trademark infringement, and the likelihood of product confusion.

Professor Dhar has also served as a consultant to dozens of Fortune 500 companies in a variety of industries, among them financial services, healthcare, high tech, and luxury goods. He consults on developing best practices for generating and using customer insights.

Professor Dhar has published more than sixty articles and serves on the editorial boards of several leading marketing journals. The American Marketing Association recently ranked Professor Dhar as the most productive scholar publishing in premier marketing journals from 2009 through 2013.

His research and teaching have been honored with various awards, including the Distinguished Scientific Accomplishment Award of the Society for Consumer Psychology, the Distinguished Alumnus Award from the Indian Institute of Management, and the Yale School of Management Alumni Association Teaching Award. His work is frequently mentioned in Businessweek, the New York Times, the Financial Times, the Wall Street JournalThe EconomistUSA Today, and other media

Our extensive network includes top experts from academia and industry.

David J. Reibstein

William Stewart Woodside Professor of Marketing,
The Wharton School,
University of Pennsylvania

David Reibstein is a nationally prominent marketing expert, with particular expertise in competitive marketing strategy, branding, marketing performance measurement, and marketing research methods.

An experienced expert witness, Professor Reibstein has provided testimony in patent infringement and intellectual property matters, as well as consumer class actions. In a number of matters, he has assessed the validity and reliability of conjoint surveys, a topic on which he has published several articles. As part of his expert testimony, Professor Reibstein has designed and conducted consumer perception surveys. In addition, he has testified on a variety of marketing topics, including issues related to branding and brand equity. Professor Reibstein’s academic and consulting work spans a variety of industries, such as consumer products, finance, pharmaceuticals, retail, technology, and telecommunications.

The past chair of the board of directors of the American Marketing Association, Professor Reibstein is also the former executive director of the Marketing Science Institute. He has consulted on marketing strategy to General Electric, Google, Johnson & Johnson, Merck, and Novartis, among others.

Professor Reibstein’s work has been published in leading academic journals, including the Journal of MarketingMarketing Science, and the Journal of Marketing Research. He is the author or coauthor of numerous book chapters and books, including Marketing Metrics: The Manager’s Guide to Measuring Marketing Performance. Professor Reibstein has served on the editorial boards of peer-reviewed publications. His research has received extensive coverage in the mainstream media, notably the New York TimesU.S. News & World ReportForbes, and “Marketplace.”

An award-winning educator for over four decades, Professor Reibstein has been honored more than thirty times for excellence in teaching. He has held academic appointments at Stanford Graduate School of Business, INSEAD, and Harvard Business School.

Our extensive network includes top experts from academia and industry.

Pinar Yildirim

Associate Professor of Marketing,
The Wharton School,
Associate Professor of Economics,
University of Pennsylvania;
Senior Fellow, Center for Technology, Innovation & Competition,
University of Pennsylvania Carey Law School

Pinar Yildirim is a quantitative marketing and economics expert specializing in media, technology, and information economics. Combining applied theory and empirical analysis, Professor Yildirim studies online platforms, artificial intelligence (AI), privacy, digitization, and social networks. The American Marketing Association (AMA) honored her in 2020 with the Erin Anderson Award, which recognizes a female marketing scholar likely to become a leading academic in the field.

In her research, Professor Yildirim analyzes such topics as advertising and competitive product positioning, the role of choice in two-sided platforms, and the incentive of platforms to moderate content. Professor Yildirim also studies social network design, the impact of advertising on media content, and the use of social network data in credit scoring. The Federal Communications Commission (FCC) noted her work on social media and political contributions in 2021 proposed rulemaking involving political programming.

Professor Yildirim’s research has been published in leading peer-reviewed journals, including the American Economic Review, Marketing Science, the Journal of Marketing Research, Quantitative Marketing and Economics, and Management Science. She also serves on the editorial boards of Marketing Science and the Journal of Marketing Research. Numerous mainstream media outlets have covered her work, including CNN, Forbes, the New York Times, NPR, Politico, the Wall Street Journal, and the Washington Post.

At Wharton, Professor Yildirim has received awards for teaching excellence. She teaches undergraduate and M.B.A. courses in marketing research and marketing strategy for technology platforms and executive education modules focused on digital marketing, business in the metaverse economy, and marketing for financial firms.

Professor Yildirim is also a Faculty Research Fellow in the Productivity, Innovation, and Entrepreneurship Program at the National Bureau of Economic Research (NBER).

Our extensive network includes top experts from academia and industry.

Victoria Stodden

Associate Professor,
Daniel J. Epstein Department of Industrial & Systems Engineering,
University of Southern California

Victoria Stodden is an internationally recognized statistician and data scientist. Professor Stodden analyzes the reliability of scientific results, particularly in the context of sophisticated computational approaches to research. Her expertise includes statistical sampling and statistical data analyses, big data methods, the design and implementation of scientific validation systems, and openness standards for data and code sharing.

As part of her work to make data applications more transparent and verifiable, Professor Stodden developed the “Reproducible Research Standard,” a suite of open licensing recommendations for disseminating computational results. While at Yale Law School, she won the Kaltura Prize for Access to Knowledge for her research on legal issues in reproducible research and scientific innovation.

Professor Stodden has testified on scientific reproducibility before the Congressional House Committee on Science, Space & Technology and co-chaired the National Science Foundation’s Advisory Committee for Cyberinfrastructure. She has been a member of the National Science Foundation’s Advisory Committee for the Computer and Information Science and Engineering (CISE) Directorate. She has also served on several National Academies of Science, Engineering, and Medicine committees.

Professor Stodden has published more than fifty papers in academic journals and conference proceedings, and co-edited two books: Privacy, Big Data, and the Public Good: Frameworks for Engagement, and Implementing Reproducible Research. She has served as associate editor for the Harvard Data Science Review, the Annals of Applied Statistics, and on the editorial advisory boards of a number of other statistics and data science journals.

Before joining USC, Professor Stodden held visiting and permanent faculty positions at the University of California, Berkeley, Columbia University, and the University of Illinois at Urbana-Champaign, where she received tenure. She was a Kauffman Fellow in Law and Innovation at Yale Law School and a fellow at Harvard Law School’s Berkman Center for Internet & Society.

Professor Stodden holds a Ph.D. in statistics and a law degree from Stanford University. She teaches courses in data science, statistical theory, quantitative methods, and machine learning, among other topics.

Consumer Fraud and Product Liability Capabilities

Cornerstone Research has addressed issues of certification, exposure, reliance, impact, and damages in class actions. Key questions in these cases may include whether common evidence can prove that certain challenged conduct caused each member of the proposed class to make a purchase and whether the challenged conduct injured each member of the proposed class. An additional consideration is whether each proposed class member’s damages, if any, can be determined by common proof. We have worked on class actions involving allegations of:

  • The benefit of the bargain harm, where plaintiffs claim that consumers would have allegedly paid less or not purchased the product at issue had they not allegedly been misled or had defendants not acted in in bad faith, because of improper labeling, advertising, or disclosure
  • Diminished resale value of a durable good due to the challenged conduct
  • Demand and price inflation claims that plaintiffs argue caused class-wide impact, even for consumers who were not influenced by the challenged conduct

Class certification in these cases frequently turns on the particulars of the challenged conduct, the overall structure of the industry and the market, and the characteristics of individual transactions. We evaluate these issues through empirical research within a framework of sound economic concepts.

Individual actions involving allegations of fraud and misrepresentation are often brought by a defendant’s competitors. These cases may require a focus on the relevant market, quantification of the effect of the challenged conduct on demand and prices for competing products, and estimation of damages suffered by competitors due to the defendant’s alleged fraud or misrepresentation.

In addition to lost sales and price erosion, some plaintiffs may also seek reputational damages and punitive damages. We have substantial experience analyzing these specific types of claims, applying our expertise in economics, marketing, finance, econometrics, and accounting.

Our experience in individual actions includes allegations of fraud and misrepresentation in matters involving a broad array of industries and consumer products.

Cornerstone Research staff and experts have significant experience in survey design, including analyzing and implementing reliable sampling techniques. We regularly conduct and critique surveys of market participants to assess consumer behavior, attitudes, and preferences, and to address issues relating to exposure, reliance, and materiality. In some cases, we supplemented these empirical findings with analysis of data originally collected over the course of business as well as from publicly available data sources.

Cornerstone Research regularly formulates and implements empirical analyses to respond to economic and financial issues. We have specialized staff with expertise in advanced modeling and statistical techniques, including difference-in-differences, hedonic regression, and synthetic control methods, among others. We frequently use real-world, large datasets with sophisticated statistical and econometric methods.

We have experience working with experts to develop and implement rigorous, state-of-the-art content analysis techniques—including artificial intelligence and machine learning—to assess marketing messages (such as advertisements), social media and user-generated online content, and other content involving extensive textual data, such as public press spanning many years.

Conjoint analysis is a survey-based marketing research tool developed by academics to understand and estimate consumer preferences. It has been adopted by businesses and industry practitioners to help make decisions on new product development and market segmentation analysis, among other uses. Over the last several years, conjoint analysis has been increasingly proposed as a method to estimate class-wide damages in a variety of consumer class actions including product liability, false advertising, product labeling, and data privacy and data breach matters. However, the technique’s underlying assumptions and limitations render it unsuitable for calculating damages in a class action setting.

Cornerstone Research has rich experience in analyzing causation, impact, and damages issues in the automobile industry. We have addressed allegations of benefit of the bargain harm and diminished resale value in these cases.

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Consumer Finance
We have worked on consumer finance cases involving credit cards, checking accounts, and pension plan choices. Our experience encompasses fraud and misrepresentation allegations as well as deceptive advertising and inadequate disclosure claims.

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Food, Beverage, and Dietary Supplements
In the food, beverage, and dietary supplements industries, Cornerstone Research has applied economic and statistical methods and marketing research techniques such as surveys to cases involving allegations of false advertising, omissions of material information, and product misrepresentation. We have worked on matters involving “All Natural” claims on product labels, health-related claims on product packaging and advertising, the amount of “slack-fill” in product packaging, the amounts of ingredients included in a product, and comparative advertising between competing products, among others.

Life Sciences and Healthcare
We have worked on several cases involving allegations of fraud and misrepresentation in life sciences and healthcare matters.

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In several technology and manufacturing cases, attorneys have retained Cornerstone Research to analyze issues related to alleged false advertising, deception, product liability, and demand and price inflation.

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Other Consumer Products
Our staff have assessed allegations of false advertising, deception, and product liability in many consumer products.


Data Privacy and Data Breach

Cornerstone Research has experience in high-profile data privacy and data breach matters, addressing a wide range of damages methodologies and analyses commonly used by plaintiffs in class actions in the United States.

Our experience covers all stages of litigation, including pre-litigation assessment of exposure, support for mediation, and expert testimony support at the class certification and merits phases. We also have substantial experience assisting clients in regulatory proceedings relating to data privacy or data breach issues in the United States and Europe.

Featured Cases

Featured Publications

22 May 2024

Samid Hussain Recognized as Top 25 Automotive Consultant and Leader of 2024

The Consulting Report named Samid Hussain of Cornerstone Research to its annual list of elite consultants providing expert support to clients.

1 April 2024

Law360 Names Cornerstone Research Professionals to 2024 Editorial Advisory Boards

Law360 taps Cornerstone Research's professionals for private equity & product liability editorial advisory boards.

29 July 2023

The Cambridge Handbook of Marketing and the Law

Cornerstone Research experts and staff contributed chapters on valuation of personal data, brand value, search engine advertising, and marketing an...

26 July 2023

Jonah Berger Honored with Sage 10-Year Impact Award for Research with Long-Term Influence

Global academic publisher Sage Journals recognizes Professor Berger’s “What Makes Content Go Viral” article for its lasting impact on the social an...

18 May 2023

Banking Industry

A look at recent events in the banking industry, what is new and what is familiar.

5 April 2023

Appraisal Litigation in Delaware—Trends in Petitions and Opinions, 2006–2022

Court-awarded premiums have also fallen sharply as court rulings have relied more on market evidence and deal price.

5 April 2023

Volume of 2022 Delaware Shareholder Appraisal Petitions Returns to Pre-Boom Levels as Court Decisions Have Made Appraisal Litigation Riskier

Court-awarded premiums have also fallen sharply as court rulings have relied more on market evidence and deal price.

15 December 2022

Consumer Analysis Techniques for Partitioned Pricing Cases

This article analyzes recent regulatory and litigation trends surrounding partitioned pricing.

31 March 2022

The Weak Foundations of Conjoint Analysis

David Gal of University of Illinois discusses the methodological limitations of conjoint analysis for assessing consumer preferences and estimating...

17 November 2021

Damages in Consumer Class Actions

The authors discuss methods such as conjoint surveys and regression analysis in the ABA’s A Practitioner's Guide to Class Actions.

How can we help you?

For more information or assistance with a specific matter, please contact us.