Vega’s expert network includes academic leaders with broad marketing and business industry knowledge as well as highly specialized expertise in industry best practices, research methodology, and marketing statistics. The experts in our network provide comprehensive market research and survey design to support litigation and corporate decision making. Our experts utilize market research methodologies including conjoint analysis and test/control experiments to provide quantitative and qualitative insights used in intellectual property disputes, to develop strategic plans, and to offer insights on issues such as price optimization.

Our experts also have experience with design and implementation of surveys that are used to address issues at the class certification, liability, and damages phases of litigation. Vega Economics applies proven methodologies to litigation issues where consumer opinions and behaviors are an important determinant of liability and damages.  Surveys may address issues such as:

  • Trademark Infringement
  • Deceptive Advertising
  • Class Action
  • Claim Substantiation
  • Payment Infringement
  • Content Analysis
  • Antitrust
  • Rebuttal Surveys and Reports
Greg M. Allenby

Helen C. Kurtz Chair in Marketing and Professor of Marketing and Statistics at Ohio State University's Fisher College of Business

  • Marketing & Surveys
On Amir

Professor of Marketing and Associate Dean of Student Experience at Rady School of Management, University of California, San Diego

  • Marketing & Surveys
Kurt Carlson

Fields Professor of Marketing at the Raymond A. Mason School of Business

  • Marketing & Surveys
Steven Cuellar

Professor of Economics at Sonoma State University and Director of Advanced Marketing Analytics for Sonoma Research Associates

  • Marketing & Surveys
  • Labor & Employment
David Gal

Professor of Marketing at University of Illinois at Chicago

  • Environmental, Social, and Governance (ESG)
  • Marketing & Surveys
Claire Tsai

Associate Professor of Marketing, Rotman School of Management, University of Toronto

  • Marketing & Surveys
Kosuke Uetake

Associate Professor of Marketing in the Yale University School of Management

  • Marketing & Surveys
  • Healthcare & Health Economics
  • Antitrust & Competition
Russell S. Winer

William Joyce Professor of Marketing at the Stern School of Business, New York University

  • Marketing & Surveys
Robert Zeithammer

Associate Professor of Marketing at the Anderson School of Management, University of California Los Angeles

  • Marketing & Surveys
January 23, 2023 | Expertise
Survey Implementation and Administration Capacities

Vega Economics is well-equipped with the capabilities and experience to efficiently assist our experts in designing and implementing surveys to reliably address the distinct issues in each case. Check out our Survey Implementation and Administration Capacities brochure to learn more about how the Vega team and experts approach surveys.

March 29, 2022 | Article
The Weak Foundations of Conjoint Analysis

In his recent paper, Prof. David Gal from the University of Illinois examines the limitations of conjoint analysis, a tool often used in litigation to estimate consumer preferences.

March 15, 2022 | Article
Prof. David Gal Studies the Limited Impact of Nudges

Behavioral scientist Prof. David Gal from University of Illinois at Chicago and his colleague study the limited impact of nudges.

January 28, 2022 | Brochure
2021 Year in Review

As we look back on our practice throughout 2021, we are proud of the variety of issues our work has covered. We had the opportunity to support several outstanding experts from a variety of disciplines and welcomed several new experts to our network. You’ll learn more about our work last year in this brochure, our 2021 Year in Review.

December 3, 2020 | Article
Predicting Consumers' Choices in the Age of the Internet, AI, and Almost Perfect Tracking: Some Things Change, the Key Challenges Do Not

Vega expert Professor David Gal provides insight into the limits of artificial intelligence, machine learning, and big data, as well as those of traditional survey and experimental methods, in predicting consumer choices.