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Courses/Litigation, Trial & Dispute Resolution/Litigation

Adopting Conjoint Analysis in Litigation: Measuring Consumer Value in Class Actions & IP Disputes

Master the empirical tool that turns consumer preference into defensible damages in class actions and IP disputes.

Created byKnowledge Group
BeginnerUpdated Jul 30, 2026
Adopting Conjoint Analysis in Litigation: Measuring Consumer Value in Class Actions & IP Disputes

What You'll Learn

check_circleExplain the economic principles underlying conjoint analysis and its growing use in consumer class actions and intellectual property litigation.
check_circleIdentify common litigation applications of conjoint analysis, including the assessment of price premiums, consumer valuation, and damages apportionment.
check_circleEvaluate the key elements of a reliable conjoint study, including survey design, attribute selection, market realism, and methodological limitations.
check_circleAssess how courts scrutinize conjoint evidence under applicable evidentiary standards and recognize practical considerations when using such studies in litigation.
check_circleEvaluate common expert challenges and legal standards for the admissibility of conjoint evidence.

About This Course

Conjoint analysis, long used in marketing research to measure how consumers value product attributes, has increasingly been introduced in litigation as a tool for quantifying economic harm. In consumer class actions and intellectual property disputes, conjoint studies are often proposed to estimate the value consumers place on specific product features, including allegedly misleading claims or protected intellectual property.

What You Will Learn in this Webinar:

  • This presentation examines how conjoint analysis can be designed and applied in litigation settings. It will discuss the economic principles behind conjoint methods, the types of legal questions they are used to address, such as price premium or apportionment, and the practical considerations involved in implementing a reliable study. The discussion will also highlight key challenges that arise in litigation, including survey design, attribute selection, market realism, and judicial scrutiny under evidentiary standards.
  • Drawing on recent cases and expert practice, the presentation will explore both the promise and limitations of conjoint evidence. The goal is to provide practitioners with a clearer understanding of when conjoint analysis may be appropriate, how it can inform damages analysis, and what issues commonly arise when such studies are evaluated by courts.

Your Instructors

Knowledge Group
Knowledge Group

Live and Recorded CLE & CPE Webcasts in the Legal, Tax, Finance, Risk, Compliance and Human Resources Industries

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Founded in November 2006, The Knowledge Group has established itself as a premier eLearning hub for Continuing Legal Education (CLE), Continuing Professional Education (CPE), and technology-focused webcasts. We equip lawyers, accountants, and industry professionals with expert-driven insights, timely regulatory updates, and practical strategies to help them stay ahead in an ever-evolving landscape.

Zi Peng, Ph.D.
Zi Peng, Ph.D.

Managing Director, Economic Litigation Consultant, Econometrician at StoneTurn

Dr. Zi Peng, a Managing Director in StoneTurn’s Los Angeles office, brings over a decade of experience in economics and the application of advanced statistical models across various sectors, including labor and employment, finance and securities, antitrust, and consumer class action cases. With his unique combination of academic experience and practical expertise, Dr. Peng offers valuable economic insights that help clients navigate complex economic issues and inform strategic decision-making.

Wanyi  Yang
Wanyi Yang

Senior Consultant, Economic Litigation Consultant at StoneTurn

Wanyi (Wendy) Yang is a Senior Consultant at StoneTurn with five years of experience in economic consulting and litigation support. Her practice focuses on applying empirical research methods – including consumer survey research, conjoint analysis, statistical and econometric analysis, sampling, and damages modeling – to address complex economic issues in consumer class action, intellectual property, healthcare, and other commercial disputes. She collaborates closely with economic experts to quantify consumer preferences, assess economic harm, and develop empirical evidence to support litigation across a wide range of industries, including telecommunications, automotive, consumer products, and higher education. Her recent work has included designing and analyzing conjoint studies, estimating consumer valuation and price premiums, and supporting expert reports in litigation, delivering clear, data-driven insights for clients and legal teams.

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