Lanham Act (Eveready/Squirt) surveys & damages

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Specialties & Experience of this Expert Witness

General Specialties:

Marketing and Intellectual Property

Keywords/Search Terms:

Lanham Act, Trade dress, Claim substantiation, Damages apportionment, Influencer marketing, Likelihood of confusion, Secondary meaning, Consumer perception, Survey rebuttal, Pricing, Eveready survey, False advertising, Conjoint analysis, Daubert critique, Platforms, Squirt survey, Deception survey, Choice modeling, FRE 702, Retail

Education:

Ph.D. in Quantitative Marketing, Columbia University; M.Phil. in Marketing, Columbia Business School; B.A in Economics and Mathematical Statistics, Rutgers University

Years in Practice:

20

Additional Information

Lanham Act consumer surveys (Eveready, Squirt, trade dress, secondary meaning, deception). Conjoint/choice modeling for damages & apportionment. Rebuttals & Daubert/FRE 702 critiques. Services: survey design/oversight, conjoint valuation, report drafting, rebuttals, deposition, and trial testimony. Turnaround: record review 2–4 days; protocol 7–10 days; fielding 5–7 days; report 10–14 days post-field (scope-dependent). Availability: nationwide; English/Mandarin Chinese Conflicts: will conduct a conflicts check upon inquiry. Rates: standard expert rates; minimum engagement applies. Jonathan Z. Zhang is a tenured quantitative marketing professor and editorial leader specializing in consumer perception, branding, and digital platforms. He can design and critique Lanham Act consumer surveys—including likelihood-of-confusion (Eveready, Squirt, trade dress), secondary meaning, and deception/claim-substantiation—and conduct conjoint/choice-based analyses for valuation and damages apportionment. Jon also provides survey rebuttals and Daubert/FRE 702 critiques (universe, controls, stimuli realism, wording, coding, materiality). Jon serves as Dr. Ajay Menon Professor of Marketing at Colorado State University and Associate Editor at both the Journal of Marketing and Journal of the Academy of Marketing Science. His research appears in Journal of Marketing, Marketing Science, Management Science, Information Systems Research, and in practitioner outlets such as Harvard Business Review and MIT Sloan Management Review. He is a frequent media contributor (AP, NPR Marketplace, Bloomberg Businessweek, The Atlantic) known for clear, jury-friendly explanations. LinkedIn: www.linkedin.com/in/jonathan-z-zhang-9b7a6344 Google Scholar Profile: https://scholar.google.com/citations?user=_A7Aof8AAAAJ&hl=en