Each of the thirteen federal courts of appeal have their own test for evaluating whether a likelihood of confusion exists between two trademarks. Although the tests are not identical, most of them are substantially similar and use many of the same factors. And the factors are non-exclusive.
Am. Rice Inc. v. Producers Rice Mill, Inc., 518 F.3d 321, 329 (5th Cir. 2008).
Beginning her career in consumer package goods, Ms. Harper is a data-driven marketer who has conducted and/or overseen thousands of research studies.
Ms. Harper has been retained by more than 140 law firms nationwide to formulate expert surveys, conduct rebuttal critiques, or construct rebuttal surveys to show the potential difference in results with properly designed and executed surveys. She has extensive experience and a deep understanding of survey design, sampling, question construction, data analysis, and methodological pitfalls that introduce bias or systematic error.
Consumer opinions, behavior, and potential confusion are key issues in Lanham Act litigation and TTAB proceedings. Ms. Harper develops surveys and analyze these issues in relation to trademark or trade dress infringement, dilution, secondary meaning, and genericness or descriptiveness. She uses only the most advanced online survey platform methods: representative panels, various question types and formats, real-time results, advanced rotation/randomization, quota building, skip and display logic, audio/video/image capabilities, and advanced screening and analytics capabilities.
Thorough review and response to an opposing expert’s survey work is a critical component of a successful rebuttal strategy. Ms. Harper provides guidance on how to approach the opposing counsel’s evidence in order to make a strong, effective rebuttal, including crafting effective critiques or constructing rebuttal surveys.
Ms. Harper evaluates the quality and reliability of opposing counsel's survey evidence. She provides assessments of the degree to which surveys conform to generally-accepted principles of proper survey research. She have extensive experience and a deep understanding of survey design, sampling, question construction, data analysis, and methodological pitfalls that introduce bias or systematic error.