Cameron Colella consults on matters related to consumer fraud and product liability claims. In these contexts, Ms. Colella has experience with consumer behavior, branding, reputational harm, defamation, and data privacy issues, as well as content analysis, survey methodology, and quantitative analyses of large datasets. She leads teams to support clients and experts through all stages of litigation, including deposition and trial.
Ms. Colella’s expertise encompasses a range of industries and product categories, including consumer packaged goods, media, pharmaceuticals, and technology.
Consumer fraud and product liability
Ms. Colella has extensive experience with matters alleging consumer fraud. Her work in this area has involved:
- Assessing the impact of alleged misrepresentations and omissions on labels and advertisements
- Evaluating allegedly deceptive practices by technology and social media companies
- Analyzing consumer behavior in the context of class certification and materiality issues
- Applying various content analysis methods, ranging from traditional approaches to artificial intelligence (AI)-based models, in matters alleging false advertising
Defamation and reputational harm
Ms. Colella uses cutting-edge techniques to capture consumer perception in cases involving defamation claims and other types of brand and/or reputational harm. Her expertise includes:
- Applying both qualitative and quantitative methods to characterize allegedly harmful content
- Deploying large language models (LLMs) to measure changes in perceptions and sentiment associated with allegedly defamatory or otherwise harmful content
- Quantifying the reach of allegedly harmful content across various media types, including social media platforms
Surveys
Ms. Colella consults on all aspects of survey design, implementation, and rebuttal. Her experience includes:
- Designing and implementing surveys to assess class certification issues and materiality issues, as well as disputes related to intellectual property
- Evaluating consumer behavior surveys for design issues, including those that may lead to response bias or confusion, affect the sample’s representativeness and quality, or impact the external validity of results