Matt Meister

Matt Meister is an Assistant Professor at the University of San Francisco's School of Management, Department of Marketing. He holds a PhD in Marketing from the University of Colorado Boulder (2023) and a Business Administration degree from Ivey Business School (2018). Prior to academia, he worked in Data Analytics at Pelmorex Inc. and currently advocates for open science through shared data/code repositories (specster R package, Python web-scraping tools).

His research focuses on consumer decision-making, particularly how consumers communicate experiences and learn from others' reviews. Key themes include the reliability of star ratings, the impact of certifications (e.g., Airbnb's Superhost status), and financial decision-making dynamics. He emphasizes reproducibility via open science practices.

His notable works include analyzing how certifications like Airbnb's Superhost paradoxically lower ratings due to raised expectations, and demonstrating consumers' over-reliance on star ratings despite contextual biases. Recent publications appear in journals like the Journal of Consumer Research.

Awards include the 2024 Hillel Einhorn Runner-Up Award and the 2023 Outstanding Doctoral Research Award. He actively serves on USF committees for DEI and Centennial Celebrations.

Teaching focuses on statistics/data analytics (R, econometrics) and marketing analytics, emphasizing hands-on learning with real-world datasets.