ANNIE L. SHI

Assistant Professor in Marketing, University of Florida - Warrington College of Business (begin in Fall 2025)

Her research focuses on two pivotal areas: the effects of promotions on consumer behaviors on online platforms and the strategic application of marketing principles to public health challenges. Additionally, she is passionate about addressing methodological issues in marketing models. She integrates causal inference methods with artificial intelligence algorithms and employs structural models to capture consumer behaviors that the former methods cannot address.

Research Interests:

  • Effects of Promotions on Consumer Behaviors on Online Platforms

  • Healthcare Marketing

  • Methodological Innovations in Marketing Models

Education:

Washington University in St. Louis

  • Ph.D. in Marketing, 2025

University of California, Davis

  • M.S. in Statistics, 2018

  • M.A. in Economics, 2017

University of Washington

  • B.A. in Economics, 2015

Research

MANUSCRIPTS UNDER REVIEW:

  1. “Using Algorithmic Scores to Measure the Impacts of Targeted Promotional Messages”, Annie L. Shi, Tat Y. Chan, Dennis J. Zhang, Job Market Paper, risky revision at Journal of Marketing Research

  2. “Analytics-Driven Brand Differentiation for Social Impact: An Application to the Opioids Market”, Annie L. Shi, P.B. (Seethu) Seetharaman, Anthony Sardella, Michael Wall, Chenthuran Abeyakaran, second-round review at Journal of Marketing

WORKING PAPERS:

  1. “Decision-Theoretic Loss Function in Demand Estimation: An Application to Pricing”, with P.B. (Seethu) Seetharaman, Durai Sundaramoorthi, working paper

  2. “AI Feynman: A Powerful New Approach to Discover Marketing Laws”, with P.B. (Seethu) Seetharaman, working paper

  3. ““Please Take Your Medication!” The Impact of Marketing Communications on Medication Adherence”, with Hai Che, Yang Qian, P.B. (Seethu) Seetharaman, working paper

  4. “Impact of Covid-19 Lockdown on Customer Shopping: A Supermarket Retail Demand Perspective”, with Guangying Chen, P.B. (Seethu) Seetharaman, working paper

WORK IN PROGRESS:

  1. “Correlated Visits and Purchases on Online Retail Platforms”, with Tat Y. Chan, Shilei Luo, Dennis J. Zhang, work in progress

  2. “Brand Level Aggregation in Consumer Choice Models Estimated on Scanner Panel Data: Innocuous or Harmful? An Empirical Examination Across 5 Product Categories”, with Yuhan Dong, P.B. (Seethu) Seetharaman, work in progress

Invited Talks

  • Rutgers Business School, Rutgers University - Newark, Nov. 2024

  • Warrington College of Business, University of Florida, Oct. 2024

  • Goizueta Business School, Emory University, Oct. 2024

  • Carroll School of Management, Boston College, Oct. 2024

  • Rady School of Management, University of California San Diego, Oct. 2024

  • NUS Business School, National University of Singapore, Oct. 2024

  • Nanyang Business School, Nanyang Technological University, Oct. 2024

  • Neeley School of Business, Texas Christian University, Sep. 2024

  • Muma College of Business, University of South Florida, Sep. 2024

Conference

  • Using Algorithmic Scores to Measure the Impacts of Targeting Promotional Messages

    • 47th ISMS Marketing Science Conference, Washington DC, 2025 (Scheduled)

    • BizAI Conference, UT Dallas, 2025

    • 18th Annual Bass FORMS Conference, UT Dallas, 2024

    • 4th AIM Conference, USC, 2024

    • 45th ISMS Marketing Science Conference, Miami, 2023

    • 33rd Annual POMS Conference, Orlando, 2023

    • China India Insight Conference, USC, 2022

  • Tackling the US Opioid Crisis: Data-Driven Detection of Suspicious Retail Buyers

    • INFORMS Workshop on Data Science, Seattle, 2024

    • InsightsOn Conference at Yale School of Management, Yale, 2024

    • 45th ISMS Marketing Science Conference, Miami, 2023

    • 33rd Annual POMS Conference, Orlando, 2023

    • Conference on Artificial Intelligence, Machine Learning, and Business Analytics, Harvard, 2022

    • WashU Olin Brookings Commission, Brookings Institution, Washington DC, 2022

Teaching

Instructor - University of Florida

  • MAR 6722 - Web-Based Marketing (Master) - SP25

Co-Instructor - Washington University in St. Louis

  • MKT 555.21 - Analytics Driven Brand Management (Master) - SP22

  • MKT 555.A - Data Analysis for Brand Management (Master) - SP22

Hobbies:

singing, weight training, tennis, watching hockey and football

Contact: annie.shi@warrington.ufl.edu