2020 Advanced Research Techniques (ART) Forum

Simon Business School - University of Rochester Rochester, NY

Wednesday, June 3

8:30 am

Registration & Continental Breakfast

9:15 am

Opening Comments

9:30 am - 11:30 am

Tutorial 1A - Intro to R & Tidyverse

Tutorial 1B - Intro to Discrete Choice Experiments

Keith Chrzan
Sawtooth Software – SVP Analytics

11:30 am - 12:30 pm


12:30 pm - 2:30 pm

Tutorial 2A - Intro to Bayesian Statistics

Tutorial 2B - Intro to Machine Learning in R

Paul B. Ellickson
Professor of Economics and Marketing
University of Rochester

Tutorial 2C - A/B Testing for Measuring Incremental Effects

Elea  McDonnell Feit
Assistant Professor of Marketing
Drexel University

2:30 pm - 3:00 pm


3:00 pm - 5:00 pm

Tutorial 2A - Advanced Digital Experiments

Caio Waisman
Assistant Professor of Marketing
Northwestern University

Garrett Johnson
Assistant Professor of Marketing
Boston University

Tutorial 3B - Text Analytics

Huaxia Rui
Associate Professor
University of Rochester

Tutorial 3C

5:00 pm - 6:00 pm

Poster Session with Reception

  1. Using Neuroimaging Data to Improve Choice-Based Conjoint
  2. Analyzing Mail-in Rebate Promotion
  3. Comparison and Evaluation of Various Forms of Conjoint Analysis to Market Data of a Completely Configurable Product
  4. A Model of Time Usage and Entertainment Goods Competition
  5. Does Country-of-Origin Marketing Matter?
  6. Synthetic retail data generation using Generative Adversarial Networks (GANs)
  7. Words to the Wise: Driving Better (and Data-Informed!) Brand Decisions with Social Listening
  8. Attribute-Level Trend Tracking Using Natural Language Processing and Market Dat
  9. Product2Vec: Understanding Product-Level Competition Using Representation Learning

Thursday, June 4

7:30 am


8:15 am


8:30 am - 10:00 am

Session 1A & B

A Hybrid Approach to Counterfactual Demand Predictions Using Machine Learning Methods
Dong Soo Kim
Assistant Professor of Marketing
Ohio State University

A Comparison of Traditional and Bespoke Partial Profile Choice-Based Conjoint Methods
Megan Peitz

10:00 am - 10:30 am


10:30 am - 12:00 pm

Session 1C & D

Modeling Market Share Changes and Sourcing in Longitudinal Multi-Item Sales Data: Multinomial Probit with Structured Accept-Reject Simulations
Kevin Lattery
VP Methodology & Innovation
SKIM Analytical

Shrinkage Priors for High-Dimensional Demand Estimation
Adam N. Smith
Assistant Professor of Marketing
University College London

12:00 am - 1:30 pm

Lunch and Award

1:30 pm - 3:00 pm

Session 2A & B

Principal Stratification for Marketing Experiments
Elea McDonnell Feit
Assistant Professor of Marketing
Drexel University

The Online Display Ad Effectiveness Funnel & Carryover: Lessons from 432 Field Experiments
Garrett Johnson
Assistant Professor of Marketing
Boston University

3:00 pm - 3:30 pm


3:30 pm - 4:15 pm

Session 2C

Parallel experimentation in a competitive advertising marketplace
Caio Waisman
Assistant Professor of Marketing
Northwestern University

4:15 pm - 5:00 pm

Round Table Discussions

5:00 pm - 7:00 pm


Friday, June 5

8:00 am


9:00 am - 10:30 am

Session 3A & B

The Impact of Coalition Loyalty Program Evolution on Member Purchases and Redemptions
Wayne Taylor
Assistant Professor of Marketing
Southern Methodist University

Modelling Short and Long-Term Marketing Effects in the Consumer Purchase Funnel
Dr. Peter Cain
Executive Partner

10:30 am - 11:00 am


11:00 am - 11:45 am

Session 3C

Dynamic Coupon Targeting Using Batch Deep Reinforcement Learning: An Application to LiveStream Shopping
Xiao Liu
Assistant Professor of Marketing
New York University

11:45 am - 1:00 pm

Lunch and Closing