BayesiaLab
Driver Analysis in Brand Trackers Bayesian Network Vs Shapley Value Regression

Driver Analysis in Brand Trackers — Bayesian Network vs Shapley Value Regression

Presented at the 10th Annual BayesiaLab Conference on Wednesday, October 26, 2022.

Abstract

In this second presentation, the authors used real survey data from a syndicated study covering two categories, three countries, and more than 60 brands to assess the differences between the two methods at any point in time (cross-section view) and over time (longitudinal view).

Presentation Video

Presentation Slides

Please also see the first presentation by GfK at the BayesiaLab Conference:

About the Presenters

Alexandra Chirilov, Head of Global Marketing Science, GfK SE

Alexandra Chirilov is leading GfK’s Global Product Development Practice for consumer and brand intelligence. Her insights and research have been featured in publications such as Esomar, Journal of Marketing Research, Sawtooth, and more. She is a winner of the ESOMAR Corporate Young Professional Award, among other industry awards.

James Pitcher, GfK Marketing Sciences Lead UK

James Pitcher leads GfK’s Marketing Sciences team in the UK, which designs and delivers sophisticated analytical solutions to solve client high-value problems. He has spent the last 15 years providing statistical advice and consultancy within the market research industry, working with clients across many different sectors and regions. James is an expert in conjoint analysis, brand research, pricing, consumer segmentation, and a wide range of multivariate techniques, including Bayesian Networks analysis, contributing to the development of innovative techniques and regularly presenting at international conferences.

Andrzej Surma, Senior Marketing Scientist, GfK

Andrzej Surma works as a methodological lead for the Global Product Development Team. He has more than ten years of experience in data analysis. With a background in mathematics, Andrzej loves to solve problems, such as recognizing the Greek letters contained within formulas that describe mathematical models! Recently, he co-created a Bayesian Networks approach to running Key Drivers Analysis on brand tracking data. Spatial data analysis is another particular interest of his. Andrzej likes to be active in his free time, playing football and riding bikes and is inspired daily by his wife and their three children.


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