Marketing Databases

Marketing at Chicago Booth plays a central role in the commitment to enhance and broaden the school's impact and reputation in all its intellectual endeavors, consistent with our history and values. We accomplish this by making available subscription datasets and public datasets for academic researchers.


Subscription Databases

Nielsen Datasets at the Kilts Center for Marketing

The James M. Kilts Center for Marketing at Chicago Booth and the Nielsen Company have joined together to make marketing data available to approved academic researchers in the United States. The Nielsen datasets start in 2004 and will be updated on an annual basis. The initiative extends knowledge, supports innovation, and enhances the practice of marketing.

Learn more about the Nielsen datasets and how to subscribe »

Public Databases

Dominick’s Database

The Dominick’s database contains nine years of store-level data on the sales of more than 3500 UPCs.

From 1989 to 1994, Chicago Booth and Dominick's Finer Foods entered into a partnership for store-level research into shelf management and pricing. Randomized experiments were conducted in more than 25 different categories throughout all stores in this 100-store chain. As a by product of this research cooperation, approximately nine years of store-level data on the sales of more than 3500 UPCs is available in this database. This data is unique for the breadth of its coverage and for the information available on retail margins.

Access the Dominick’s database »

ERIM Database

The ERIM database contains data collected by the now-defunct ERIM division of A.C. Nielsen on panels of households in two mid-sized midwestern cities. Information is available on the purchases of households in a number of product categories along with household demographic information.

For a subset of households, TV viewing data is available to measure exposure to commercials involving the products in each of the ERIM categories.

Access the ERIM database » 

bayesm

bayesm is a software package for Bayesian analysis of many models of interest to marketers. In addition, bayesm contains a number of interesting datasets, including scanner panel data, key account level data, store level data and various types of survey data.

Learn more about bayesm’s features and how to install it on your computer »