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Nielsen Datasets: About

About


Eligibility for access is strictly limited to current UCI
tenured and tenure-track faculty, PhD students, and Postdoctoral researchers.  

 

Researchers may not share the data with individuals not registered and approved by the Kilts Center, including any student in an undergraduate or master’s program.  These access limitations are Nielsen / NielsenIQ's policies.  


 

The Nielsen Datasets

Data is from a partnership between NielsenIQ, Nielsen, and the Kilts Center for Marketing at the Chicago Booth School of Business.  The datasets are:

  • Consumer Panel Data
    Longitudinal data beginning in 2004 with annual updates. These data track a panel of 40,000–60,000 US households and their purchases of fast-moving consumer goods from a wide range of retail outlets across all US markets.

  • Panel Views Surveys
    Complementary to the Consumer Panel Data.  Additional data about households and their members. 

  • Retail Scanner Data
    Data consist of weekly pricing, volume, and store environment information generated by point-of-sale systems from more than 90 participating retail chains across all US markets. Data begin in 2006 and include annual updates.

  • Ad Intel Data
    Data cover advertising occurrences for a variety of media types across the United States, for the years 2010-2016, with annual updates available each year. These data can be broken down by Market Code (i.e. ~200 Designated Market Areas (DMAs), which can be matched to DMAs in the Consumer Panel and Retail Scanner datasets).

 

Documentation
The Kilts Center is contractually prohibited from providing full documentation about the datasets until a researcher has registered with the Kilts Center. For questions, about documentation please contact the Kilts Center.

 

Release Schedule
According to staff at the Kilts Center, the datasets are released simultaneously and on a one-year lag; i.e. the 2020 release had 2018 data. The release date will vary, depending on both when the Kilts Center receives the data from Nielsen, and how long data cleanup takes.
 

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