NielsenIQ - Retail Scanner Data
Dataset Format: he files are in a flat TSV (tab-separated values) format. https://www.chicagobooth.edu/research/kilts/datasets/nielsenIQ-nielsen Other campuses may subscribe to this dataset. See register form.
Description: Retail Scanner 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. Only tenured & tenure-track faculty, PhD students, and postdoctoral researchers are eligible for an account. Register: https://marketingdata.chicagobooth.edu/Anonymous/Welcome Bloomington Only.
Features: Years Available: 2006+ Store Demographics: Includes store chain code, channel type, and area location. Retailer names are masked to protect identity. Weekly Product Data: For each UPC, participating stores report units, price, price multiplier, baseline units, baseline price, feature indicator, and display indicator. Products: Weekly product data for 2.6-4.5 million UPCs including food, nonfood grocery items, health and beauty aids, and select general merchandise aggregated into 1,100 product categories. The structure matches that of the consumer panel data. All private-label goods have a masked UPC to protect retailer identity. Product Characteristics: All include UPC code and description, brand, and more. Geographies: Scanner Data from 35,000-50,000* grocery, drug, mass merchandiser, and other stores. Data cover the US, divided into 52 major markets. Retail Channels: Food, drug, mass merchandise, convenience, and liquor. *As of 2018, approximately 15,000 more stores added.
Contact:
- Unit: Kelley School of Business
- Campus: Bloomington
- Resource Type: Datasets
- Contact Name: Craig Eich
- Contact Email: ceich@indiana.edu
