Retail Store Visitors

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This dataset has recently been updated

For more information, visit the changelog.

Overview

Anonymized and aggregated visitor characteristic data for specific POIs, including date range, educational attainment, income, other brands visited, and more.

Data InformationValue
Refresh CadenceAdhoc
Historical Coverage5 Years Rolling
Geographic CoverageUnited States

Schema

NameDescription
STORE_IDThe unique identifier of the particular store.
NAMEThe name of the store.
BRANDThe name of the brand that the store belongs to.
STREET_ADDRESSThe street address that the store is located on. May contain abbreviations.
CITYThe city that the store is located in.
STATEThe state that the store is located in, formatted as an abbreviation.
ZIP_CODEThe zip code that the store is located in.
MONTH_STARTINGThe start date of the month.
MONTH_ENDINGThe end date of the month.
TOTAL_VISITSThe total number of visits seen that week.
VISITOR_BRAND_DESTINATIONSThe percentage of visitors who have been seen visiting another brand.
VISITOR_PSYCHOGRAPHIC_PROFILESThe percentage of visitors classified in each of TransUnion’s 56 profiles.
VISITOR_EDUCATIONAL_ATTAINMENTThe probability of visitors to have attained each level of education.
VISITOR_INDUSTRYThe probability of visitors to be occupied in each industry.
VISITOR_AGE_RANGEThe probability of visitors to be within each age range bracket.
VISITOR_HOMEOWNERSHIPThe probability of visitors to own or rent their home.
VISITOR_HOUSEHOLD_INCOMEThe probability of visitors to be within each income bracket.
VISITOR_COMMUTEThe probability of visitors to get to work for each transport type.

Key Concepts

Quarterly Reinstatements

Pass_by produces a full refresh of their datasets each quarter. This means the historical data may change as they update their algorithm and fix any issues. Therefore, we recommend that you take note of the release “version” you accessed, as noted by the Date included in the product name, and only use one version for your research. Each version will have 5 years of rolling history.

Store_ID

Pass_by provides a unique identifier for each POI, Store_ID. Use this key to match Retail Store Visits to Retail Store Visitors.