Retail Store Visits

Overview

pass_by's innovative AI-powered Retail Store Visits dataset spans more than 3M POIs, 7,000 brands, 43M devices, and 6B daily data points, delivering critical insights to fuel important analysis of consumer behavior, market trends, brand loyalty, and similar research topics.

Data InformationValue
Refresh CadenceAdhoc
Historical Coverage5 Years Rolling
Geographic CoverageUnited States

Schema

Create a Dewey Data login and navigate to the Table Structure view in the product for a description of each variable.
Retail Store Visits Table Structure

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.

Placekey Matching

Pass_by provides a key matching dataset that allows you to join a Placekey to store_id. This will allow you to easily join this dataset to other Dewey partners that use Placekey as a unique identifier (e.g. Advan Research, SafeGraph). pass_by Placekeys

FAQs

What is the refresh rate for pass_by?

Pass_by has a unique refresh schedule, and the historic data is fully updated every quarter. We recommend only using one “version” of the product for your research. You can read more about it above.