SafeGraph: Foot Traffic Patterns – Starbucks

Foot traffic insights for all Starbucks locations in the US.

Dataset Description:

Foot Traffic Patterns is a dataset containing aggregated foot traffic metrics to individual points of interest (POI), including visits and unique visitors, where else they also visit, median distance from home, median dwell time and more. This free dataset includes patterns for January, February, & March of 2020 for Starbucks locations across the US. Dataset contains patterns for more than 11,000 POI. This dataset is also available for download in all regions.

Samples/Tables Included:
-Other brands visitors went to on the same day
-Visits by day
-Distance from home

Fields Included:
-Location name
-Address
-Postal code
-Date range (start-end)
-Bucketed dwell time
-Raw visitor counts
-Popularity by day/hour
-Device type

Additional Information:
All SafeGraph POI-based datasets utilize Placekey (https://www.placekey.io/) as the primary key and are formatted as delimited CSVs. SafeGraph updates the Places dataset every month with the past month’s openings and closings and maintains a persistent Placekey across releases. Our detailed Core Places Schema(1) is available online. Additionally please refer to Places Data Manual(2) for more detailed field definitions and methodologies. Our Places Summary Statistics(3) is updated with every monthly release to reflect data coverage.

Data Dictionary
Our documentation site includes detailed information for all of our products, but this product listing specifically only includes the Core Places data set and does not include Geometry or Patterns data.
(1) Core Places Schema: https://docs.safegraph.com/docs#section-core-places
(2) Places Data Manual: https://docs.safegraph.com/docs/places-manual
(3) Places Summary Statistics: https://docs.safegraph.com/docs/places-summary-statistics

Example Use Cases:
-Find trade/catchment areas for POI.
-See how far people tend to travel to a given location.
-Understand the demographics of visitors.
-Example: Target v Walmart customer demographics notebook
-Find busy POI in an area
-Example: Sysco and U.S. Foods finding new sales targets
-Understand how long people dwell at certain types of POI
-See what time of day POI are busy
-Examples: Crowdfree.me, Jefferies McDonald’s Breakfast sandwich analysis
-See which day of the week POI are busy
-Example: crowdfree.me

About the Provider:

SafeGraph is a data company that seeks to unlock understanding of the physical world and power innovation through open access to geospatial data. SafeGraph has built the source of truth for physical places, covering business listing information, building footprints, and foot-traffic insights for more than 6 million Points-of-Interest (POI) in the US, Canada, and the UK.

Visit the provider’s website for more information

 

Get access to the SafeGraph: Foot Traffic Patterns – Starbucks Dataset in Snowflake

Sign up for a free trial

Already a Snowflake customer?
Access this dataset directly from your Snowflake account