
pass_by Store Location Data | USA | 93% retail coverage
STOCK_EXCHANGE
|
LOCAL_DATE
|
DAILY_VISITS
|
VERSION_ID
|
||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx |
xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx |
xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx |
xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx |
xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Text | cf886d2a-70e2-4dc5-b111-c433eb4cb029 | POI ID | |
String | Nike Factory Store | Brand Name | |
String | Nike | Brand Name | |
String | TX | State Abbreviation | |
Integer | 448210 | Company NAICS Code | |
String | Shoe Stores | POI Category | |
String | Shoe Stores | POI Sub-category | |
STOCK_EXCHANGE
|
String | NYSE | |
String | NKE | Stock Ticker | |
LOCAL_DATE
|
DateTime | 2024-06-01T00:00:00+00:00 | |
DAILY_VISITS
|
Integer | 4005 | |
VERSION_ID
|
String | 9.0 |
Description
Country Coverage
History
Volume
1.31 million | Points of Interest |
7,080 | Brands |
687 | Tickers |
292 | Retail Categories |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products

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Frequently asked questions
What is pass_by Store Location Data USA 93% retail coverage?
Unlock daily aggregated visit counts to 93% of branded retail Points of Interest across the U.S. This comprehensive dataset, extending back to January 1st, 2019, uniquely includes 90-day predictive traffic forecasts, offering the market’s only forward-looking foot traffic insights.
What is pass_by Store Location Data USA 93% retail coverage used for?
This product has 5 key use cases. pass_by recommends using the data for Foot Traffic Attribution, Foot Traffic Analytics, Foot Traffic Measurement, Store Visit Attribution, and Foot Traffic Analysis. Global businesses and organizations buy Store Location Data from pass_by to fuel their analytics and enrichment.
Who can use pass_by Store Location Data USA 93% retail coverage?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Store Location Data. Get in touch with pass_by to see what their data can do for your business and find out which integrations they provide.
How far back does the data in pass_by Store Location Data USA 93% retail coverage go?
This product has 6 years of historical coverage. It can be delivered on a daily basis.
Which countries does pass_by Store Location Data USA 93% retail coverage cover?
This product includes data covering 1 country like USA. pass_by is headquartered in United Kingdom.
How much does pass_by Store Location Data USA 93% retail coverage cost?
Pricing information for pass_by Store Location Data USA 93% retail coverage is available by getting in contact with pass_by. Connect with pass_by to get a quote and arrange custom pricing models based on your data requirements.
How can I get pass_by Store Location Data USA 93% retail coverage?
Businesses can buy Store Location Data from pass_by and get the data via S3 Bucket, SFTP, Email, UI Export, REST API, Snowflake Share, Google BigQuery, Google Cloud Storage, Azure Blob Storage, and Databricks Delta Share. Depending on your data requirements and subscription budget, pass_by can deliver this product in .json and .csv format.
What is the data quality of pass_by Store Location Data USA 93% retail coverage?
pass_by has reported that this product has the following quality and accuracy assurances: 88% monthly correlation to actual traffic, 86% daily correlation to actual traffic, 80% weekly correlation to actual traffic. You can compare and assess the data quality of pass_by using Datarade’s data marketplace.
What are similar products to pass_by Store Location Data USA 93% retail coverage?
This product has 3 related products. These alternatives include pass_by Visit Data USA 93% retail coverage, Intuizi’s De-identified Location Data for USA 200+mm Unique Daily Devices Mobility Data, and Unacast Foot Traffic Data for U.S. Locations. You can compare the best Store Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.