pass_by Restaurant Traffic Data | USA | 2k+ Restaurant Brands product image in hero

pass_by Restaurant Traffic Data | USA | 2k+ Restaurant Brands

pass_by
No reviews yetBadge iconVerified Data Provider
STOCK_EXCHANGE
STOCK_SYMBOL
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
Volume
278K
Restaurant Points of Interest
Data Quality
86%
daily correlation to actual traffic
Avail. Formats
.json and .csv
File
Coverage
1
Country
History
6
years

Data Dictionary

[Sample] D9fb0afa 3d5c 4328 8d8c 1555353ab821
Attribute Type Example Mapping
String 46778f48-8891-4a1a-a138-a00efda233f6 POI ID
String 100 Montaditos POI Name
String 100 Montaditos Brand Name
String FL State Abbreviation
Integer 722513 Company NAICS Name
String Restaurants and Other Eating Places POI Category
String Limited-Service Restaurants POI Sub-category
STOCK_EXCHANGE
String
STOCK_SYMBOL
String
LOCAL_DATE
DateTime 2025-06-01T00:00:00+00:00
DAILY_VISITS
Float 2009.0
VERSION_ID
Float 9.0

Description

Unlock daily aggregated visit counts to over 2,000 Restaurant Chains 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.
This product provides daily, aggregated visit counts to over 2,000 Restaurant Chains across the U.S, with historical coverage commencing on January 1, 2019. In addition to extensive historical data, it uniquely features visit forecasts for the upcoming 90 days. These forecasts are updated monthly using proprietary modeling techniques to ensure accuracy and relevance. Leveraging the unique nature of the underlying data, this product is capable of accurately measuring individual stores even within challenging multi-level and densely built-up urban environments, a common limitation for many other data providers. Each POI is meticulously mapped to a standardized two-level retail category hierarchy, facilitating structured and comparative analysis across diverse retail formats and sectors. The data is fully aggregated and anonymized, with no device-level records included, ensuring privacy and compliance. Delivered as a daily feed, it supports a wide array of critical business use cases, including precise trend analysis, accurate demand forecasting, competitive benchmarking, and continuous location performance monitoring.

Country Coverage

North America (1)
United States of America

History

6 years of historical data

Volume

278,000 Restaurant Points of Interest
2,030 Restaurant Brands
5 Sub-categories

Pricing

License Starts at
One-off purchase Not available
Monthly License Available
Yearly License Available
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
86%
daily correlation to actual traffic
80%
weekly correlation to actual traffic
88%
monthly correlation to actual traffic

Delivery

Methods
S3 Bucket
SFTP
Email
UI Export
REST API
Snowflake Share
Google BigQuery
Google Cloud Storage
Azure Blob Storage
Databricks Delta Share
Frequency
daily
Format
.json
.csv

Use Cases

Foot Traffic Attribution
Foot Traffic Analytics
Foot Traffic Measurement
Store Visit Attribution
Foot Traffic Analysis

Categories

Related Searches

Related Products

Frequently asked questions

What is pass_by Restaurant Traffic Data USA 2k+ Restaurant Brands?

Unlock daily aggregated visit counts to over 2,000 Restaurant Chains 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 Restaurant Traffic Data USA 2k+ Restaurant Brands 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 Foot Traffic Data from pass_by to fuel their analytics and enrichment.

Who can use pass_by Restaurant Traffic Data USA 2k+ Restaurant Brands?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Foot Traffic 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 Restaurant Traffic Data USA 2k+ Restaurant Brands go?

This product has 6 years of historical coverage. It can be delivered on a daily basis.

Which countries does pass_by Restaurant Traffic Data USA 2k+ Restaurant Brands cover?

This product includes data covering 1 country like USA. pass_by is headquartered in United Kingdom.

How much does pass_by Restaurant Traffic Data USA 2k+ Restaurant Brands cost?

Pricing information for pass_by Restaurant Traffic Data USA 2k+ Restaurant Brands 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 Restaurant Traffic Data USA 2k+ Restaurant Brands?

Businesses can buy Foot Traffic 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 Restaurant Traffic Data USA 2k+ Restaurant Brands?

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 Restaurant Traffic Data USA 2k+ Restaurant Brands?

This product has 3 related products. These alternatives include pass_by Restaurant Location Data USA 2k+ Restaurant Brands, Customer Journey Europe Aggregated Foot Traffic Data GDPR-Compliant, and PREDIK Data-Driven I UK Aggregated Foot Traffic Data & Mobility Data I Measure Foot Traffic patterns within the United Kingdom. You can compare the best Foot Traffic Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request
License Starts at
One-off purchase Not available
Monthly License Available
Yearly License Available
Usage-based Not available