Catchment Area | US | Foot Traffic Data | GDPR-Compliant

#	echo_poi_id_v2	poi_name	brand	tier1_category	tier2_category	tier1_naics_code	tier1_naics_category	tier2_naics_code	tier2_naics_category	tier3_naics_code	tier3_naics_category	tier4_naics_code	tier4_naics_category	tier5_naics_code	tier5_naics_category	business_status	full_address	street_address	zip_code	admin_boundary_3	admin_boundary_2	admin_boundary_1	country_code	latitude	longitude	geo_h3_id_level_10	parent_organization	stock_ticker	opening_hours	phone_number	website	date_range_start	date_range_end	footfall_around_poi	unique_visitors	visits	avg_visits_per_visitors	home_hex_id	home_percent	home_market_share_index	work_hex_id	work_percent	work_market_share_index	catchment_area_polygon
1	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
2	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
3	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	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxx	xxxxx	Xxxxxxx
4	xxxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	Xxxxx	Xxxxxx	Xxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxx	Xxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxx	Xxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxxx	xxxxxxx
5	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	Xxxxxx	xxxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxxx	xxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx
6	xxxxx	Xxxxx	xxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	Xxxxx	Xxxxx	Xxxxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx
7	xxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxx	Xxxxxxx	xxxxxxxx	xxxxx	Xxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxxxx	xxxxxxx	Xxxxxxxxxx	xxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxx
8	Xxxxxxxx	xxxxxx	xxxxxxxx	xxxxxx	Xxxxxxxx	xxxxxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxx	xxxxxxxx	xxxxxxxxxx	xxxxxxxx	Xxxxx	xxxxxxxx	xxxxxxxxxx	xxxxxxxx	Xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxx	xxxxxxxxxx	Xxxxxxx
9	xxxxxxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxx	Xxxxx	Xxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxx	Xxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxx	xxxxxxx	xxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	xxxxxxxxx	xxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxxx
10	xxxxx	xxxxx	Xxxxxxxxx	xxxxx	Xxxxx	Xxxxxx	xxxxxxxxxx	Xxxxxxxx	Xxxxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxx	Xxxxxxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxx	xxxxxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxxxxx	xxxxxx	xxxxxxxxxx	xxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxxxxxxx	xxxxx
...	Xxxxxxxxx	Xxxxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxxxx	xxxxx	xxxxxxxxxx	xxxxxxx	xxxxxxxx	Xxxxx	xxxxx	xxxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxx	xxxxxx	xxxxxx	Xxxxxx	xxxxxx	xxxxx	Xxxxxxxxx	Xxxxxxxxx	Xxxxxx	Xxxxx	Xxxxxxxxx	Xxxxxx	Xxxxxx	xxxxxx	xxxxx	xxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxx	xxxxxxx

Volume

400

Million Average Monthly Users

Avail. Formats

.csv and .xls

File

Coverage

Countries

History

years

[Sample] Activity_ Catchment Area Analysis - US - NEW YORK.csv

Attribute	Type	Example	Mapping
echo_poi_id_v2	String	2222-2226@627-s9y-rc5	POI ID
poi_name	String	JAMAICA CENTER	POI Name
brand	String	H&M	Brand Name
tier1_category	String	retail	POI Category
tier2_category	String	clothing store	POI Sub-category
tier1_naics_code	Integer	44-45	POI Category
tier1_naics_category	String	Retail Trade	POI Category
tier2_naics_code	Integer	458	POI Sub-category
tier2_naics_category	String	Clothing, Clothing Accessories, Shoe, and Jewelry Retailers	POI Sub-category
tier3_naics_code	Integer	4581	POI Sub-category
tier3_naics_category	String	Clothing and Clothing Accessories Retailers	POI Sub-category
tier4_naics_code	Integer	None	POI Sub-category
tier4_naics_category	String	None	POI Sub-category
tier5_naics_code	String	None	POI Sub-category
tier5_naics_category	String	None	POI Sub-category
business_status	String	OPERATIONAL
full_address	String	***** ****	Address
street_address	String	None
zip_code	Integer	11433	Postal Code
admin_boundary_3	String	New York	City Name
admin_boundary_2	String	Hillside, Queens	County Name
admin_boundary_1	String	New York	State Name
country_code	String	US	Country Code Alpha-2
latitude	Float	40.70267	Latitude
longitude	Float	-73.78896	Longitude
geo_h3_id_level_10	String	8a2a100ed6d7fff
parent_organization	String	H & M HENNES & MAURITZ AB
stock_ticker	String	STO: HM-B	Stock Ticker
opening_hours	String	Su 11:00-20:00 open, Mo-Sa 09:00-21:00 open	POI Opening Hours
phone_number	String	****	Phone Number
website	String	https://www2.hm.com/en_us/customer-service/shopping-at-hm...	Website
date_range_start	Date	2023-07-01
date_range_end	Date	2023-09-28
footfall_around_poi	Integer	200041
unique_visitors	Integer	1030
visits	Integer	4508
avg_visits_per_visitors	Float	4.38
home_hex_id	String	882a100ed7fffff
home_percent	Float	27.93
home_market_share_index	Float	1
work_hex_id	String	882a100ed7fffff
work_percent	Float	19.95
work_market_share_index	Float	1
catchment_area_polygon	String	POLYGON((-73.8022871963881 40.7062870350538, -73.79987245...

Product Attributes

Attribute	Type	Example	Mapping
echo_poi_id	String	2222-223y@627-s8j-hh5	POI ID
poi_name	String	ZARA	POI Name
brand	String	ZARA	Brand Name
tier1_category	String	retail	POI Category
tier2_category	String	clothing store	POI Sub-category
tier1_naics_code	Integer	44-45	POI Category
tier1_naics_category	String	Retail Trade	POI Category
tier2_naics_code	Integer	458	POI Sub-category
tier2_naics_category	String	Clothing, Clothing Accessories, Shoe, and Jewelry Retailers	POI Sub-category
tier3_naics_code	Integer	4581	POI Sub-category
tier3_naics_category	String	Clothing and Clothing Accessories Retailers	POI Sub-category
tier4_naics_code	Integer		POI Sub-category
tier4_naics_category	String		POI Sub-category
tier5_naics_code	Integer		POI Sub-category
tier5_naics_category	String		POI Sub-category
business_status	String	OPERATIONAL
full_address	String	### *** ****	Address
street_number	String
zip_code	String	10003	Postal Code
admin_boundary_3	String	New York	City Name
admin_boundary_2	String	Manhattan Community Board 5, Manhattan, New York County	County Name
admin_boundary_1	String	New York	State Name
country_code	String	US	Country Code Alpha-2
latitude	Float	40.73804	Latitude
longitude	Float	-73.99202	Longitude
geo_h3_id_level_10	String	8a2a100d2777fff
parent_organization	String	INDITEX
stock_ticker	String	BME: ITX	Stock Ticker
opening_hours	String		POI Opening Hours
phone_number	String	*****: ##########	Phone Number
website	String	https://www.zara.com/us/en/stores-locator/search?lat=40.8...	Website
date_range_start	Date	2023-07-01
date_range_end MARKET SHARE	Date	2023-09-28
footfall_around_poi	Integer	777209
unique_visitors	Integer	17693
visits	Integer	35094
avg_visits_per_visitors	Float	1.98
home_hex_id	String	882a100d27fffff
home_percent	Float	4.96
home_market_share_index	Float	1
work_hex_id	String	882a100d27fffff
work_percent	Float	10.58
work_market_share_index	Float	1
catchment_area_polygon	String	POLYGON((-74.0106139248654 40.7298623756064, -74.00620031...

Unlock insights with Echo's Catchment Area. Reveal consumer profiles and movement patterns around POIs, enhance site selection, competitor analysis, and customer segmentation with non-PII, GDPR-compliant data. High-quality datasets span industries and countries. Updated daily and normalized monthly.

Echo’s Catchment Area dataset reveals where your customers live and work, helping you define store trade areas and uncover hidden market potential. Built from non-PII, real-world mobility data, this U.S.-focused dataset maps consumer origins around a POI, enabling smarter decisions in expansion, competition analysis, and localized marketing. Key data points include: - Customer home/work location aggregation - POI-based catchment area boundaries - Competitor and market overlap visibility - Quarterly updates, normalized & clean - GDPR-compliant, non-PII dataset Ideal for retailers, consultants, and CRE professionals optimizing store networks and market strategies.

North America (3)

Canada

Mexico

United States of America

South America (1)

Brazil

2 years of historical data

400	Million Average Monthly Users
62	Events/Day/User

Free sample available

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

Request detailed pricing

Methods

Frequency

Format

Audience Targeting Retail Site Selection Catchment Area Analysis

Customer Data Intelligence

Data Driven Marketing

Consumer Behavior Data Foot Traffic Data Point of Interest (POI) Data Audience Targeting Data Aggregated Foot Traffic Data

traffic data united states of america

400 Million Average Monthly Users

7 countries covered

2 years of historical data

Unlock insights with Echo's Catchment Area. Reveal consumer profiles and movement patterns around POIs, enhance site selection, competitor analysis, and cust...

320 Billion Pieces of Online Content Analyzed Each Day

95% match rate

249 countries covered

Explore up-to-date Geospatial Data across 180+ countries and 800+ brands and business categories. Connect with our experts to enhance your strategy with prec...

420M MAU

90% horizontal accuracy

249 countries covered

We provide Location Intelligence Data/POI with identity data, which helps power geographical information system (GIS) tools and provides data-driven insights...

40M POIs

3 countries covered

20 years of historical data

dataplor’s North America Mobility Data offers the most reliable, privacy-compliant insights into how populations move, congregate, and interact with location...

What is Catchment Area US Foot Traffic Data GDPR-Compliant?

Unlock insights with Echo’s Catchment Area. Reveal consumer profiles and movement patterns around POIs, enhance site selection, competitor analysis, and customer segmentation with non-PII, GDPR-compliant data. High-quality datasets span industries and countries. Updated daily and normalized monthly.

What is Catchment Area US Foot Traffic Data GDPR-Compliant used for?

This product has 5 key use cases. Echo Analytics recommends using the data for Audience Targeting, Retail Site Selection, Catchment Area Analysis, Customer Data Intelligence, and Data Driven Marketing. Global businesses and organizations buy Consumer Behavior Data from Echo Analytics to fuel their analytics and enrichment.

Who can use Catchment Area US Foot Traffic Data GDPR-Compliant?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Consumer Behavior Data. Get in touch with Echo Analytics to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Catchment Area US Foot Traffic Data GDPR-Compliant go?

This product has 2 years of historical coverage. It can be delivered on a monthly, quarterly, yearly, and on-demand basis.

Which countries does Catchment Area US Foot Traffic Data GDPR-Compliant cover?

This product includes data covering 4 countries like USA, Brazil, Canada, and Mexico. Echo Analytics is headquartered in France.

How much does Catchment Area US Foot Traffic Data GDPR-Compliant cost?

Pricing information for Catchment Area US Foot Traffic Data GDPR-Compliant is available by getting in contact with Echo Analytics. Connect with Echo Analytics to get a quote and arrange custom pricing models based on your data requirements.

How can I get Catchment Area US Foot Traffic Data GDPR-Compliant?

Businesses can buy Consumer Behavior Data from Echo Analytics and get the data via S3 Bucket, SFTP, and Email. Depending on your data requirements and subscription budget, Echo Analytics can deliver this product in .csv and .xls format.

What is the data quality of Catchment Area US Foot Traffic Data GDPR-Compliant?

You can compare and assess the data quality of Echo Analytics using Datarade’s data marketplace. Echo Analytics has received 3 reviews from clients. Echo Analytics appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? August Edition.

What are similar products to Catchment Area US Foot Traffic Data GDPR-Compliant?

This product has 3 related products. These alternatives include Catchment Area Europe Foot Traffic Data GDPR-Compliant, The Data Appeal Geospatial Data 251 Million POIs Mapped GDPR-compliant 5 Years of Historic Data, and Factori Location Intelligence with Profile POI + People Data . You can compare the best Consumer Behavior 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	Available
Monthly License	Available
Yearly License	Available
Usage-based	Not available

Verified Provider

100% Response rate

Report this product

Let data providers come to you!

Catchment Area | US | Foot Traffic Data | GDPR-Compliant

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Echo Analytics
Fuel your data-driven strategy with the most accurate Geospatial Data worldwide.

Trusted by

Let data providers come to you!

Catchment Area | US | Foot Traffic Data | GDPR-Compliant

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Echo Analytics Fuel your data-driven strategy with the most accurate Geospatial Data worldwide.

Trusted by

Echo Analytics
Fuel your data-driven strategy with the most accurate Geospatial Data worldwide.