Echo Analytics | Customer Journey | US | Footfall Data | GDPR-Compliant

#	echo_poi_id	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	before_event_percent_sharedvisitors	after_event_percent_sharedvisitors
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
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5	Xxxxxxxxxx	Xxxxxx	Xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxx	Xxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxx	Xxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	Xxxxxx	xxxxxx	xxxxxxxx	xxxxxxx	Xxxxx
6	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	xxxxx	Xxxxx	xxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxxxx	Xxxxxxx
7	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	xxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxx	Xxxxx
8	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	Xxxxxxxx	xxxxxx	xxxxxxxx	xxxxxx
9	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
10	Xxxxxxx	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	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

Volume

400

Million Average Monthly Users

Avail. Formats

.xml, .csv, and .xls

File

Coverage

Countries

History

years

[Sample] Activity_ Customer Journey - US - NEW YORK .csv

Attribute	Type	Example	Mapping
echo_poi_id	String	2222-2222@627-rwm-7dv	POI ID
poi_name	String	Golden Mango Supermarkets	POI Name
brand	String	Coca Cola	Brand Name
tier1_category	String	retail	POI Category
tier2_category	String	grocery store	POI Sub-category
tier1_naics_code	Integer	44-45	POI Category
tier1_naics_category	String	Retail Trade	POI Category
tier2_naics_code	Integer	445	POI Sub-category
tier2_naics_category	String	Food and Beverage Retailers	POI Sub-category
tier3_naics_code	Integer	4451	POI Sub-category
tier3_naics_category	String	Grocery and Convenience Retailers	POI Sub-category
tier4_naics_code	Integer	44511	POI Sub-category
tier4_naics_category	String	Supermarkets and Other Grocery Retailers (except Convenie...	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_address	String	2300, Randall Avenue
zip_code	String	10473	ZIP Code
admin_boundary_3	String	New York	City Name
admin_boundary_2	String	Castle Hill, The Bronx	County Name
admin_boundary_1	String	New York	State Name
country_code	String	US	Country Code Alpha-2
latitude	Float	40.819	Latitude
longitude	Float	-73.84462	Longitude
geo_h3_id_level_10	String	8a2a1001808ffff
parent_organization	String
stock_ticker	String	AAPL	Stock Ticker
opening_hours	String	{"Thursday": [{"from": "07:00 AM", "to": "09:45 PM"}], "F...	POI Opening Hours
phone_number	String	(###) ###-####	Phone Number
website	String	http://www.keyfood.com/pd/stores/NY/Bronx/Golden-Mango-18...	Website
date_range_start	Date	6/26/2023
date_range_end	Date	7/2/2023
footfall_around_poi	Integer	13801
unique_visitors	Integer	669
visits	Integer	839
avg_visits_per_visitors	Float	1.26
before_event_percent_sharedvisitors	Float	"MCDONALD'S":1.8%,"TACO BELL":0.9%,"WHOLE FOODS MARKET":0...
after_event_percent_sharedvisitors	Float	"KRISPY KREME":1.8%,"DOMINO'S":1.4%,"LE PAIN QUOTIDIEN":0...

Product Attributes

Attribute	Type	Example	Mapping
echo_poi_id	String	2223-222c@627-wgz-5mk	POI ID
poi_name	String	Subway	POI Name
brand	String	SUBWAY	Brand Name
tier1_category	String	food and dining	POI Category
tier2_category	String	casual dining	POI Sub-category
tier1_naics_code	Integer	72	POI Category
tier1_naics_category	String	Accommodation and Food Services	POI Category
tier2_naics_code	Integer	722	POI Sub-category
tier2_naics_category	String	Food Services and Drinking Places	POI Sub-category
tier3_naics_code	Integer	7225	POI Sub-category
tier3_naics_category	String	Restaurants and Other Eating Places	POI Sub-category
tier4_naics_code	Integer	72251	POI Sub-category
tier4_naics_category	String	Restaurants and Other Eating Places	POI Sub-category
tier5_naics_code	Integer	722513	POI Sub-category
tier5_naics_category	String	Limited-Service Restaurants	POI Sub-category
business_status	String	OPERATIONAL
full_address	String	####, ## **, * **, ****, * ***, #####, ...	Address
street_address	String	7521, 13th Avenue
zip_code	String	11228	ZIP Code
admin_boundary_3	String	New York	City Name
admin_boundary_2	String	Brooklyn	County Name
admin_boundary_1	String	New York	State Name
country_code	String	US	Country Code Alpha-2
latitude	Float	40.61974	Latitude
longitude	Float	-74.00776	Longitude
geo_h3_id_level_10	String	8a2a10773247fff
parent_organization	String
stock_ticker	String	AAPL	Stock Ticker
opening_hours	String	Mo-Sa 09:00-22:00; Su 10:00-21:00	POI Opening Hours
phone_number	String	+# ###-###-####	Phone Number
website	String	https://restaurants.subway.com/united-states/ny/brooklyn/...	Website
date_range_start	Date	6/26/2023
date_range_end	Date	7/2/2023
footfall_around_poi	Integer	24805
unique_visitors	Integer	1057
visits	Integer	1804
avg_visits_per_visitors	Float	1.71
before_event_percent_sharedvisitors	Float	"LA BELLA MARKETPLACE":1.3%,"7-ELEVEN":0.8%,"BP EXPRESS S...
after_event_percent_sharedvisitors	Float	"LA BELLA MARKETPLACE":1.3%,"BP EXPRESS SHOP":0.5%,"7-ELE...

We provide unmatched data curation, with a detailed view of location activity over time. Our solution analyzes consumer visits before and after your POI, determining your store's reach. Gain a 360-degree view without PII data for optimal site selection, lease negotiations, and market intelligence.

At Echo, our dedication to data curation is unmatched; we focus on providing our clients with an in-depth picture of a physical location based on activity in and around the point of interest (POI) over time. Our dataset empowers you to explore the cross-shopping patterns of your visitors by allowing you to dig deeper into consumer profiles, eliminate gaps in your trade area, and discover untapped sites of action. This sample of our Customer Journey solution helps you determine the geographical reach of your store or facility based on the brands or categories most visited by consumers before and after they visit your specific POI. This empowers your location strategy. This particular dataset is for the US. Additional Information: - Understand the actual movement patterns of consumers without using PII data, gaining a 360-degree consumer view. Complement your online behavior knowledge with actual offline actions, and better attribute intent based on real-world behaviors. - Echo collects, cleans and updates its footfall on a daily basis. Normalization of the data occurs on a monthly basis. - We provide data aggregation on a weekly, monthly and quarterly basis. - Information about our dataset with regard to our country offering and data schema can be found here: 1) Data Schema: https://docs.echo-analytics.com/activity/data-schema 2) Country Availability: https://docs.echo-analytics.com/activity/country-coverage 3) Methodology: https://docs.echo-analytics.com/activity/methodology Echo's commitment to customer service is evident in our exceptional data quality and dedicated team, providing 360° support throughout your location intelligence journey. We handle the complex tasks to deliver analysis-ready datasets to you. Business Needs: Site Selection and Lease Renegotiation: Leverage foot traffic data for optimal site selection and advantageous lease renegotiations. This approach enables you to pinpoint ideal store locations and secure lease terms that align with business objectives, optimizing operational efficiency and cost-effectiveness. Market Intelligence: Outsmart your competition by understanding competitor foot traffic trends, allowing you to identify growth opportunities and gain a competitive advantage. Analyze regional consumer behaviors and preferences to pinpoint new markets and assess the competitive landscape for strategic expansion.

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

Footfall Analytics Foot Traffic Analytics Retail Site Selection Store Visit Attribution

Customer Data Intelligence

Foot Traffic Data Point of Interest (POI) Data Mobility Data Visit Data Aggregated Foot Traffic Data

400 Million Average Monthly Users

7 countries covered

2 years of historical data

We provide unmatched data curation, with a detailed view of location activity over time. Our solution analyzes consumer visits before and after your POI, det...

400 m unique mobile identifiers

6 countries covered

12 months of historical data

Geospatial Mobility Data - understand footfall into all/any PoIs; Cloud delivery &/or platform visualisation. Data includes - Category; Brand; Location/...

24.7M rows

95% quality

USA covered

Our Aggregated Aggregated Foot Data & Visit Data brings you valuable insights into US South Eastern visiting foot traffic and vehicles patterns, trade area i...

6 years of historical data

85% 0.85 corr. with Walmart sales data

249 countries covered

• World's largest commercial source of mobile location data • 1bn+ pings per month • H3 Hex12 (19m) resolution • Daily statistics • Valued by 600+ customers ...

What is Echo Analytics Customer Journey US Footfall Data GDPR-Compliant?

We provide unmatched data curation, with a detailed view of location activity over time. Our solution analyzes consumer visits before and after your POI, determining your store’s reach. Gain a 360-degree view without PII data for optimal site selection, lease negotiations, and market intelligence.

What is Echo Analytics Customer Journey US Footfall Data GDPR-Compliant used for?

This product has 5 key use cases. Echo Analytics recommends using the data for Footfall Analytics, Foot Traffic Analytics, Retail Site Selection, Store Visit Attribution, and Customer Data Intelligence. Global businesses and organizations buy Foot Traffic Data from Echo Analytics to fuel their analytics and enrichment.

Who can use Echo Analytics Customer Journey US Footfall Data GDPR-Compliant?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Foot Traffic 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 Echo Analytics Customer Journey US Footfall 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 Echo Analytics Customer Journey US Footfall 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 Echo Analytics Customer Journey US Footfall Data GDPR-Compliant cost?

Pricing information for Echo Analytics Customer Journey US Footfall 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 Echo Analytics Customer Journey US Footfall Data GDPR-Compliant?

Businesses can buy Foot Traffic 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 .xml, .csv, and .xls format.

What is the data quality of Echo Analytics Customer Journey US Footfall 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 Echo Analytics Customer Journey US Footfall Data GDPR-Compliant?

This product has 3 related products. These alternatives include Echo Analytics Customer Journey Europe Aggregated Foot Traffic Data GDPR-Compliant, Intuizi Visitation Dataset Aggregated PoI Footfall Geospatial Data 6 Countries Cloud delivery or Visualized via our platform 400m Uniques, and PREDIK Data-Driven I US Aggregated Foot Traffic Data & Visit Data I Analyze the US South Eastern Area. 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	Available
Monthly License	Available
Yearly License	Available
Usage-based	Not available

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Echo Analytics | Customer Journey | US | Footfall 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.

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Echo Analytics | Customer Journey | US | Footfall 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.