Echo Analytics | Commercial Real Estate Data | Covers 60M+ Commercial Points of Interest (POIs) Worldwide product image in hero

Echo Analytics | Commercial Real Estate Data | Covers 60M+ Commercial Points of Interest (POIs) Worldwide

Echo Analytics
5.0(3)Badge iconVerified Data Provider
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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
geo_h3_id_level_10
echo_building_id
building_type
building_name
shape_type
shape_polygons
area_sq_meters
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
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9 Xxxxxxx Xxxxxxx Xxxxxxx Xxxxxxx xxxxxxx Xxxxxxxxxx xxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxxx xxxxxx xxxxxxxx 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
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Request Data Sample
Avail. Formats
.json, .csv, and .xls
File
Coverage
35
Countries

Data Dictionary

Product Attributes
Attribute Type Example Mapping
String 0f65ed7e-f75c-4c3b-a71e-4bf090f0cfeb-56591e76-192a-4039-b... POI ID
String Costco Pharmacy POI Name
String COSTCO WHOLESALE Brand Name
String healthcare POI Category
String pharmacies POI Sub-category
tier1_naics_code
Integer 44-45
tier1_naics_category
String Retail Trade
tier2_naics_code
Integer 455
tier2_naics_category
String General Merchandise Retailers
tier3_naics_code
Integer 4552
tier3_naics_category
String Warehouse Clubs, Supercenters, and Other General Merchand...
tier4_naics_code
Integer 455211
tier4_naics_category
String Warehouse Clubs, Supercenters, and Other General Merchand...
tier5_naics_code
Integer 455211
tier5_naics_category
String Warehouse Clubs and Supercenters
business_status
String active
full_address
String 2975, Richmond Avenue, Staten Island, New York, 10314, Un...
street_address
String 2975, Richmond Avenue
String 10314 ZIP Code
String New York City Name
String Staten Island County Name
String New York State Name
String US Country Code Alpha-2
Float 40,57228 Latitude
Float -74,16845 Longitude
geo_h3_id_level_10
String 8a2a106018cffff
String COSTCO WHOLESALE CORPORATION Organization Name
String NASDAQ: COST Stock Ticker
String {"Wednesday": [{"from": "10:00 AM", "to": "07:00 PM"}], "... POI Opening Hours
String (###) ###-#### Phone Number
String http://www.costco.com/ Website
echo_building_id
4ecb01d4-305b-42c2-90c7-ca95e213a4f6-89fd85f5-15af-4b43-a...
building_type
String
building_name
String Starbucks
shape_type
String circle
shape_polygons
String POLYGON((-73.9819279031906 40.7650770155098, -73.98197430...
area_sq_meters
String 1249

Description

With a mix of Echo's datasets, identify uncharted potential market areas to select the most profitable locations for your next store and leverage trade area analysis with footfall and foot traffic insights.
Raw, unprocessed data, requires a lot of work from data science teams to be usable. At Echo, we do the heavy lifting, so you don’t have to. Improve predictive analyses, streamline decision-making, and increase consulting efficiency. Drive smarter business outcomes in less time and with fewer resources. Access verified business information & consumer mobility patterns to reliably measure, track, and compare the competitive landscape around any location of interest. Expand your reach: +60M locations worldwide +95% polygon coverage Activity data across +200 countries

Country Coverage

Europe (23)
Austria
Belgium
Denmark
Finland
France
Germany
Hungary
Iceland
Ireland
Italy
Luxembourg
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
Slovakia
Spain
Sweden
Switzerland
Ukraine
United Kingdom
North America (2)
Canada
United States of America
South America (10)
Argentina
Brazil
Chile
Colombia
Ecuador
Paraguay
Peru
Puerto Rico
Uruguay
Venezuela (Bolivarian Republic of)

Pricing

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

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
SFTP
Frequency
monthly
quarterly
Format
.json
.csv
.xls

Use Cases

Location-based Analytics
Digital Out-of-home (DOOH) Advertising
Retail Site Selection Store Visit Attribution Location Insights

Categories

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Frequently asked questions

What is Echo Analytics Commercial Real Estate Data Covers 60M+ Commercial Points of Interest (POIs) Worldwide?

With a mix of Echo’s datasets, identify uncharted potential market areas to select the most profitable locations for your next store and leverage trade area analysis with footfall and foot traffic insights.

What is Echo Analytics Commercial Real Estate Data Covers 60M+ Commercial Points of Interest (POIs) Worldwide used for?

This product has 5 key use cases. Echo Analytics recommends using the data for Location-based Analytics, Digital Out-of-home (DOOH) Advertising, Retail Site Selection, Store Visit Attribution, and Location Insights. Global businesses and organizations buy Point of Interest (POI) Data from Echo Analytics to fuel their analytics and enrichment.

Who can use Echo Analytics Commercial Real Estate Data Covers 60M+ Commercial Points of Interest (POIs) Worldwide?

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

Which countries does Echo Analytics Commercial Real Estate Data Covers 60M+ Commercial Points of Interest (POIs) Worldwide cover?

This product includes data covering 35 countries like USA, Germany, United Kingdom, France, and Brazil. Echo Analytics is headquartered in France.

How much does Echo Analytics Commercial Real Estate Data Covers 60M+ Commercial Points of Interest (POIs) Worldwide cost?

Pricing information for Echo Analytics Commercial Real Estate Data Covers 60M+ Commercial Points of Interest (POIs) Worldwide 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 Commercial Real Estate Data Covers 60M+ Commercial Points of Interest (POIs) Worldwide?

Businesses can buy Point of Interest (POI) Data from Echo Analytics and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, Echo Analytics can deliver this product in .json, .csv, and .xls format.

What is the data quality of Echo Analytics Commercial Real Estate Data Covers 60M+ Commercial Points of Interest (POIs) Worldwide?

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 Commercial Real Estate Data Covers 60M+ Commercial Points of Interest (POIs) Worldwide?

This product has 3 related products. These alternatives include Echo Analytics Customer Journey US Footfall Data GDPR-Compliant, SafeGraph Commercial Real Estate Data Global Real Estate Coverage 52M+ Places, and Sovereign Intelligence Foot Traffic Data Global Access. You can compare the best Point of Interest (POI) 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

Echo Analytics

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

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4h Avg. response time
100% Response rate

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