Echo Analytics | Building Footprints data | 14.4M+ locations in the U.S

#	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	echo_building_id	building_type	building_name	shape_type	shape_polygon	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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3	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
4	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx
5	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	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxxxx
6	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	xxxxx	Xxxxx
7	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
8	Xxxxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	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
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
10	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxx	xxxxxxxx	xxxxxxxxxx	xxxxxxxx	Xxxxx	xxxxxxxx	xxxxxxxxxx	xxxxxxxx	Xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxx	xxxxxxxxxx	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

Avail. Formats

.csv and .xls

File

Coverage

Country

[Sample] sample_shapes.csv

Attribute	Type	Example
echo_poi_id	String	3eba439b-9419-4883-a4d0-058863381ebe-7b7d6c2f-8ac8-42d5-8...
poi_name	String	Chevron
brand	String	CHEVRON
tier1_category	String	transportation
tier2_category	String	petrol station
tier1_naics_code	Integer	21
tier1_naics_category	String	Mining, Quarrying, and Oil and Gas Extraction
tier2_naics_code	String	-
tier2_naics_category	String	-
tier3_naics_code	String	-
tier3_naics_category	String	-
tier4_naics_code	String	-
tier4_naics_category	String	-
tier5_naics_code	String	-
tier5_naics_category	String	-
business_status	String	active
full_address	String	7955 Laurel Canyon Blvd, North Hollywood, CA 91605
street_address	String	NA
zip_code	Integer	91352
admin_boundary_3	String	Los Angeles
admin_boundary_2	String	Sun Valley, Los Angeles County
admin_boundary_1	String	California
country_code	String	US
latitude	String	34,21545
longitude	String	-118,39692
geo_h3_id_level_10	String	8a29a189e807fff
parent_organization	String	CHEVRON CORPORATION
stock_ticker	String	NYSE: CVX
opening_hours	String	{"Monday": [{"from": "05:00 AM", "to": "10:45 PM"}], "Tue...
phone_number	String	(###) ###-####
website	String	https://www.chevron.com/
echo_building_id	String	NA
building_type	String	NA
building_name	String	NA
shape_type	String	polygon
shape_polygon	String	POLYGON((-118.3969521 34.2153868, -118.3968897 34.2153867...
area_sq_meters	Integer	79

Product Attributes

Attribute	Type	Example
POI Data
echo_building_id	String	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

Building Footprint data is based on ‘polygon geofences’ that define the boundaries of buildings. It includes very detailed insights into the Building Type, Name, Shape, and more. By combining it with POI and Mobility data, it allows for a more accurate representation of an area.

Echo’s Building Footprint datasets have been built to ensure ongoing accuracy & precision. We use satellite imagery, machine learning & human verification, to define the most precise boundaries of any location (stores, landmarks, amenities, offices, etc.) and build polygon-based "geofences" around 14.4M+ Places in the U.S. By doing so, it is possible to identify the precise footprints so companies can benefit from an accurate geospatial analysis of countries, cities, or even local neighbourhoods. With Echo's Building Footprint data it is possible to: - Build location-based strategies fast - Increase accuracy of Foot Traffic data - Pinpoint locations for highly precise Mapping - Improve Site Selection processes Clients using this dataset are commonly from: - Commercial Real Estate & PropTech - Retail - Investment Banking

North America (1)

United States of America

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

Geo-Conquesting

Urban Planning

Property Investment Point of Interest (POI) Mapping Point of Interest (POI) Marketing

Foot Traffic Data Foot Traffic Data Point of Interest (POI) Data Building Footprint Data Aggregated Foot Traffic Data

buildings database

5 countries covered

Building Footprint data is based on ‘polygon geofences’ that define the boundaries of buildings. It includes very detailed insights into the Building Type, N...

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...

320 Billion Pieces of Online Content Analyzed Each Day

80% match rate

249 countries covered

Reach out to the experts for Map Data, Places Data, and Point of Interest (POI) Data! Unlock unparalleled insights with our B2B Marketing Data. Explore Aggre...

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/...

What is Echo Analytics Building Footprints data 14.4M+ locations in the U.S?

What is Echo Analytics Building Footprints data 14.4M+ locations in the U.S used for?

This product has 5 key use cases. Echo Analytics recommends using the data for Geo-Conquesting, Urban Planning, Property Investment, Point of Interest (POI) Mapping, and Point of Interest (POI) Marketing. Global businesses and organizations buy Foot Traffic Data from Echo Analytics to fuel their analytics and enrichment.

Who can use Echo Analytics Building Footprints data 14.4M+ locations in the U.S?

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 Echo Analytics to see what their data can do for your business and find out which integrations they provide.

Which countries does Echo Analytics Building Footprints data 14.4M+ locations in the U.S cover?

This product includes data covering 1 country like USA. Echo Analytics is headquartered in France.

How much does Echo Analytics Building Footprints data 14.4M+ locations in the U.S cost?

Pricing information for Echo Analytics Building Footprints data 14.4M+ locations in the U.S 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 Building Footprints data 14.4M+ locations in the U.S?

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

What is the data quality of Echo Analytics Building Footprints data 14.4M+ locations in the U.S?

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 Building Footprints data 14.4M+ locations in the U.S?

This Tabular Data has 3 related products. These alternatives include Echo Analytics Building Footprints data 11M+ Locations in UK, France, Italy, Germany & Spain, Factori Location Intelligence with Profile POI + People Data , and The Data Appeal Global Map Data API, Dataset 251M POI Data Coverage from 2019 Measure sentiment and Customer Experience. 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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100% Response rate

Echo Analytics | Building Footprints data | 14.4M+ locations in the U.S

Data Dictionary

Description

Geography

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

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Frequently asked questions

Echo Analytics
Fuel your data-driven strategy with the most accurate POI Data in Europe

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Echo Analytics | Building Footprints data | 14.4M+ locations in the U.S

Data Dictionary

Description

Geography

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 POI Data in Europe

Trusted by

Echo Analytics
Fuel your data-driven strategy with the most accurate POI Data in Europe