POI Data on Curated Commercial Locations Worldwide.

Simplify your access to clean, precise, and verified business information on the locations of your choice. Lead proactive changes. Innovate faster.

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Insight-ready POI Data to empower your business.

To put it simply, without geospatial data, businesses run blind. Companies that want to work smart and act fast rely on location intelligence to better understand their environment.

With Echo, you get access to millions of  POIs in the physical world with attributes like names, addresses, categories, and opening hours.

Skip to insights without the hassle:

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.

And, no more juggling providers for multiple countries:
Echo is the one-stop solution for your data needs across geographies.

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How Companies Are Leveraging Places.

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Retail

Marketing & Adtech

FMCG

Data Analytics

What you get with Echo's Places Package.

High Accuracy

Precision

Global Data Coverage

Recency

Plug & Play Delivery

Consistent Service

Places Data Schema.

Name
Definition
Format
echo_poi_id
A POI's unique and consistent Identification code created by Echo Analytics
string
echo_poi_id_v2
An improved version of our echo_poi_id. End of Q3/early Q4 this attribute will be rename as echo_poi_id and will replace the current version 1.
string
poi_name
Specific name of the physical place of interest
string
brand
A label indicating which chain/franchise the entity is operated by if any. At Echo an entity is only considered a brand if it has more than 3 physical locations and has a proprietary website
string
tier1_category
Echo Analytics has its own taxonomy which indicates which industry the POI falls under. Tier 1 indicates the least granular category E.g Retail
string
tier2_category
Echo Analytics has its own taxonomy which indicates which business the POI operates in. Tier 2 indicates the most granular category level E.g. Clothing Stores
string
tier1_naics_code
The code that belongs to the highest level tier of the North American Industry Classification System
integer
tier1_naics_category
The category that belongs to the highest level tier of the North American Industry Classification System
string
tier2_naics_code
The code that belongs to the second highest level tier of the North American Industry Classification System
integer
tier2_naics_category
The category that belongs to the second highest level tier of the North American Industry Classification System
string
tier3_naics_code
The code that belongs to the third highest level tier of the North American Industry Classification System
integer
tier3_naics_category
The category that belongs to the third highest level tier of the North American Industry Classification System
string
tier4_naics_code
The code belongs to the second to last level tier of the North American Industry Classification System
integer
tier4_naics_category
The category that belongs to the second to last level tier of the North American Industry Classification System
string
tier5_naics_code
The code that belongs to the lowest level tier of the North American Industry Classification System
integer
tier5_naics_category
The category that belongs to the lowest level tier of the North American Industry Classification System
string
business_status
This indicates whether the POI is operational temporarily closed or permanently closed
string
full_address
Full address of the POI it contains all available information about the address. (street name street number admin boundaries zip code etc.)
string
street_address
Street number street name
string
zip_code
Zip code
string
admin_boundary_3
City village town
string
admin_boundary_2
Municipality Suburb County
string
admin_boundary_1
State region
string
country_code
The country where the POI is located in a 2-letter ISO code format
string
latitude
The standard latitude in decimal degrees truncated to 5 digits (approx. 1.11 meter accuracy)
float
longitude
The standard longitude in decimal degrees truncated to 5 digits (approx. 1.11 meter accuracy)
float
geo_h3_id_level_10
A unique identifier for each H3 area (H3 = Uber's Hexagonal Hierarchical Spatial Index a grid system with different granularity levels). At Echo we use Level 10 which has an area of approximately 15 meters
string
parent_organization
A legal entity that runs the stated brand/franchise. This is the indicator of the business group that the company is listed under Eg: Esso is owned by the Parent Organization Exxon Mobil Corporation
string
stock_ticker
The stock ticker symbol is a unique series of letters associated with publicly listed parent organisations E.g. McDonald's = MCD
string
opening_hours
Indicates the operating hours of the POI business (if applicable). Operating hours formatting can vary for each POI. E.g. (Mo-Fr 09:00-19:30; Sa 10:00-17:00)
string
phone_number
The phone number of the POI business (if applicable). E.g. +33673647563
string
website
URL of the official website tied to the POI business. Can sometimes be just the domain name of the company itself can be a Facebook page associated to the business or can be a detailed URL of the specific store of that chain
string

Places Data Sample.

echo_poid_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
address_boundary_3
address_boundary_2
address_boundary_1
country_code
latitude
longitude
geo_h3_id_level_10
parent_organization
stock_ticker
opening_hours
phone_number
website
2223-222f@627-wc9-pgk
Target Store - lower-east-side-grand-and-clinton
TARGET
businesses and services
wholesale
44-45
Retail Trade
455
General Merchandise Retailers
4552
Warehouse Clubs Supercenters and Other General Merchandise Retailers
45521
Warehouse Clubs Supercenters and Other General Merchandise Retailers
455219
All Other General Merchandise Retailers
OPERATIONAL
400 Grand Street New York Manhattan Community Board 3 Manhattan New York County New York 10002 United States
400 Grand Street
10002
New York
Manhattan Community Board 3 Manhattan New York County
New York
US
40.7162
-73.98688
8a2a1072dd37fff
TARGET CORPORATION
NYSE: TGT
Mo-Su 08:00-21:00
1 213 588 7106
https://www.target.com/sl/lower-east-side-grand-and-clinton/3284
2225-2222@8fc-fbh-wp9
Target Store -houston-montrose
TARGET
businesses and services
wholesale
44-45
Retail Trade
455
General Merchandise Retailers
4552
Warehouse Clubs Supercenters and Other General Merchandise Retailers
45521
Warehouse Clubs Supercenters and Other General Merchandise Retailers
455219
All Other General Merchandise Retailers
OPERATIONAL
205 Westheimer Road Houston Montrose Harris County Texas 77098 United States
2075 Westheimer Road
77098
Houston
Montrose Harris County
Texas
US
29.74113
-95.40957
8a446ca8e647fff
TARGET CORPORATION
NYSE: TGT
Mo-Fr 07:00-22:00; Sa-Su 08:00-22:00
1 213 588 7106
https://www.target.com/sl/houston-montrose/3375
2226-2223@627-wh4-zpv
Target Store - brooklym-flatbush-and-church
TARGET
businesses and services
wholesale
44-45
Retail Trade
455
General Merchandise Retailers
4552
Warehouse Clubs Supercenters and Other General Merchandise Retailers
45521
Warehouse Clubs Supercenters and Other General Merchandise Retailers
455219
All Other General Merchandise Retailers
OPERATIONAL
2101 Church Avenue New York Brooklyn New York 11226 United States
2101 Church Avenue
11226
New York
Brooklyn
New York
US
40.65047
-73.95958
8a2a10775ba7fff
TARGET CORPORATION
NYSE: TGT
Mo-Fr 07:00-22:00; Sa-Su 08:00-22:00
1 213 588 7106
https://www.target.com/sl/brooklyn-flatbush-and-church/3404
2225-2223@8fc-fj2-6p9
Optima Vitamins
retail
grocery store
44-45
Retail Trade
456
Health and Personal Care Retailers
4561
Health and Personal Care Retailers
45619
Other Health and Personal Care Retailers
456191
Food (Health) Supplement Retailers
OPERATIONAL
9000 Richmond Avenue Houston Harris County Texas 77063 United States
9000 Richmond Avenue
77063
Houston
Harris County
Texas
US
29.72943
-95.52283
8a446caf5c07fff
"{""Friday"": [{""from"": ""09:00 AM"" ""to"": ""05:00 PM""}] ""Monday"": [{""from"": ""09:00 AM"" ""to"": ""05:00 PM""}] ""Saturday"": [] ""Sunday"": [] ""Thursday"": [{""from"": ""09:00 AM"" ""to"": ""05:00 PM""}] ""Tuesday"": [{""from"": ""09:00 AM"" ""to"": ""05:00 PM""}] ""Wednesday"": [{""from"": ""09:00 AM"" ""to"": ""05:00 PM""}]}"
(866) 458-4826
https://optimavitamins.us/
2224-2225@627-s96-35z
Mega Babies
retail
kids store
44-45
Retail Trade
455
General Merchandise Retailers
4552
Warehouse Clubs Supercenters and Other General Merchandise Retailers
45521
Warehouse Clubs Supercenters and Other General Merchandise Retailers
455219
All Other General Merchandise Retailers
OPERATIONAL
210 Wallabout Street New York Brooklyn New York 11206 United States
210 Wallabout Street
11206
New York
Brooklyn
New York
US
40.69987
-73.95448
8a2a100de3affff
"{""Thursday"": [{""from"": ""11:00 AM"" ""to"": ""07:00 PM""}] ""Friday"": [{""from"": ""10:00 AM"" ""to"": ""12:00 PM""}] ""Saturday"": [] ""Sunday"": [{""from"": ""11:30 AM"" ""to"": ""07:30 PM""}] ""Monday"": [{""from"": ""11:00 AM"" ""to"": ""07:00 PM""}] ""Tuesday"": [{""from"": ""11:00 AM"" ""to"": ""07:00 PM""}] ""Wednesday"": [{""from"": ""11:00 AM"" ""to"": ""07:00 PM""}]}"
(718) 437-3400
https://www.megababiesusa.com/

Places Documentation

Are you curious to know more about Places and how our data processes work? Head over to our documentation and explore!
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Places Data Schema

Are you curious to know more about Places and how our data processes work? Head over to our documentation and explore!
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Request a data sample

Curious to know what our data look like? Request a sample and see for yourself!

How companies are benefiting with Echo.

We needed POI data that was as granular as possible, regularly updated, and with detailed categorization, that allowed us to build vertical-level solutions.

Why we switched to Echo:
  • Data Accuracy
  • Data Volume
  • Diversity of data sources
  • Deduplicated Data
The Impact:
  • We have run multiple successful POCs with clients using the data from Echo Analytics for OOH campaigns.
  • 10%+ of all our campaigns have used activation strategies using POI level data since we launched the data last month
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Without the heavy lifting

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