Trade Areas -- analyze where consumers travel from to visit places of interest across the world product image in hero

Trade Areas -- analyze where consumers travel from to visit places of interest across the world

Gravy Analytics by Unacast
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FEATUREID
GEOHASH
DEVICESWITHDECISIONINZIPCODECOUNT
ZIPCODELANDSIZESQKM
POPULATION
FEMALEPOPULATION
MALEPOPULATION
HOUSEHOLDSPERZIPCODE
PERSONSPERHOUSEHOLD
AVERAGEHOUSEVALUE
INCOMEPERHOUSEHOLD
ZIPLATITUDE
ZIPLONGITUDE
CBSA
CBSA_NAME
CBSATYPE
MSA_NAME
PMSA_NAME
CSANAME
CBSA_DIV_NAME
ZIPCODEPOLY
COUNTY
COUNTYFIPS
STATEFIPS
COUNTYGEO
CENSUS_BLOCK_GROUP_ID
CBG_LAND_AREA
CBG_WATER_AREA
DEVICES_WITH_DECISION_IN_CBG_COUNT
TOTAL_POPULATION
TOTAL_POPULATION_FEMALE
TOTAL_POPULATION_MALE
TOTAL_POPULATION_MALE_AGERANGE
TOTAL_POPULATION_FEMALE_AGERANGE
MEDIAN_INCOME
TOTAL_HOUSING_UNITS
CBG_GEOMETRY
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Sign In To Preview Data
Volume
50B
global signals per day
Data Quality
100%
deterministic data
Avail. Format
.csv
File
Coverage
247
Countries
History
3
years

Data Dictionary

[Sample] Location Intelligence Data Dictionary - Trade Areas Sample.csv
Attribute Type Example Mapping
FEATUREID
String string
Float number[float64] Latitude
Float number[float64] Longitude
GEOHASH
String string
String string ZIP Code
DEVICESWITHDECISIONINZIPCODECOUNT
Integer number[int64]
ZIPCODELANDSIZESQKM
Float number[float64]
POPULATION
Integer number[int64]
FEMALEPOPULATION
Integer number[int64]
MALEPOPULATION
String number[int64]
HOUSEHOLDSPERZIPCODE
Integer number[int64]
PERSONSPERHOUSEHOLD
Integer number[int64]
AVERAGEHOUSEVALUE
Integer number[int64]
INCOMEPERHOUSEHOLD
Integer number[int64]
ZIPLATITUDE
Float number[float64]
ZIPLONGITUDE
Float number[float64]
String string City Name
CBSA
Integer number[int64]
CBSA_NAME
String string
CBSATYPE
String string
MSA_NAME
String string
PMSA_NAME
String string
CSANAME
String string
CBSA_DIV_NAME
String string
ZIPCODEPOLY
String GeoJSONPolygon orMultiPolygon
COUNTY
String string
COUNTYFIPS
Integer number[int32]
String string State Name
STATEFIPS
Integer number[int32]
COUNTYGEO
String GeoJSONPolygon orMultiPolygon
CENSUS_BLOCK_GROUP_ID
String string
CBG_LAND_AREA
Float number[float64]
CBG_WATER_AREA
Float number[float64]
DEVICES_WITH_DECISION_IN_CBG_COUNT
Integer number[int64]
TOTAL_POPULATION
Integer number[int64]
TOTAL_POPULATION_FEMALE
Float number[float64]
TOTAL_POPULATION_MALE
Integer number[int64]
TOTAL_POPULATION_MALE_AGERANGE
Integer number[int64]
TOTAL_POPULATION_FEMALE_AGERANGE
Integer number[int64]
MEDIAN_INCOME
Integer number[int64]
TOTAL_HOUSING_UNITS
Integer number[int64]
CBG_GEOMETRY
String GeoJSONPolygon orMultiPolygon
Product Attributes
Attribute Type Example Mapping
Device Count
3,234
Decisions per Device
GRID: "XXXX-XXXX-83883", decisions:[{ "lat": "-43.994", "...
String 18707 ZIP Code

Description

Submit your own geographic coordinates and time range and receive a list of anonymous device identifiers observed at that location in return, along with mobility patterns for each device. Ready-made analytics available on demand, via API. International coverage with up to 3 years of historical data.
Gravy Trade Areas data enables companies to analyze where consumers travel from to visit areas of interest. Companies use Trade Areas for catchment analysis, real estate site selection based on consumer traffic patterns, travel and tourism trend analysis, to inform community and infrastructure planning, to understand human mobility patterns around global natural disasters and emergency situations, to identify relevant geographic markets for targeting and custom acquisition, to help mitigate corporate and supply chain risk, and for operational and staffing strategies. Enter polygonal geofence coordinates (geoJSON format) for locations anywhere in the world, select a time range, and add the Gravy Forensic Flags you’d like to receive a list of anonymous device identifiers observed at that location, along with mobility patterns for each device. Trade Areas data is available on demand via API query. The data can be delivered right away by direct response or exported into an AWS S3.

Geography

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (49)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

3 years of historical data

Volume

50 billion global signals per day
60 million MAUs globally

Pricing

Free sample available
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License Not available
Usage-based
$1 / API call

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
deterministic data

Delivery

Methods
S3 Bucket
REST API
Frequency
on-demand
Format
.csv

Use Cases

Consumer Trend Analysis
Competitive Intelligence
Demand Planning
Catchment Area Analysis
Movement Analytics

Categories

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Frequently asked questions

What is Trade Areas – analyze where consumers travel from to visit places of interest across the world?

Submit your own geographic coordinates and time range and receive a list of anonymous device identifiers observed at that location in return, along with mobility patterns for each device. Ready-made analytics available on demand, via API. International coverage with up to 3 years of historical data.

What is Trade Areas – analyze where consumers travel from to visit places of interest across the world used for?

This product has 5 key use cases. Gravy Analytics by Unacast recommends using the data for Consumer Trend Analysis, Competitive Intelligence, Demand Planning, Catchment Area Analysis, and Movement Analytics. Global businesses and organizations buy Location Data from Gravy Analytics by Unacast to fuel their analytics and enrichment.

Who can use Trade Areas – analyze where consumers travel from to visit places of interest across the world?

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

How far back does the data in Trade Areas – analyze where consumers travel from to visit places of interest across the world go?

This Tabular Data has 3 years of historical coverage. It can be delivered on a on-demand basis.

Which countries does Trade Areas – analyze where consumers travel from to visit places of interest across the world cover?

This product includes data covering 247 countries like USA, Japan, Germany, India, and United Kingdom. Gravy Analytics by Unacast is headquartered in United States of America.

How much does Trade Areas – analyze where consumers travel from to visit places of interest across the world cost?

Pricing for Trade Areas – analyze where consumers travel from to visit places of interest across the world starts at USD1 per API call. Connect with Gravy Analytics by Unacast to get a quote and arrange custom pricing models based on your data requirements.

How can I get Trade Areas – analyze where consumers travel from to visit places of interest across the world?

Businesses can buy Location Data from Gravy Analytics by Unacast and get the data via S3 Bucket and REST API. Depending on your data requirements and subscription budget, Gravy Analytics by Unacast can deliver this product in .csv format.

What is the data quality of Trade Areas – analyze where consumers travel from to visit places of interest across the world?

Gravy Analytics by Unacast has reported that this product has the following quality and accuracy assurances: 100% deterministic data. You can compare and assess the data quality of Gravy Analytics by Unacast using Datarade’s data marketplace. Gravy Analytics by Unacast has received 1 review from clients. Gravy Analytics by Unacast appears on selected Datarade top lists ranking the best data providers, including Top 10 Travel Intent Data Providers and Platforms and Best Data Providers For Location-Based Marketing.

What are similar products to Trade Areas – analyze where consumers travel from to visit places of interest across the world?

This Tabular Data has 3 related products. These alternatives include Area Visitors – analyze global foot traffic trends for geographic areas via API or batch data delivery, Factori Raw mobile location data -Available Worldwide( 1 year history), and Irys Location Data Solutions Worldwide Global Real-Time & Historical Mobile Data & Connected Device Location Data. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at
$1 / API call
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License Not available
Usage-based
$1 / API call

Gravy Analytics by Unacast

Enterprise location intelligence

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5h Avg. response time
100% Response rate

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