Aggregated Foot Traffic Data - Global Raw Location Data - 900+ Million Unique Devices - Quadrant product image in hero

Aggregated Foot Traffic Data - Global Raw Location Data - 900+ Million Unique Devices - Quadrant

Quadrant
Start iconNo reviews yetBadge iconVerified Data Provider
#
020B077C1B15137B1EDF71E87B0BD4042CEA946B512BEA470AF51C537CE2824E
aaid
32.78948
-94.66571
12
1.66E+12
74.221.150.0
Android
US
38
4279
9vudtc4s9447
Y
1b86b4c1a5636e89dd62c6b9dd00a979f8ca2f6d063d7063d2c088f1d7ade307
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Volume
900
Million Devices
Avail. Formats
.json, .csv, and .xls
File
Coverage
249
Countries
History
2
years

Data Dictionary

Product Attributes
Attribute Type Example Mapping
device_id
String
Float Float Latitude
Float Float Longitude
horizontal_accuracy
Float
timestamp
Long
id_type
String
device_os
String
os_version
String
String ****** IP Address
user_agent
String
String String Country Name
String String Country Code Alpha-2
source_id
String
publisher_id
String
app_id
String
location_collection_method
String
geohash
String
device_model
String
device_manufacturer
String

Description

Quadrant (An Appen Company) is a global leader in mobile location data, POI data, and corresponding compliance services. Our location data is gathered from a variety of mobile SDKs across the world, allowing you to perform location analytics and derive location-based intelligence.
Quadrant's location data contains 16 attributes, including standard attributes such as Latitude, Longitude, and Timestamp, and non-standard attributes such as Geohash. Our historical data spans as far back as 2019. We conduct stringent evaluations on supplier feeds to ensure authenticity and quality. Our proprietary algorithms detect and cleanse corrupted and duplicated data points - allowing you to leverage our datasets rapidly with minimal data processing or cleaning. Quadrant’s mobile location data is processed through a deduplicating algorithm that focuses on a combination of four important attributes: Device ID, Latitude, Longitude, and Timestamp. This algorithm scours our data and identifies rows that contain the same combination of these four attributes. Post-identification, it retains a single copy and eliminates duplicate values to ensure our customers only pay for complete and unique datasets. We actively identify overlapping values at the supply level to determine the value each supplier offers. Our data science team has developed a sophisticated overlap analysis model that helps us maintain a high-quality data feed by qualifying suppliers based on unique data values rather than volumes alone – measures that provide significant benefits to our buyers. Through our in-house data science team, we offer sophisticated technical documentation, location data algorithms, and queries that help data buyers get a headstart on their analyses. Quadrant’s Data Noise Algorithm weeds out events that occurred seven days before the data is received (unless historical data is requested). By filtering these outdated events, we ensure that the data we deliver to our customers is recent and relevant. Reducing latency also decreases file sizes, which results in more efficient data delivery.

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 (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
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

2 years of historical data

Volume

900 Million Devices
200 Countries
176 Million Daily Active Users

Pricing

License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
Frequency
daily
on-demand
Format
.json
.csv
.xls

Use Cases

Categories

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Frequently asked questions

What is Aggregated Foot Traffic Data - Global Raw Location Data - 900+ Million Unique Devices - Quadrant?

Quadrant (An Appen Company) is a global leader in mobile location data, POI data, and corresponding compliance services. Our location data is gathered from a variety of mobile SDKs across the world, allowing you to perform location analytics and derive location-based intelligence.

What is Aggregated Foot Traffic Data - Global Raw Location Data - 900+ Million Unique Devices - Quadrant used for?

This product has 5 key use cases. Quadrant recommends using the data for Location-based Marketing, Location Analytics, Audience Segmentation, Attribution Analysis, and Urban Mobility Analysis. Global businesses and organizations buy Location Data from Quadrant to fuel their analytics and enrichment.

Who can use Aggregated Foot Traffic Data - Global Raw Location Data - 900+ Million Unique Devices - Quadrant?

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

How far back does the data in Aggregated Foot Traffic Data - Global Raw Location Data - 900+ Million Unique Devices - Quadrant go?

This Tabular Data has 2 years of historical coverage. It can be delivered on a daily and on-demand basis.

Which countries does Aggregated Foot Traffic Data - Global Raw Location Data - 900+ Million Unique Devices - Quadrant cover?

This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Quadrant is headquartered in Singapore.

How much does Aggregated Foot Traffic Data - Global Raw Location Data - 900+ Million Unique Devices - Quadrant cost?

Pricing information for Aggregated Foot Traffic Data - Global Raw Location Data - 900+ Million Unique Devices - Quadrant is available by getting in contact with Quadrant. Connect with Quadrant to get a quote and arrange custom pricing models based on your data requirements.

How can I get Aggregated Foot Traffic Data - Global Raw Location Data - 900+ Million Unique Devices - Quadrant?

Businesses can buy Location Data from Quadrant and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Quadrant can deliver this product in .json, .csv, and .xls format.

What is the data quality of Aggregated Foot Traffic Data - Global Raw Location Data - 900+ Million Unique Devices - Quadrant?

You can compare and assess the data quality of Quadrant using Datarade’s data marketplace. Quadrant appears on selected Datarade top lists ranking the best data providers, including Best Data Providers For Location-Based Marketing.

What are similar products to Aggregated Foot Traffic Data - Global Raw Location Data - 900+ Million Unique Devices - Quadrant?

This Tabular Data has 3 related products. These alternatives include Global Raw Location Data - Quadrant Foot Traffic Data - 900+ Million Unique Devices, Factori Raw mobile location data -Available Worldwide( 1 year history), and Unacast Location Data API - Global Mobile Location Data - Current & Historical. You can compare the best Location 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 Available