PREDIK Data-Driven: Geospatial Data | USA | Tailor-made datasets: Foot traffic & Places Data

Q: What is PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data?

Data to identify and understand consumer behavior patterns and trends with Foot traffic and anonymized and aggregated mobility data.

Q: What is PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data used for?

This product has 5 key use cases. Predik Data-driven recommends using the data for Location Intelligence, Audience Insights, Retail Analytics, Customer Data Insights, and Address Data Enrichment. Global businesses and organizations buy Location Data from Predik Data-driven to fuel their analytics and enrichment.

Q: Who can use PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data?

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

Q: How far back does the data in PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data go?

This product has 5 years of historical coverage. It can be delivered on a weekly, monthly, quarterly, and yearly basis.

Q: Which countries does PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data cover?

This product includes data covering 235 countries like USA, Japan, Germany, India, and United Kingdom. Predik Data-driven is headquartered in United States of America.

Q: How much does PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data cost?

Pricing information for PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data is available by getting in contact with Predik Data-driven. Connect with Predik Data-driven to get a quote and arrange custom pricing models based on your data requirements.

Q: How can I get PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data?

Businesses can buy Location Data from Predik Data-driven and get the data via S3 Bucket, SFTP, Email, and Feed API. Depending on your data requirements and subscription budget, Predik Data-driven can deliver this product in .json, .csv, .xls, and .sql format.

Q: What is the data quality of PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data?

You can compare and assess the data quality of Predik Data-driven using Datarade’s data marketplace. Predik Data-driven has received 3 reviews from clients. Predik Data-driven appears on selected Datarade top lists ranking the best data providers, including Best +8 Airport APIs for Travel Data.

Q: What are similar products to PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data?

This product has 3 related products. These alternatives include The Data Appeal Global Business Location Data 200 Million+ POI Data Mapped Coverage from 2019 API, Dataset, GeoPostcodes Geospatial Data Location data Geographic data Zip Code Database Global coverage 8.6 M Zip codes Geocoded Weekly Updated, and Global Location Data 312+ Million Locations. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

#	device_id	id_type	latitude	longitude	horizontal_accuracy	timestamp	device_os	source_id	publisher_id	app_id	location_context	geohash	year	month	geohash3	geohash5	geohash6	geohash7	geohash8	geohash9	clave_device_dia	day_of_week	day	hour	distance_center	day_type	hour_type	distance_type	clave_device_dia_hora	in_polygon	kmh	ob_type	device_home_geohash	device_work_geohash	device_work_distance_center	rwi	administrative_area_level_1	administrative_area_level_2	administrative_area_level_3	route	political	country	locality	sublocality	neighborhood	postal_code
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	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx
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Request Data Sample

Avail. Formats

.json, .csv, and .xls

File

Coverage

235

Countries

History

years

Product Attributes

Attribute	Type	Example	Mapping
device_id		2a9d0617-355b-4f38-92e1-e7b77ec301b3
id_type		aaid
latitude	Float	12.9110403060913	Latitude
longitude	Float	77.5614013671875	Longitude
horizontal_accuracy		6
timestamp		1625553768000
device_os		Android
source_id		33
publisher_id		7aae836893ea29f8299763b7759f64fd599766eb543dc7b7d7d80ba7e...
app_id		2d901e3e08149bcede68d4563cf24058f8f4949c7e5f06b2e6b165851...
location_context		0
geohash		tdr1kyqkr8ke
year		2021
month		7
geohash3		tdr
geohash5		tdr1k
geohash6		tdr1ky
geohash7		tdr1kyq
geohash8		tdr1kyqk
geohash9		tdr1kyqkr
clave_device_dia		2a9d0617-355b-4f38-92e1-e7b77ec301b318814
day_of_week		2
day		6
hour		1
distance_center		2014
day_type		weekday
hour_type		work_hour
distance_type		<200
clave_device_dia_hora		2a9d0617-355b-4f38-92e1-e7b77ec301b3188141
in_polygon		1
kmh		1.14440916824341
ob_type		pedestrian
device_home_geohash		tdr1kyqk
device_work_geohash		tdr1kyqk
device_work_distance_center		<200
rwi		25-35
administrative_area_level_1		Karnataka
administrative_area_level_2		Bangalore Urban
administrative_area_level_3		bangalore
route		6th Main Road
political		Bendre Nagar
country	String	India	Country Name
locality		Bengaluru
sublocality		Bengal
neighborhood	String	little India	Neighborhood Name
postal_code	String	560070	Postal Code

Data to identify and understand consumer behavior patterns and trends with Foot traffic and anonymized and aggregated mobility data.

This Location Data & Foot traffic dataset available for all countries include enriched raw mobility data and visitation at POIs to answer questions such as: -How often do people visit a location? (daily, monthly, absolute, and averages). -What type of places do they visit ? (parks, schools, hospitals, etc) -Which social characteristics do people have in a certain POI? - Breakdown by type: residents, workers, visitors. -What's their mobility like enduring night hours & day hours? -What's the frequency of the visits partition by day of the week and hour of the day? Extra insights -Visitors´ relative income Level. -Visitors´ preferences as derived by their visits to shopping, parks, sports facilities, churches, among others. Overview & Key Concepts Each record corresponds to a ping from a mobile device, at a particular moment in time and at a particular latitude and longitude. We procure this data from reliable technology partners, which obtain it through partnerships with location-aware apps. All the process is compliant with applicable privacy laws. We clean and process these massive datasets with a number of complex, computer-intensive calculations to make them easier to use in different data science and machine learning applications, especially those related to understanding customer behavior. Featured attributes of the data Device speed: based on the distance between each observation and the previous one, we estimate the speed at which the device is moving. This is particularly useful to differentiate between vehicles, pedestrians, and stationery observations. Night base of the device: we calculate the approximated location of where the device spends the night, which is usually their home neighborhood. Day base of the device: we calculate the most common daylight location during weekdays, which is usually their work location. Income level: we use the night neighborhood of the device, and intersect it with available socioeconomic data, to infer the device’s income level. Depending on the country, and the availability of good census data, this figure ranges from a relative wealth index to a currency-calculated income. POI visited: we intersect each observation with a number of POI databases, to estimate check-ins to different locations. POI databases can vary significantly, in scope and depth, between countries. Category of visited POI: for each observation that can be attributable to a POI, we also include a standardized location category (park, hospital, among others). Coverage: Worldwide. Delivery schemas We can deliver the data in three different formats: Full dataset: one record per mobile ping. These datasets are very large, and should only be consumed by experienced teams with large computing budgets. Visitation stream: one record per attributable visit. This dataset is considerably smaller than the full one but retains most of the more valuable elements in the dataset. This helps understand who visited a specific POI, characterize and understand the consumer's behavior. Audience profiles: one record per mobile device in a given period of time (usually monthly). All the visitation stream is aggregated by category. This is the most condensed version of the dataset and is very useful to quickly understand the types of consumers in a particular area and to create cohorts of users.

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 (Democratic People's Republic of)

Korea (Republic of)

Kuwait

Kyrgyzstan

Lao People's Democratic Republic

Lebanon

Macao

Malaysia

Maldives

Mongolia

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 (1)

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.)

5 years of historical data

Free sample available

Predik Data-driven has not published pricing information for this product yet. You can request detailed pricing information below.

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What is PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data?

Data to identify and understand consumer behavior patterns and trends with Foot traffic and anonymized and aggregated mobility data.

What is PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data used for?

This product has 5 key use cases. Predik Data-driven recommends using the data for Location Intelligence, Audience Insights, Retail Analytics, Customer Data Insights, and Address Data Enrichment. Global businesses and organizations buy Location Data from Predik Data-driven to fuel their analytics and enrichment.

Who can use PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data?

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

How far back does the data in PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data go?

This product has 5 years of historical coverage. It can be delivered on a weekly, monthly, quarterly, and yearly basis.

Which countries does PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data cover?

This product includes data covering 235 countries like USA, Japan, Germany, India, and United Kingdom. Predik Data-driven is headquartered in United States of America.

How much does PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data cost?

Pricing information for PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data is available by getting in contact with Predik Data-driven. Connect with Predik Data-driven to get a quote and arrange custom pricing models based on your data requirements.

How can I get PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data?

Businesses can buy Location Data from Predik Data-driven and get the data via S3 Bucket, SFTP, Email, and Feed API. Depending on your data requirements and subscription budget, Predik Data-driven can deliver this product in .json, .csv, .xls, and .sql format.

What is the data quality of PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data?

You can compare and assess the data quality of Predik Data-driven using Datarade’s data marketplace. Predik Data-driven has received 3 reviews from clients. Predik Data-driven appears on selected Datarade top lists ranking the best data providers, including Best +8 Airport APIs for Travel Data.

What are similar products to PREDIK Data-Driven: Geospatial Data USA Tailor-made datasets: Foot traffic & Places Data?

This product has 3 related products. These alternatives include The Data Appeal Global Business Location Data 200 Million+ POI Data Mapped Coverage from 2019 API, Dataset, GeoPostcodes Geospatial Data Location data Geographic data Zip Code Database Global coverage 8.6 M Zip codes Geocoded Weekly Updated, and Global Location Data 312+ Million Locations. 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

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PREDIK Data-Driven: Geospatial Data | USA | Tailor-made datasets: Foot traffic & Places Data

Data Dictionary

Description

Country Coverage

History

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Predik Data-driven
Problem Solving with a Data-Driven Approach

Trusted by

PREDIK Data-Driven: Geospatial Data | USA | Tailor-made datasets: Foot traffic & Places Data

Data Dictionary

Description

Country Coverage

History

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Predik Data-driven Problem Solving with a Data-Driven Approach

Trusted by

Predik Data-driven
Problem Solving with a Data-Driven Approach