Factori Geospatial Data | Global | Location Intelligence | POI , Foot Traffic, Store Visit

#	Location ID	company name	website	BrandID	phone	streetAddress	city	state	country_code	zip	lat	lng	geoHash8	category	workHours	stock_ticker	tier1_naics_code	tier1_naics_category	tier2_naics_code	tier2_naics_category	tier3_naics_code	geometry_bounds	geometry_location	types	building_id	building_type	building_name	shape_type	shape_polygon	geometry_id	Social Media Profile Links
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
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3	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxx	Xxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx
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8	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx	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
9	Xxxxxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	Xxxxx	Xxxxx	Xxxxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	xxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxx
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Request Data Sample

Volume

150

Country Coverage

Data Quality

90%

match rate

Avail. Format

.csv

File

Coverage

249

Countries

History

years

Product Attributes

Attribute	Type	Example	Mapping
Location ID	String	4d40963eae8799d827d0ee1507068dfd	Location ID
company name	String	7-Eleven	Company Name
website	String	7-eleven.com	Company Website
BrandID	String	1f12f79901b84906deffc0bff68eb89eE	Brand ID
phone	String	(###) ###-####	Company Phone Number
streetAddress	String	### ****** **	Address
city	String	Santa Monica	City Name
state	String	CA	State Name
country_code	Integer	US	Country Code Numeric
zip	String	90411	ZIP Code
lat	Float	34.0208943	Latitude
lng	Float	-118.49549	Longitude
geoHash8		9q59x964
category	String	Convenience store	POI Category
workHours		[Monday Open 24 hours, Tuesday Open 24 hours, Wednesday O...
stock_ticker	String	SVNDY	Stock Ticker
tier1_naics_code	String	44	Company NAICS Code
tier1_naics_category
tier2_naics_code	String	445	Company NAICS Code
tier2_naics_category
tier3_naics_code	String	4451	Company NAICS Code
geometry_bounds		{"northeast": { "lat": 41.2373644, "lng": 69.2144752 }, "...
geometry_location		{"lat":34.0208933,"lng":-118.49541}
types		street_address
building_id
building_type		commercial
building_name		Dynasties Restaurant Wok
shape_type		polygon
shape_polygon		POLYGON ((-118.4955766 34.0207802, -118.4956121 34.020810...
geometry_id		559939957
Social Media Profile Links

We provide Geospatial Dataset, which helps power geographical information system (GIS) tools and provides data-driven insights across a wide range of use cases, from marketing to public planning and fraud detection.

Our Geospatial Dataset connects people's movements to over 14M physical locations globally. These are aggregated and anonymized data that are only used to offer context for the volume and patterns of visits to certain locations. This data feed is compiled from different data sources around the world. It includes information such as the name, address, coordinates, and category of these locations, which can range from restaurants and hotels to parks and tourist attractions Location Intelligence Data Reach: Location Intelligence data brings the POI/Place/OOH level insights calculated on the basis of Factori’s Mobility & People Graph data aggregated from multiple data sources globally. In order to achieve the desired foot-traffic attribution, specific attributes are combined to bring forward the desired reach data. For instance, in order to calculate the foot traffic for a specific location, a combination of location ID, day of the week, and part of the day can be combined to give specific location intelligence data. There can be a maximum of 56 data records possible for one POI based on the combination of these attributes. Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method at a suitable interval (daily/weekly/monthly). Use Cases: Credit Scoring: Financial services can use alternative data to score an underbanked or unbanked customer by validating locations and persona. Retail Analytics: Analyze footfall trends in various locations and gain an understanding of customer personas. Market Intelligence: Study various market areas, the proximity of points or interests, and the competitive landscape Urban Planning: Build cases for urban development, public infrastructure needs, and transit planning based on fresh population data. Data Attributes Included: LocationID name website BrandID Phone streetAddress city state country_code zip lat lng poi_status geoHash8

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.)

1 years of historical data

15	Million+ Point of Interest
150	Country Coverage

Free sample available

10% discount if you buy via Datarade

License	Starts at
One-off purchase	Not available
Monthly License	Not available
Yearly License	Available
Usage-based	Not available

Request detailed pricing

Self-reported by the provider

90%

match rate

90%

horizontal accuracy

Methods

Frequency

Format

Location Intelligence Urban Mobility Analysis Retail Site Selection Store Visit Attribution

Movement Analytics

Foot Traffic Data Geographic Data Restaurant Location Data Business Location Data Places Data

214M Total Daily Pings

90% Vertical Accuracy

194 countries covered

We provide high precision human mobility data collected from location aware partner mobile apps from outside US locations, which includes attributes such as ...

320 Billion Pieces of Online Content Analyzed Each Day

80% match rate

249 countries covered

Contact us for comprehensive Business Location Data, Geographic Data, and Places Data. Unlock invaluable insights through our Location Data offerings. Explor...

31M Bar & Restaurant Locations

249 countries covered

20 years of historical data

dataplor's Global Bar & Restaurant Dataset covers 31+ million locations across 250 countries and territories, making it one of the most comprehensive global ...

11M POI (Points of Interest)

182 countries covered

2 years of historical data

Location data for CPG companies, such as store, brand, address, location, lat/log, open-hours, and NAICS category. This high-quality location data also inclu...

What is Factori Geospatial Data Global Location Intelligence POI , Foot Traffic, Store Visit?

What is Factori Geospatial Data Global Location Intelligence POI , Foot Traffic, Store Visit used for?

This product has 5 key use cases. Factori recommends using the data for Location Intelligence, Urban Mobility Analysis, Retail Site Selection, Store Visit Attribution, and Movement Analytics. Global businesses and organizations buy Foot Traffic Data from Factori to fuel their analytics and enrichment.

Who can use Factori Geospatial Data Global Location Intelligence POI , Foot Traffic, Store Visit?

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

How far back does the data in Factori Geospatial Data Global Location Intelligence POI , Foot Traffic, Store Visit go?

This product has 1 years of historical coverage. It can be delivered on a daily and monthly basis.

Which countries does Factori Geospatial Data Global Location Intelligence POI , Foot Traffic, Store Visit cover?

This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Factori is headquartered in United States of America.

How much does Factori Geospatial Data Global Location Intelligence POI , Foot Traffic, Store Visit cost?

Pricing information for Factori Geospatial Data Global Location Intelligence POI , Foot Traffic, Store Visit is available by getting in contact with Factori. Connect with Factori to get a quote and arrange custom pricing models based on your data requirements.

How can I get Factori Geospatial Data Global Location Intelligence POI , Foot Traffic, Store Visit?

Businesses can buy Foot Traffic Data from Factori and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Factori can deliver this product in .csv format.

What is the data quality of Factori Geospatial Data Global Location Intelligence POI , Foot Traffic, Store Visit?

Factori has reported that this product has the following quality and accuracy assurances: 90% match rate, 90% horizontal accuracy. You can compare and assess the data quality of Factori using Datarade’s data marketplace. Factori has received 2 reviews from clients. Factori appears on selected Datarade top lists ranking the best data providers, including 10 Best Data Providers for Customer Segmentation, Best Data Providers For Location-Based Marketing, and Top 10 POI Data Providers & APIs.

What are similar products to Factori Geospatial Data Global Location Intelligence POI , Foot Traffic, Store Visit?

This product has 3 related products. These alternatives include Factori High Fidelity Mobility Data Precised Mobile Location Data:200 Billion+ Locations , The Data Appeal Global Business Location Data 200 Million+ POI Data Mapped Coverage from 2019 API, Dataset, and Global Bar & Restaurant Data Points of Interest (POI). 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	Not available
Monthly License	Not available
Yearly License	Available
Usage-based	Not available

Verified Provider

3h Avg. response time

100% Response rate

Factori Geospatial Data | Global | Location Intelligence | POI , Foot Traffic, Store Visit

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Factori
Location Intelligence Made Simple

Trusted by

Factori Geospatial Data | Global | Location Intelligence | POI , Foot Traffic, Store Visit

Data Dictionary

Description

Country Coverage

History

Volume

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Factori Location Intelligence Made Simple

Trusted by

Factori
Location Intelligence Made Simple