Factori Visit Data | Global | Location Intelligence | Geospatial  Data |POI , Foot Traffic, Store Visit product image in hero

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

Factori
4.9(2)Badge iconVerified Data Provider
poi_id
name
description
category
category_id
additional_categories
full_address
address
city
state
zip
country_code
phone
url
domain
photo_url
total_photos
latitude
longitude
is_claimed
status
attributes
place_topics
rating
price_level
rating_distribution
people_also_search
work_hours
popular_times
total_business_links
contact_info
reviews_count
geometry_location_type
geometry_viewport_northeast_lat
geometry_viewport_northeast_lng
geometry_viewport_southwest_lat
geometry_viewport_southwest_lng
geometry_location_lat
geometry_location_lng
naics_code
naics_code_description
sic_code
sic_code_description
calculated_geo_hash_8
building_type
building_name
shape_type
shape_polygon
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Volume
150
Country Coverage
Data Quality
90%
match rate
Avail. Format
.csv
File
Coverage
249
Countries
History
1
years

Data Dictionary

[Sample] Factori Poi Data Sample Sample
Attribute Type Example Mapping
poi_id
String 3a76913d10ae1cd4b7b54f45688ca8b8157b0394
name
String Long Island Beauty School - Hempstead
description
String The only way to truly learn your way in the hair and beau...
category
String Beauty school
category_id
String 8ae24e4d6067373000ea6d14bb7bf34cab07cc97
additional_categories
full_address
String 173a Fulton Ave, Hempstead, NY 11550
address
String 173a Fulton Ave
city
String Hempstead
state
String New York
zip
Integer 11550
country_code
String US
phone
String [+####-###-####]
url
String https://www.libs.edu/
domain
String www.libs.edu
photo_url
String https://lh5.googleusercontent.com/p/AF1QipOYosdHBBaKI7SRu...
total_photos
Integer 29
latitude
Float 40.70758
longitude
Float -73.62968
is_claimed
Boolean t
status
String close
attributes
String {"service_options":["offers_online_classes","has_onsite_s...
place_topics
String [money, graduated, test, license, communication, informat...
rating
String {"max_rating":5,"value":3,"votes_count":51}
price_level
rating_distribution
String {"1":14,"2":2,"3":0,"4":3,"5":32}
people_also_search
String [{"poi_id":"d76436e3ddd49862ae605c14342b865df12bc8c0","ti...
work_hours
String {"monday":[{"open":{"hour":9,"minute":0},"close":{"hour":...
popular_times
String {"popular_times_by_days":{"monday":[{"time":{"hour":6,"mi...
total_business_links
contact_info
String [{"type":"Telephone","value":"+16317240440","source":"bac...
reviews_count
geometry_location_type
geometry_viewport_northeast_lat
geometry_viewport_northeast_lng
geometry_viewport_southwest_lat
geometry_viewport_southwest_lng
geometry_location_lat
geometry_location_lng
naics_code
naics_code_description
sic_code
sic_code_description
calculated_geo_hash_8
building_type
building_name
shape_type
String polygon
shape_polygon
String POLYGON ((-73.629985 40.707777, -73.6298683 40.7075464, -...
Product Attributes
Attribute Type Example Mapping
String 4d40963eae8799d827d0ee1507068dfd Location ID
String 7-Eleven Company Name
String 7-eleven.com Company Website
String 1f12f79901b84906deffc0bff68eb89eE Brand ID
String (###) ###-#### Company Phone Number
String ### ******** **** Address
String Santa Monica City Name
String CA State Name
Integer US Country Code Numeric
String 90411 ZIP Code
Float 34.0208943 Latitude
Float -118.49549 Longitude
geoHash8
9q59x964
String Convenience store POI Category
workHours
[Monday Open 24 hours, Tuesday Open 24 hours, Wednesday O...
String SVNDY Stock Ticker
String 44 Company NAICS Code
tier1_naics_category
String 445 Company NAICS Code
tier2_naics_category
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

Description

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 200M 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. Marketing Campaign Strategy: Analyzing visitor demographics and behavior patterns around POIs, businesses can tailor their marketing strategies to effectively reach their target audience. OOH/DOOH Campaign Planning: Identify high-traffic locations and understand consumer behavior in specific areas, to execute targeted advertising strategies effectively. Geofencing: Geofencing involves creating virtual boundaries around physical locations, enabling businesses to trigger actions when users enter or exit these areas Data Attributes Included: LocationID name website BrandID Phone streetAddress city state country_code zip lat lng poi_status geoHash8 poi_id category category_id full_address address additional_categories url domain rating price_level rating_distribution is_claimed photo_url attributes brand_name brand_id status total_photos popular_times places_topics people_also_search work_hours local_business_links contact_info reviews_count naics_code naics_code_description sis_code sic_code_description shape_polygon building_id building_type building_name geometry_location_type geometry_viewport_northeast_lat geometry_viewport_northeast_lng geometry_viewport_southwest_lat geometry_viewport_southwest_lng geometry_location_lat geometry_location_lng calculated_geo_hash_8

Country Coverage

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

1 years of historical data

Volume

15 Million+ Point of Interest
150 Country Coverage

Pricing

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

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
90%
match rate
90%
horizontal accuracy

Delivery

Methods
S3 Bucket
Frequency
daily
monthly
Format
.csv

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

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

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.

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

Pricing information for Factori Visit Data Global Location Intelligence Geospatial Data 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 Visit Data Global Location Intelligence Geospatial Data 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 Visit Data Global Location Intelligence Geospatial Data 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, Top 10 POI Data Providers & APIs, and Top 9 Identity Resolution & Device Graph Providers in the EU.

What are similar products to Factori Visit Data Global Location Intelligence Geospatial Data 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 , Location Data Global Location Data on 56M+ POI SafeGraph Places, and POI Data 230M+ Business Locations, Geographic & Places Insights. 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

Factori

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