Factori Location Intelligence with Profile|POI + People Data| product image in hero

Factori Location Intelligence with Profile|POI + People Data|

Factori
4.9(2)Badge iconVerified Data Provider
#
PlaceID
do_date
year
month
day_of_week
part_of_day
n_visitors
distance_from_home
travelled_countries
visitor_country_origin
visitor_home_origin
visitor_work_origin
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... xxxxxxxxx xxxxxxx Xxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxx xxxxxxxxx xxxxxxx Xxxxxx xxxxxxxxx xxxxx Xxxxxxx
Sign In To Preview Data
Volume
420M
MAU
Data Quality
90%
horizontal accuracy
Avail. Formats
.xml, .csv, and .xls
File
Coverage
249
Countries
History
1
years

Data Dictionary

[Sample] Factori_Location_Sample_data.csv
Attribute Type Example Mapping
PlaceID
String Walmart @ Miami 8400 Coral Way, Miami, FL 33155, USA
do_date
DateTime 2024-05-01T00:00:00+00:00
year
Integer 2024
month
Integer 5
day_of_week
String All
part_of_day
String Afternoon
n_visitors
Integer 1926
distance_from_home
Float 66492.461
travelled_countries
String {"CUB": 0.175, "MEX": 0.14, "BHS": 0.105, "CAN": 0.088, "...
visitor_country_origin
String {"USA": 1.0}
visitor_home_origin
String {"03202312110131313": 0.019, "03202312111020202": 0.005, ...
visitor_work_origin
String {"03202312110131313": 0.038, "03202312110132103": 0.004, ...
Product Attributes
Attribute Type Example Mapping
String STRING Location ID
n_visitors
INTEGER
day_of_week
STRING
distance_from_home
DOUBLE
do_date
DATE
month
STRING
part_of_day
STRING
travelled_countries
JSON
Visitor_country_origin
JSON
Visitor_home_origin
JSON
Visitor_work_origin
JSON
year
STRING
Carrier
JSON
Brand Visited
JSON
Place _Categories
JSON
Geo _ behaviour
JSON
make
JSON
model
JSON
OS_versions
JSON
ratio_age_18_24
FLOAT
ratio_age_25_34
FLOAT
ratio_age_35_44
FLOAT
ratio_age_45_54
FLOAT
ratio_age_55_64
FLOAT
ratio_age_65
FLOAT
ratio_female
FLOAT
ratio_male
FLOAT
ratio_residents
FLOAT
ratio_workers
FLOAT
ratio_others
FLOAT

Description

We provide Location Intelligence Data/POI with identity data, 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 Location Intelligence Data 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. Location Intelligence Data Reach: Location Intelligence data brings the POI/Place/OOH level insights calculated based on Factori’s Mobility & People Graph data aggregated from multiple data sources globally. To achieve the desired foot-traffic attribution, specific attributes are combined to bring forward the desired reach data. For instance, 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 40 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 Case: Retail Analytics Platform: Location intelligence to analyze foot traffic patterns around retail stores, combining this data with customer profiles to gain insights into visitor demographics. These insights optimize store layouts, staffing, and product placements Marketing Campaign Optimization: Utilize location intelligence to analyze consumer behavior and preferences using geographical and demographic data for more effective audience segmentation and targeting. Emergency Response Planning Tool: To identify high-risk areas for natural disasters or emergencies and profiles to assess vulnerability and evacuation needs across different population segments Smart City Mobility Solution: Provide city planners and transportation authorities with insights to optimize transportation systems, alleviate congestion, and improve urban mobility for residents Event Planning and Venue Selection: Assists planners in selecting suitable venues that match the demographic profile and preferences of their audience Data Attributes Included: Location ID n_visitors day_of_week distance_from_home do_date month part_of_day travelled_countries Visitor_country_origin Visitor_home_origin Visitor_work_origin year Carrier Brand Visited Place _Categories Geo _ behaviour make model OS_versions ratio_age_18_24 ratio_age_25_34 ratio_age_35_44 ratio_age_45_54 ratio_age_55_64 ratio_age_65 ratio_female ratio_male ratio_residents ratio_workers ratio_others

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

5 million POI's
420 million MAU

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
$97,500$87,750 / year
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

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

Delivery

Methods
S3 Bucket
UI Export
Feed API
Frequency
monthly
quarterly
yearly
Format
.xml
.csv
.xls

Use Cases

Categories

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Frequently asked questions

What is Factori Location Intelligence with Profile POI + People Data ?

We provide Location Intelligence Data/POI with identity data, 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 Location Intelligence with Profile POI + People Data used for?

This product has 5 key use cases. Factori recommends using the data for Demographic Segmentation, Urban Mobility Analysis, Store Visit Tracking, Location Planning, and Location Insights. Global businesses and organizations buy Store Location Data from Factori to fuel their analytics and enrichment.

Who can use Factori Location Intelligence with Profile POI + People Data ?

This product is best suited if you’re a Medium-sized Business, Enterprise, or Small Business looking for Store Location 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 Location Intelligence with Profile POI + People Data go?

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

Which countries does Factori Location Intelligence with Profile POI + People Data 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 Location Intelligence with Profile POI + People Data cost?

Pricing for Factori Location Intelligence with Profile POI + People Data starts at USD97,500 per year. Factori offers a 10% discount when you buy data from them through Datarade. Connect with Factori to get a quote and arrange custom pricing models based on your data requirements.

How can I get Factori Location Intelligence with Profile POI + People Data ?

Businesses can buy Store Location Data from Factori and get the data via S3 Bucket, UI Export, and Feed API. Depending on your data requirements and subscription budget, Factori can deliver this product in .xml, .csv, and .xls format.

What is the data quality of Factori Location Intelligence with Profile POI + People Data ?

Factori has reported that this product has the following quality and accuracy assurances: 90% horizontal accuracy, 90% match rate. 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 Location Intelligence with Profile POI + People Data ?

This product has 3 related products. These alternatives include The Data Appeal Places Data API, Dataset 200 Million+ POI Data Mapped, Global Independent & Multi-National Retail Location Data, and Factori High Fidelity Mobility Data Precised Mobile Location Data:200 Billion+ Locations . You can compare the best Store Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at
$97,500$87,750 / year
License Starts at
One-off purchase Not available
Monthly License Not available
Yearly License
$97,500$87,750 / year
Usage-based Not available

Factori

Location Intelligence Made Simple

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9h Avg. response time
96% Response rate

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