Factori Global Location Intelligence Data| Geospatial:Foot Print:Places Data|
# | id |
name |
address |
postcode |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx |
2 | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx |
3 | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
4 | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
5 | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx |
6 | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
7 | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx |
8 | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
9 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx |
10 | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx |
... | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
id
|
Integer | 108135561 | |
name
|
String | Walmart @ Miami 9191 W. Flagler St, Miami, FL 33174, USA | |
address
|
String | 9191 W. Flagler St, Miami, FL 33174, USA | |
postcode
|
Integer | 33172 | |
do_date
|
String | 01-08-2021 | |
year
|
Integer | 2021 | |
month
|
Integer | 8 | |
day_of_week
|
String | Thursday | |
part_of_day
|
String | Evening | |
n_visitors
|
Integer | 77 | |
distance_from_home
|
Float | 19877.16 | |
travelled_countries
|
String | {"CAN": 0.5, "MEX": 0.5} | |
visitor_country_origin
|
String | {"USA": 1.0} | |
visitor_home_origin
|
String | {"03202312110113033": 0.114, "03202310332330223": 0.057, ... | |
visitor_work_origin
|
String | {"03202312110113033": 0.114, "03202310332330223": 0.057, ... |
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 |
Description
Geography
History
Volume
698 million | MAU (Monthly active users) |
Pricing
License | Starts at |
---|---|
One-off purchase |
$25,000$22,500 / purchase |
Monthly License | Not available |
Yearly License | Not available |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Factori Global Location Intelligence Data Geospatial:Foot Print:Places Data ?
We provide Location Intelligence 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 Global Location Intelligence Data Geospatial:Foot Print:Places Data used for?
This product has 5 key use cases. Factori recommends using the data for Location Intelligence, Urban Mobility Analysis, Store Visit Tracking, Store Visit Attribution, and Movement Analytics. Global businesses and organizations buy Store Location Data from Factori to fuel their analytics and enrichment.
Who can use Factori Global Location Intelligence Data Geospatial:Foot Print:Places 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 Global Location Intelligence Data Geospatial:Foot Print:Places Data go?
This Tabular Data has 1 years of historical coverage. It can be delivered on a daily and monthly basis.
Which countries does Factori Global Location Intelligence Data Geospatial:Foot Print:Places 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 Global Location Intelligence Data Geospatial:Foot Print:Places Data cost?
Pricing for Factori Global Location Intelligence Data Geospatial:Foot Print:Places Data starts at USD25,000 per purchase. 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 Global Location Intelligence Data Geospatial:Foot Print:Places Data ?
Businesses can buy Store Location 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 Global Location Intelligence Data Geospatial:Foot Print:Places Data ?
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 Global Location Intelligence Data Geospatial:Foot Print:Places Data ?
This Tabular Data has 3 related products. These alternatives include Factori Location Intelligence with Profile POI + People Data , Location Data Global Store Location Data on 51M+ POI SafeGraph Places, and The Data Appeal Places Data API, Dataset 200 Million+ POI Data Mapped. 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.