POI Data

We provide POI 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 POI Data connects people's movements to over 15M+ Raw POIs across 150 countries. 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.

Reach
Our POI/Place/OOH level insights are 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, 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.

Schema

Attribute NameSample Values
LocationID4d40963eae8799d827d0ee1507068dfd
name7-Eleven
website7-eleven.com
BrandID1f12f79901b84906deffc0bff68eb89e
claimedY
phone(310) 393-7330
Phone2
streetAddress630 Wilshire Blvd
citySanta Monica
stateCA
country_codeUS
zip90411
zip+490411-1502
lat34.0208943
lng-118.49549
poi_statusopen
geoHash89q59x964
plusCode1185632GC3+9R2
categoryConvenience store
specialtyConvenience store
Additional discovered Categories
workHours[Monday Open 24 hours, Tuesday Open 24 hours, Wednesday Open 24 hours, Thursday Open 24 hours, Friday Open 24 hours, Saturday Open 24 hours, Sunday Open 24 hours]
Year Founded
Age
reviewsCount12
rating5.0
numberOfPictures5
tier1_naics_code44
tier1_naics_category
tier2_naics_code445
tier2_naics_category
tier3_naics_code4451
tier3_naics_category
tier4_naics_code44512
tier4_naics_category
tier5_naics_code445120
tier5_naics_categoryConvenience Stores
stock_tickerSVNDY
address_components[{"long_name": "Chilonzor district, Block 31","short_name": "Chilonzor district, Block 31","types": ["establishment","point_of_interest","transit_station"]},{"long_name": "Учтепа тумани","short_name": "Учтепа тумани","types": ["political","sublocality","sublocality_level_1"]},{"long_name": "Тоshkent","short_name": "Тоshkent","types": ["locality","political"]},{"long_name": "Toshkent","short_name": "Toshkent","types": ["administrative_area_level_1","political"]},{"long_name": "Uzbekistan","short_name": "UZ","types": ["country","political"]}]
formatted_addressChilonzor district, Block 31, Тоshkent, Toshkent, Uzbekistan
geometry_bounds{"northeast": { "lat": 41.2373644, "lng": 69.2144752 }, "southwest": { "lat": 41.2371556, "lng": 69.2142112 }}
geometry_location{"lat":34.0208933,"lng":-118.49541}
geometry_location_typeROOFTOP
geometry_viewport{"northeast":{"lat":34.02112,"lng":-118.4952},"southwest":{"lat":34.02111,"lng":-118.49519}}
typesstreet_address
building_idway_559939957
building_typecommercial
building_nameDynasties Restaurant Wok
shape_typepolygon
shape_polygonPOLYGON ((-118.4955766 34.0207802, -118.4956121 34.0208106, -118.4956272 34.0207983, -118.4956612 34.0208274, -118.4956277 34.0208546, -118.4956421 34.0208669, -118.4955481 34.020943, -118.4955552 34.0209491, -118.4953606 34.0211067, -118.4953546 34.0211015, -118.4953531 34.0211028, -118.4953374 34.0210894, -118.4953161 34.0211067, -118.4952468 34.0210473, -118.4955766 34.0207802))
geometry_id559939957
Physical Neighborhood Name
Social Neighborhood Name
Nearby Neighborhoods
Social Media Profile Links