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
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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