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Factori Visit Data | Location Intelligence & Geospatial Data for AI
Synthetic Data Generation
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"No reviews yet"
£267,000
About
Geospatial dataset connects people's movements to 200M+ physical locations globally, including restaurants, hotels, parks, and tourist attractions. Data is aggregated and anonymized from multiple sources worldwide, compiled to offer context for the volume and patterns of visits to specific locations. Each record includes name, address, coordinates, and category of the location, suitable for foot-traffic attribution, geospatial ML pipelines, and location intelligence workflows.
POI Coverage: 200M+ physical locations globally
Records per POI: Up to 56 based on combinations of location ID, day of week, and part of day
Geographic Coverage: Global
Refresh Cadence: Monthly
Data Schema
location_id
name
website
brand_id
phone
street_address
city
state
country_code
zip
lat
lng
poi_status
geohash_8
poi_id
category
category_id
full_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
sic_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
AI Use Cases
Geospatial Feature Engineering — Geohash, geometry coordinates, viewport bounds, and shape polygons map directly to geospatial ML feature vectors for proximity, movement, and territory modeling.
Foot Traffic & Behavioral Analysis — Up to 56 attribute combinations per POI support time-series modeling for footfall prediction and consumer behavior analysis.
Retail & Footfall Analytics — Popular times, visit patterns, and location-level aggregations support footfall trend analysis and customer persona modeling at specific retail locations.
Market Intelligence — Proximity signals, category data, and competitive landscape attributes support data-driven market area analysis across global geographies.
Credit Scoring — Location and persona validation signals support alternative credit scoring models for underbanked or unbanked consumer segments.
Urban Planning — Fresh population movement data supports use cases for urban development, public infrastructure needs, and transit planning models.
OOH/DOOH Campaign Planning — Identify high-traffic locations and model consumer behavior in specific areas to execute targeted out-of-home advertising strategies.
Marketing Campaign Strategy — Visitor demographics and behavior patterns around POIs support audience segmentation and targeted ML-driven campaign modeling.
Delivery & Integration
- Coverage: Global with 200M+ physical locations
- Refresh Cadence: Monthly
- Frequency Options: Daily, weekly, or monthly
- Data Collection: Dynamic; each export reflects the most current available data
- Format and Delivery: Confirmed on engagement
Read the documentation: https://docs.factori.ai/docs/poi-data
Talk to an expert: https://www.factori.ai/talk-to-expert/
Listing Stats
VIEWS
18
DELIVERY
INSTANT DOWNLOAD
LISTED
10/01/2026
UPDATED
27/03/2026
REGION
GLOBAL
QUALITY
5 / 5
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£267,000
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