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Factori Location Intelligence | POI + People Data | AI Foot Traffic

Factori

Licensed LLM Data Provider

£72000

Factori Location Intelligence | POI + People Data | AI Foot Traffic

Synthetic Data Generation

Tags and Keywords

Poi

People

Location

Intelligence

Foottraffic

Trusted By

Factori Location Intelligence | POI + People Data | AI Foot Traffic Dataset on Opendatabay data marketplace

"No reviews yet"

£72,000

About

Location Intelligence data connects people's movements to over 14 million physical locations globally, compiled from multiple data sources around the world as aggregated and anonymized records.

Built on Factori's Mobility and People Graph data, this feed delivers POI, Place, and OOH-level insights calculated by combining specific attributes such as location ID, day of week, and part of day — with up to 40 data records possible per POI. Data is dynamically collected and delivered at suitable intervals, making it suitable for geospatial ML pipelines, foot traffic attribution models, and location-based feature engineering.

Attribute Domains

POI & Place Identity:

poi_id, name, description, category, category_id, brand_name, brand_id, building_id, building_name, building_type, status, is_claimed

Address & Geography: full_address, address, city, state, zip, country_code

Contact & Web: phone, url, domain, contact_info, local_business_links

Ratings & Reviews: rating, price_level, rating_distribution, total_photos, reviews_count, photo_url, attributes

Behavioral & Temporal: popular_times, work_hours, places_topics, people_also_search

Industry Classification: naics_code, naics_code_description, sic_code, sic_code_description

Geometry & Geospatial:

shape_type, shape_polygon, 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

Device & Identity: Anonymous_id, id_type, carrier, make, model, os, os_version, device_price, device_age Demographics: gender, age

Geospatial & Behavioral: home_country, home_geohash, work_geohash, geo_behaviour, travelled_countries

Affluence & Commerce: affluence, brands_visited, places_categories

Interests: interests

Data Schema

Anonymous id
poi_id
name
description
category
category_id
full_address
address
city
state
zip
country_code
phone
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_type
shape_polugon
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
building_id
building_name
building_type
id_type
gender
age
carrier
make
model
os
os_version
home_country
home_geohash
work_geohash
affluence
brands_visited
places_categories
geo_behaviour
interests
device_age
device_price
travelled_countries

AI Use Cases

Foot Traffic Attribution & Geospatial Feature Engineering — Combine poi_id, calculated_geo_hash_8, and geometry fields with temporal attributes to build location-level foot traffic features for ML models measuring physical visit patterns.

Consumer Behavior & Trend Prediction — Apply behavioral signals from geo_behaviour, popular_times, and places_categories to detect behavioral changes, assess visit patterns, and forecast business outcome models.

Retail Analytics & Site Selection Modeling — Use POI-level attributes including category, naics_code, rating, and proximity geometry to model competitive landscape, catchment zones, and optimal site selection decisions.

Audience Modeling & Data Enrichment — Leverage online-to-offline consumer profiles combining affluence, interests, brands_visited, and travelled_countries to build holistic audience segments for improved campaign targeting model performance.

OOH/DOOH Campaign Intelligence — Identify high-traffic locations using popular_times, geometry_location_lat/lng, and calculated_geo_hash_8 to train models supporting targeted out-of-home advertising strategy and placement.

Geo-Targeted Advertising & Geofencing — Use shape_polygon, geometry_viewport bounds, and device-level identity fields to construct geofenced audience segments and deliver personalized location-triggered advertising models.

Fraud Detection & Identity Verification — Cross-reference Anonymous_id, id_type, carrier, and device fields against location consistency signals to train anomaly detection models flagging suspicious behavior across digital and physical channels.

Delivery & Integration

POI coverage: 14 million+ physical locations globally

Data sources: Multiple data sources compiled globally

Records per POI: Up to 40 data records per POI based on combination of location ID, day of week, and part of day

Update cadence: Dynamic collection; delivered at daily, weekly, or monthly intervals depending on use case requirements

Export method: Delivered via best-suited method at suitable intervals

Dataset documentation: https://docs.factori.ai/docs/poi-data?utm_source=direct&utm_medium=referral&utm_campaign=opendatabay

Talk to an expert: https://www.factori.ai/talk-to-expert/?utm_source=direct&utm_medium=referral&utm_campaign=opendatabay

Listing Stats

VIEWS

DELIVERY

INSTANT DOWNLOAD

LISTED

19/01/2026

UPDATED

27/03/2026

REGION

GLOBAL

QUALITY

5 / 5

£72,000

Download Dataset in CSV Format

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