Factori Location Intelligence with Profile|POI + People Data|

Our Location Intelligence Data connects people's movements to over 14M 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.

Location Intelligence data brings the POI/Place/OOH level insights 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, 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 40 data records possible for one POI based on the combination of these attributes.

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).

Consumer Insights: Gain a complete 360-degree view of the customer to detect behavioral changes, assess patterns, and forecast business effects.

Data Enrichment: Leverage O2O consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment.

Sales Forecasting: Analyze consumer behavior to predict sales and monitor performance of investments

Retail Analytics: Analyze footfall trends in various locations and gain understanding of customer personas.

Geofencing: Geofencing involves creating virtual boundaries around physical locations, enabling businesses to trigger actions when users enter or exit these areas

Geo-Targeted Advertising: Utilizing location-based insights, businesses can deliver highly personalized advertisements to consumers based on their proximity to relevant POIs.

Marketing Campaign Strategy: Analyzing visitor demographics and behavior patterns around POIs, businesses can tailor their marketing strategies to effectively reach their target audience.

Site Selection: By assessing the proximity to relevant POIs such as competitors, customer demographics, and economic indicators, organizations can make informed decisions about opening new locations.

OOH/DOOH Campaign Planning: Identify high-traffic locations and understand consumer behavior in specific areas, to execute targeted advertising strategies effectively.

Data Attributes Included: 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

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

Contact us for more here: https://www.factori.ai/talk-to-expert/?utm_source=direct&utm_medium=referral&utm_campaign=opendatabay