Factori AI & ML Training Data | Consumer Data | USA | Machine Learning

Data Science and Analytics

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Consumer

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Ml

Training

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Factori AI & ML Training Data | Consumer Data | USA | Machine Learning Dataset on Opendatabay data marketplace

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£266,146.2

About

Our consumer data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.
Our comprehensive data enrichment solution includes a variety of data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences.
  • Geography - City, State, ZIP, County, CBSA, Census Tract, etc.
  • Demographics - Gender, Age Group, Marital Status, Language etc.
  • Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc
  • Persona - Consumer type, Communication preferences, Family type, etc
  • Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc.
  • Household - Number of Children, Number of Adults, IP Address, etc.
  • Behaviours - Brand Affinity, App Usage, Web Browsing etc.
  • Firmographics - Industry, Company, Occupation, Revenue, etc
  • Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc.
  • Auto - Car Make, Model, Type, Year, etc.
  • Housing - Home type, Home value, Renter/Owner, Year Built etc.
Consumer Graph Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:
Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).
Data schema:
Anonymous id
id_type
gender
age
carrier
make
model
os
os_version
home_country
home_geohash
work_geohash
device_price
device_age
affluence
brands_visited
place_categories
geo_behaviour
interests
travelled_countries
Use Cases: 360-Degree Customer View- Get a comprehensive image of customers by the means of internal and external data aggregation. Data Enrichment- Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment Fraud Detection- Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity. Advertising & Marketing- Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.
Read the Documentation here : https://docs.factori.ai/docs/us-consumer-graph
Refresh: Daily Geographic coverage: USA (All States)
For Complete data contact us here: https://www.factori.ai/talk-to-expert/

Listing Stats

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26

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0

LISTED

10/01/2026

UPDATED

23/01/2026

REGION

OTHER

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

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£266,146.2

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