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

Data Science and Analytics

Tags and Keywords

Consumer

Ai

Ml

Training

Trusted By
Trusted by company1Trusted by company2Trusted by company3
Factori AI & ML Training Data | Consumer Data | USA | Machine Learning Dataset on Opendatabay data marketplace

"No reviews yet"

£267,000

About

Consumer data is gathered and aggregated via surveys, digital services, and public data sources. Proprietary profiling algorithms ensure only fresh and reliable data points are ingested, making it suitable for ML training, feature engineering, and identity resolution workflows. The dataset covers multiple structured attribute domains across demographics, financials, behavior, and housing for all US states.
Geographic Coverage: USA (All States)
Refresh Cadence: Daily

Attribute Domains

1. Geography — City, State, ZIP, County, CBSA, Census Tract
2. Demographics — Gender, Age Group, Marital Status, Language
3. Financial — Income Range, Credit Rating Range, Credit Type, Net Worth Range
4. Persona — Consumer Type, Communication Preferences, Family Type
5. Interests — Content, Brands, Shopping, Hobbies, Lifestyle
6. Household — Number of Children, Number of Adults, IP Address
7. Behaviours — Brand Affinity, App Usage, Web Browsing
8. Firmographics — Industry, Company, Occupation, Revenue
9. Retail Purchase — Store, Category, Brand, SKU, Quantity, Price
10. Auto — Car Make, Model, Type, Year
11. Housing — Home Type, Home Value, Renter/Owner, Year Built

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

AI Use Cases

AI & ML Training Data — Multiple structured attribute domains across demographics, behavior, financials, and device signals provide a high-volume, multi-signal dataset for training location-aware and consumer-focused ML models.
Feature Engineering — Multiple attribute domains including financial ranges, device metadata, geohash-encoded locations, and behavioral signals map directly to ML feature vectors for supervised and unsupervised learning tasks.
360-Degree Customer View — Internal and external data aggregation across multiple domains enables comprehensive consumer profiling for segmentation and classification models.
Data Enrichment — Online-to-offline consumer profiles support building holistic audience segments to improve campaign targeting via user data enrichment pipelines.
Fraud Detection — Multiple digital identities across web and mobile signals support anomaly detection and real-user verification pipelines.
Advertising & Marketing — Demographics, interests, lifestyle, and behavioral signals enable targeted ML-driven marketing campaign modeling.

Delivery & Integration

  • Coverage: USA — All States
  • Refresh Cadence: Daily
  • Frequency Options: Daily, weekly, or monthly
  • Data Collection: Dynamic; each export reflects the most current available data
  • Reach Metrics Available on Request: Country-level counts, MAU, DAU, Monthly Location Pings

Read the documentation: https://docs.factori.ai/docs/us-consumer-graph
Talk to an expert: https://www.factori.ai/talk-to-expert/

Listing Stats

VIEWS

32

DELIVERY

INSTANT DOWNLOAD

LISTED

10/01/2026

UPDATED

27/03/2026

REGION

OTHER

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

Loading...

£267,000

Download Dataset in CSV Format