Factori USA People Graph Data

Our People 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 People data, gain a deeper understanding of your customers, and power superior client experiences.

1. Geography: City, State, ZIP, County, CBSA, Census Tract, etc.

2. Demographics: Gender, Age Group, Marital Status, Language etc.

3. Financial: Income Range, Credit Rating Range, Credit Type, Net worth Range, etc

4. Persona: Consumer type, Communication preferences, Family type, etc

5. Interests: Content, Brands, Shopping, Hobbies, Lifestyle etc.

6. Household: Number of Children, Number of Adults, IP Address, etc.

7. Behaviours: Brand Affinity, App Usage, Web Browsing etc.

8. Firmographics: Industry, Company, Occupation, Revenue, etc

9. Retail Purchase: Store, Category, Brand, SKU, Quantity, Price etc.

10. Auto: Car Make, Model, Type, Year, etc.

11. Housing: Home type, Home value, Renter/Owner, Year Built etc.

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:

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).

Get a comprehensive image of customers by the means of internal and external data aggregation.

Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment

Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity.

Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.

person_id

first_name

last_name

age

gender

linkedin_url

twitter_url

facebook_url

city

state

address

zip

zip4

country

delivery_point_bar_code

carrier_route

walk_seuqence_code

fips_state_code

fips_country_code

country_name

latitude

longtiude

address_type

metropolitan_statistical_area

core_based+statistical_area

census_tract

census_block_group

census_block

primary_address

pre_address

streer

post_address

address_suffix

address_secondline

address_abrev

census_median_home_value

home_market_value

property_build+year

property_with_ac

property_with_pool

property_with_water

property_with_sewer

general_home_value

property_fuel_type

year

month

household_id

Census_median_household_income

household_size

marital_status

length+of_residence

number_of_kids

pre_school_kids

single_parents

working_women_in_house_hold

homeowner

children

adults

generations

net_worth

education_level

occupation

education_history

credit_lines

credit_card_user

newly_issued_credit_card_user

credit_range_new

credit_cards

loan_to_value

mortgage_loan2_amount

mortgage_loan_type

mortgage_loan2_type

mortgage_lender_code

mortgage_loan2_render_code

mortgage_lender

mortgage_loan2_lender

mortgage_loan2_ratetype

mortgage_rate

mortgage_loan2_rate

donor

investor

interest

buyer

hobby

personal_email

work_email

devices

phone

employee_title

employee_department

employee_job_function

skills

recent_job_change

company_id

company_name

company_description

technologies_used

office_address

office_city

office_country

office_state

office_zip5

office_zip4

office_carrier_route

office_latitude

office_longitude

office_cbsa_code

office_census_block_group

office_census_tract

office_county_code

company_phone

company_credit_score

company_csa_code

company_dpbc

company_franchiseflag

company_facebookurl

company_linkedinurl

company_twitterurl

company_website

company_fortune_rank

company_government_type

company_headquarters_branch

company_home_business

company_industry

company_num_pcs_used

company_num_employees

company_firm_individual

company_msa

company_msa_name

company_naics_code

company_naics_description

company_naics_code2

company_naics_description2

company_sic_code2

company_sic_code2_description

company_sic_code4

company_sic_code4_description

company_sic_code6

company_sic_code6_description

company_sic_code8

company_sic_code8_description

company_parent_company

company_parent_company_location

company_public_private

company_subsidiary_company

company_residential_business_code

company_revenue_at_side_code

company_revenue_range

company_revenue

company_sales_volume

company_small_business

company_stock_ticker

company_year_founded

company_minorityowned

company_female_owned_or_operated

company_franchise_code

company_dma

company_dma_name

company_hq_address

company_hq_city

company_hq_duns

company_hq_state

company_hq_zip5

company_hq_zip4

company_sector

company_duns

company_is_topchain

work_experience

motorcycle

automobile

Read the documentation here: https://docs.factori.ai/docs/consumer-data-1?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