SAMPLE Factori People Data | USA | Purchase, Behavior, Intent, Interest | Email, Address, ...

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.

People Data 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).

People Data 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.

Here's the schema of People Data:
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