This object represents the response from the Demographics Append endpoint:

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age string
The age range of the individual.
Possible Values:

18-20

21-24

25-34

35-44

45-54

55-64

65+

gender string
The gender of the individual.
Possible Values: Male, Female

zip string
The ZIP code of the individual's address.
Example: 94105

household_income string
Income of head of household by range.

Possible Values

0-15k
15k-25k
25k-35k
35k-50k
50k-75k
75k-100k
100k-150k
150k-175k
175k-200k
200k-250k
250k+

household_income string
Income of head of household by range.

Possible Values

0-15k
15k-25k
25k-35k
35k-50k
50k-75k
75k-100k
100-150k
150-175k
175-200k
200-250k
250k+

net_worth string
The approximate net worth of the household.

Possible Values

0-5k
5k-10k
10k-25k
25k-50k
50k-100k
100k-250k
250k-500k
500k-1mm
1mm+

home_market_value string
Market value of household's home.

Possible Values

1k-25k
25k-50k
50k-75k
75k-100k
100k-150k
150k-200k
200k-250k
250k-300k
300k-350k
350k-500k
500k-1mm
1mm+

home_owner_status string
The household owns or rents its home.
Possible Values: Own, Rent

length_of_residence string
Number of years household has spent in the current residence.

Possible Values

Less than 1 year
1 Year
2 Years
3 Years
4 Years
5 Years
6 Years
7 Years
8 Years
9 Years
10 Years
11-15 Years
16-19 Years
20+ Years

marital_status string
The marital status of the primary occupants of the household.
Possible Values: Single, Married

presence_of_children string
Indicates whether there are one or more children in the household.
Possible Values: Yes, No

education string
Indicates the highest known level of education completed in the household.

Possible Values

Attended College
Attended Vocational/Technical School
Completed College
Completed Graduate School
Completed High School

occupation string
The occupation of the primary person in the household.

Possible Values

Blue Collar Worker
Business Owner
Civil Service
Executive/Upper Management
Health Services
Homemaker
Middle Management
Military Personnel
Nurse
Part Time
Professional
Retired
Secretary
Student
Teacher
Technology
White Collar Worker

interests object

The interest and purchase data features the categories below. The returned value true means the individual has displayed that interest or purchased in that category. If the field name is absent, we have not seen that behavior.

arts_and_crafts boolean
Purchases of arts and crafts products.

automotive boolean
Purchases of automotive products.

baby_product_buyer boolean
Purchases of baby products.

beauty boolean
Purchases of beauty products and interest in beauty.

blogging boolean
Interest in blogging and related activities.

books boolean
Purchases of books and interest in reading.

business boolean
Interest in business.

charitable_donors boolean
Indicates the likelihood of being a charitable donor.

cooking boolean
Purchases of cooking magazines and interest in cooking.

discount_shopper boolean
Interest in discount shopping and bargain hunting.

health_and_wellness boolean
Purchases of healthy lifestyle products; interest in health and wellness.

high_end_brand_buyer boolean
Purchases of high-end brand products.

home_and_garden boolean
Purchases of home and garden products.

home_improvement boolean
Purchases of home improvement products and services.

luxury_goods boolean
Purchases of luxury goods.

magazine_buyer boolean
Purchases of magazine subscriptions.

movies boolean
Interest in movies.

music boolean
Interest in music.

news_and_current_events boolean
Purchases of subscriptions for news and current events.

outdoor_and_adventure boolean
Interest in outdoor activities and adventure.

pets boolean
Interest in pets and pet-related purchases.

sports boolean
Interest in sports and sporting goods.

technology boolean
Interest in technology products and services.

travel boolean
Interest in travel.