1st Party Enrichment Data Dictionary: Identity and Attributes

PID

Persistent ID assigned to individuals identified in the Infutor Graph

Identity Keying

Up to 32-character Alphanumeric Persistent ID

HHID

A household ID is an indicator that groups individuals living in the same household

Identity Keying

Up to 96-character Alphanumeric Household ID

ADDRID

Persistent ID assigned to addresses identified in the Infutor Graph

Identity Keying

Up to 32-character Alphanumeric Address ID

FNAME

First Name of the Individual

Identity Completion

First Name

MNAME

Middle name or initial of the individual if available

Identity Completion

Middle Name

LNAME

Last name of the individual

Identity Completion

Surname

SUFFIX

The generational suffix of the individual if available

Identity Completion

II, III, IV, IX, JR, SR, V, VI, VII, VIII

ADDRESS

All address components, including House Number, Directional, Street Name, etc.

Identity Completion

Full Address

HOUSE

Physical Street Number

Identity Completion

House Number: Can contain numbers, letters and characters (- and /)

PREDIR

An address element that indicates geographic location such as N, S, E, W, NE, NW, SE, and SW that is placed to the left of (before) the street name such as E HOOVER ST.

Identity Completion

Street PreDirectional: E, N, NE, NW, S, SE, SW, W

STREET

Information found in the primary name field of the USPS ZIP+4 file that identifies the street and forms the principal component of the delivery address line. A street name can include qualifiers such as directionals (e.g., North, SE) before or after the street name and suffixes (e.g., ST, AVE). Street names can be words or numbers.

Identity Completion

Street Name, PO Box Name, RR # Box Name, or HC # Box Name

STRTYPE

An address component that qualifies the street name by type of street such as AVE (avenue), DR (drive), or RD (road). Sometimes a street may have a double suffix such as AVENUE DR.

Identity Completion

Physical Street Suffix: ST, AVE, PL, BLVD, PKWY, etc

POSTDIR

An address element that indicates geographic location such as N, S, E, W, NE, NW, SE, and SW that is placed to the right of (after) the street name or street name suffix such as BAY DR W.

Identity Completion

Street Post Direction: E, N, NE, NW, S, SE, SW, W

APTTYPE

An address element in the delivery address line that indicates an apartment, office, suite, or some other division (e.g., 102 MAIN ST STE 202)

Identity Completion

Unit Designator: APT, STE, UNIT, etc.

APTNBR

An address element in the delivery address line that indicates number of an apartment, office, suite, or some other division (e.g., 102 MAIN ST STE 202)

Identity Completion

Unit Number: Can contain numbers, letters and characters (- and /)

CITY

As listed in USPS Publication 26, Directory of Post Offices. Post Office names in excess of 28 positions have been abbreviated by USPS.

Identity Completion

City Name

STATE

Two-position alpha FIPS State code

Identity Completion

State Abbreviation: AL, FL, IL, NY, etc.

ZIP

Five-position numeric as assigned in USPS publication 65, National Zip Code Directory

Identity Completion

Zip Code: Five digit numbers only, e.g. 60614

Z4

Four-position numeric as assigned in USPS Publication 65, National Zip Code Directory

Identity Completion

Zip+4 Code: Four digit numbers only, e.g. 5392

DPC

Delivery Point Code with Check Digit

Identity Completion

Delivery Point Code with Check Digit

Z4TYPE

USPS Zip+4 Record Type

Identity Completion

Zip+4 Type:
F - Firm or company address
G - General delivery address
H - High-rise or business complex
P - PO Box address
R - Rural route address
S - Street or residential address

CRTE

Carrier Route Code

Geographic Location

Carrier Route Code

DPV

Delivery Point Validation

Geographic Location

Delivery Point Validation Code:
Y - Address DPV confirmed for both primary and (if present) secondary numbers
D - Address DPV confirmed for the primary number only, and secondary number information was missing
S - Address DPV confirmed for the primary number only, and secondary number information was present but unconfirmed
N - Both Primary and (if present) Secondary number information failed to DPV Confirm

VACANT

Designation by USPS of a vacant property

Geographic Location

Vacant:
Y - Physical Address Identified by USPS as vacant
N - Someone living at that address

MSA

A metropolitan statistical area (MSA), formerly known as a standard metropolitan statistical area (SMSA), is the formal definition of a region that consists of a city and surrounding communities that are linked by social and economic factors, as established by the U.S. Office of Management and Budget (OMB). For more information on how FIPS, MSA and CBSA are related, visit https://data.nber.org/data/cbsa-msa-fips-ssa-county-crosswalk.html

Geographic Location

4 characters

CBSA

New metropolitan and micropolitan statistical area definitions were announced by OMB on June 6, 2003, based on application of the 2000 standards with Census 2000 data. Metropolitan and Micropolitan Statistical Areas are collectively referred to as Core-Based Statistical Areas. Metropolitan statistical areas have at least one urbanized area of 50,000 or more population, plus adjacent territory that has a high degree of social and economic integration with the core as measured by commuting ties. Micropolitan statistical areas are a new set of statistical areas that have at least one urban cluster of at least 10,000 but less than 50,000 population, plus adjacent territory that has a high degree of social and economic integration with the core as measured by commuting ties. For more information on how FIPS, MSA and CBSA are related, visit https://data.nber.org/data/cbsa-msa-fips-ssa-county-crosswalk.html

Geographic Location

5 characters

STATECD

Federal Information Processing System (FIPS) Codes for States and Counties
FIPS codes are numbers which uniquely identify geographic areas. This field contains the two-digit state code, e.g. Code 01 corresponds to ALABAMA.

Geographic Location

Numeric State Code

CNTYCD

Federal Information Processing System (FIPS) Codes for States and Counties
FIPS codes are numbers which uniquely identify geographic areas. This field contains the three-digit county code, e.g. Code 003 corresponds to Baldwin County.

Geographic Location

County Code

CNTYSIZECD

A, B, C, and D counties are based on the population totals of U.S. counties and also their proximity to a metro area or anchor city. A counties are the largest U.S. counties by population, and D counties are the smallest. Counties are classified on the basis of data from the latest census, which takes place every 10 years.

Geographic Location

County Size Code:
A - Any county located in the 25 largest U.S. cities or their consolidated statistical urban areas
B - Any county not designated as an A County that has population over 150,000 or is part of a consolidated statistical area with population over 150,000
C - Any county or consolidated statistical area not designated as an A or B County that has population over 40,000
D - Any county statistical area not designated as an A, B, or C County

LATITUDE

The geometrical location north or south of the equator assigned to the address. A value in decimal degrees to an accuracy of 4 decimal places is accurate to 11.1 meters, a value of 6 decimal places is accurate 0.111 meters.

Geographic Location

Up to 6 decimal precision for non-PII version and 6 decimal precision for PII version

LONGITUDE

The geometrical location east or west of a north-south line, called the prime meridian, assigned to the address. A value in decimal degrees to an accuracy of 4 decimal places is accurate to 11.1 meters, a value of 6 decimal places is accurate 0.111 meters.

Geographic Location

Up to 6 decimal precision for non-PII version and 6 decimal precision for PII version

GEOLEVEL

The level of precision at which the Latitude and Longitude are assigned

Geographic Location

See tab - GeoLevel Precision Assignment

CENSUSTRACT

A census tract, census area, census district or meshblock is a geographic region defined for the purpose of taking a census

Geographic Location

Census Tract

CENSUSBLCK

A census block is the smallest geographic unit used by the United States Census Bureau for tabulation of 100-percent data.

Geographic Location

Census Block

IDATE

First Seen Date - the first time a phone or email was witnessed

Identity Completion

ODATE

Last Seen Date - the last time a phone or email was witnessed

Identity Completion

EMAIL1

New Appended Email Address

Identity

Identity Completion

100 Characters

EMAIL1_CONFIDENCE_CODE

Telephone confidence score Possible values 1-5. 1 is highest confidence, 5 is lowest. 4’s are considered possible Disconnects, 5’s are likely disconnects. Typically PHV 1-3 records are considered high confidence records.

Identity

Identity Completion

EMAIL2

Second New Appended Email Address

Identity

Identity Completion

100 Characters

EMAIL2_CONFIDENCE_CODE

Telephone confidence score Possible values 1-5. 1 is highest confidence, 5 is lowest. 4’s are considered possible Disconnects, 5’s are likely disconnects. Typically PHV 1-3 records are considered high confidence records.

Identity

Identity Completion

EMAIL3

Third New Appended Email Address

Identity

Identity Completion

100 Characters

EMAIL3_CONFIDENCE_CODE

Telephone confidence score Possible values 1-5. 1 is highest confidence, 5 is lowest. 4’s are considered possible Disconnects, 5’s are likely disconnects. Typically PHV 1-3 records are considered high confidence records.

Identity

Identity Completion

EMAIL4

Fourth New Appended Email Address

Identity

Identity Completion

100 Characters

EMAIL4_CONFIDENCE_CODE

Telephone confidence score Possible values 1-5. 1 is highest confidence, 5 is lowest. 4’s are considered possible Disconnects, 5’s are likely disconnects. Typically PHV 1-3 records are considered high confidence records.

Identity

Identity Completion

EMAIL5

Fifth New Appended Email Address

Identity

Identity Completion

100 Characters

EMAIL5_CONFIDENCE_CODE

Telephone confidence score Possible values 1-5. 1 is highest confidence, 5 is lowest. 4’s are considered possible Disconnects, 5’s are likely disconnects. Typically PHV 1-3 records are considered high confidence records.

Identity

Identity Completion

PHONE1

Phone #1 - includes private, unpublished landline, VOIP and wireless phone numbers

Identity Completion

PHONE1_TYPE

Probable Phone Type:
L - Land Line
V - VOIP
W - Wireless

Identity Completion

PHONE1_CONFIDENCE_CODE

H = High Level of Confidence
M = Medium Level of Confidence (includes household phones)

Identity Completion

PHONE2

Phone #2 - includes private, unpublished landline, VOIP and wireless phone numbers

Identity Completion

PHONE2_TYPE

Probable Phone Type:
L - Land Line
V - VOIP
W - Wireless

Identity Completion

PHONE2_CONFIDENCE_CODE

H = High Level of Confidence
M = Medium Level of Confidence (includes household phones)

Identity Completion

PHONE3

Phone #3 - includes private, unpublished landline, VOIP and wireless phone numbers

Identity Completion

PHONE3_TYPE

Probable Phone Type:
L - Land Line
V - VOIP
W - Wireless

Identity Completion

PHONE3_CONFIDENCE_CODE

H = High Level of Confidence
M = Medium Level of Confidence (includes household phones)

Identity Completion

GENDER

The gender of an individual is typically gathered from self-reported or public information sources, or can be assigned based on the individuals name and/or title. In cases where the individual's first name and title are unknown/ambiguous and no additional sources reflect gender, the gender will be coded as NULL

Core Demographics

Gender Code:
M - Male
F - Female

AGE

Adult Estimated Age is calculated from date of birth data. Age data is applied at the individual level and is compiled from a variety of sources that may include public data, buying activities, and self-reported information. This is a calculation of age based on the individual's year of birth. The calculation is current year minus the YOB.

Core Demographics

Estimated Age: 18-99

DOB

The known month and Year of birth of the individual and date where availabe; in some cases where the birth month is unknown, this field value may contain only the 4 digit birth year. The Adult Date of Birth select will identify members of the household that meet the given birth date criteria. Dates must be entered for the birth month and year. Age data is applied at the individual level and is compiled from a variety of sources that may include public data, buying activities, and self-reported information. Exact age data is considered sensitive in nature and may require contractual restrictions.

Core Demographics

Date of Birth: 6-digit DOB (YYYYMM) or 4-digit DOB (YYYY)

LOR

Length of residence indicates the probable number of years an individual/household has been located at current address. Data comes from multiple sources including real estate data, public records and self-reported sources.

Household Demographics

Length of Residence:
00-15 Based on length of residence of the household at the same address
Individual household LOR values range from 0, indicating less than 1 year, to 15, indicating 15 or more years.

HOMEOWNERCD

Homeowner and renter status identifies if the occupant of the residence is the homeowner or a renter. Data comes from multiple sources including property deed records from County Assessors or County Recorders, new home sales transaction data, and self-reported survey data.

Household Demographics

Homeowner Codes:
H - Homeowner is a deterministic value of known homeowners as recorded by property deed records and recorded home sales
R - Renter is a deterministic value of known households living in properties that are not currently occupied by the homeowner. Data is sourced from property deed records and recorded home sales data.
O - Probable Homeowner is a probabilistic value identifying medium-level confidence of a homeowner status. Data is based on a combination of survey data signals indicating a likely homeowner status.
P - Probable Renter is a probabilistic value identifying medium-level confidence of a renter status. Data is based on a combination of survey data signals indicating a likely renter status.
U - Unknown are records with no data signals to indicate a homeowner or renter status and are assigned as likely to be low-confidence renters. Previous versions recorded assigned these records as NULL.

EHI_V2

Estimated household income level is a model that takes into consideration 80+ model predicators across a diverse set of info including demographics, transactional & behavioral data, property ownership and mortgages, vehicle ownership and geo-demographics. The data originates from a range of deterministic and probalistic data sources such as county assessor records, self-reported information (e.g. surveys), Census demographics, and many more. EHI_V2 field, released in June 2023, replacing EHI - Field #50.

Household Demographics

Estimated Household Income:
A - Less than $20,000
B - $20,000-$29,999
C - $30,000-$39,999
D - $40,000-$49,999
E - $50,000-$59,999
F - $60,000-$74,999
G - $75,000-$99,999
H - $100,000-$124,999
I - $125,000-$149,999
J - $150,000-$199,999
K - $200,000-$249,999
L - $250,000-$499,999 M - $500,000+

OCCUPATIONCD_V2

Derived from self-reported data and/or state license bureau data indicating an individual's occupation. OCCUPATIONCD_V2 field, released in June 2023, replacing OCCUPATIONCD

Household Demographics

1 character: A - Z, 1 - 5

DWELLTYPE

Dwelling Type is an indicator of the type of structure at a given address. Single Family Dwelling Unit (SFDU) indicates that one household resides in the structure. Multiple Family Dwelling Unit (MFDU) is one where more than one household is present in the building.

Household Demographics

Dwelling Type:
S - Single
M - Multi

MARRIEDCD

The Marital Status select indicates if member of the household is likely to be married or single. Data is applied at the individual level when available.

Household Demographics

Marital Status Code:
M - Married
S - Single

SGLPARENT

Potentially single parent determined by model of known demographic information. The Single Parent Household select is used to identify households with a potentially single parent present. Data is applied at the individual level and is sourced from self-reported survey data.

Household Demographics

Modeled select based on presence of children and married selection:
Y - Single Parent

HHNBRSR

Total number of individuals in a given household whose known birth year indicates an age of 65 or greater

Household Demographics

Y - Individuals in household 65 years and older

HHNBR

Total number of adult individuals in a given household

Household Demographics

Number of adult individuals in household

SPANISHSPCD

Indicates an individual who has reported speaking Spanish in their home. Data is applied at the individual level and is sourced from self-reported survey and modeled data.

Household Demographics

Y - Speaks Spanish at Home

SOHOCD

Indicates an individual owns a small business or has a home office at this address

Household Demographics

Y - SOHO (Small Office Home Office) Indicator

VETERANCD

Compilation of signals and self reported data indicating an individual within the household has served or is serving in the armed forces

Household Demographics

Y - Veteran in Household

CREDITCARD

Indicator that an individual has used a credit card for purchases of goods and services

Household Demographics

Known use of Credit Card for purchases:
Y - Credit Card

WEALTHSCR_V2

The net worth selection is a model which predicts household net worth. It takes into consideration 60+ model predictors across a diverse set of info including demographics, transactional & behavioral data, property ownership and mortgages, vehicle ownership and geo-demographics. The data originates from a range of deterministic and probalistic data sources such as county assessor records, self-reported information (e.g. surveys), Census demographics, and many more.  WEALTHSCR_V2 field, released in March 2024, replacing WEALTHSCR - Field #59.

Household Demographics

Wealth Score:

A - $0 OR LESS

B - $1 - $24,999

C - $25,000 - $49,999

D - $50,000 - $74,999

E - $75,000 - $99,999

F - $100,000 - $149,999

G - $150,000 - $249,999

H - $250,000 - $374,999

I - $375,000 - $499,999

J - $500,000 - $749,999

K - $750,000 - $999,999

L - $1,000,000+

CHARITYDNR

Known donor to charitable causes received from self-reported and other transactional sources

Household Demographics

Y - Donor

MRKTHOMEVAL

Estimated market value of home as indicated by County Tax Assesor and deed records. The Home Market Value indicates the relative Home Market Value as compared to all of the homes within the same county. This data is applied at the address level.

Household Demographics

Estimated Home Market Value (Assessor-based Model):
A - $1,000 - $24,999
B - $25,000 - $49,999
C - $50,000 - $74,999
D - $75,000 - $99,999
E - $100,000 - $124,999
F - $125,000 - $149,999
G - $150,000 - $174,999
H - $175,000 - $199,999
I - $200,000 - $224,999
J - $225,000 - $249,999
K - $250,000 - $274,999
L - $275,000 - $299,999
M - $300,000 - $349,999
N - $350,000 - $399,999
O - $400,000 - $449,999
P - $450,000 - $499,999
Q - $500,000 - $749,999
R - $750,000 - $999,999
S - $1,000,000+

EDUCATIONCD

Education is defined as the level of education completed by the consumer. This is a probabilistic attribute based on self-reported information and surveys.

Household Demographics

Education Attainment Code:
A - Completed High School
B - Completed College
C - Completed Graduate School
D - Attended Vocational/Technical E - Some High School F - Some College

LANGUAGECD

Languages spoken by an individual as provided by self reported participants and overlays from participating source data

Household Demographics

2 characters

CHILD

The presence of children, children's age ranges and number of children selections reflects the probable presence of children under age 18 in a given household. Information is sourced from children's age and gender data which is gathered from a variety of sources that includes public records where they may be available, survey data as well as modeled Census based information.

Household Demographics

Y - Presence of Children

CHILDAGECD_6

The presence of children, children's age ranges and number of children selections reflects the probable presence of children under age 18 in a given household. Information is sourced from children's age and gender data which is gathered from a variety of sources that includes public records where they may be available, survey data as well as modeled Census based information.

Household Demographics

Presence of Children under 6

CHILDAGECD_6_10

The presence of children, children's age ranges and number of children selections reflects the probable presence of children under age 18 in a given household. Information is sourced from children's age and gender data which is gathered from a variety of sources that includes public records where they may be available, survey data as well as modeled Census based information.

Household Demographics

Presence of Children Aged 6 - 10

CHILDAGECD_11_15

The presence of children, children's age ranges and number of children selections reflects the probable presence of children under age 18 in a given household. Information is sourced from children's age and gender data which is gathered from a variety of sources that includes public records where they may be available, survey data as well as modeled Census based information.

Household Demographics

Presence of Children Aged 11 - 15

CHILDAGECD_16_17

The presence of children, children's age ranges and number of children selections reflects the probable presence of children under age 18 in a given household. Information is sourced from children's age and gender data which is gathered from a variety of sources that includes public records where they may be available, survey data as well as modeled Census based information.

Household Demographics

Presence of Children Aged 16 - 17

CHILDNBRCD

The presence of children, children's age ranges and number of children selections reflects the probable presence of children under age 18 in a given household. Information is sourced from children's age and gender data which is gathered from a variety of sources that includes public records where they may be available, survey data as well as modeled Census based information.

Household Demographics

Number of Children Code:
A - No Children
B - Less Than 3
C - 3 - 5
D - 6+

MS_ACCESSORY

Includes shoes, purses, belts, etc.

Marketshare Demographics

Values from 0 to 99

MS_APPAREL

Includes the purchase of clothing. MS_ACCESSORY, MS_KIDAPP, MS_MENAPP, and MS_WOMAPP are included in the overall MS_APPAREL variable.

Marketshare Demographics

Values from 0 to 99

MS_AUDIO

Includes purchases related to audio equipment.

Marketshare Demographics

Values from 0 to 99

MS_AUTO

Includes purchases related to Cars/Trucks

Marketshare Demographics

Values from 0 to 99

MS_AVIATION

Includes purchases of aviation related items.

Marketshare Demographics

Values from 0 to 99

MS_BARGAINS

Includes purchases of low-cost or on-sale products from catalogs, retail and websites

Marketshare Demographics

Values from 0 to 99

MS_BIBLE

Includes purchases of religious items

Marketshare Demographics

Values from 0 to 99

MS_BOATSAIL

Includes boating, sailing, canoeing, kayaking, water skiing, rafting, etc

Marketshare Demographics

Values from 0 to 99

MS_BOOKS

Number of distinct book company participants.

Marketshare Demographics

Values from 0 to 99

MS_BUSINESS

Includes business news, and/or products usually associated with running a business or a career or operating an office

Marketshare Demographics

Values from 0 to 99

MS_CAMP

Includes camping and hiking

Marketshare Demographics

Values from 0 to 99

MS_CATALOG

Number of different catalogs ordered from.

Marketshare Demographics

Values from 0 to 99

MS_COLLECTIBLES

Includes dolls, coins, stamps, stuffed animals, plates, memorabilia, etc.

Marketshare Demographics

Values from 0 to 99

MS_COMPUTERS

Includes Computers, software and computer accessories

Marketshare Demographics

Values from 0 to 99

MS_COOKING

Includes recipes, cooking utensils and food products

Marketshare Demographics

Values from 0 to 99

MS_BEAUTY

Includes purchases of Beauty & Cosmetic items

Marketshare Demographics

Values from 0 to 99

MS_CRAFTS

Includes crochet, sewing, knitting, needlepoint, quilting, jewelry, ceramics, painting, etc.

Marketshare Demographics

Values from 0 to 99

MS_CULTUREARTS

Includes art, antiques, opera, museums, the theatre, etc.

Marketshare Demographics

Values from 0 to 99

MS_CURREVENT

Includes periodicals, news magazines, websites & blogs

Marketshare Demographics

Values from 0 to 99

MS_DIY

Includes home improvements and construction, wood working, auto repair, etc.

Marketshare Demographics

Values from 0 to 99

MS_ELECTRONICS

Includes home and auto stereos, video equipment, etc. Does not include computers.

Marketshare Demographics

Values from 0 to 99

MS_EQUESTRIAN

Includes purchases related to horses/horse riding

Marketshare Demographics

Values from 0 to 99

MS_FAMILY

Includes products designed for families with children.

Marketshare Demographics

Values from 0 to 99

MS_FICTION

Include books & magazines of fiction

Marketshare Demographics

Values from 0 to 99

MS_FISHING

Include fishing paraphenalia as well as books & publications related to fishings

Marketshare Demographics

Values from 0 to 99

MS_FITNESS

Includes purchases of fitness equipment, clothing, accessories as well as subscribers to publications and books.

Marketshare Demographics

Values from 0 to 99

MS_FOOD

Includes purchases of any food item

Marketshare Demographics

Values from 0 to 99

MS_FUNDRAISING

Number of different charitable organizations to which a donation was made.

Marketshare Demographics

Values from 0 to 99

MS_GAMES

Includes computer games, traditional board games, puzzles, etc.

Marketshare Demographics

Values from 0 to 99

MS_GARDEN

Includes purchases of gardening products, plants, seeds, books etc. Also includes subscribers to gardening publications

Marketshare Demographics

Values from 0 to 99

MS_MERCHANDISE

Includes catalog items not classified under any other affinity.

Marketshare Demographics

Values from 0 to 99

MS_GIFTGIVR

Number of orders that were given as gifts.

Marketshare Demographics

Values from 0 to 99

MS_GIFTEE

Number of orders that were received as gifts.

Marketshare Demographics

Values from 0 to 99

MS_GIFTS

Includes products usually given as gifts.

Marketshare Demographics

Values from 0 to 99

MS_GOURMET

Includes upscale products, and fine foods, wines, and other expensive items.

Marketshare Demographics

Values from 0 to 99

MS_HEALTH

MS_FITNESS is included in MS_HEALTH. Also includes health related items which are not fitness

Marketshare Demographics

Values from 0 to 99

MS_HISTORY

Includes purchases of books/publications related to history

Marketshare Demographics

Values from 0 to 99

MS_HOLIDAY

Includes items related to the holidays, usually Christmas.

Marketshare Demographics

Values from 0 to 99

MS_HOMEDECR

Includes furniture as well as other home décor items such as rugs, vases, pictures etc.

Marketshare Demographics

Values from 0 to 99

MS_HOMELIV

MS_CAT_HOMELIV, MS_PUB_HOMELIV, MS_HOMEDECR, MS_PUB_HOMEDECR, MS_CAT_HOMEDECR, MS_CAT_GARDEN, MS_COOKING, MS_PUB_COOKING, MS_GARDEN, MS_PUB_GARDEN, and MS_HOUSEWARES

Marketshare Demographics

Values from 0 to 99

MS_HOUSEWARES

Includes housewares excluding large appliance purchases

Marketshare Demographics

Values from 0 to 99

MS_HUMOR

Includes comic books and strips, cartoons, comedies, etc.

Marketshare Demographics

Values from 0 to 99

MS_HUNTING

Includes purchases of all types of hunting related items (including rifles, bows etc) as well as subscribers to hunting publications

Marketshare Demographics

Values from 0 to 99

MS_INSPIRATION

Includes non-religious products, such as new age products, astrology, etc.

Marketshare Demographics

Values from 0 to 99

MS_KIDAPP

Includes all types of children's apparel

Marketshare Demographics

Values from 0 to 99

MS_MAGS

Number of distinct participating magazine titles.

Marketshare Demographics

Values from 0 to 99

MS_MENAPP

Includes all types of men's apparel

Marketshare Demographics

Values from 0 to 99

MS_MOTORCYCLES

Includes all types of motorcycles/motorcycle related products and subscriptions to motorcycle publications

Marketshare Demographics

Values from 0 to 99

MS_MUSIC

Includes music, music playing equipment, and musical instruments.

Marketshare Demographics

Values from 0 to 99

MS_MONEYMAKING

Includes moneymaking opportunities, usually of the get-rich-quick nature.

Marketshare Demographics

Values from 0 to 99

MS_OUTDOORS

MS_BOATSAIL, MS_CAMP, MS_FISHING, and MS_HUNTING are included in MS_OUTDOORS.

Marketshare Demographics

Values from 0 to 99

MS_PFIN

Includes all types of personal finance (including magazines)

Marketshare Demographics

Values from 0 to 99

MS_PETS

Includes purchase of all types of pet products including cats and dogs

Marketshare Demographics

Values from 0 to 99

MS_PHOTOPROC

Includes companies that offer film processed via the mail or the Internet.

Marketshare Demographics

Values from 0 to 99

MS_PHOTO

Includes products/magazines related to photography

Marketshare Demographics

Values from 0 to 99

MS_PUBLISH

Number of distinct publishing participants, counting individual magazines and book companies

Marketshare Demographics

Values from 0 to 99

MS_PUB_COOKING

Includes all types of cooking publications & books

Marketshare Demographics

Values from 0 to 99

MS_PUB_FAMILY

Includes all types of family/children publications & books

Marketshare Demographics

Values from 0 to 99

MS_PUB_GARDEN

Includes all types of gardening publications & books

Marketshare Demographics

Values from 0 to 99

MS_PUB_GIFTGIVR

Indicates number of magazine subscriptions given as a gift

Marketshare Demographics

Values from 0 to 99

MS_PUB_GIFTEE

Indicates number of magazine subscriptions or book orders received as a Gift.

Marketshare Demographics

Values from 0 to 99

MS_PUB_HOMEDECR

Includes all types of publications & books related to home décor and furninishings

Marketshare Demographics

Values from 0 to 99

MS_PUB_HOMELIV

Includes all types of publications & books related to home living

Marketshare Demographics

Values from 0 to 99

MS_PUB_OUTDOORS

Includes all types of publications & books related to outdoors (includes hunting, fishing, camping, hiking, some watersports)

Marketshare Demographics

Values from 0 to 99

MS_SCIENCE

Includes products, magazines & books related to science

Marketshare Demographics

Values from 0 to 99

MS_SPORTS

Includes products, magazines & books related to sports

Marketshare Demographics

Values from 0 to 99

MS_TRAVEL

Includes products, magazines & books related traveling & vacations

Marketshare Demographics

Values from 0 to 99

MS_TVMOVIES

Includes purchases of videos, subscribers to streaming services as well as magazine subscribers

Marketshare Demographics

Values from 0 to 99

MS_WILDLIFE

Includes purchasers of products related to Wildlife and the environment as well as donors & magazine subscribers

Marketshare Demographics

Values from 0 to 99

MS_WOMAN

Includes generic women’s publications.

Marketshare Demographics

Values from 0 to 99

MS_WOMAPP

Includes all types of women's apparel

Marketshare Demographics

Values from 0 to 99

MS_WOMFASH

Includes publications related to women’s fashion.

Marketshare Demographics

Values from 0 to 99

CPI_HISTORY_AMERICAN_INDEX

Interested specifically in American History, patriotic themes, and/or veteran’s issues. Included in CPI_HISTORY_INDEX.

Consumer Passion Index

Cpi American History Index: 9-0

CPI_APPAREL_INDEX

Interested in or purchasers of Apparel or fashion. Includes the CPI_APPAREL_ACCESSORIES, CPI_APPAREL_KIDS, CPI_APPAREL_MEN, CPI_APPAREL_MENFASH, CPI_APPAREL_WOMEN, CPI_APPAREL_WOMFASH indices below.

Consumer Passion Index

Cpi Apparel Index: 9-0

CPI_APPAREL_ACCESSORY_INDEX

Interested in or purchaseres of shoes, purses, belts, etc. Included in CPI_APPAREL_INDEX.

Consumer Passion Index

Cpi Apparel/Accessories Index: 9-0

CPI_APPAREL_KIDS_INDEX

Interested in or purchasers of children’s apparel via direct marketing channels. Included in CPI_APPAREL_INDEX.

Consumer Passion Index

Cpi Apparel/Children's Apparel Index: 9-0

CPI_APPAREL_MEN_INDEX

Interested in or purchasers of men’s apparel . Included in CPI_APPAREL_INDEX.

Consumer Passion Index

Cpi Apparel/Men's Apparel Index: 9-0

CPI_APPAREL_MENFASH_INDEX

Interested in or purchasers of men’s fashion. Included in CPI_APPAREL_INDEX.

Consumer Passion Index

Cpi Apparel/Mens Fashion Index: 9-0

CPI_APPAREL_WOMEN_INDEX

Interested in or purchasers of women’s apparel via direct marketing channels. Included in CPI_APPAREL_INDEX.

Consumer Passion Index

Cpi Apparel/Women's Apparel Index: 9-0

CPI_APPAREL_WOMFASH_INDEX

Interested in or purchasers of women’s fashion. Included in CPI_APPAREL_INDEX.

Consumer Passion Index

Cpi Apparel/Womens Fashion Index: 9-0

CPI_INSURANCE_AUTO_INDEX

Interested in purchasing Automobile Insurance

Consumer Passion Index

Cpi Auto Insurance: 9-0

CPI_AUTO_TRUCKS_INDEX

Interested specifically in trucks (excluding SUVs). Included in CPI_AUTO_INDEX.

Consumer Passion Index

Cpi Auto/Trucks Index: 9-0

CPI_AUTO_INDEX

Interested in anything automobile-related, such as auto parts and tools, restoration, performance, general and make/model specific enthusiast products, etc. Includes CPI_AUTO_RACING and CPI_AUTO_TRUCKS indices.

Consumer Passion Index

Cpi Automotive Index: 9-0

CPI_AVIATION_INDEX

Interested in airplanes and other things that really fly and can transport things and people. Does not include toy planes.

Consumer Passion Index

Cpi Aviation Index: 9-0

CPI_BARGAINS_INDEX

Interested in saving money, including coupons, low-cost stores and discount clubs, money-saving sales, rewards programs, auction websites, free stuff, etc. we

Consumer Passion Index

Cpi Bargain Seekers Index: 9-0

CPI_BEAUTY_INDEX

Interested in beauty-related products, including cosmetics, treatments, etc.

Consumer Passion Index

Cpi Beauty Index: 9-0

CPI_BIBLE_INDEX

Interested in religion, church-going, bible-oriented products, and the spiritual.

Consumer Passion Index

Cpi Bible/Devotional Index: 9-0

CPI_PUBLISH_BOOKS_INDEX

Known to have purchased a book via direct marketing channels. Included in CPI_PUBLISH_INDEX. Includes CPI_NONFICTION, CPI_FICTION, and CPI_SCIFI passions.

Consumer Passion Index

Cpi Book Buyer Index: 9-0

CPI_BUSINESS_INDEX

Interested in business news, career, and/or products usually associated with running a business. Includes CPI__BUSINESS_HOMEOFFICE index.

Consumer Passion Index

Cpi Business Index: 9-0

CPI_BUSINESS_HOMEOFFICE_INDEX

Indication that the person has a Home Office. Included in CPI_BUSINESS_INDEX.

Consumer Passion Index

Cpi Business/Home Office Index: 9-0

CPI_CATALOG_INDEX

Has purchased from a catalog.

Consumer Passion Index

Cpi Catalog Index: 9-0

CPI_DONOR_INDEX

Has a known history of donating to charitable causes.

Consumer Passion Index

Cpi Charitable Donor Index: 9-0

CPI_FAMILY_INDEX

Household with at least one child under 13, based on the presence of children and/or the purchase of children’s related products. Includes both CPI_FAMILY_TEEN_INDEX and CPI_FAMILY_YOUNG_INDEX.

Consumer Passion Index

Cpi Children/Family Index: 9-0

CPI_FAMILY_TEEN_INDEX

Those known to live in a family (i.e., adults and children) household with at least one teenager, based on based the presence of children and/or the purchase of teen-related products. Included in CPI_FAMILY_INDEX.

Consumer Passion Index

Cpi Children/Family Teen Index: 9-0

CPI_FAMILY_YOUNG_INDEX

Those known to live in a family (i.e., adults and children) household with at least one child under , based on the presence of children and/or the purchase of younger children’s related products. Included in CPI_FAMILY_INDEX.

Consumer Passion Index

Cpi Children/Family Young Index: 9-0

CPI_COLLECTIBLES_INDEX

Interested in collectibles, including dolls, coins, stamps, stuffed animals, plates, memorabilia, etc.

Consumer Passion Index

Cpi Collectibles Index: 9-0

CPI_COLLEGE_INDEX

Interested in colleges and universities as an alumni.

Consumer Passion Index

Cpi College Index: 9-0

CPI_COMPUTERS_INDEX

Interested in computers and products used with computers.

Consumer Passion Index

Cpi Computers Index: 9-0

CPI_CONTINUITY_INDEX

Purchased a product offered via continuity.

Consumer Passion Index

Cpi Continuity Buyer Index: 9-0

CPI_COOKING_INDEX

Interested in cooking, baking, and all things culinary, including recipes and cooking equipment. Included in CPI_HOMELIV_INDEX.

Consumer Passion Index

Cpi Cooking Index: 9-0

CPI_CRAFTS_INDEX

Covers all crafts, including crochet, sewing, knitting, needlepoint, quilting, jewelry, ceramics, painting, etc. Includes the CPI_CRAFTS_CROCHET, CPI_CRAFTS_KNIT, CPI_CRAFTS_NEEDLEPOINT, CPI_CRAFTS_QUILT, CPI_CRAFTS_SEW passions listed below.

Consumer Passion Index

Cpi Crafts Index: 9-0

CPI_CRAFTS_CROCHET_INDEX

Interested in crocheting. Included in CPI_CRAFTS Index

Consumer Passion Index

Cpi Crafts/Crochet Index: 9-0

CPI_CRAFTS_KNIT_INDEX

Interested in knititing. Included in CPI_CRAFTS Index

Consumer Passion Index

Cpi Crafts/Knitting Index: 9-0

CPI_CRAFTS_NEEDLEPOINT_INDEX

Interested in needlepoint. Included in CPI_CRAFTS Index

Consumer Passion Index

Cpi Crafts/Needlepoint Index: 9-0

CPI_CRAFTS_QUILT_INDEX

Interested in quilting. Included in CPI_CRAFTS Index

Consumer Passion Index

Cpi Crafts/Quilting Index: 9-0

CPI_CRAFTS_SEW_INDEX

Interested in the sewing craft. Included in CPI_CRAFTS_INDEX.

Consumer Passion Index

Cpi Crafts/Sewing Index: 9-0

CPI_CC_INDEX

Has used a credit card to make a purchase

Consumer Passion Index

Cpi Credit Card User Index: 9-0

CPI_CREDIT_REPAIR_INDEX

Interested in repairing their credit

Consumer Passion Index

Cpi Credit Repair: 9-0

CPI_CREDIT_REPORT_INDEX

Have purchased or obtained a copy of their credit report

Consumer Passion Index

Cpi Credit Report: 9-0

CPI_CULTUREARTS_INDEX

Interested in culture and the arts, including art, antiques, opera, museums, the theatre, etc.

Consumer Passion Index

Cpi Culture/Arts Index: 9-0

CPI_CURREVENT_INDEX

Interested in the news and politics.

Consumer Passion Index

Cpi Current Events Index: 9-0

CPI_DIY_INDEX

Interested in Do It Yourself projects, including home improvements and construction, wood working, auto repair, etc.

Consumer Passion Index

Cpi Do It Yourself Index: 9-0

CPI_EDUCATION_SEEKERS_INDEX

Interested in furthering their education including online schools, brick and mortar schools and trade schools

Consumer Passion Index

Cpi Education Seekers: 9-0

CPI_ELECTRONICS_INDEX

Interested in electronics, such as home and auto stereos, video equipment, etc. Does not include computers.

Consumer Passion Index

Cpi Electronics Index: 9-0

CPI_FICTION_INDEX

Interested in fiction books. Included in CPI_PUBLISH_INDEX and CPI_PUBLISH_BOOKS_INDEX.

Consumer Passion Index

Cpi Fiction Index: 9-0

CPI_GAMBLING_INDEX

Interested in games of chance, including casino gambling and lotteries.

Consumer Passion Index

Cpi Gambling Index: 9-0

CPI_GAMES_INDEX

Interested in a variety of games, including computer games, traditional board games, puzzles, etc.

Consumer Passion Index

Cpi Games Index: 9-0

CPI_GARDENING_INDEX

Interested in gardening and plants, both indoors and outdoors, decorative and edible. Included in CPI_HOMELIV_INDEX.

Consumer Passion Index

Cpi Gardening/Flowers Index: 9-0

CPI_GIFTGIVR_INDEX

Has been known to purchase gifts for others via a direct marketing channel.

Consumer Passion Index

Cpi Gift Giver Index: 9-0

CPI_GOURMET_INDEX

Interested in gourmet and upscale products, such as fine foods, wines, and other expensive items.

Consumer Passion Index

Cpi Gourmet Foods/Cooking Index: 9-0

CPI_HEALTH_INDEX

Interested in one’s health and/or self-improvement. Includes HEALTH_DIET and HEALTH_FITNESS indices below.

Consumer Passion Index

Cpi Health Index: 9-0

CPI_INSURANCE_HEALTH_INDEX

Interested in purchasing Health Insurance

Consumer Passion Index

Cpi Health Insurance: 9-0

CPI_HEALTH_DIET_INDEX

Interested in weight control or losing weight. Included in CPI_HEALTH_INDEX.

Consumer Passion Index

Cpi Health/Diet Index: 9-0

CPI_HEALTH_FITNESS_INDEX

Interested in physical fitness and exercise, including running, biking, walking, weight lifting, aerobics, etc. Included in CPI_HEALTH_INDEX.

Consumer Passion Index

Cpi Health/Fitness & Exercise Index: 9-0

CPI_HIGHTECH_INDEX

Interested in new and/or relatively rare high technology electronic products, such as HDTV’s, digital video cameras, digital video recorders, satellite radio, pagers, home fax machines, plasma TVs, etc. This is a moving target as products become more accepted and as new products are invented.

Consumer Passion Index

Cpi High Tech Enthusiast Index: 9-0

CPI_HISPANIC_INDEX

Race indicated as Hispanic, speaks Spanish, and/or interested in Hispanic-oriented products.

Consumer Passion Index

Cpi Hispanic Index: 9-0

CPI_HISTORY_INDEX

Interested in History. Includes CPI_HISTORY_AMERICAN index.

Consumer Passion Index

Cpi History Index: 9-0

CPI_HOBBIES_INDEX

Interested in unspecified hobbies or in various hobbies not included in other passions.

Consumer Passion Index

Cpi Hobbies Index: 9-0

CPI_HOMEDECR_INDEX

Interested in Home Decorating, such as furnishings, wall and window treatments, layouts, etc. Included in CPI_HOMELIV_INDEX.

Consumer Passion Index

Cpi Home Decorating/Furnishings Index: 9-0

CPI_HOMELIV_INDEX

Interested in things related to the home. These include the CPI_COOKING, CPI_GARDENING, and CPI_HOMEDECR passions listed below, but also include house wares, linens, and the like.

Consumer Passion Index

Cpi Home Living Index: 9-0

CPI_EQUESTRIAN_INDEX

Interested in horses and riding.

Consumer Passion Index

Cpi Horses Index: 9-0

CPI_INSPIRATION_INDEX

Interested in non-religious inspiration, including new age products, astrology, etc.

Consumer Passion Index

Cpi Inspirational Index: 9-0

CPI_INSURANCE_INDEX

Interested in purchasing insurance (includes Life, Health & Auto)

Consumer Passion Index

Cpi Insurance: 9-0

CPI_INTERNET_ACCESS_INDEX

Known only to have internet access; does not necessarily include an internet purchase. Included in CPI_INTERNET_INDEX.

Consumer Passion Index

Cpi Internet Access Index: 9-0

CPI_INTERNET_BUY_INDEX

Known to have purchased a product via the internet. Included in CPI_INTERNET_INDEX.

Consumer Passion Index

Cpi Internet Buyer Index: 9-0

CPI_INTERNET_INDEX

Known to be on the internet. Includes the INTERNET_ACCESS and INTERNET_BUY passions.

Consumer Passion Index

Cpi Internet Index: 9-0

CPI_JOB_SEEKERS_INDEX

Users of online job searching sites

Consumer Passion Index

Cpi Job Seekers: 9-0

CPI_PUBLISH_MAGS_INDEX

Known to have purchased a magazine via direct marketing channels. Included in CPI_PUBLISH_INDEX.

Consumer Passion Index

Cpi Magazine Subscriber Index: 9-0

CPI_PUBLISH_INDEX

Known to have purchased a book or magazine via direct marketing channels. Includes CPI_PUBLISH_MAGS and CPI_PUBLISH_BOOKS passions.

Consumer Passion Index

Cpi Magazine/Book Buyer Index: 9-0

CPI_MOBILE_APPS_INDEX

Have purchased a ring tone or app for a mobile device

Consumer Passion Index

Cpi Mobile Apps/Ringtones: 9-0

CPI_MOTORCYCLES_INDEX

Interested in motorcycles and ATVs.

Consumer Passion Index

Cpi Motorcycles Index: 9-0

CPI_MUSIC_INDEX

Interested in music and/or music playing equipment.

Consumer Passion Index

Cpi Music Index: 9-0

CPI_NONFICTION_INDEX

Interested in non-fiction books. Included in CPI_PUBLISH_INDEX and CPI_PUBLISH_BOOKS_INDEX.

Consumer Passion Index

Cpi Nonfiction Index: 9-0

CPI_MONEYMAKING_INDEX

Interested in moneymaking opportunities, usually of the get-rich- quick nature.

Consumer Passion Index

Cpi Op Seekers Index: 9-0

CPI_OUTDOORS_INDEX

Interested in outdoor, sportsman-type activities. Includes the CPI_OUTDOORS_BOATSAIL, CPI_OUTDOORS_CAMP, CPI_OUTDOORS_FISHING, CPI_OUTDOORS_HUNTING, and CPI_OUTDOORS_HUNTFISH passions listed below.

Consumer Passion Index

Cpi Outdoor Sports Index: 9-0

CPI_OUTDOORS_BOATSAIL_INDEX

Interested in boating, sailing, canoeing, kayaking, water skiing, rafting, etc. Included in CPI_OUTDOORS_INDEX.

Consumer Passion Index

Cpi Outdoors/Boating & Sailing Index: 9-0

CPI_OUTDOORS_CAMP_INDEX

Interested in camping, hiking, climbing, etc. Included in CPI_OUTDOORS_INDEX.

Consumer Passion Index

Cpi Outdoors/Camping & Hiking Index: 9-0

CPI_OUTDOORS_FISHING_INDEX

Interested specifically in fishing, saltwater and/or freshwater. Included in CPI_OUTDOORS_INDEX.

Consumer Passion Index

Cpi Outdoors/Fishing Index: 9-0

CPI_OUTDOORS_HUNTING_INDEX

Interested specifically in hunting or guns. Included in CPI_OUTDOORS_INDEX.

Consumer Passion Index

Cpi Outdoors/Hunting Index: 9-0

CPI_OUTDOORS_HUNTFISH_INDEX

Interested in hunting and/or fishing. Source data covers both (general sportsman activities), not specific to one or the other. Included in CPI_OUTDOORS_INDEX.

Consumer Passion Index

Cpi Outdoors/Hunting Or Fishing Index: 9-0

CPI_PFIN_INDEX

Interested in personal finance, investments, retirement planning, etc.

Consumer Passion Index

Cpi Personal Finance Index: 9-0

CPI_EGO_INDEX

Interested in personalized products, such as monograms.

Consumer Passion Index

Cpi Personalized Index: 9-0

CPI_PETS_INDEX

Interested in or an owner of pets, mostly dogs and cat. Includes the CPI_PETS_CATS and CPI_PETS_DOGS passions below.

Consumer Passion Index

Cpi Pets Index: 9-0

CPI_PETS_CATS_INDEX

Interested in or an owner of cats. Included in CPI_PETS_INDEX.

Consumer Passion Index

Cpi Pets/Cats Index: 9-0

CPI_PETS_DOGS_INDEX

Interested in or an owner of dogs. Included in CPI_PETS_INDEX.

Consumer Passion Index

Cpi Pets/Dogs Index: 9-0

CPI_PHOTOPROC_INDEX

Known to have had film processed via the mail or the internet.

Consumer Passion Index

Cpi Photo Processing Index: 9-0

CPI_PHOTOG_INDEX

Interested in photography.

Consumer Passion Index

Cpi Photography Index: 9-0

CPI_CONSERVATIVE_INDEX

Expressed a preference for a conservative political point of view or party.

Consumer Passion Index

Cpi Politically Conservative Index: 9-0

CPI_LIBERAL_INDEX

Expressed a preference for a liberal political point of view or party.

Consumer Passion Index

Cpi Politically Liberal Index: 9-0

CPI_SOCIAL_NETWORKING_INDEX

Users of online social networking services such as Facebook, Twitter etc.

Consumer Passion Index

Cpi Social Networking: 9-0

CPI_SPORTS_INDEX

Interested in sports, mostly spectator and/or paraphernalia purchaser, but includes participation. Includes the CPI_SPORTS_BASEBALL, CPI_SPORTS_BASKETBALL, CPI_SPORTS_FOOTBALL, CPI_SPORTS_GOLF, CPI_SPORTS_HOCKEY, CPI_SPORTS_SKIING, CPI_SPORTS_SOCCER and CPI_SPORTS_TENNIS passions below.

Consumer Passion Index

Cpi Sports Index: 9-0

CPI_SPORTS_BASEBALL_INDEX

Interested in the specific sport of Baseball as a spectator, paraphernalia purchaser and/or participant.

Consumer Passion Index

Cpi Sports/Baseball Index: 9-0

CPI_SPORTS_BASKETBALL_INDEX

Interested in Basketball

Consumer Passion Index

Cpi Sports/Basketball Index: 9-0

CPI_SPORTS_BIKING_INDEX

Interested in Biking

Consumer Passion Index

Cpi Sports/Biking Index: 9-0

CPI_SPORTS_FOOTBALL_INDEX

Interested in Football

Consumer Passion Index

Cpi Sports/Football Index: 9-0

CPI_SPORTS_GOLF_INDEX

Interested in Golf

Consumer Passion Index

Cpi Sports/Golf Index: 9-0

CPI_SPORTS_HOCKEY_INDEX

Interested in Hockey

Consumer Passion Index

Cpi Sports/Hockey Index: 9-0

CPI_SPORTS_RUNNING_INDEX

Interested in Running

Consumer Passion Index

Cpi Sports/Running Index: 9-0

CPI_SPORTS_SKI_INDEX

Interested in Skiing

Consumer Passion Index

Cpi Sports/Ski Index: 9-0

CPI_SPORTS_SOCCER_INDEX

Interested in Soccer

Consumer Passion Index

Cpi Sports/Soccer Index: 9-0

CPI_SPORTS_SWIMMING_INDEX

Interested in Swimming

Consumer Passion Index

Cpi Sports/Swimming Index: 9-0

CPI_SPORTS_TENNIS_INDEX

Interested in Tennis

Consumer Passion Index

Cpi Sports/Tennis Index: 9-0

CPI_SWEEPS_INDEX

Interested in offers utilizing sweepstakes.

Consumer Passion Index

Cpi Sweepstakes Index: 9-0

CPI_TRAVEL_INDEX

Interested in traveling. Includes the CPI_TRAVEL_CRUISE, CPI_TRAVEL_RV and CPI_TRAVEL_US passions.

Consumer Passion Index

Cpi Travel Index: 9-0

CPI_TRAVEL_CRUISE_INDEX

Interested in boat cruises. Included in CPI_TRAVEL_INDEX.

Consumer Passion Index

Cpi Travel/Cruises Index: 9-0

CPI_TRAVEL_RV_INDEX

Interested in recreational vehicles or known to own one. Included in CPI_TRAVEL_INDEX.

Consumer Passion Index

Cpi Travel/Recr Vehicles Index: 9-0

CPI_TRAVEL_US_INDEX

Interested in travel within the US. Included in CPI_TRAVEL_INDEX.

Consumer Passion Index

Cpi Travel/Us Index: 9-0

CPI_TVMOVIES_INDEX

Interested in television, movies, videos, DVDs, etc.

Consumer Passion Index

Cpi Tv/Movies/Video Index: 9-0

CPI_WILDLIFE_INDEX

Interested in the environment and/or wildlife.

Consumer Passion Index

Cpi Wildlife/Environment Index: 9-0

HHCLSTRDCD

Precisely segment and deliver targeted communications at the household level with similar demographics, behaviors, attitudes, preferences, buying habits and media consumption.

Connex Segmentation Clusters

Connex Household Clusters

NEIGHBORHOOD_CLSTRDCD

Drive geo-based audience segmentation strategies that maximize your marketing budget when household-level targeting is not an option.

Connex Segmentation Clusters

Connex Neighborhood Clusters

FMCLSTRDCD

Ideal for higher-level strategic segmentation and understanding of larger customer groups including categorizing household-level clusters into a broad category of similar audience segments.

Connex Segmentation Clusters

Connex Family Clusters

MESSAGING_CLSTRDCD

Ideal for increasing the relevance of offers by tailoring the message to the unique profile of differing customer and prospect segments.

Connex Segmentation Clusters

Connex Messaging Clusters

DIGITALCLSTRDCD

Target consumers based on their online social media and mobile behaviors, preferences and buying habits.

Connex Segmentation Clusters

Connex Digital Clusters

GENERATION_CLSTRDCD

Ideal for reaching consumers at specific life stages, as well as for marketing strategies that align with generational attitudes and experiences.

Connex Segmentation Clusters

Connex Generation Clusters

GENERATION_GRPCD

Groupings of Generation Clusters into defined categories for Millenials, Generation X, etc.

Connex Segmentation Clusters

Connex Generation Groups

LIFESTG_CLSTRD

Develop messaging strategies based on significant milestones in consumers' lives including career, marriage, children, retirement, and more.

Connex Segmentation Clusters

Connex Life Stage Clusters

LIFESTG_GRPCD

Groupings of Life Stage Clusters into higher level categories including Young, Younger-Middle Age, Older-Middle Age, and Mature

Connex Segmentation Clusters

Connex Life Stage Groups

CT_MEDIA_HEAVYUSAGE_MAGAZINE

Y - Frequent reader of magazines

Connex Targets

1 character: Y

CT_MEDIA_HEAVYUSAGE_NEWSPAPER

Y - Frequent reader of newspapers

Connex Targets

1 character: Y

CT_MEDIA_HEAVYUSAGE_RADIO

Y - Frequent listener to radio

Connex Targets

1 character: Y

CT_MEDIA_HEAVYUSAGE_PTRADIO

Y - Frequent listener to radio primetime

Connex Targets

1 character: Y

CT_MEDIA_HEAVYUSAGE_TV

Y - Frequent watcher of television

Connex Targets

1 character: Y

CT_MEDIA_HEAVYUSAGE_INTERNET

Y - Frequent user of internet

Connex Targets

1 character: Y

CT_MEDIA_HEAVYUSAGE_ODRMDA

Y - Frequent reader of outdoor media

Connex Targets

1 character: Y

CT_SOCIALUSAGE30_FB

Y - Facebook Social media, photo or video-sharing services visited or used in the last 30 days

Connex Targets

1 character: Y

CT_SOCIALUSAGE30_INSTA

Y - Instagram Social media, photo or video-sharing services visited or used in the last 30 days

Connex Targets

1 character: Y

CT_SOCIALUSAGE30_LNKIN

Y - Linkedin Social media, photo or video-sharing services visited or used in the last 30 days

Connex Targets

1 character: Y

CT_SOCIALUSAGE30_PINT

Y - Pinterest Social media, photo or video-sharing services visited or used in the last 30 days

Connex Targets

1 character: Y

CT_SOCIALUSAGE30_TWITTER

Y - Twitter Social media, photo or video-sharing services visited or used in the last 30 days

Connex Targets

1 character: Y

CT_SOCIALUSAGE30_YOUTUBE

Y - Youtube Social media, photo or video-sharing services visited or used in the last 30 days

Connex Targets

1 character: Y

CT_STRMSUB_PRIME

Y - Subscribes to Prime Video for streaming video services

Connex Targets

1 character: Y

CT_STRMSUB_HULU

Y - Subscribes to Hulu for streaming video services

Connex Targets

1 character: Y

CT_STRMSUB_NETFLIX

Y - Subscribes to Netflix for streaming video services

Connex Targets

1 character: Y

CT_SMRTPHN_TYPEOWNS_ANDROID

Y - Owns an Android smartphone (any brand)

Connex Targets

1 character: Y

CT_SMRTPHN_TYPEOWNS_IPHONE

Y - Owns an Apple iPhone smartphone

Connex Targets

1 character: Y

CT_HOMEIMPROVE12_ANY

Y - Made improvements to home

Connex Targets

1 character: Y

CT_HOMEREMODEL12_ANY

Y - Home Remodeling - Summary: Any: In last 12 months

Connex Targets

1 character: Y

CT_POLITICAL_PARTYAFF_DEMOCRAT

Y - Democratic political affiliation

Connex Targets

1 character: Y

CT_POLITICAL_PARTYAFF_GOP

Y - Republican political affiliation

Connex Targets

1 character: Y

CT_POLITICAL_PARTYAFF_IND

Y - Independent/no party affiliation

Connex Targets

1 character: Y

CT_POLITICAL_OUTLK_VCONSERV

Y - Political outlook is very conservative

Connex Targets

1 character: Y

CT_POLITICAL_OUTLK_SWCONSERV

Y - Political outlook is somewhat conservative

Connex Targets

1 character: Y

CT_POLITICAL_OUTLK_MID

Y - Political outlook is middle of the road

Connex Targets

1 character: Y

CT_POLITICAL_OUTLK_SWLIBERAL

Y - Political outlook is very liberal

Connex Targets

1 character: Y

CT_POLITICAL_OUTLK_VLIBERAL

Y - Political outlook is somewhat liberal

Connex Targets

1 character: Y

CT_ONLINESHOPSEG_OFFLINE

Y - Online Shoppers Segments: Offline-Only Shoppers

Connex Targets

1 character: Y

CT_ONLINESHOPSEG_TRAD

Y - Online Shoppers Segments: Traditional Consumers

Connex Targets

1 character: Y

CT_ONLINESHOPSEG_STRAITFWD

Y - Online Shoppers Segments: Straightforward Shoppers

Connex Targets

1 character: Y

CT_ONLINESHOPSEG_DEALSEEK

Y - Online Shoppers Segments: Passionate Deal Seekers

Connex Targets

1 character: Y

CT_ONLINESHOPSEG_QUALSEEK

Y - Online Shoppers Segments: Active Quality Seekers

Connex Targets

1 character: Y

CT_TECHTUDESEG_PHOBES

Y - Technology Attitude Segments: Techno-Phobes

Connex Targets

1 character: Y

CT_TECHTUDESEG_LAGGRDS

Y - Technology Attitude Segments: Techno-Laggards

Connex Targets

1 character: Y

CT_TECHTUDESEG_XPLOIT

Y - Technology Attitude Segments: Tech-Sploiters

Connex Targets

1 character: Y

CT_TECHTUDESEG_GAMER

Y - Technology Attitude Segments: Techno-Gamers

Connex Targets

1 character: Y

CT_TECHTUDESEG_THUSIAST

Y - Technology Attitude Segments: Tech-Thusiasts

Connex Targets

1 character: Y

CT_TECHTUDESEG_XPLOR

Y - Technology Attitude Segments: Tech-Splorers

Connex Targets

1 character: Y

CT_DNR_CONTRIB_PBS

Y - Contributed to Public Broadcasting Service (PBS)

Connex Targets

1 character: Y

CT_DNR_CONTRIB_NPR

Y - Contributed to National Public Radio (NPR)

Connex Targets

1 character: Y

CT_DNR_CONTRIB_RELIGIOUS

Y - Contributed to religious organization(s)

Connex Targets

1 character: Y

CT_DNR_CONTRIB_ARTS

Y - Contributed to arts/cultural organization(s)

Connex Targets

1 character: Y

CT_DNR_CONTRIB_EDU

Y - Contributed to educational organization(s)

Connex Targets

1 character: Y

CT_DNR_CONTRIB_ENVIRO

Y - Contributed to environmental organization(s)

Connex Targets

1 character: Y

CT_DNR_CONTRIB_HEALTH

Y - Contributed to health organization(s)

Connex Targets

1 character: Y

CT_DNR_CONTRIB_POL

Y - Contributed to political organization(s)

Connex Targets

1 character: Y

CT_DNR_CONTRIB_SOCSERV

Y - Contributed to social service organization(s)

Connex Targets

1 character: Y

CT_DNR_CONTRIB_NONREL

Y - Contributed to other non-religious organization(s)

Connex Targets

1 character: Y

CT_DNR_CONTRIBAMT_HIGH

Y - Contributed $500 or more to organization(s)

Connex Targets

1 character: Y

CT_VOLUNTEER_CHTYORG

Y - Volunteered for a charitable organization

Connex Targets

1 character: Y

CENSPCT_WATER

Percentage of Water in a given zip code

Geographic Demographics

Census: Pct Water: 0-100

CENS_POP_DENSITY

Population Density per square mile in a given zip code

Geographic Demographics

Census: Pop Density

CENS_HU_DENSITY

Housing Units Density per square mile in a given zip code

Geographic Demographics

Census: Hu Density

CENSPCT_POP_WHITE

Percentage of White population in a given zip code

Geographic Demographics

Census: Pct Pop White: 0-100

CENSPCT_POP_BLACK

Percentage of Black population in a given zip code

Geographic Demographics

Census: Pct Pop Black: 0-100

CENSPCT_POP_AMERIND

Percentage of Amer Indian population in a given zip code

Geographic Demographics

Census: Pct Pop Amer Indian: 0-100

CENSPCT_POP_ASIAN

Percentage of Asian population in a given zip code

Geographic Demographics

Census: Pct Pop Asian: 0-100

CENSPCT_POP_PACISL

Percentage of Pac Islander population in a given zip code

Geographic Demographics

Census: Pct Pop Pac Islander: 0-100

CENSPCT_POP_OTHRACE

Percentage of Other Races population in a given zip code

Geographic Demographics

Census: Pct Pop Othrace: 0-100

CENSPCT_POP_MULTIRACE

Percentage of Multi Race population in a given zip code

Geographic Demographics

Census: Pct Pop Multirace: 0-100

CENSPCT_POP_HISPANIC

Percentage of Hispanic population in a given zip code

Geographic Demographics

Census: Pct Pop Hispanic: 0-100

CENSPCT_POP_AGELT18

Percentage Population Under Age 18 in a given zip code

Geographic Demographics

Census: Pct Pop Age 18: 0-100

CENSPCT_POP_MALES

Percentage Males in a given zip code

Geographic Demographics

Census: Pct Pop Males: 0-100

CENSPCT_ADULT_AGE1824

Percentage Adult Age 18-24 in a given zip code

Geographic Demographics

Census: Pct Adult Age 18-24: 0-100

CENSPCT_ADULT_AGE2534

Percentage Adult Age 25-34 in a given zip code

Geographic Demographics

Census: Pct Adult Age 25-34: 0-100

CENSPCT_ADULT_AGE3544

Percentage Adult Age 35-44 in a given zip code

Geographic Demographics

Census: Pct Adult Age 35-44: 0-100

CENSPCT_ADULT_AGE4554

Percentage Adult Age 45-54 in a given zip code

Geographic Demographics

Census: Pct Adult Age 45-54: 0-100

CENSPCT_ADULT_AGE5564

Percentage Adult Age 55-64 in a given zip code

Geographic Demographics

Census: Pct Adult Age 55-64: 0-100

CENSPCT_ADULT_AGEGE65

Percentage Adult Age 65+ in a given zip code

Geographic Demographics

Census: Pct Adult Age 65+: 0-100

CENS_POP_MEDAGE

Population Median Age in a given zip code

Geographic Demographics

Census: Pop Median Age: 0-100

CENS_HH_AVGSIZE

Average Household Size in a given zip code (not rounded to the nearest whole)

Geographic Demographics

Census: Hh Avg Size

CENSPCT_HH_FAMILY

Percentage Hh Family in a given zip code

Geographic Demographics

Census: Pct Hh Family: 0-100

CENSPCT_HH_FAMILY_HUSBWIFE

Percentage Hh Family Husband & Wife in a given zip code

Geographic Demographics

Census: Pct Hh Family Husb & Wife: 0-100

CENSPCT_HU_OCCUPIED

Percentage Housing unit Occupied in a given zip code

Geographic Demographics

Census: Pct Hu Occupied: 0-100

CENSPCT_HU_OWNED

Percentage Housing unit Owned in a given zip code

Geographic Demographics

Census: Pct Hu Owned: 0-100

CENSPCT_HU_RENTED

Percentage Housing unit Rented in a given zip code

Geographic Demographics

Census: Pct Hu Rented: 0-100

CENSPCT_HU_VACANTSEASONAL

Percentage Housing unt Vacant/Seasonal in a given zip code

Geographic Demographics

Census: Pct Hu Vacant/Seasonal: 0-100

VIN1

Vehicle Identification Number (VIN) (Vehicle 1)

Auto

MAKE1

Vehicle Make (Vehicle 1)

Auto

MODEL1

Vehicle Model (Vehicle 1)

Auto

YEAR1

Vehicle Year - YYYY

Auto

VEH_CLASS1

Vehicle Class Description:
CROSSOVER
FULL SIZE CAR
FULL SIZE SUV
FULL SIZE TRUCK
FULL SIZE VAN
MID SIZE CAR
MID SIZE TRUCK
MID SIZE SUV
MINIVAN
SMALL CAR
SMALL SUV
SMALL TRUCK

Auto

FUELTYPECD1

Vehicle Fuel Code:
B - Biodieselcolumn
D - Diesel
F - Flex-Fuel
G - Gasoline
H - Fuel Cell
I - Plug-In Electric
L - Electric/Gas
N - CNG (Compressed Natural Gas)
P - Propane
Y - Hybrid

Auto

MFGCD1

Auto Manufacturer Code:
A - Antique
C - Chrysler Products
F- Ford Products
G - GM Products
H - High end Imports
L - Low End Imports
O - Other

Auto

STYLECD1

Vehicle Style Code:
CONV
CPE2DR
CUV
HATCHBACK
LUXURY
PICKUP
SEDAN
SPORT
UTIL
VAN
WAGON

Auto

MILEAGECD1

Mileage Code:
A-Z in increments of 10,000 0-10000-A and 260,000+-Z

Auto

INFERREDDATE1

Inferred Purchase Date Code: A - 0-6 months B - 7-12 months C - 13-18 months D - 19-24 months E - 25-36 months F - 37-48 months G - 49+ months

Auto

VIN2

Vehicle Identification Number (VIN) (Vehicle 2)

Auto

MAKE2

Vehicle Make (Vehicle 2)

Auto

MODEL2

Vehicle Model (Vehicle 2)

Auto

YEAR2

Vehicle Year - YYYY

Auto

VEH_CLASS2

Vehicle Class Description:
CROSSOVER
FULL SIZE CAR
FULL SIZE SUV
FULL SIZE TRUCK
FULL SIZE VAN
MID SIZE CAR
MID SIZE TRUCK
MID SIZE SUV
MINIVAN
SMALL CAR
SMALL SUV
SMALL TRUCK

Auto

FUELTYPECD2

Vehicle Fuel Code:
B - Biodieselcolumn
D - Diesel
F - Flex-Fuel
G - Gasoline
H - Fuel Cell
I - Plug-In Electric
L - Electric/Gas
N - CNG (Compressed Natural Gas)
P - Propane
Y - Hybrid

Auto

MFGCD2

Auto Manufacturer Code:
A - Antique
C - Chrysler Products
F- Ford Products
G - GM Products
H - High end Imports
L - Low End Imports
O - Other

Auto

STYLECD2

Vehicle Style Code:
CONV
CPE2DR
CUV
HATCHBACK
LUXURY
PICKUP
SEDAN
SPORT
UTIL
VAN
WAGON

Auto

MILEAGECD2

Mileage Code:
A-Z in increments of 10,000 0-10000-A and 260,000+-Z

Auto

INFERREDDATE2

Inferred Purchase Date Code: A - 0-6 months B - 7-12 months C - 13-18 months D - 19-24 months E - 25-36 months F - 37-48 months G - 49+ months

Auto

VIN3

Vehicle Identification Number (VIN) (Vehicle 3)

Auto

MAKE3

Vehicle Make (Vehicle 3)

Auto

MODEL3

Vehicle Model (Vehicle 3)

Auto

YEAR3

Vehicle Year - YYYY

Auto

VEH_CLASS3

Vehicle Class Description:
CROSSOVER
FULL SIZE CAR
FULL SIZE SUV
FULL SIZE TRUCK
FULL SIZE VAN
MID SIZE CAR
MID SIZE TRUCK
MID SIZE SUV
MINIVAN
SMALL CAR
SMALL SUV
SMALL TRUCK

Auto

FUELTYPECD3

Vehicle Fuel Code:
B - Biodieselcolumn
D - Diesel
F - Flex-Fuel
G - Gasoline
H - Fuel Cell
I - Plug-In Electric
L - Electric/Gas
N - CNG (Compressed Natural Gas)
P - Propane
Y - Hybrid

Auto

MFGCD3

Auto Manufacturer Code:
A - Antique
C - Chrysler Products
F- Ford Products
G - GM Products
H - High end Imports
L - Low End Imports
O - Other

Auto

STYLECD3

Vehicle Style Code:
CONV
CPE2DR
CUV
HATCHBACK
LUXURY
PICKUP
SEDAN
SPORT
UTIL
VAN
WAGON

Auto

MILEAGECD3

Mileage Code:
A-Z in increments of 10,000 0-10000-A and 260,000+-Z

Auto

INFERREDDATE3

Inferred Purchase Date Code: A - 0-6 months B - 7-12 months C - 13-18 months D - 19-24 months E - 25-36 months F - 37-48 months G - 49+ months

Auto

VIN4

Vehicle Identification Number (VIN) (Vehicle 4)

Auto

MAKE4

Vehicle Make (Vehicle 4)

Auto

MODEL4

Vehicle Model (Vehicle 4)

Auto

YEAR4

Vehicle Year - YYYY

Auto

VEH_CLASS4

Vehicle Class Description:
CROSSOVER
FULL SIZE CAR
FULL SIZE SUV
FULL SIZE TRUCK
FULL SIZE VAN
MID SIZE CAR
MID SIZE TRUCK
MID SIZE SUV
MINIVAN
SMALL CAR
SMALL SUV
SMALL TRUCK

Auto

FUELTYPECD4

Vehicle Fuel Code:
B - Biodieselcolumn
D - Diesel
F - Flex-Fuel
G - Gasoline
H - Fuel Cell
I - Plug-In Electric
L - Electric/Gas
N - CNG (Compressed Natural Gas)
P - Propane
Y - Hybrid

Auto

MFGCD4

Auto Manufacturer Code:
A - Antique
C - Chrysler Products
F- Ford Products
G - GM Products
H - High end Imports
L - Low End Imports
O - Other

Auto

STYLECD4

Vehicle Style Code:
CONV
CPE2DR
CUV
HATCHBACK
LUXURY
PICKUP
SEDAN
SPORT
UTIL
VAN
WAGON

Auto

MILEAGECD4

Mileage Code:
A-Z in increments of 10,000 0-10000-A and 260,000+-Z

Auto

INFERREDDATE4

Inferred Purchase Date Code: A - 0-6 months B - 7-12 months C - 13-18 months D - 19-24 months E - 25-36 months F - 37-48 months G - 49+ months

Auto

IN_MARKET_NEW_SEGMENTS

Predicts the likelihood that a consumer is likely to purchase a new vehicle, segment-based.
1 = Very Low
2 = Low
3 = Medium
4 = High
5 = Very High (5x)

These segments are derived from the IN_MARKET_NEW_SCORE values, where
1= scores ranged 80-100
2= scores ranged 61-80
3= scores ranged 41-60
4= scores ranged 21-40
5= scores ranged 1-20

Auto Intelligence Models

IN_MARKET_NEW_SCORE

Score that predicts the likelihood that a consumer is likely to purchase a new vehicle (for machine learning algorithms), Numeric values 1-100. 1 = lowest propensity, 100 = highest propensity.

Auto Intelligence Models

IN_MARKET_USED_SEGMENTS

Predicts the likelihood that a consumer is likely to purchase a used vehicle, segment-based.
1 = Very Low
2 = Low
3 = Medium
4 = High
5 = Very High (3x)

These segments are derived from the IN_MARKET_USED_SCORE values, where
1= scores ranged 80-100
2= scores ranged 61-80
3= scores ranged 41-60
4= scores ranged 21-40
5= scores ranged 1-20

Auto Intelligence Models

IN_MARKET_USED_SCORE

Score that predicts the likelihood that a consumer is likely to purchase a used vehicle. Numeric values 1-100 (for machine learning algorithms). 1 = lowest propensity, 100 = highest propensity.

Auto Intelligence Models

CHEVROLET_AFFINITY

Score that predicts the affinity or loyalty towards the Chevrolet brand and a consumer´s dedication to purchase Chevrolet vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

DODGE_AFFINITY

Score that predicts the affinity or loyalty towards the Dodge brand and a consumer´s dedication to purchase Dodge vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

FORD_AFFINITY

Score that predicts the affinity or loyalty towards the Ford brand and a consumer´s dedication to purchase Ford vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

GMC_AFFINITY

Score that predicts the affinity or loyalty towards the GMC brand and a consumer´s dedication to purchase GMC vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

HONDA_AFFINITY

Score that predicts the affinity or loyalty towards the Honda brand and a consumer´s dedication to purchase Honda vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

HYUNDAI_AFFINITY

Score that predicts the affinity or loyalty towards the Hyundai brand and a consumer´s dedication to purchase Hyundai vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

TOYOTA_AFFINITY

Score that predicts the affinity or loyalty towards the Toyota brand and a consumer´s dedication to purchase Toyota vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

NISSAN_AFFINITY

Score that predicts the affinity or loyalty towards the Nissan brand and a consumer´s dedication to purchase Nissan vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

JEEP_AFFINITY

Score that predicts the affinity or loyalty towards the Jeep brand and a consumer´s dedication to purchase Jeep vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

CHRYSLER_AFFINITY

Score that predicts the affinity or loyalty towards the Chrysler brand and a consumer´s dedication to purchase Chrysler vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

LEXUS_AFFINITY

Score that predicts the affinity or loyalty towards the Lexus brand and a consumer´s dedication to purchase Lexus vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

CADILLAC_AFFINITY

Score that predicts the affinity or loyalty towards the Cadillac brand and a consumer´s dedication to purchase Cadillac vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

BMW_AFFINITY

Score that predicts the affinity or loyalty towards the BMW brand and a consumer´s dedication to purchase BMW vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

VOLVO_AFFINITY

Score that predicts the affinity or loyalty towards the Volvo brand and a consumer´s dedication to purchase Volvo vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

INFINITI_AFFINITY

Score that predicts the affinity or loyalty towards the Infinity brand and a consumer´s dedication to purchase Infinity vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

AUDI_AFFINITY

Score that predicts the affinity or loyalty towards the Audi brand and a consumer´s dedication to purchase Audi vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

LINCOLN_AFFINITY

Score that predicts the affinity or loyalty towards the Lincoln brand and a consumer´s dedication to purchase Lincoln vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

LANDROVER_AFFINITY

Score that predicts the affinity or loyalty towards the Land Rover brand and a consumer´s dedication to purchase Land Rover vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

MERCEDES_BENZ_AFFINITY

Score that predicts the affinity or loyalty towards the Mercedes Benz Brand and a consumer's
dedication to purchase Mercedes Benz vehicles. Numeric values 1 - 5.

1 - Very Low Affinity

2 - Low Affinity

3 - Medium Affinity

4 - High Affinity

5 - Very High Affinity

Attributes

Auto Intelligence Models

1 character: 1 - 5

TRUCK_AFFINITY

Score that predicts the affinity or loyalty towards the Truck auto style and a consumer´s dedication to purchase Trucks. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

SUV_AFFINITY

Score that predicts the affinity or loyalty towards the SUV auto style and a consumer´s dedication to purchase SUV vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

COUPE_AFFINITY

Score that predicts the affinity or loyalty towards the 2 door Coupe auto style and a consumer´s dedication to purchase Coupe vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

SEDAN_AFFINITY

Score that predicts the affinity or loyalty towards the Sedan auto style and a consumer´s dedication to purchase Sedan vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

VAN_AFFINITY

Score that predicts the affinity or loyalty towards the Van auto style and a consumer´s dedication to purchase Vans. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

HYBRID_AFFINITY

Score that predicts the affinity or loyalty towards the Hybrid auto style and a consumer´s dedication to purchase Hybrid vehicles. Numeric values 1-5.
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity

Auto Intelligence Models

PROP_OWNEROCC

Y - Property is Owner Occupied

General Property

PROP_IND

A general code used to easily recognize specific property types (e.g, Residential, Condominium, Commercial).

General Property

10 - Single Family Residence / Townhouse
11 - Condominium (residential)
20 - Commercial
21 - Duplex, Triplex, Quadplex
22 - Apartment
23 - Hotel, Motel
24 - Commercial (Condominium)
25 - Retail
26 - Service (general public)
27 - Office Building
28 - Warehouse
29 - Financial Institution
30 - Hospital (medical complex, clinic)
31 - Parking
32 - Amusement - Recreation
50 - Industrial
51 - Industrial Light
52 - Industrial Heavy
53 - Transport
54 - Utilities
70 - Agricultural
80 - Vacant
90 - Exempt

PROP_STYLE

Type of building style (e.g., Colonial, Cape Code, Bungalow).

General Property

999 - BYPASS
ADC - ART DECO
AFR - A-FRAME
AIR - AIRLITE
ANT - ANTIQUE/HISTORIC
BIL - BI-LEVEL
BUN - BUNGALOW
CAB - CABIN
CAP - CAPE COD
CEN - CENTER HALL
CHL - CHALET/ALPINE
CLU - CLUSTER
CND - CONDOMINIUM
CNT - CONTEMPORARY
COA - COACH/CARRIAGE HOUSE
COL - COLONIAL
CON - CONVENTIONAL
COV - CONVERTED SCHOOL
CTB - COTTAGE/BUNGALOW
DES - CUSTOM/DESIGNER/ESTATE
DOM - DOME
DUP - DUPLEX
EUR - EUROPEAN
FAR - FARM HOUSE
FED - FEDERALIST
FRE - FRENCH PROVINCIAL
GAM - GAMBREL/BARN
GEO - GEODESIC
GOT - GOTHIC
GRA - GARAGE APARTMENT
GRE - GREEK REVIVAL
GRG - GEORGIAN
GRS - GARRISON/FRONTIER
HRI - HIGH RISE
HSH - H-SHAPE
LOG - LOG
LRI - LOW RISE
LSH - L-SHAPE
MAN - MANSION
MDR - MODULAR/PREFAB
MED - MEDITERRANEAN
MIS - MISSION
MLF - MULTI-FAMILY
MLL - MULTI-LEVEL
MOB - MOBILE HOME
MOD - MODERN
MRI - MID RISE
NEN - NEW ENGLAND
OLD - OLD
OLE - OLD ENGLISH
PAT - PATIO-HOME
QLV - QUAD-LEVEL
QUA - QUADRAPLEX
RAM - RAMBLER
RAN - RANCH
REC - RECTANGULAR DESIGN
ROW - ROW HOUSE
RRA - RAISED RANCH
SLT - SALT BOX
SPA - SPANISH
SPF - SPLIT FOYER
SPL - SPLIT LEVEL
SQU - SQUARE DESIGN
STR - STRAIGHT THROUGH
SWN - SOUTHWESTERN
TLV - TRI-LEVEL
TPX - TRIPLEX
TRA - TRADITIONAL
TRN - TRINITY
TUD - TUDOR
TWN - TOWNHOUSE
UND - UNDERGROUND/BERM
USH - U-SHAPE
VIC - VICTORIAN
WIL - WILLIAMSBURG
WSH - W-SHAPE

PROP_MOBHOMECD

Residence is a mobile home as indicated by real estate transaction and deed records from County Assessor or County Recorder offices

General Property

Y - Mobile Home

PROP_FIREPLCD

Residence has a fireplace as indicated by real estate transaction and deed records from County Assessor or County Recorder offices

General Property

Y - Home with Fireplace

PROP_STORIESCD

Type / number of stories (e.g., Split Foyer, Tri Level, 2 Story). Please see "PROP_STORIESCD" table for code descriptions and/or click on the field name to view individual codes descriptions

General Property

PROP_QLTY

Type of construction quality of building

General Property

PROP_COND

This represents the physical condition of the building (e.g., Good, Fair, Under Construction).

General Property

PROP_CNSTRTYPE

The primary method of construction (e.g., Steel / Glass, Concrete Block, Log). Please see "PROP_CNSTRTYPE" table for code descriptions and/or click on the field name to view individual codes descriptions

General Property

PROP_EXTNW

The type and/or finish of the exterior walls (e.g., Vinyl Siding, Brick Veneer, Frame / Stone). Please see "PROP_EXTNW" table for code descriptions and/or click on the field name to view individual codes descriptions

General Property

PROP_VALCALC

The total (e.g., Land + Improvement) Value closest to current market value used for assessment by county or local taxing authorities

General Property

PROP_VAL_CALCIND

Type of values used to seed the total value calculated field:
A - Assessed
M - Market
P - Appraised
T - Transitional

General Property

PROP_IMP_VALCALC

The "IMPROVEMENT" Value closest to current market value used for assessment by county or local taxing authorities

General Property

PROP_IMP_VALCALC_IND

The "IMPROVEMENT" Value closest to current market value used for assessment by county or local taxing authorities:
A - Assessed
M - Market
P - Appraised
T - Transitional

General Property

PROP_ASSED_VAL

The Total Assessed Value of the Parcel's Land & Improvement values as provided by the county or local taxing/assessment authority

General Property

PROP_ASSED_IMPVAL

The Assessed Improvement Values as provided by the county or local taxing/assessment authority

General Property

PROP_MRKTVAL

Total Market Value of the Parcel's Land & Improvement values as provided by the county or local taxing/assessment authority

General Property

PROP_MRKT_IMPVAL

Market Improvement Values as provided by the county or local taxing/assessment authority

General Property

PROP_APPRAISED_VAL

The Total Appraised Value of the Parcel's Land & Improvement values as provided by the county or local taxing/assessment authority

General Property

PROP_APPRAISED_IMPVAL

The Appraised Improvement Values as provided by the county or local taxing/assessment authority

General Property

PROP_YRBLD

Original Year Building Construction - YYYY

General Property

PROP_EFFYRBLD

This is the first year the building was assessed with its current components (e.g., YYYY, a building is originally constructed in 1960 and a bedroom and bath was added to the building in 1974. The Year Built would be 1960 and the Effective Year Built would be 1974)

General Property

PROP_VIEW

View from building (e.g., Gulf, Mountains, Pool). Please see "PROP_VIEW " table for code descriptions and/or click on the field name to view individual codes descriptions

General Property

PROP_LCTN_INFL

Positive or negative aspects associated with the location of the parcel (e.g., waterfront, flood plane, airport). Please see "PROP_LCTN_INFL" table for code descriptions and/or click on the field name to view individual codes descriptions.

General Property

PROP_ACRES

Total land mass in Acres. (4 decimal points)Example: 13000 = 1.3 Acres

General Property

PROP_LANDSQFT

Total land mass is Square Feet

General Property

PROP_UNVBLDSQFT

The Building Square Footage that can most accurately be used for assessments or comparables (e.g., Living, Adjusted, Gross)

General Property

PROP_BLDSQFTIND

The codes appearing in this field indicate the source used to populate the UNIVERSAL BUILDING SQUARE FEET field

General Property

PROP_BLDSQFT

The size of the building in Square Feet. This field is most commonly populated as a cumulative total when a county does not differentiate between Living and Non-living areas

General Property

PROP_LIVINGSQFT

Area of a building that is used for general living. This is typically the area of a building that is heated or air conditioned and does not include Garage, Porch or Basement square footage

General Property

PROP_GROSSSQFT

Square footage for the entire building. Typically this represents all square feet under the roof

General Property

PROP_ADJGROSSSQFT

Square footage used by the county or local taxing / assessment authority to determine Improvement Value. This figure is typically 100% of the living area, plus lower percentage of non-living area

General Property

PROP_RMS

Total number of rooms contained in the primary building

General Property

PROP_BEDRMS

Total number of bedrooms contained in the primary building

General Property

PROP_BATHSCALC

Total number of Bathrooms in whole numbers (e.g., a home containing 2 1/2 baths would have the number 3 stored in this field as, three actual rooms have been designated for this purpose). (e.g., 200, 300, 400)

General Property

PROP_BATHS

Total number of Bathrooms as provided by our data sources (e.g., 4.00, 2.50, 1.75)

General Property

PROP_FULLBATHS

Total number of Full Baths (typically comprised of a sink, toilet, and bathtub / shower stall). A home containing 2 1/2 baths would have the number 2 stored in this field

General Property

PROP_AC

The type of air conditioning method used to cool the building (e.g., Central, Wall Unit, Evaporative). Please see "PROP_AC" table for code descriptions and/or click on the field name to view individual codes descriptions

General Property

PROP_FRPL

Y - Fireplace is located within the building

General Property

PROP_FND

The type of foundation (e.g., Continuous Footing, Pier, Mud Sill). Please see "PROP_FND" table for code descriptions and/or click on the field name to view individual codes descriptions

General Property

PROP_FLR

The type of floor construction (e.g., Concrete, Plywood). Please see "PROP_FLR" table for code descriptions and/or click on the field name to view individual codes descriptions

General Property

PROP_GAR

Type of garage or carport present (e.g., Attached Finished, Enclosed Carport, Basement Garage). Please see "PROP_GAR" table for code descriptions and/or click on the field name to view individual codes descriptions

General Property

PROP_HEAT

Type or method of heating (e.g., Hot Water, Heat Pump, Baseboard, Radiant). Please see "PROP_HEAT" table for code descriptions and/or click on the field name to view individual codes descriptions

General Property

PROP_POOL

Y - Pool Present in Parcel

General Property

PROP_ROOFCOVER

Type of roof covering (e.g., Clay Tile, Aluminum, Shake). Please see "PROP_ROOFCOVER" table for code descriptions and/or click on the field name to view individual codes descriptions

General Property

PROP_ROOFTYPE

Type of roof shape (e.g., Gambrel, Gable, Flat, Mansard). Please see "PROP_ROOFTYPE" table for code descriptions and/or click on the field name to view individual codes descriptions

General Property

PROP_ENERGY

Type of electricity or energy use within the building (e.g., Average Wiring, Underground Wired, Private Source). Please see "PROP_ENERGY" table for code descriptions and/or click on the field name to view individual codes descriptions

General Property

PROP_FUEL

Type of fuel used for heating of water and building (e.g., Solar, Gas, Oil). Please see "PROP_FUEL" table for code descriptions and/or click on the field name to view individual codes descriptions

General Property

PROP_SEWER

Type Of Sewer System On The Parcel

General Property

PROP_WATER

Type Of Water Service On The Parcel

General Property

PROP_HOMESTEAD

Y - Owner qualified for a Homeowner/Homestead exemption

Assess or Deed

PROP_XMTVET

If State has such an exemption and it has been granted then a flag:
Combat Vet
Veteran

Assess or Deed

PROP_XMT_DISABLED

If State has such an exemption and it has been granted then a flag:
Disabled
Blind

Assess or Deed

PROP_TAXAMT

The Total Tax amount provided by the county or local taxing/assessment authority

Assess or Deed

PROP_TAXYR

The tax or assessment year for which the taxes were billed - YYYY

Assess or Deed

PROP_SALESDEEDCD

The type of deed used to record the sales transaction

Assess or Deed

PROP_SALEDATE

Date the sales transaction was legally completed -YYYYMMDD

Assess or Deed

PROP_SALEAMT

Price of the sale as depicted on the recorded sales transaction

Assess or Deed

PROP_SALECD

Financial Consideration Code

Assess or Deed

PROP_SALESTRANSCD

This identifies situations associated with the sale

Assess or Deed

PROP_OWNERCD

The type of ownership in terms of: owners in common; joint.Please see "PROP_OWNERCD" table for code descriptions and/or click on the field name to view individual codes descriptions

Mortgage

PROP_LOANTOVAL

If provided on the note and recorded, loan to value ratio (e.g., 47,118,61,185)

Mortgage

PROP_MTGAMT

Amount of Loan

Mortgage

PROP_MTGDATE

Date Mortgage was initiated - YYYYMMDD

Mortgage

PROP_MTGLOANCD

Associated with the Mortgage type:
WRP - Wrap-Around Mortgage
VA - Veterans Affairs
FHA - Federal Housing Administration
CNV - Conventional
SBA - Small Business Administration
PP - Private Party Lender
CDA - Community Development Authority
CNS - Construction
LH - Lease Hold Mortgage
PMM - Purchase Money Mortgage

Mortgage

PROP_MTGTERM

The length of time per the mortgage (e.g., 15 years, 30 years, etc)

Mortgage

PROP_MTGDUEDATE

Date Mortgage becomes due - YYYYMMDD

Mortgage

PROP_LENDERNAME

Name of Lender

Mortgage

PROP_MTGREFICD

Was it a refinance of existing/prior mortgage

Mortgage

PROP_RMSEQUITYCD

Y - If equity in property was acknowledged

Mortgage

PROP_MTGINTRATE

Rate Associated with Mortgage (4 decimal)
Example: 47300 - 4.73%

Mortgage

PROP_MTGINTRATETYPE

Mortgage Rate Type

Mortgage

PROP_MTGAMT2

Amount of 2nd mortgage

Mortgage

PROP_MTGDATE2

Date 2nd Mortgage was initiated - YYYYMMDD

Mortgage

PROP_MTGLOANCD2

Associated with the 2nd Mortgage type

Mortgage

PROP_MTGDEEDCD2

2nd Deed used for recording. Please see "PROP_MTGDEEDCD" table for code descriptions and/or click on the field name to view individual codes descriptions

Mortgage

PROP_MTGTERM2

The length of time per the 2nd mortgage (e.g., 15 years, 30 years, etc)

Mortgage

PROP_MTGDUEDATE2

Date 2nd Mortgage becomes due - YYYYMMDD

Mortgage

PROP_MTGASSUMPTIONAMT2

Amount of 2nd mortgage was assumed and rolled. (e.g., 65750, 130000, 162500, 50000)

Mortgage

PROP_LENDERNAME2

Name of Lender 2

Mortgage

PROP_MTGREFICD2

Was it a refinance of existing/prior 2nd mortgage:

Mortgage

PROP_RMSEQUITYCD2

Y - If 2nd equity in property was acknowledged

Mortgage

PROP_MTGINTRATE2

2nd Rate Associated with Mortgage (4 decimal)
Example: 47300 - 4.73%

Mortgage

PROP_MTGINTRATETYPE2

Mortgage Rate Type 2:

Mortgage

PROP_MTGAMT3

Amount of 3rd mortgage

Mortgage

PROP_MTGDATE3

Date 3rd Mortgage was initiated - YYYYMMDD

Mortgage

PROP_MTGLOANCD3

Associated with the 3rd Mortgage type

Mortgage

PROP_MTGDEEDCD3

3rd Deed used for recording. Please see "PROP_MTGDEEDCD" table for code descriptions and/or click on the field name to view individual codes descriptions

Mortgage

PROP_MTGTERM3

The length of time per the 3rd mortgage (e.g., 15 years, 30 years, etc)

Mortgage

PROP_MTGDUEDATE3

Date 3rd Mortgage becomes due - YYYYMMDD

Mortgage

PROP_MTGASSUMPTIONAMT3

Amount of 3rd mortgage was assumed and rolled. (e.g., 65750, 130000, 162500, 50000)

Mortgage

PROP_LENDERNAME3

Name of Lender 3

Mortgage

PROP_MTGREFICD3

Was it a refinance of existing/prior 3rd mortgage

Mortgage

PROP_RMSEQUITYCD3

Y - If 3rd equity in property was acknowledged

Mortgage

PROP_MTGINTRATE3

3rd Rate Associated with Mortgage (4 decimal)
Example: 47300 - 4.73%

Mortgage

PROP_MTGINTRATETYPE3

Mortgage Rate Type 3

Mortgage

HEQUITY_EST

Estimate of Homeowner Equity in the Property in Dollars

Property Intelligence

HEQUITY_CONF

Home Equity Estimate Confidence Level (from 1 to 4)
1 - High confidence Home Equity prediction2 - Medium confidence Home Equity predictions3 - Medium-Low confidence Home Equity predictions4 - Low confidence Home Equity predictions

Property Intelligence

AVM_ESTIMATE

Estimate of Property Value in Dollars

Property Intelligence

AVM_ESTIMATE_ERROR

Estimate Error in Dollars (based on zip or national if zip not available)

Property Intelligence

AVM_ESTIMATE_PCT_ERROR

Estimate Error as a percentage of Estimate Value (000-999) (based on zip or national if zip not available)

Property Intelligence

AVM_ESTIMATE_PCT_ERROR

Estimate Error as a percentage of Estimate Value (000-999) (based on zip or national if zip not available)

Property Intelligence