Total Consumer Insights
# Field Number
Field Name Field Name
Max Max Field Length
Format Field Format
Level The level at which a given data element is matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Category Field Category
Description Description
1
PID
32
VARCHAR
I
N/A
Tokenized ID
✓
✓
Up to 32-Character Alphanumeric Persistent ID
Persistent ID assigned to individuals identified in the Infutor Graph
Persistent ID assi ...
2
HHID
96
VARCHAR
HH
N/A
Tokenized ID
✓
✓
Up to 96-Character Alphanumeric Household ID
A household ID is an indicator that groups individuals living in the same household
A household ID is ...
3
FNAME
50
VARCHAR
I
A
PII
✓
✓
First Name
First Name of the Individual
First Name of the ...
4
MNAME
50
VARCHAR
I
A
PII
✓
✓
Middle Name
Middle name or initial of the individual if available
Middle name or ini ...
5
LNAME
50
VARCHAR
I
A
PII
✓
✓
Surname
Last name of the individual
Last name of the i ...
6
SUFFIX
10
VARCHAR
I
A
PII
✓
✓
II, III, IV, IX, JR, SR, V, VI, VII, VIII
The generational suffix of the individual if available
The generational s ...
7
GENDER
1
VARCHAR
I
I
Core Demographics
✓
✓
"Gender Code: M – Male, F - Female"
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
The gender of an i ...
8
AGE
2
INTEGER
I
I
Core Demographics
✓
✓
Estimated Age: 18-99
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.
Adult Estimated Ag ...
9
DOB
8
INTEGER
I
A
Core Demographics
✓
✓
Date of Birth: 6-digit DOB (YYYYMM) or 4-digit DOB (YYYY)
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.
The known month an ...
10
ADDRID
32
VARCHAR
HH
A
Tokenized ID
✓
✓
Up to 32-character Alphanumeric Address ID
Persistent ID assigned to addresses identified in the Infutor Graph
Persistent ID assi ...
11
ADDRESS
64
VARCHAR
HH
A
PII
✓
✓
Full Address
All address components, including House Number, Directional, Street Name, etc.
All address compon ...
12
HOUSE
10
VARCHAR
HH
A
PII
✓
✓
House Number: Can contain numbers, letters and characters (- and /)
Physical Street Number
Physical Street Nu ...
13
PREDIR
2
VARCHAR
HH
A
PII
✓
✓
Street PreDirectional: E, N, NE, NW, S, SE, SW, W
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.
An address element ...
14
STREET
28
VARCHAR
HH
A
PII
✓
✓
Street Name, PO Box Name, RR # Box Name, or HC # Box Name
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
Information found ...
15
STRTYPE
4
VARCHAR
HH
A
PII
✓
✓
Physical Street Suffix: ST, AVE, PL, BLVD, PKWY, etc
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.
An address compone ...
16
POSTDIR
2
VARCHAR
HH
A
PII
✓
✓
Street Post Direction: E,N,NE,NW,S,SE,SW,W
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.
An address element ...
17
APTTYPE
4
VARCHAR
HH
A
PII
✓
✓
Unit Designator: APT, STE, UNIT, etc.
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)
An address element ...
18
APTNBR
8
VARCHAR
HH
A
PII
✓
✓
Unit Number: Can contain numbers, letters and characters (- and /)
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)
An address element ...
19
CITY
28
VARCHAR
HH
A
Geographical
✓
✓
City Name
As listed in USPS Publication 26, Directory of Post Offices. Post Office names in
excess of 28 positions have been abbreviated by USPS.
As listed in USPS ...
20
STATE
2
VARCHAR
HH
A
Geographical
✓
✓
State Abbreviation: AL, FL, IL, NY, etc.
Two-position alpha FIPS State code
Two-position alpha ...
21
ZIP
5
VARCHAR
HH
A
Geographical
✓
✓
Zip Code: Five digit numbers only, e.g. 60614
Five-position numeric as assigned in USPS publication 65, National Zip Code Directory
Five-position nume ...
22
Z4
4
VARCHAR
HH
A
PII
✓
✓
Zip+4 Code: Four digit numbers only, e.g. 5392
Four-position numeric as assigned in USPS Publication 65, National Zip Code Directory
Four-position nume ...
23
DPC
3
VARCHAR
HH
A
PII
✓
✓
Delivery Point Code with Check Digit
Delivery Point Code with Check Digit
Delivery Point Cod ...
24
Z4TYPE
1
VARCHAR
Z4
A
Geographical
✓
✓
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
USPS Zip+4 Record Type
USPS Zip+4 Record ...
25
CRTE
4
STRING
HH
A
PII
✓
✓
Carrier Route Code
Carrier Route Code
Carrier Route Code ...
26
DPV
1
VARCHAR
HH
A
Geographical
✓
✓
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
Delivery Point Validation
Delivery Point Val ...
27
VACANT
1
VARCHAR
HH
A
Geographical
✓
✓
Vacant:
Y - Physical Address Identified by USPS as vacant
N - Someone living at that address
Designation by USPS of a vacant property
Designation by USP ...
28
INTERNAL
255
TBD
N/A
N/A
TBD
✓
✓
Future Use
Future Use ...
29
INTERNAL2
255
TBD
N/A
N/A
TBD
✓
✓
Future Use
Future Use ...
30
INTERNAL3
255
TBD
N/A
N/A
TBD
✓
✓
Future Use
Future Use ...
Geographic Delineations
# Field Number
Field Name Field Name
Max Max Field Length
Format Field Format
Level Individual, Household, or Zip4
Assignment Modeled, Actual, or Inferred
Category Field Category
Description Description
31
MSA
4
VARCHAR
N/A
A
Geographical
✓
✓
See tab - Geographical Codes - Metropolitan Statistical Area (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).
A metropolitan sta ...
32
CBSA
5
VARCHAR
N/A
A
Geographical
✓
✓
See tab - Geographical Codes - Core Based Statistical Areas (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.
New metropolitan a ...
33
STATECD
2
VARCHAR
N/A
A
Geographical
✓
✓
Numeric State Code
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.
Federal Informatio ...
34
CNTYCD
3
VARCHAR
N/A
A
Geographical
✓
✓
County Code
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.
Federal Informatio ...
35
CENSUSTRACT
6
VARCHAR
N/A
A
Geographical
✓
✓
Census Tract
A census tract, census area, census district or meshblock is a geographic region
defined for the purpose of taking a census
A census tract, ce ...
36
CENSUSBLCK
4
VARCHAR
N/A
A
Geographical
✓
✓
Census Block
A census block is the smallest geographic unit used by the United States Census Bureau
for tabulation of 100-percent data.
A census block is ...
37
CNTYSIZECD
1
VARCHAR
N/A
A
Geographical
✓
✓
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
populationover 40,000
D - Any county statistical area not designated as an A, B, or C County
A, B, C, or 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.
A, B, C, or D coun ...
Telephone Number Data
The Telephone Number select indicates if up to three telephone numbers are available for a given record. All telephone numbers are processed for DNC compliance with flags available, but telemarketers are encouraged to perform additional processing prior to a telemarketing campaign. A SAN number is required to output DNC flagged telephone numbers on an order.# Field Number
Field Name Field Name
Max Max Field Length
Format Field Format
Level The level at which a given data element is matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Category Field Category
Description Description
41
PHONE
10
INTEGER
HH, I
A
PII
✓
✓
Phone
Public directory assistance and household based telephone number 1
Public directory a ...
42
DNC
1
VARCHAR
HH, I
A
PII
✓
✓
Y - Do Not Call Flag
Phone Included in the federal level do not call list: Y or null
Phone Included in ...
43
PHONE2
10
INTEGER
HH, I
A
PII
✓
✓
Phone 2
Public directory assistance and household based telephone number 2
Public directory a ...
44
DNC2
1
VARCHAR
HH, I
A
PII
✓
✓
Y - Do Not Call Flag 2
Phone Included in the federal level do not call list: Y or null
Phone Included in ...
45
PHONE3
10
INTEGER
HH, I
A
PII
✓
✓
Phone 3
Public directory assistance and household based telephone number 3
Public directory a ...
46
DNC3
1
VARCHAR
HH, I
A
PII
✓
✓
Y - Do Not Call Flag 3
Phone Included in the federal level do not call list: Y or null
Phone Included in ...
Household Demographic Data
# Field Number
Field Name Field Name
Max Max Field Length
Format Field Format
Level The level at which a given data element is matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Category Field Category
Description Description
48
HOMEOWNERCD
1
VARCHAR
HH
A, M
Core 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.
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.
Homeowner and rent ...
49
DWELLTYPE
1
VARCHAR
HH
A
Geographical
✓
✓
Dwelling Type:
S - Single
M - Multi
Estimated income level is a model and takes into consideration several known
demographic attributes, self-reported information and Census demographics. Data is assigned at the
household level.
Estimated income l ...
50
EHI *DO NOT USE*
1
VARCHAR
HH
M
Core Demographics
✓
✓
*DO NOT USE* New Estimated Household Income field available as of June 20, 2023 Release - See Field #343 EHI_V2
*DO NOT USE* This field was formally retired and all values were nulled with the February 20, 2024 release. Please use EHI_V2 (Field #343).
*DO NOT USE* This ...
51
MARRIEDCD
1
VARCHAR
HH
A, I, M
Core Demographics
✓
✓
Marital Status Code:
M - Married
S - Single
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.
The Marital Status ...
59
WEALTHSCR *DO NOT USE*
1
VARCHAR
HH
M
Core Demographics
✓
✓
*DO NOT USE* This field was formally retired and all values were nulled with the October 25, 2024 release. Please use WEALTHSCR_V2 (Field #345).
*DO NOT USE* This field was formally retired and all values were nulled with the October 25, 2024 release. Please use WEALTHSCR_V2 (Field #345).
*DO NOT USE* This ...
64
ETHNICITYCD *DO NOT USE*
1
VARCHAR
I
A, I
Core Demographics
✓
✓
*DO NOT USE* Due to multi-state Sensitive Personal Information requirements individual-level Ethnicity data is no longer available as of May 25, 2024 release. Geo-demographic ethnicity/race variables (Fields #319-326) are still available.
*DO NOT USE* This field was formally retired and all values were nulled with the May 25, 2024 release. Geo-demographic ethnicity/race variables available (Fields #319-326).
*DO NOT USE* This ...
65
RELIGIONCD *DO NOT USE*
1
VARCHAR
I
A, I
Supplemental
✓
*DO NOT USE* Due to multi-state Sensitive Personal Information requirements individual-level Religion data is no longer available as of May 25, 2024 release.
*DO NOT USE* This field was formally retired and all values were nulled with the May 25, 2024 release.
*DO NOT USE* This ...
66
LANGUAGECD
2
VARCHAR
I
A, I
Core Demographics
✓
✓
Language of an individual as provided by self-reported participants and overlays from
participating source data
Language of an ind ...
67
CHILD
1
VARCHAR
HH
A, I, M
Core Demographics
✓
✓
Y - Presence of Children
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.
The presence of ch ...
68
CHILDAGECD_6
1
VARCHAR
HH
A, I, M
Core Demographics
✓
✓
Presence of Children under 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.
The presence of ch ...
69
CHILDAGECD_6_10
1
VARCHAR
HH
A, I, M
Core Demographics
✓
✓
Presence of Children Aged 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.
The presence of ch ...
70
CHILDAGECD_11_15
1
VARCHAR
HH
A, I, M
Core Demographics
✓
✓
Presence of Children Aged 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.
The presence of ch ...
71
CHILDAGECD_16_17
1
VARCHAR
HH
A, I, M
Core Demographics
✓
✓
Presence of Children Aged 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.
The presence of ch ...
72
CHILDNBRCD
1
VARCHAR
HH
A, I, M
Core Demographics
✓
✓
Number of Children Code:
A - No Children
B - Less Than 3
C - 3 - 5
D - 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.
The presence of ch ...
Consumer Plus Premium Package
Geographic Delineations
# Field Number
Field Name Field Name
Max Max Field Length
Format Field Format
Level Individual, Household, or Zip4
Assignment Modeled, Actual, or Inferred
Category Field Category
Description Description
38
LATITUDE
11
FLOAT
N/A
A
Geocodes
✓
Up to 6 decimal precision for non-PII version and 6 decimal precision for PII version
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.
The geometrical lo ...
39
LONGITUDE
11
DOUBLE
N/A
A
Geocodes
✓
Up to 6 decimal precision for non-PII version and 6 decimal precision for PII version
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.
The geometrical lo ...
40
GEOLEVEL
2
VARCHAR
N/A
A
Geocodes
✓
The level of precision at which the Latitude and Longitude are assigned.
The level of preci ...
Household Demographic Data
# Field Number
Field Name Field Name
Max Max Field Length
Format Field Format
Level The level at which a given data element is matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Category Field Category
Description Description
47
LOR
2
INTEGER
HH, I
A,I
Supplemental
✓
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."
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.
Length of residenc ...
52
SGLPARENT
1
VARCHAR
HH
M
Supplemental
✓
Modeled select based on presence of children and married selection:
Y - Single Parent
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.
Potentially single ...
53
HHNBRSR
1
VARCHAR
HH
A, I
Supplemental
✓
Y - Individuals in household 65 years and older
Total number of individuals in a given household whose known birth year indicates an
age of 65 or greater
Total number of in ...
54
HHNBR
1
INTEGER
HH
I
Supplemental
✓
Number of adult individuals in household
Total number of adult individuals in a given household
Total number of ad ...
55
SPANISHSPCD
1
VARCHAR
I
A, M
Supplemental
✓
Y - Speaks Spanish at Home
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
Indicates an indiv ...
56
SOHOCD
1
VARCHAR
HH
A
Supplemental
✓
Y - SOHO (Small Office Home Office) Indicator
Indicates an individual owns a small business or has a home office at this
address
Indicates an indiv ...
57
VETERANCD
1
VARCHAR
HH
A
Supplemental
✓
Y - Veteran in Household
Compilation of signals and self reported data indicating an individual within the
household has served or is serving in the armed forces
Compilation of sig ...
58
CREDITCARD
1
VARCHAR
HH
A
Supplemental
✓
Known use of Credit Card for purchases:
Y - Credit Card
Indicator that an individual has used a credit card for purchases of goods and
services
Indicator that an ...
60
CHARITYDNR
1
VARCHAR
I
A
Supplemental
✓
Y - Donor
Known donor to charitable causes received from self-reported and other
transactional
sources
Known donor to cha ...
61
MRKTHOMEVAL
1
VARCHAR
HH
A
Supplemental
✓
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+
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.
Estimated market v ...
62
EDUCATIONCD
1
VARCHAR
I
M
Supplemental
✓
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
Education is defined as the level of education completed by the consumer. This is
a probabilistic attribute based on self-reported information, surveys, and census sources.
Education is defin ...
63
OCCUPATIONCD *DO NOT USE*
1
VARCHAR
I
A
Supplemental
✓
*DO NOT USE* New Occupation field available as of June 20, 2023 Release - See Field #344 OCCUPATIONCD_V2
*DO NOT USE* This field was formally retired and all values were nulled with the February 20, 2024 release. Please use OCCUPATIONCD_V2 (Field #344).
*DO NOT USE* This ...
65
RELIGIONCD *DO NOT USE*
1
VARCHAR
I
A, I
Supplemental
✓
*DO NOT USE* Due to multi-state Sensitive Personal Information requirements individual-level Religion data is no longer available as of May 25, 2024 release.
*DO NOT USE* This field was formally retired and all values were nulled with the May 25, 2024 release.
*DO NOT USE* This ...
Real Estate Data based upon county assessor data
# Field Number
Field Name Field Name
Max Max Field Length
Format Field Format
Level The level at which a given data element is
matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Category Field Category
Description Description
73
YRBLD
4
INTEGER
HH
A
Supplemental
✓
The year home was built according to real estate data - YYYY
Year dwelling was built based on real estate transaction and deed records from
County Assessor or County Recorder offices
Year dwelling was ...
74
MOBHOMECD
1
VARCHAR
HH
A
Supplemental
✓
Y - Mobile Home
Residence is a mobile home as indicated by real estate transaction and deed
records from County Assessor or County Recorder offices
Residence is a mob ...
75
POOL
1
VARCHAR
HH
A
Supplemental
✓
Y - Pool Owner
Residence has a pool as indicated by real estate transaction and deed records from County Assessor or County Recorder offices
Residence has a po ...
76
FIREPLCD
1
VARCHAR
HH
A
Supplemental
✓
Y - Home with Fireplace
Residence has a fireplace as indicated by real estate transaction and deed records from County Assessor or County Recorder offices
Residence has a fi ...
MarketShare Demographics
Marketshare product has been continuously built since 1993. Data is compiled at the individual level with aggregated data elements from multiple sources which have provided detailed transactional data. The sources include catalogs, magazines, continuity clubs and online products and services. Each affinity provides the number of different companies from which the person made a purchase of that type of product – values for these range from 0 to 99. See tab Marketshare for more information.# Field Number
Field Name Field Name
Max Max Field Length
Format Field Format
Level The level at which a given data element is
matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Category Field Category
Description Description
77
MS_ACCESSORY
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Accessory
Includes shoes, purses, belts, etc.
Includes shoes, pu ...
78
MS_APPAREL
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Apparel
Includes the purchase of clothing. MS_ACCESSORY, MS_KIDAPP, MS_MENAPP, and
MS_WOMAPP
are included in the overall MS_APPAREL variable.
Includes the purch ...
79
MS_AUDIO
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Audio
Includes purchases related to audio equipment.
Includes purchases ...
80
MS_AUTO
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Automotive
Includes purchases related to Cars/Trucks
Includes purchases ...
81
MS_AVIATION
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Aviation
Includes purchases of aviation related items.
Includes purchases ...
82
MS_BARGAINS
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Bargain Seekers
Includes purchases of low-cost or on-sale products from catalogs, retail and
websites
Includes purchases ...
83
MS_BIBLE
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Bible
Includes purchases of religious items
Includes purchases ...
84
MS_BOATSAIL
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Boating/Sailing
Includes boating, sailing, canoeing, kayaking, water skiing, rafting, etc
Includes boating, ...
85
MS_BOOKS
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Books
Number of distinct book company participants.
Number of distinct ...
86
MS_BUSINESS
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Business
Includes business news, and/or products usually associated with running a
business
or
a career or operating an office
Includes business ...
87
MS_CAMP
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Camping
Includes camping and hiking
Includes camping a ...
88
MS_CATALOG
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Catalog
Number of different catalogs ordered from.
Number of differen ...
89
MS_COLLECTIBLES
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Collectibles
Includes dolls, coins, stamps, stuffed animals, plates, memorabilia, etc.
Includes dolls, co ...
90
MS_COMPUTERS
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Computers
Includes Computers, software and computer accessories
Includes Computers ...
91
MS_COOKING
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Cooking
Includes recipes, cooking utensils and food products
Includes recipes, ...
92
MS_BEAUTY
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Cosmetics/Beauty Products
Includes purchases of Beauty & Cosmetic items
Includes purchases ...
93
MS_CRAFTS
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Crafts
Includes crochet, sewing, knitting, needlepoint, quilting, jewelry, ceramics,
painting, etc.
Includes crochet, ...
94
MS_CULTUREARTS
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Culture Arts
Includes art, antiques, opera, museums, the theatre, etc.
Includes art, anti ...
95
MS_CURREVENT
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Current Events
Includes periodicals, news magazines, websites & blogs
Includes periodica ...
96
MS_DIY
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Do It Yourself
Includes home improvements and construction, wood working, auto repair, etc.
Includes home impr ...
97
MS_ELECTRONICS
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Electronics
Includes home and auto stereos, video equipment, etc. Does not include
computers.
Includes home and ...
98
MS_EQUESTRIAN
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Equestrian
Includes purchases related to horses/horse riding
Includes purchases ...
99
MS_FAMILY
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Family
Includes products designed for families with children.
Includes products ...
100
MS_FICTION
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Fiction
Include books & magazines of fiction
Include books & ma ...
101
MS_FISHING
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Fishing
Include fishing paraphenalia as well as books & publications related to
fishings
Include fishing pa ...
102
MS_FITNESS
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Fitness
Includes purchases of fitness equipment, clothing, accessories as well as
subscribers
to publications and books.
Includes purchases ...
103
MS_FOOD
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Food And Drink
Includes purchases of any food item
Includes purchases ...
104
MS_FUNDRAISING
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Fundraising
Number of different charitable organizations to which a donation was made.
Number of differen ...
105
MS_GAMES
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Games
Includes computer games, traditional board games, puzzles, etc.
Includes computer ...
106
MS_GARDEN
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Gardening
Includes purchases of gardening products, plants, seeds, books etc. Also
includes
subscribers to gardening publications
Includes purchases ...
107
MS_MERCHANDISE
2
INTEGER
I
A
Behavioral & LIfestyle
✓
General Merchandise
Includes catalog items not classified under any other affinity.
Includes catalog i ...
108
MS_GIFTGIVR
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Gift Giver
Number of orders that were given as gifts.
Number of orders t ...
109
MS_GIFTEE
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Giftee
Number of orders that were received as gifts.
Number of orders t ...
110
MS_GIFTS
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Gifts
Includes products usually given as gifts.
Includes products ...
111
MS_GOURMET
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Gourmet
Includes upscale products, and fine foods, wines, and other expensive items.
Includes upscale p ...
112
MS_HEALTH
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Health
MS_FITNESS is included in MS_HEALTH. Also includes health related items which
are
not
fitness
MS_FITNESS is incl ...
113
MS_HISTORY
2
INTEGER
I
A
Behavioral & LIfestyle
✓
History
Includes purchases of books/publications related to history
Includes purchases ...
114
MS_HOLIDAY
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Holiday
Includes items related to the holidays, usually Christmas.
Includes items rel ...
115
MS_HOMEDECR
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Home Decorating/Furnishings
Includes furniture as well as other home décor items such as rugs, vases,
pictures
etc.
Includes furniture ...
116
MS_HOMELIV
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Home Living
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
MS_CAT_HOMELIV, MS ...
117
MS_HOUSEWARES
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Housewares
Includes housewares excluding large appliance purchases
Includes houseware ...
118
MS_HUMOR
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Humor/Comics
Includes comic books and strips, cartoons, comedies, etc.
Includes comic boo ...
119
MS_HUNTING
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Hunting
Includes purchases of all types of hunting related items (including rifles,
bows
etc)
as well as subscribers to hunting publications
Includes purchases ...
120
MS_INSPIRATION
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Inspiration
Includes non-religious products, such as new age products, astrology, etc.
Includes non-relig ...
121
MS_KIDAPP
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Kids Apparel
Includes all types of children's apparel
Includes all types ...
122
MS_MAGS
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Magazines
Number of distinct participating magazine titles.
Number of distinct ...
123
MS_MENAPP
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Men's Apparel
Includes all types of men's apparel
Includes all types ...
124
MS_MOTORCYCLES
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Motorcycles
Includes all types of motorcycles/motorcycle related products and
subscriptions to
motorcycle publications
Includes all types ...
125
MS_MUSIC
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Music
Includes music, music playing equipment, and musical instruments.
Includes music, mu ...
126
MS_MONEYMAKING
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Op Seekers
Includes moneymaking opportunities, usually of the get-rich-quick nature.
Includes moneymaki ...
127
MS_OUTDOORS
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Outdoors
MS_BOATSAIL, MS_CAMP, MS_FISHING, and MS_HUNTING are included in MS_OUTDOORS.
MS_BOATSAIL, MS_CA ...
128
MS_PFIN
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Personal Finance
Includes all types of personal finance (including magazines)
Includes all types ...
129
MS_PETS
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Pets
Includes purchase of all types of pet products including cats and dogs
Includes purchase ...
130
MS_PHOTOPROC
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Photo Processing
Includes companies that offer film processed via the mail or the Internet.
Includes companies ...
131
MS_PHOTO
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Photography
Includes products/magazines related to photography
Includes products/ ...
132
MS_PUBLISH
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Publish
Number of distinct publishing participants, counting individual magazines and
book
companies
Number of distinct ...
133
MS_PUB_COOKING
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Publish Cooking
Includes all types of cooking publications & books
Includes all types ...
134
MS_PUB_FAMILY
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Publish Family
Includes all types of family/children publications & books
Includes all types ...
135
MS_PUB_GARDEN
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Publish Gardening
Includes all types of gardening publications & books
Includes all types ...
136
MS_PUB_GIFTGIVR
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Publish Gift Giver
Indicates number of magazine subscriptions given as a gift
Indicates number o ...
137
MS_PUB_GIFTEE
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Publish Giftee
Indicates number of magazine subscriptions or book orders received as a Gift.
Indicates number o ...
138
MS_PUB_HOMEDECR
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Publish Home Decorating/Furnishings
Includes all types of publications & books related to home décor and
furninishings
Includes all types ...
139
MS_PUB_HOMELIV
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Publish Home Living
Includes all types of publications & books related to home living
Includes all types ...
140
MS_PUB_OUTDOORS
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Publish Outdoors
Includes all types of publications & books related to outdoors (includes
hunting,
fishing, camping, hiking, some watersports)
Includes all types ...
141
MS_SCIENCE
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Science
Includes products, magazines & books related to science
Includes products, ...
142
MS_SPORTS
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Sports
Includes products, magazines & books related to sports
Includes products, ...
143
MS_TRAVEL
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Travel
Includes products, magazines & books related traveling & vacations
Includes products, ...
144
MS_TVMOVIES
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Tv/Movies/Video
Includes purchases of videos, subscribers to streaming services as well as
magazine
subscribers
Includes purchases ...
145
MS_WILDLIFE
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Wildlife/Environment
Includes purchasers of products related to Wildlife and the environment as
well as
donors & magazine subscribers
Includes purchaser ...
146
MS_WOMAN
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Woman
Includes generic women’s publications.
Includes generic w ...
147
MS_WOMAPP
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Women's Apparel
Includes all types of women's apparel
Includes all types ...
148
MS_WOMFASH
2
INTEGER
I
A
Behavioral & LIfestyle
✓
Women's Fashion
Includes publications related to women’s fashion.
Includes publicati ...
Consumer Passion Index (CPI)
CPI Indices are a measure of the strength of one's interest in a given CPI affinity. The indices range from 9 to 0, with 9 representing someone with the strongest interest in that affinity, and 1 represents someone with the weakest interest in that affinity. 0 indicates that there is no none interest in that affinity. All passions are based on a combination of purchases from direct marketing and retail channels, and/or from interests as determined by surveys or websites. The indices are derived using our propriety methodology. To start, each contributing source file is given a value based on its ability to identify the strength of its affinities. For example, survey files receive the lowest values, and magazines/catalogs receive the highest values – actually purchasing a product in a given affinity shows a greater degree of interest than just checking off a survey box. In addition, for survey files, double-counting is limited: If one checks off one box for fly fishing and another for saltwater fishing, that person only gets credit for fishing once. On the other hand, if one subscribes to a fly fishing and a saltwater magazine, that person gets credited twice for fishing. See Tab CPI for more information.# Field Number
Field Name Field Name
Max Max Field Length
Format Field Format
Level The level at which a given data element is
matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Category Field Category
Description Description
149
CPI_HISTORY_AMERICAN_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi American History Index: 9-0
Interested specifically in American History, patriotic themes, and/or
veteran’s
issues. Included in CPI_HISTORY_INDEX.
Interested specifi ...
150
CPI_APPAREL_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Apparel Index: 9-0
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.
Interested in or p ...
151
CPI_APPAREL_ACCESSORY_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Apparel/Accessories Index: 9-0
Interested in or purchaseres of shoes, purses, belts, etc. Included in
CPI_APPAREL_INDEX.
Interested in or p ...
152
CPI_APPAREL_KIDS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Apparel/Children's Apparel Index: 9-0
Interested in or purchasers of children’s apparel via direct marketing
channels.
Included in CPI_APPAREL_INDEX.
Interested in or p ...
153
CPI_APPAREL_MEN_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Apparel/Men's Apparel Index: 9-0
Interested in or purchasers of men’s apparel . Included in CPI_APPAREL_INDEX.
Interested in or p ...
154
CPI_APPAREL_MENFASH_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Apparel/Mens Fashion Index: 9-0
Interested in or purchasers of men’s fashion. Included in CPI_APPAREL_INDEX.
Interested in or p ...
155
CPI_APPAREL_WOMEN_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Apparel/Women's Apparel Index: 9-0
Interested in or purchasers of women’s apparel via direct marketing channels.
Included
in CPI_APPAREL_INDEX.
Interested in or p ...
156
CPI_APPAREL_WOMFASH_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Apparel/Womens Fashion Index: 9-0
Interested in or purchasers of women’s fashion. Included in CPI_APPAREL_INDEX.
Interested in or p ...
157
CPI_INSURANCE_AUTO_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Auto Insurance: 9-0
Interested in purchasing Automobile Insurance
Interested in purc ...
158
CPI_AUTO_TRUCKS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Auto/Trucks Index: 9-0
Interested specifically in trucks (excluding SUVs). Included in
CPI_AUTO_INDEX.
Interested specifi ...
159
CPI_AUTO_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Automotive Index: 9-0
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.
Interested in anyt ...
160
CPI_AVIATION_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Aviation Index: 9-0
Interested in airplanes and other things that really fly and can transport
things
and
people. Does not include toy planes.
Interested in airp ...
161
CPI_BARGAINS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Bargain Seekers Index: 9-0
Interested in saving money, including coupons, low-cost stores and discount
clubs,
money-saving sales, rewards programs, auction websites, free stuff, etc.
Interested in savi ...
162
CPI_BEAUTY_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Beauty Index: 9-0
Interested in beauty-related products, including cosmetics, treatments, etc.
Interested in beau ...
163
CPI_BIBLE_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Bible/Devotional Index: 9-0
Interested in religion, church-going, bible-oriented products, and the
spiritual.
Interested in reli ...
164
CPI_PUBLISH_BOOKS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Book Buyer Index: 9-0
Known to have purchased a book via direct marketing channels. Included in
CPI_PUBLISH_INDEX. Includes CPI_NONFICTION, CPI_FICTION, and CPI_SCIFI passions.
Known to have purc ...
165
CPI_BUSINESS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Business Index: 9-0
Interested in business news, career, and/or products usually associated with
running a
business. Includes CPI__BUSINESS_HOMEOFFICE index.
Interested in busi ...
166
CPI_BUSINESS_HOMEOFFICE_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Business/Home Office Index: 9-0
Indication that the person has a Home Office. Included in CPI_BUSINESS_INDEX.
Indication that th ...
167
CPI_CATALOG_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Catalog Index: 9-0
Has purchased from a catalog.
Has purchased from ...
168
CPI_DONOR_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Charitable Donor Index: 9-0
Has a known history of donating to charitable causes.
Has a known histor ...
169
CPI_FAMILY_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Children/Family Index: 9-0
Those known to live in a family (i.e., adults and children) household, 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.
Those known to liv ...
170
CPI_FAMILY_TEEN_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Children/Family Teen Index: 9-0
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.
Those known to liv ...
171
CPI_FAMILY_YOUNG_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Children/Family Young Index: 9-0
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.
Those known to liv ...
172
CPI_COLLECTIBLES_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Collectibles Index: 9-0
Interested in collectibles, including dolls, coins, stamps, stuffed animals,
plates,
memorabilia, etc.
Interested in coll ...
173
CPI_COLLEGE_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi College Index: 9-0
Interested in colleges and universities as an alumni.
Interested in coll ...
174
CPI_COMPUTERS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Computers Index: 9-0
Interested in computers and products used with computers.
Interested in comp ...
175
CPI_CONTINUITY_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Continuity Buyer Index: 9-0
Purchased a product offered via continuity.
Purchased a produc ...
176
CPI_COOKING_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Cooking Index: 9-0
Interested in cooking, baking, and all things culinary, including recipes and
cooking
equipment. Included in CPI_HOMELIV_INDEX.
Interested in cook ...
177
CPI_CRAFTS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Crafts Index: 9-0
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.
Covers all crafts, ...
178
CPI_CRAFTS_CROCHET_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Crafts/Crochet Index: 9-0
Interested in crocheting. Included in CPI_CRAFTS Index
Interested in croc ...
179
CPI_CRAFTS_KNIT_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Crafts/Knitting Index: 9-0
Interested in knititing. Included in CPI_CRAFTS Index
Interested in knit ...
180
CPI_CRAFTS_NEEDLEPOINT_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Crafts/Needlepoint Index: 9-0
Interested in needlepoint. Included in CPI_CRAFTS Index
Interested in need ...
181
CPI_CRAFTS_QUILT_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Crafts/Quilting Index: 9-0
Interested in quilting. Included in CPI_CRAFTS Index
Interested in quil ...
182
CPI_CRAFTS_SEW_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Crafts/Sewing Index: 9-0
Interested in the sewing craft. Included in CPI_CRAFTS_INDEX.
Interested in the ...
183
CPI_CC_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Credit Card User Index: 9-0
Has used a credit card to make a purchase
Has used a credit ...
184
CPI_CREDIT_REPAIR_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Credit Repair: 9-0
Interested in repairing their credit
Interested in repa ...
185
CPI_CREDIT_REPORT_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Credit Report: 9-0
Have purchased or obtained a copy of their credit report
Have purchased or ...
186
CPI_CULTUREARTS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Culture/Arts Index: 9-0
Interested in culture and the arts, including art, antiques, opera, museums,
the
theatre, etc.
Interested in cult ...
187
CPI_CURREVENT_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Current Events Index: 9-0
Interested in the news and politics.
Interested in the ...
188
CPI_DIY_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Do It Yourself Index: 9-0
Interested in Do It Yourself projects, including home improvements and
construction,
wood working, auto repair, etc.
Interested in Do I ...
189
CPI_EDUCATION_SEEKERS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Education Seekers: 9-0
Interested in furthering their education including online schools, brick and
mortar
schools and trade schools
Interested in furt ...
190
CPI_ELECTRONICS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Electronics Index: 9-0
Interested in electronics, such as home and auto stereos, video equipment,
etc.
Does
not include computers.
Interested in elec ...
191
CPI_FICTION_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Fiction Index: 9-0
Interested in fiction books. Included in CPI_PUBLISH_INDEX and
CPI_PUBLISH_BOOKS_INDEX.
Interested in fict ...
192
CPI_GAMBLING_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Gambling Index: 9-0
Interested in games of chance, including casino gambling and lotteries.
Interested in game ...
193
CPI_GAMES_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Games Index: 9-0
Interested in a variety of games, including computer games, traditional board
games,
puzzles, etc.
Interested in a va ...
194
CPI_GARDENING_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Gardening/Flowers Index: 9-0
Interested in gardening and plants, both indoors and outdoors, decorative and
edible.
Included in CPI_HOMELIV_INDEX.
Interested in gard ...
195
CPI_GIFTGIVR_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Gift Giver Index: 9-0
Has been known to purchase gifts for others via a direct marketing channel.
Has been known to ...
196
CPI_GOURMET_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Gourmet Foods/Cooking Index: 9-0
Interested in gourmet and upscale products, such as fine foods, wines, and
other
expensive items.
Interested in gour ...
197
CPI_HEALTH_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Health Index: 9-0
Interested in one’s health and/or self-improvement. Includes HEALTH_DIET and
HEALTH_FITNESS indices below.
Interested in one’ ...
198
CPI_INSURANCE_HEALTH_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Health Insurance: 9-0
Interested in purchasing Health Insurance
Interested in purc ...
199
CPI_HEALTH_DIET_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Health/Diet Index: 9-0
Interested in weight control or losing weight. Included in CPI_HEALTH_INDEX.
Interested in weig ...
200
CPI_HEALTH_FITNESS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Health/Fitness & Exercise Index: 9-0
Interested in physical fitness and exercise, including running, biking,
walking,
weight lifting, aerobics, etc. Included in CPI_HEALTH_INDEX.
Interested in phys ...
201
CPI_HIGHTECH_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi High Tech Enthusiast Index: 9-0
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.
Interested in new ...
202
CPI_HISPANIC_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Hispanic Index: 9-0
Race indicated as Hispanic, speaks Spanish, and/or interested in
Hispanic-oriented
products.
Race indicated as ...
203
CPI_HISTORY_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi History Index: 9-0
Interested in History. Includes CPI_HISTORY_AMERICAN index.
Interested in Hist ...
204
CPI_HOBBIES_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Hobbies Index: 9-0
Interested in unspecified hobbies or in various hobbies not included in other
passions.
Interested in unsp ...
205
CPI_HOMEDECR_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Home Decorating/Furnishings Index: 9-0
Interested in Home Decorating, such as furnishings, wall and window
treatments,
layouts, etc. Included in CPI_HOMELIV_INDEX.
Interested in Home ...
206
CPI_HOMELIV_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Home Living Index: 9-0
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.
Interested in thin ...
207
CPI_EQUESTRIAN_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Horses Index: 9-0
Interested in horses and riding.
Interested in hors ...
208
CPI_INSPIRATION_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Inspirational Index: 9-0
Interested in non-religious inspiration, including new age products,
astrology,
etc.
Interested in non- ...
209
CPI_INSURANCE_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Insurance: 9-0
Interested in purchasing insurance (includes Life, Health & Auto)
Interested in purc ...
210
CPI_INTERNET_ACCESS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Internet Access Index: 9-0
Known only to have internet access; does not necessarily include an internet
purchase.
Included in CPI_INTERNET_INDEX.
Known only to have ...
211
CPI_INTERNET_BUY_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Internet Buyer Index: 9-0
Known to have purchased a product via the internet. Included in
CPI_INTERNET_INDEX.
Known to have purc ...
212
CPI_INTERNET_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Internet Index: 9-0
Known to be on the internet. Includes the INTERNET_ACCESS and INTERNET_BUY
passions.
Known to be on the ...
213
CPI_JOB_SEEKERS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Job Seekers: 9-0
Users of online job searching sites
Users of online jo ...
214
CPI_PUBLISH_MAGS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Magazine Subscriber Index: 9-0
Known to have purchased a magazine via direct marketing channels. Included in
CPI_PUBLISH_INDEX.
Known to have purc ...
215
CPI_PUBLISH_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Magazine/Book Buyer Index: 9-0
Known to have purchased a book or magazine via direct marketing channels.
Includes
CPI_PUBLISH_MAGS and CPI_PUBLISH_BOOKS passions.
Known to have purc ...
216
CPI_MOBILE_APPS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Mobile Apps/Ringtones: 9-0
Have purchased a ring tone or app for a mobile device
Have purchased a r ...
217
CPI_MOTORCYCLES_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Motorcycles Index: 9-0
Interested in motorcycles and ATVs.
Interested in moto ...
218
CPI_MUSIC_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Music Index: 9-0
Interested in music and/or music playing equipment.
Interested in musi ...
219
CPI_NONFICTION_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Nonfiction Index: 9-0
Interested in non-fiction books. Included in CPI_PUBLISH_INDEX and
CPI_PUBLISH_BOOKS_INDEX.
Interested in non- ...
220
CPI_MONEYMAKING_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Op Seekers Index: 9-0
Interested in moneymaking opportunities, usually of the get-rich- quick
nature.
Interested in mone ...
221
CPI_OUTDOORS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Outdoor Sports Index: 9-0
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.
Interested in outd ...
222
CPI_OUTDOORS_BOATSAIL_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Outdoors/Boating & Sailing Index: 9-0
Interested in boating, sailing, canoeing, kayaking, water skiing, rafting,
etc.
Included in CPI_OUTDOORS_INDEX.
Interested in boat ...
223
CPI_OUTDOORS_CAMP_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Outdoors/Camping & Hiking Index: 9-0
Interested in camping, hiking, climbing, etc. Included in CPI_OUTDOORS_INDEX.
Interested in camp ...
224
CPI_OUTDOORS_FISHING_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Outdoors/Fishing Index: 9-0
Interested specifically in fishing, saltwater and/or freshwater. Included in
CPI_OUTDOORS_INDEX.
Interested specifi ...
225
CPI_OUTDOORS_HUNTING_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Outdoors/Hunting Index: 9-0
Interested specifically in hunting or guns. Included in CPI_OUTDOORS_INDEX.
Interested specifi ...
226
CPI_OUTDOORS_HUNTFISH_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Outdoors/Hunting Or Fishing Index: 9-0
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.
Interested in hunt ...
227
CPI_PFIN_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Personal Finance Index: 9-0
Interested in personal finance, investments, retirement planning, etc.
Interested in pers ...
228
CPI_EGO_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Personalized Index: 9-0
Interested in personalized products, such as monograms.
Interested in pers ...
229
CPI_PETS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Pets Index: 9-0
Interested in or an owner of pets, mostly dogs and cat. Includes the
CPI_PETS_CATS
and
CPI_PETS_DOGS passions below.
Interested in or a ...
230
CPI_PETS_CATS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Pets/Cats Index: 9-0
Interested in or an owner of cats. Included in CPI_PETS_INDEX.
Interested in or a ...
231
CPI_PETS_DOGS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Pets/Dogs Index: 9-0
Interested in or an owner of dogs. Included in CPI_PETS_INDEX.
Interested in or a ...
232
CPI_PHOTOPROC_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Photo Processing Index: 9-0
Known to have had film processed via the mail or the internet.
Known to have had ...
233
CPI_PHOTOG_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Photography Index: 9-0
Interested in photography.
Interested in phot ...
234
CPI_CONSERVATIVE_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Politically Conservative Index: 9-0
Expressed a preference for a conservative political point of view or party.
Expressed a prefer ...
235
CPI_LIBERAL_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Politically Liberal Index: 9-0
Expressed a preference for a liberal political point of view or party.
Expressed a prefer ...
236
CPI_SOCIAL_NETWORKING_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Social Networking: 9-0
Users of online social networking services such as facebook, twitter etc.
Users of online so ...
237
CPI_SPORTS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Sports Index: 9-0
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.
Interested in spor ...
238
CPI_SPORTS_BASEBALL_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Sports/Baseball Index: 9-0
Interested in the specific sport of Baseball as a spectator, paraphernalia
purchaser
and/or participant.
Interested in the ...
239
CPI_SPORTS_BASKETBALL_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Sports/Basketball Index: 9-0
Interested in Basketball
Interested in Bask ...
240
CPI_SPORTS_BIKING_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Sports/Biking Index: 9-0
Interested in Biking
Interested in Biki ...
241
CPI_SPORTS_FOOTBALL_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Sports/Football Index: 9-0
Interested in Football
Interested in Foot ...
242
CPI_SPORTS_GOLF_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Sports/Golf Index: 9-0
Interested in Golf
Interested in Golf ...
243
CPI_SPORTS_HOCKEY_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Sports/Hockey Index: 9-0
Interested in Hockey
Interested in Hock ...
244
CPI_SPORTS_RUNNING_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Sports/Running Index: 9-0
Interested in Running
Interested in Runn ...
245
CPI_SPORTS_SKI_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Sports/Ski Index: 9-0
Interested in Skiing
Interested in Skii ...
246
CPI_SPORTS_SOCCER_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Sports/Soccer Index: 9-0
Interested in Soccer
Interested in Socc ...
247
CPI_SPORTS_SWIMMING_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Sports/Swimming Index: 9-0
Interested in Swimming
Interested in Swim ...
248
CPI_SPORTS_TENNIS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Sports/Tennis Index: 9-0
Interested in Tennis
Interested in Tenn ...
249
CPI_SWEEPS_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Sweepstakes Index: 9-0
Interested in offers utilizing sweepstakes.
Interested in offe ...
250
CPI_TRAVEL_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Travel Index: 9-0
Interested in traveling. Includes the CPI_TRAVEL_CRUISE, CPI_TRAVEL_RV and
CPI_TRAVEL_US passions.
Interested in trav ...
251
CPI_TRAVEL_CRUISE_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Travel/Cruises Index: 9-0
Interested in boat cruises. Included in CPI_TRAVEL_INDEX.
Interested in boat ...
252
CPI_TRAVEL_RV_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Travel/Recr Vehicles Index: 9-0
Interested in recreational vehicles or known to own one. Included in
CPI_TRAVEL_INDEX.
Interested in recr ...
253
CPI_TRAVEL_US_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Travel/Us Index: 9-0
Interested in travel within the US. Included in CPI_TRAVEL_INDEX.
Interested in trav ...
254
CPI_TVMOVIES_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Tv/Movies/Video Index: 9-0
Interested in television, movies, videos, DVDs, etc.
Interested in tele ...
255
CPI_WILDLIFE_INDEX
1
INTEGER
I
M
Behavioral & LIfestyle
✓
Cpi Wildlife/Environment Index: 9-0
Interested in the environment and/or wildlife.
Interested in the ...
Connex Segmentation Clusters
Groups of consumers who exhibit similar demographic, lifestyle and media consumption characteristics, empowering marketers to understand the unique attributes that comprise their most profitable consumer segments. Armed with this rich data, data scientists can drive analytics and modeling to power their brand’s unique marketing initiatives.# Field Number
Field Name Field Name
Max Max Field Length
Format Field Format
Level The level at which a given data element is
matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Category Field Category
Description Description
Connex Targets
Connex targets indicate consumer propensities at the household level based on their unique preferences. Infutor's robust prospecting database includes more than 5,400 Connex Targets across 86 categories. Contact Infutor's sales team for more information about our connex database.# Field Number
Field Name Field Name
Max Max Field Length
Format Field Format
Level The level at which a given data element is
matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Category Field Category
Description Description
265
CT_MEDIA_HEAVYUSAGE_MAGAZINE
1
VARCHAR
HH
M
Connex
✓
Y - Frequent reader of magazines
Y - Frequent reade ...
266
CT_MEDIA_HEAVYUSAGE_NEWSPAPER
1
VARCHAR
HH
M
Connex
✓
Y - Frequent reader of newspapers
Y - Frequent reade ...
267
CT_MEDIA_HEAVYUSAGE_RADIO
1
VARCHAR
HH
M
Connex
✓
Y - Frequent listener to radio
Y - Frequent liste ...
268
CT_MEDIA_HEAVYUSAGE_PTRADIO
1
VARCHAR
HH
M
Connex
✓
Y - Frequent listener to radio primetime
Y - Frequent liste ...
269
CT_MEDIA_HEAVYUSAGE_TV
1
VARCHAR
HH
M
Connex
✓
Y - Frequent watcher of television
Y - Frequent watch ...
270
CT_MEDIA_HEAVYUSAGE_INTERNET
1
VARCHAR
HH
M
Connex
✓
Y - Frequent user of internet
Y - Frequent user ...
271
CT_MEDIA_HEAVYUSAGE_ODRMDA
1
VARCHAR
HH
M
Connex
✓
Y - Frequent reader of outdoor media
Y - Frequent reade ...
272
CT_SOCIALUSAGE30_FB
1
VARCHAR
HH
M
Connex
✓
Y - Social media, photo or video-sharing services visited or used in the last
30
days:
Facebook
Y - Social media, ...
273
CT_SOCIALUSAGE30_INSTA
1
VARCHAR
HH
M
Connex
✓
Y - Social media, photo or video-sharing services visited or used in the last
30
days:
Instagram
Y - Social media, ...
274
CT_SOCIALUSAGE30_LNKIN
1
VARCHAR
HH
M
Connex
✓
Y - Social media, photo or video-sharing services visited or used in the last
30
days:
LinkedIn
Y - Social media, ...
275
CT_SOCIALUSAGE30_PINT
1
VARCHAR
HH
M
Connex
✓
Y - Social media, photo or video-sharing services visited or used in the last
30
days:
Pinterest
Y - Social media, ...
276
CT_SOCIALUSAGE30_TWITTER
1
VARCHAR
HH
M
Connex
✓
Y - Social media, photo or video-sharing services visited or used in the last
30
days:
Twitter
Y - Social media, ...
277
CT_SOCIALUSAGE30_YOUTUBE
1
VARCHAR
HH
M
Connex
✓
Y - Social media, photo or video-sharing services visited or used in the last
30
days:
YouTube
Y - Social media, ...
278
CT_STRMSUB_PRIME
1
VARCHAR
HH
M
Connex
✓
Y - Subscribes to Prime Video for streaming video services
Y - Subscribes to ...
279
CT_STRMSUB_HULU
1
VARCHAR
HH
M
Connex
✓
Y - Subscribes to Hulu for streaming video services
Y - Subscribes to ...
280
CT_STRMSUB_NETFLIX
1
VARCHAR
HH
M
Connex
✓
Y - Subscribes to Netflix for streaming video services
Y - Subscribes to ...
281
CT_SMRTPHN_TYPEOWNS_ANDROID
1
VARCHAR
HH
M
Connex
✓
Y - Owns an Android smartphone (any brand)
Y - Owns an Androi ...
282
CT_SMRTPHN_TYPEOWNS_IPHONE
1
VARCHAR
HH
M
Connex
✓
Y - Owns an Apple iPhone smartphone
Y - Owns an Apple ...
283
CT_HOMEIMPROVE12_ANY
1
VARCHAR
HH
M
Connex
✓
Y - Made improvements to home
Y - Made improveme ...
284
CT_HOMEREMODEL12_ANY
1
VARCHAR
HH
M
Connex
✓
Y - Home Remodeling - Summary: Any: In last 12 months
Y - Home Remodelin ...
285
CT_POLITICAL_PARTYAFF_DEMOCRAT
1
VARCHAR
HH
M
Connex
✓
Y - Democratic political affiliation
Y - Democratic pol ...
286
CT_POLITICAL_PARTYAFF_GOP
1
VARCHAR
HH
M
Connex
✓
Y - Republican political affiliation
Y - Republican pol ...
287
CT_POLITICAL_PARTYAFF_IND
1
VARCHAR
HH
M
Connex
✓
Y - Independent/no party affiliation
Y - Independent/no ...
288
CT_POLITICAL_OUTLK_VCONSERV
1
VARCHAR
HH
M
Connex
✓
Y - Political outlook is very conservative
Y - Political outl ...
289
CT_POLITICAL_OUTLK_SWCONSERV
1
VARCHAR
HH
M
Connex
✓
Y - Political outlook is somewhat conservative
Y - Political outl ...
290
CT_POLITICAL_OUTLK_MID
1
VARCHAR
HH
M
Connex
✓
Y - Political outlook is middle of the road
Y - Political outl ...
291
CT_POLITICAL_OUTLK_SWLIBERAL
1
VARCHAR
HH
M
Connex
✓
Y - Political outlook is somewhat liberal
Y - Political outl ...
292
CT_POLITICAL_OUTLK_VLIBERAL
1
VARCHAR
HH
M
Connex
✓
Y - Political outlook is very liberal
Y - Political outl ...
293
CT_ONLINESHOPSEG_OFFLINE
1
VARCHAR
HH
M
Connex
✓
Y - Online Shoppers Segments: Offline-Only Shoppers
Y - Online Shopper ...
294
CT_ONLINESHOPSEG_TRAD
1
VARCHAR
HH
M
Connex
✓
Y - Online Shoppers Segments: Traditional Consumers
Y - Online Shopper ...
295
CT_ONLINESHOPSEG_STRAITFWD
1
VARCHAR
HH
M
Connex
✓
Y - Online Shoppers Segments: Straightforward Shoppers
Y - Online Shopper ...
296
CT_ONLINESHOPSEG_DEALSEEK
1
VARCHAR
HH
M
Connex
✓
Y - Online Shoppers Segments: Passionate Deal Seekers
Y - Online Shopper ...
297
CT_ONLINESHOPSEG_QUALSEEK
1
VARCHAR
HH
M
Connex
✓
Y - Online Shoppers Segments: Active Quality Seekers
Y - Online Shopper ...
298
CT_TECHTUDESEG_PHOBES
1
VARCHAR
HH
M
Connex
✓
Y - Technology Attitude Segments: Techno-Phobes
Y - Technology Att ...
299
CT_TECHTUDESEG_LAGGRDS
1
VARCHAR
HH
M
Connex
✓
Y - Technology Attitude Segments: Techno-Laggards
Y - Technology Att ...
300
CT_TECHTUDESEG_XPLOIT
1
VARCHAR
HH
M
Connex
✓
Y - Technology Attitude Segments: Tech-Sploiters
Y - Technology Att ...
301
CT_TECHTUDESEG_GAMER
1
VARCHAR
HH
M
Connex
✓
Y - Technology Attitude Segments: Techno-Gamers
Y - Technology Att ...
302
CT_TECHTUDESEG_THUSIAST
1
VARCHAR
HH
M
Connex
✓
Y - Technology Attitude Segments: Tech-Thusiasts
Y - Technology Att ...
303
CT_TECHTUDESEG_XPLOR
1
VARCHAR
HH
M
Connex
✓
Y - Technology Attitude Segments: Tech-Splorers
Y - Technology Att ...
304
CT_DNR_CONTRIB_PBS
1
VARCHAR
HH
M
Connex
✓
Y - Contributed to Public Broadcasting Service (PBS)
Y - Contributed to ...
305
CT_DNR_CONTRIB_NPR
1
VARCHAR
HH
M
Connex
✓
Y - Contributed to National Public Radio (NPR)
Y - Contributed to ...
306
CT_DNR_CONTRIB_RELIGIOUS
1
VARCHAR
HH
M
Connex
✓
Y - Contributed to religious organization(s)
Y - Contributed to ...
307
CT_DNR_CONTRIB_ARTS
1
VARCHAR
HH
M
Connex
✓
Y - Contributed to arts/cultural organization(s)
Y - Contributed to ...
308
CT_DNR_CONTRIB_EDU
1
VARCHAR
HH
M
Connex
✓
Y - Contributed to educational organization(s)
Y - Contributed to ...
309
CT_DNR_CONTRIB_ENVIRO
1
VARCHAR
HH
M
Connex
✓
Y - Contributed to environmental organization(s)
Y - Contributed to ...
310
CT_DNR_CONTRIB_HEALTH
1
VARCHAR
HH
M
Connex
✓
Y - Contributed to health organization(s)
Y - Contributed to ...
311
CT_DNR_CONTRIB_POL
1
VARCHAR
HH
M
Connex
✓
Y - Contributed to political organization(s)
Y - Contributed to ...
312
CT_DNR_CONTRIB_SOCSERV
1
VARCHAR
HH
M
Connex
✓
Y - Contributed to social service organization(s)
Y - Contributed to ...
313
CT_DNR_CONTRIB_NONREL
1
VARCHAR
HH
M
Connex
✓
Y - Contributed to other non-religious organization(s)
Y - Contributed to ...
314
CT_DNR_CONTRIBAMT_HIGH
1
VARCHAR
HH
M
Connex
✓
Y - Contributed $500 or more to organization(s)
Y - Contributed $5 ...
315
CT_VOLUNTEER_CHTYORG
1
VARCHAR
HH
M
Connex
✓
Y - Volunteered for a charitable organization
Y - Volunteered fo ...
Geographic Demographics
Census-based; includes interpolated Census data# Field Number
Field Name Field Name
Max Max Field Length
Format Field Format
Level The level at which a given data element is
matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Category Field Category
Description Description
316
CENSPCT_WATER
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Water: 0-100
Percentage of Water in a given zip code
Percentage of Wate ...
317
CENS_POP_DENSITY
6
INTEGER
Z4
A
Supplemental
✓
Census: Pop Density
Population Density per square mile in a given zip code
Population Density ...
318
CENS_HU_DENSITY
6
INTEGER
Z4
A
Supplemental
✓
Census: Hu Density
Housing Units Density per square mile in a given zip code
Housing Units Dens ...
319
CENSPCT_POP_WHITE
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Pop White: 0-100
Percentage of White population in a given zip code
Percentage of Whit ...
320
CENSPCT_POP_BLACK
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Pop Black: 0-100
Percentage of Black population in a given zip code
Percentage of Blac ...
321
CENSPCT_POP_AMERIND
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Pop Amer Indian: 0-100
Percentage of Amer Indian population in a given zip code
Percentage of Amer ...
322
CENSPCT_POP_ASIAN
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Pop Asian: 0-100
Percentage of Asian population in a given zip code
Percentage of Asia ...
323
CENSPCT_POP_PACISL
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Pop Pac Islander: 0-100
Percentage of Pac Islander population in a given zip code
Percentage of Pac ...
324
CENSPCT_POP_OTHRACE
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Pop Othrace: 0-100
Percentage of Other Races population in a given zip code
Percentage of Othe ...
325
CENSPCT_POP_MULTIRACE
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Pop Multirace: 0-100
Percentage of Multi Race population in a given zip code
Percentage of Mult ...
326
CENSPCT_POP_HISPANIC
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Pop Hispanic: 0-100
Percentage of Hispanic population in a given zip code
Percentage of Hisp ...
327
CENSPCT_POP_AGELT18
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Pop Age 0-17: 0-100
Percentage Population Under Age 18 in a given zip code
Percentage Populat ...
328
CENSPCT_POP_MALES
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Pop Males: 0-100
Percentage Males in a given zip code
Percentage Males i ...
329
CENSPCT_ADULT_AGE1824
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Adult Age 18-24: 0-100
Percentage Adult Age 18-24 in a given zip code
Percentage Adult A ...
330
CENSPCT_ADULT_AGE2534
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Adult Age 25-34: 0-100
Percentage Adult Age 25-34 in a given zip code
Percentage Adult A ...
331
CENSPCT_ADULT_AGE3544
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Adult Age 35-44: 0-100
Percentage Adult Age 35-44 in a given zip code
Percentage Adult A ...
332
CENSPCT_ADULT_AGE4554
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Adult Age 45-54: 0-100
Percentage Adult Age 45-54 in a given zip code
Percentage Adult A ...
333
CENSPCT_ADULT_AGE5564
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Adult Age 55-64: 0-100
Percentage Adult Age 55-64 in a given zip code
Percentage Adult A ...
334
CENSPCT_ADULT_AGEGE65
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Adult Age 65+: 0-100
Percentage Adult Age 65+ in a given zip code
Percentage Adult A ...
335
CENS_POP_MEDAGE
3
INTEGER
Z4
A
Supplemental
✓
Census: Pop Median Age: 0-100
Population Median Age in a given zip code
Population Median ...
336
CENS_HH_AVGSIZE
10
DOUBLE
Z4
A
Supplemental
✓
Census: Hh Avg Size
Average Household Size in a given zip code (not rounded to the nearest whole)
Average Household ...
337
CENSPCT_HH_FAMILY
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Hh Family: 0-100
Percentage Hh Family in a given zip code
Percentage Hh Fami ...
338
CENSPCT_HH_FAMILY_HUSBWIFE
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Hh Family Husb & Wife: 0-100
Percentage Hh Family Husband & Wife in a given zip code
Percentage Hh Fami ...
339
CENSPCT_HU_OCCUPIED
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Hu Occupied: 0-100
Percentage Housing unit Occupied in a given zip code
Percentage Housing ...
340
CENSPCT_HU_OWNED
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Hu Owned: 0-100
Percentage Housing unit Owned in a given zip code
Percentage Housing ...
341
CENSPCT_HU_RENTED
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Hu Rented: 0-100
Percentage Housing unit Rented in a given zip code
Percentage Housing ...
342
CENSPCT_HU_VACANTSEASONAL
3
INTEGER
Z4
A
Supplemental
✓
Census: Pct Hu Vacant/Seasonal: 0-100
Percentage Housing unt Vacant/Seasonal in a given zip code
Percentage Housing ...
Additional Fields
# Field Number
Field Name Field Name
Max Max Field Length
Format Field Format
Level The level at which a given data element is
matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Category
Description Description
343
EHI_V2
1
VARCHAR
HH
M
Core 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+
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+
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.
Estimated househol ...
344
OCCUPATIONCD_V2
1
VARCHAR
I
A, I
Supplemental
✓
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 - Field #63.
Derived from self- ...
345
WEALTHSCR_V2
1
VARCHAR
HH
M
Core 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+
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+
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.
The net worth sele ...
346
AGE_RANGE_ESTIMATED
1
VARCHAR
I
I
Core Demographics
✓
Estimated Age Range
A - Estimated Age 18-24
B - Estimated Age 25-34
C - Estimated Age 35-44
D - Estimated Age 45-54
E - Estimated Age 55-64
F - Estimated Age 65-74
G - Estimated Age 75+
A - Estimated Age 18-24
B - Estimated Age 25-34
C - Estimated Age 35-44
D - Estimated Age 45-54
E - Estimated Age 55-64
F - Estimated Age 65-74
G - Estimated Age 75+
Adult Estimated Age Range 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, which is then used to assign the record to an appropriate age range.
Adult Estimated Ag ...
347
AGE_RANGE_INFERRED
1
VARCHAR
Z4
I
Core Demographics
✓
Inferred Age Range.
A - Inferred Age 18-24
B - Inferred Age 25-34
C - Inferred Age 35-44
D - Inferred Age 45-54
E - Inferred Age 55-64
F - Inferred Age 65-74
G - Inferred Age 75+
A - Inferred Age 18-24
B - Inferred Age 25-34
C - Inferred Age 35-44
D - Inferred Age 45-54
E - Inferred Age 55-64
F - Inferred Age 65-74
G - Inferred Age 75+
Adult Inferred Age Range uses known age of adults within the same ZIP+4 to assign an age range. The originating known age data is compiled from a variety of sources that may include public data, buying activities data, and self-reported information. A value is only assigned for this field if a record for the AGE_RANGE_ESTIMATED field is not available.
Adult Inferred Age ...
348
AGE_RANGE_COMBINED
1
VARCHAR
I,Z4
I
Core Demographics
✓
Combined (Estimated + Inferred) Age Range
A - Combined Age 18-24
B - Combined Age 25-34
C - Combined Age 35-44
D - Combined Age 45-54
E - Combined Age 55-64
F - Combined Age 65-74
G - Combined Age 75+
A - Combined Age 18-24
B - Combined Age 25-34
C - Combined Age 35-44
D - Combined Age 45-54
E - Combined Age 55-64
F - Combined Age 65-74
G - Combined Age 75+
Adult Combined Age Range assigns an age range value to all records, using the applicable value from either AGE_RANGE_ESTIMATED and AGE_RANGE_INFERRED fields. Use this field if you are looking for 100% age range coverage within the TCI universe.
Adult Combined Age ...
Auto - Premium Package
TCI Linkage Information
# Field Number
Field Name Field Name
Length Max Field Length
Format Field Format
Level The level at which a given data element is
matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Description Description
1
PID
96
VARCHAR
I
✓
✓
N/A
Persistent ID assigned to individuals identified in the Infutor Graph
Persistent ID assigned to ...
Auto Attributes
# Field Number
Field Name Field Name
Length Max Field Length
Format
Level The level at which a given data element is
matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Description Description
2
VIN1
17
VARCHAR
HH
✓
✓
A
Vehicle Identification Number (VIN) (Vehicle 1)
Vehicle Identification Nu ...
3
MAKE1
30
VARCHAR
HH
✓
✓
A
Vehicle Make (Vehicle 1)
Vehicle Make (Vehicle 1) ...
4
MODEL1
30
VARCHAR
HH
✓
✓
A
Vehicle Model (Vehicle 1)
Vehicle Model (Vehicle 1) ...
5
YEAR1
30
VARCHAR
HH
✓
✓
A
Vehicle Year - YYYY
Vehicle Year - YYYY ...
6
VEH_CLASS1
15
VARCHAR
HH
✓
✓
A
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"
Vehicle Class Description ...
7
FUELTYPECD1
30
VARCHAR
HH
✓
✓
A
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
Vehicle ...
8
MFGCD1
1
VARCHAR
HH
✓
✓
A
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 Man ...
9
STYLECD1
10
VARCHAR
HH
✓
✓
A
Vehicle Style Code:
CONV
CPE2DR
CUV
HATCHBACK
LUXURY
PICKUP
SEDAN
SPORT
UTIL
VAN
WAGON
Vehicle ...
10
MILEAGECD1
1
VARCHAR
HH
✓
✓
A
Mileage Code:
A-Z in increments of 10,000 0-10000-A and 260,000+-Z
Mileage Code:
...
11
INFERREDDATE1
1
VARCHAR
HH
✓
✓
A
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
Inferred Purchase Date Co ...
12
VIN2
17
VARCHAR
HH
✓
✓
A
Vehicle Identification Number (VIN) (Vehicle 2)
Vehicle Identification Nu ...
13
MAKE2
30
VARCHAR
HH
✓
✓
A
Vehicle Make (Vehicle 2)
Vehicle Make (Vehicle 2) ...
14
MODEL2
30
VARCHAR
HH
✓
✓
A
Vehicle Model (Vehicle 2)
Vehicle Model (Vehicle 2) ...
15
YEAR2
4
VARCHAR
HH
✓
✓
A
Vehicle Year - YYYY
Vehicle Year - YYYY ...
16
VEH_CLASS2
15
VARCHAR
HH
✓
✓
A
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
Vehicle Class Description ...
17
FUELTYPECD2
1
VARCHAR
HH
✓
✓
A
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
Vehicle Fuel Code:
...
18
MFGCD2
1
VARCHAR
HH
✓
✓
A
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 Manufacturer Code:
...
19
STYLECD2
10
VARCHAR
HH
✓
✓
A
Vehicle Style Code:
CONV
CPE2DR
CUV
HATCHBACK
LUXURY
PICKUP
SEDAN
SPORT
UTIL
VAN
WAGON
Vehicle Style Code:
...
20
MILEAGECD2
1
VARCHAR
HH
✓
✓
A
Mileage Code:
A-Z in increments of 10,000 0-10000-A and 260,000+-Z
Mileage Code:
...
21
INFERREDDATE2
1
VARCHAR
HH
✓
✓
A
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
Inferred ...
22
VIN3
17
VARCHAR
HH
✓
✓
A
Vehicle Identification Number (VIN) (Vehicle 3)
Vehicle Identification Nu ...
23
MAKE3
30
VARCHAR
HH
✓
✓
A
Vehicle Make (Vehicle 3)
Vehicle Make (Vehicle 3) ...
24
MODEL3
30
VARCHAR
HH
✓
✓
A
Vehicle Model (Vehicle 3)
Vehicle Model (Vehicle 3) ...
25
YEAR3
4
VARCHAR
HH
✓
✓
A
Vehicle Year - YYYY
Vehicle Year - YYYY ...
26
VEH_CLASS3
15
VARCHAR
HH
✓
✓
A
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
Vehicle Class Description ...
27
FUELTYPECD3
1
VARCHAR
HH
✓
✓
A
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
Vehicle Fuel Code:
...
28
MFGCD3
1
VARCHAR
HH
✓
✓
A
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 Manufacturer Code:
...
29
STYLECD3
10
VARCHAR
HH
✓
✓
A
Vehicle Style Code:
CONV
CPE2DR
CUV
HATCHBACK
LUXURY
PICKUP
SEDAN
SPORT
UTIL
VAN
WAGON
Vehicle ...
30
MILEAGECD3
10
VARCHAR
HH
✓
✓
A
Mileage Code:
A-Z in increments of 10,000 0-10000-A and 260,000+-Z
Mileage Code:
...
31
INFERREDDATE3
10
VARCHAR
HH
✓
✓
A
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
Inferred Purchase Date Co ...
32
VIN4
17
VARCHAR
HH
✓
✓
A
Vehicle Identification Number (VIN) (Vehicle 4)
Vehicle Identification Nu ...
33
MAKE4
30
VARCHAR
HH
✓
✓
A
Vehicle Make (Vehicle 4)
Vehicle Make (Vehicle 4) ...
34
MODEL4
30
VARCHAR
HH
✓
✓
A
Vehicle Model (Vehicle 4)
Vehicle Model (Vehicle 4) ...
35
YEAR4
4
VARCHAR
HH
✓
✓
A
Vehicle Year - YYYY
Vehicle Year - YYYY ...
36
VEH_CLASS4
15
VARCHAR
HH
✓
✓
A
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
Vehicle Class Description ...
37
FUELTYPECD4
15
VARCHAR
HH
✓
✓
A
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
Vehicle Fuel Code:
...
38
MFGCD4
15
VARCHAR
HH
✓
✓
A
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 Manufacturer Code:
...
39
STYLECD4
10
VARCHAR
HH
✓
✓
A
Vehicle Style Code:
CONV
CPE2DR
CUV
HATCHBACK
LUXURY
PICKUP
SEDAN
SPORT
UTIL
VAN
WAGON
Vehicle Style Code:
...
40
MILEAGECD4
1
VARCHAR
HH
✓
✓
A
Mileage Code:
A-Z in increments of 10,000 0-10000-A and 260,000+-Z
Mileage Code:
...
41
INFERREDDATE4
1
VARCHAR
HH
✓
✓
A
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
Inferred Purchase Date Co ...
42
INTERNAL1
255
VARCHAR
N/A
✓
✓
N/A
Future Use
Future Use ...
43
INTERNAL2
255
VARCHAR
N/A
✓
✓
N/A
Future Use
Future Use ...
44
INTERNAL3
255
VARCHAR
N/A
✓
✓
N/A
Future Use
Future Use ...
45
INTERNAL4
255
VARCHAR
N/A
✓
✓
N/A
Future Use
Future Use ...
Auto Intelligence Models (In-Market and Affinities)
# Field Number
Field Name Field Name
Length Max Field Length
Format
Level The level at which a given data element is
matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Description Description
46
IN_MARKET_NEW_SEGMENTS
1
INTEGER
HH
✓
✓
M
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
Predicts the likelihood t ...
47
IN_MARKET_NEW_SCORE
3
INTEGER
HH
✓
✓
M
Score that predicts the likelihood that a consumer is likely to purchase a new
vehicle
(for machine learning algorithms), Numeric values 1-100. 1 = highest propensity, 100 = lowest
propensity.
Score that predicts the l ...
48
IN_MARKET_USED_SEGMENTS
1
INTEGER
HH
✓
✓
M
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
Predicts the likelihood t ...
49
IN_MARKET_USED_SCORE
3
INTEGER
HH
✓
✓
M
Score that predicts the likelihood that a consumer is likely to purchase a
used
vehicle. Numeric values 1-100 (for machine learning algorithms). 1 = highest propensity, 100 =
lowest
propensity.
Score that predicts the l ...
50
CHEVROLET_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
51
DODGE_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
52
FORD_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
53
GMC_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
54
HONDA_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
55
HYUNDAI_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
56
TOYOTA_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
57
NISSAN_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
58
JEEP_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
59
CHRYSLER_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
60
LEXUS_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
61
CADILLAC_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
62
BMW_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
63
MERCEDESBENZ_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
64
VOLVO_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
65
INFINITI_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
66
AUDI_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
67
LINCOLN_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
68
LANDROVER_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
69
TRUCK_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
70
SUV_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
71
COUPE_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
72
SEDAN_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
73
VAN_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
74
HYBRID_AFFINITY
1
INTEGER
HH
✓
✓
M
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
Score that predicts the a ...
75
INTERNAL5
255
VARCHAR
N/A
✓
✓
N/A
Future Use
Future Use ...
76
INTERNAL6
255
VARCHAR
N/A
✓
✓
N/A
Future Use
Future Use ...
77
INTERNAL7
255
VARCHAR
N/A
✓
✓
N/A
Future Use
Future Use ...
78
INTERNAL8
255
VARCHAR
N/A
✓
✓
N/A
Future Use
Future Use ...
79
INTERNAL9
255
VARCHAR
N/A
✓
✓
N/A
Future Use
Future Use ...
80
INTERNAL10
255
VARCHAR
N/A
✓
✓
N/A
Future Use
Future Use ...
81
INTERNAL11
255
VARCHAR
N/A
✓
✓
N/A
Future Use
Future Use ...
82
INTERNAL12
255
VARCHAR
N/A
✓
✓
N/A
Future Use
Future Use ...
83
INTERNAL13
255
VARCHAR
N/A
✓
✓
N/A
Future Use
Future Use ...
84
INTERNAL14
255
VARCHAR
N/A
✓
✓
N/A
Future Use
Future Use ...
85
INTERNAL15
255
VARCHAR
N/A
✓
✓
N/A
Future Use
Future Use ...
Property - Premium Package
TCI Linkage Information
# Field Number
Field Name Field Name
Length
Format
Values Description Values Description
1
ADDRID
50
VARCHAR
Persistent ID assigned to addresses identified in the Infutor Graph
Persistent ID assigned to ...
General Property Information
# Field Number
Field Name Field Name
Length
Format
Values Description Values Description
2
PROP_OWNEROCC
1
VARCHAR
Y - Property is Owner Occupied
Y - Property is Owner Occ ...
3
PROP_IND
3
VARCHAR
A general code used to easily recognize specific property types (e.g,
Residential,
Condominium, Commercial). Please see "PROP_IND" table for code descriptions and/or click on the
field
name to view individual codes descriptions
A general code used to ea ...
4
PROP_MOBHOME
1
VARCHAR
Y - Mobile Home present on the Parcel
Y - Mobile Home present o ...
5
PROP_STYLE
3
VARCHAR
Type of building style (e.g., Colonial, Cape Code, Bungalow). Please see
"PROP_STYLE"
table for code descriptions and/or click on the field name to view individual codes descriptions
Type of building style (e ...
6
PROP_STORIESCD
3
VARCHAR
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
Type / number of stories ...
7
PROP_QLTY
3
VARCHAR
"Type of construction quality of building:
QAV - Average
QBA - Below Average
QVV - Above Average
QPO - Poor
QEX - Excellent
QLU - Luxury
999 - Bypass
QGO - Good
QLO - Low
QFA - Fair
QEC - Economical"
"Type of construction qua ...
8
PROP_COND
3
VARCHAR
This represents the physical condition of the building (e.g., Good, Fair,
Under
Construction). Please see "PROP_COND" table for code descriptions and/or click on the field name
to
view
individual codes descriptions
This represents the physi ...
9
PROP_CNSTRTYPE
3
VARCHAR
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
The primary method of con ...
10
PROP_EXTNW
3
VARCHAR
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
The type and/or finish of ...
11
PROP_VALCALC
11
VARCHAR
The total (e.g., Land + Improvement) Value closest to current market value
used
for
assessment by county or local taxing authorities
The total (e.g., Land + I ...
12
PROP_VAL_CALCIND
1
VARCHAR
"Type of values used to seed the total value calculated field:
A - Assessed
M - Market
P - Appraised
T - Transitional"
"Type of values used to s ...
13
PROP_IMP_VALCALC
11
VARCHAR
The "IMPROVEMENT" Value closest to current market value used for assessment by
county
or local taxing authorities
The "IMPROVEMENT" Value c ...
14
PROP_IMP_VALCALC_IND
1
VARCHAR
"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"
"The ""IMPROVEMENT"" Valu ...
15
PROP_ASSED_VAL
11
VARCHAR
The Total Assessed Value of the Parcel's Land & Improvement values as
provided
by
the county or local taxing/assessment authority
The Total Assessed Value ...
16
PROP_ASSED_IMPVAL
1
VARCHAR
The Assessed Improvement Values as provided by the county or local
taxing/assessment
authority
The Assessed Improvement ...
17
PROP_MRKTVAL
11
VARCHAR
Total Market Value of the Parcel's Land & Improvement values as provided
by
the
county or local taxing/assessment authority
Total Market Value of the ...
18
PROP_MRKT_IMPVAL
11
VARCHAR
Market Improvement Values as provided by the county or local taxing/assessment
authority
Market Improvement Values ...
19
PROP_APPRAISED_VAL
11
VARCHAR
The Total Appraised Value of the Parcel's Land & Improvement values as
provided by the county or local taxing/assessment authority
The Total Appraised Value ...
20
PROP_APPRAISED_IMPVAL
11
VARCHAR
The Appraised Improvement Values as provided by the county or local
taxing/assessment
authority
The Appraised Improvement ...
Property Attributes
# Field Number
Field Name Field Name
Length
Format
Values Description Values Description
21
PROP_YRBLD
4
VARCHAR
The Appraised Improvement Values as provided by the county or local
taxing/assessment
authority
The Appraised Improvement ...
22
PROP_EFFYRBLD
4
VARCHAR
The Appraised Improvement Values as provided by the county or local
taxing/assessment
authority. 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)
The Appraised Improvement ...
23
PROP_VIEW
3
VARCHAR
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
View from building (e.g., ...
24
PROP_LCTN_INFL
3
VARCHAR
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.
Positive or negative aspe ...
25
PROP_ACRES
13
VARCHAR
Total land mass in Acres. (4 decimal points)Example: 13000 = 1.3 Acres
Total land mass in Acres. ...
26
PROP_LANDSQFT
9
VARCHAR
Total land mass is Square Feet
Total land mass is Square ...
27
PROP_UNVBLDSQFT
9
VARCHAR
The Building Square Footage that can most accurately be used for assessments
or
comparables (e.g., Living, Adjusted, Gross)
The Building Square Foota ...
28
PROP_BLDSQFTIND
1
VARCHAR
"The codes appearing in this field indicate the source used to populate the
UNIVERSAL
BUILDING SQUARE FEET field:
R - GROUND FLOOR LEVEL
H - HEATED AREA
M - MAIN OR BASE AREA
B - BUILDING
A - ADJUSTED
L - LIVING
G - GROSS"
"The codes appearing in t ...
29
PPROP_BLDSQFT
9
VARCHAR
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
The size of the building ...
30
PROP_LIVINGSQFT
7
VARCHAR
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
Area of a building that i ...
31
PROP_GROSSSQFT
7
VARCHAR
Square footage for the entire building. Typically this represents all square
feet
under the roof
Square footage for the en ...
32
PROP_ADJGROSSSQFT
7
VARCHAR
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
Square footage used by th ...
33
PROP_RMS
5
VARCHAR
Total number of rooms contained in the primary building
Total number of rooms con ...
34
PROP_BEDRMS
5
VARCHAR
Total number of bedrooms contained in the primary building
Total number of bedrooms ...
35
PROP_BATHSCALC
5
VARCHAR
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)
Total number of Bathrooms ...
36
PROP_BATHS
5
VARCHAR
Total number of Bathrooms as provided by our data sources (e.g., 4.00, 2.50,
1.75)
Total number of Bathrooms ...
37
PROP_FULLBATHS
5
VARCHAR
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
Total number of Full Bath ...
38
PROP_AC
3
VARCHAR
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
The type of air condition ...
39
PROP_FRPL
1
VARCHAR
Y - Fireplace is located within the building
Y - Fireplace is located ...
40
PROP_FND
3
VARCHAR
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
The type of foundation (e ...
41
PROP_FLR
3
VARCHAR
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
The type of floor constru ...
42
PROP_GAR
3
VARCHAR
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
Type of garage or carport ...
43
PROP_HEAT
3
VARCHAR
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
Type or method of heating ...
44
PROP_POOL
1
VARCHAR
Y - Pool Present in Parcel
Y - Pool Present in Parce ...
45
PROP_ROOFCOVER
3
VARCHAR
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
Type of roof covering (e. ...
46
PROP_ROOFTYPE
3
VARCHAR
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
Type of roof shape (e.g., ...
47
PROP_ENERGY
3
VARCHAR
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
Type of electricity or en ...
48
PROP_FUEL
3
VARCHAR
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
Type of fuel used for hea ...
49
PROP_SEWER
3
VARCHAR
"Type Of Sewer System On The Parcel:
0 - None
999 - Bypass
SPU - Public
SCE - Cesspool
SSE - Septic
SPR - Private
STR - Storm
SCO - Commercial"
"Type Of Sewer System On ...
50
PROP_WATER
3
VARCHAR
"Type Of Water Service On The Parcel:
0 - None
999 - Bypass
WPU- Public
WSC - Spring/Creek
WWE - Well
WPR - Private
WCO - Commercial
WPW - Public Well
WCI - Cistern"
"Type Of Water Service On ...
Assessor/Deed Information
# Field Number
Field Name Field Name
Length
Format
Values Description Values Description
51
PROP_HOMESTEAD
1
VARCHAR
Y - Owner qualified for a Homeowner/Homestead exemption
Y - Owner qualified for a ...
52
PROP_XMTVET
10
VARCHAR
"If State has such an exemption and it has been granted then a flag:
Combat Vet
Veteran"
"If State has such an exe ...
53
PROP_XMT_DISABLED
10
VARCHAR
"If State has such an exemption and it has been granted then a flag:
Disabled
Blind"
"If State has such an exe ...
54
PROP_TAXAMT
11
VARCHAR
The Total Tax amount provided by the county or local taxing/assessment
authority
The Total Tax amount prov ...
55
PROP_SALESDEEDCD
1
VARCHAR
"The type of deed used to record the sales transaction:
U - Foreclouse
Q - Quit Claim
X - Multi CNTY/ST or Open-End-MTG
T - Deed of Trust
G - Deed
D - Release of Deed of Trust/MTG
F - Final Judgement
J - Mechanic Liens
L - Lis Pendens
N - Notice of Default
R - Release/Recision
S - Loan Assignment"
"The type of deed used to ...
56
PROP_SALEDATE
8
VARCHAR
Date the sales transaction was legally completed -YYYYMMDD
Date the sales transactio ...
57
PROP_SALEAMT
11
VARCHAR
Price of the sale as depicted on the recorded sales transaction
Price of the sale as depi ...
58
PROP_SALECD
1
VARCHAR
"Financial Consideration Code:
V - Verified
R - Lease
P - Sale Price (Partial)
C - Confirmed
N - Stamps on Back/Non-Disclosed
F - Sale Price (Full)
E - Estimated
L - Commited"
"Financial Consideration ...
59
PROP_SALESTRANSCD
2
VARCHAR
"This identifies situations associated with the sale:
1 - Resale
2 - Refinance
3 - Subdivision/new construction
4 - Timeshare
6 - Construction Loan
7 - Seller Carryback
9 - Nominal
D - Release of Deed
S - Assignment of Deed of Trust"
"This identifies situatio ...
Mortgage Information
# Field Number
Field Name Field Name
Length
Format
Values Description Values Description
60
PROP_OWNERCD
3
VARCHAR
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
The type of ownership in ...
61
PROP_LOANTOVAL
3
VARCHAR
If provided on the note and recorded, loan to value ratio (e.g.,
47,118,61,185)
If provided on the note a ...
62
PROP_MTGAMT
11
VARCHAR
Amount of Loan
Amount of Loan ...
63
PROP_MTGDATE
8
VARCHAR
Date Mortgage was initiated - YYYYMMDD
Date Mortgage was initiat ...
64
PROP_MTGLOANCD
5
VARCHAR
"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"
"Associated with the Mort ...
65
PROP_MTGTERM
5
VARCHAR
The length of time per the mortgage (e.g., 15 years, 30 years, etc)
The length of time per th ...
66
PROP_MTGDUEDATE
8
VARCHAR
Date Mortgage becomes due - YYYYMMDD
Date Mortgage becomes due ...
67
PROP_LENDERNAME
60
VARCHAR
Name of Lender
Name of Lender ...
68
PROP_MTGREFICD
1
VARCHAR
"Was it a refinance of existing/prior mortgage:
Y - Yes
T - Trust"
"Was it a refinance of ex ...
69
PROP_RMSEQUITYCD
1
VARCHAR
Y - If equity in property was acknowledged
Y - If equity in property ...
70
PROP_MTGINTRATE
6
VARCHAR
"Rate Associated with Mortgage (4 decimal)
Example: 47300 - 4.73%"
"Rate Associated with Mor ...
71
PROP_MTGINTRATETYPE
3
VARCHAR
"Mortgage Rate Type:
FIX - Fixed
ADJ - Adjustable
VAR - Variable
BAL - Balloon"
"Mortgage Rate Type:
...
72
PROP_MTGAMT2
11
VARCHAR
Amount of 2nd mortgage
Amount of 2nd mortgage ...
73
PROP_MTGDATE2
8
VARCHAR
Date 2nd Mortgage was initiated - YYYYMMDD
Date 2nd Mortgage was ini ...
74
PROP_MTGLOANCD2
5
VARCHAR
"Associated with the 2nd 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"
"Associated with the 2nd ...
75
PROP_MTGDEEDCD2
6
VARCHAR
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
2nd Deed used for recordi ...
76
PROP_MTGTERM2
5
VARCHAR
The length of time per the 2nd mortgage (e.g., 15 years, 30 years, etc)
The length of time per th ...
77
PROP_MTGDUEDATE2
8
VARCHAR
Date 2nd Mortgage becomes due - YYYYMMDD
Date 2nd Mortgage becomes ...
78
PROP_MTGASSUMPTIONAMT2
9
VARCHAR
Amount of 2nd mortgage was assumed and rolled. (e.g., 65750, 130000, 162500,
50000)
Amount of 2nd mortgage wa ...
79
PROP_LENDERNAME2
60
VARCHAR
Name of Lender 2
Name of Lender 2 ...
80
PROP_MTGREFICD2
1
VARCHAR
"Was it a refinance of existing/prior 2nd mortgage:
Y - Yes
T - Trust"
"Was it a refinance of ex ...
81
PROP_RMSEQUITYCD2
1
VARCHAR
Y - If 2nd equity in property was acknowledged
Y - If 2nd equity in prop ...
82
PROP_MTGINTRATE2
6
VARCHAR
"2nd Rate Associated with Mortgage (4 decimal)
Example: 47300 - 4.73%"
"2nd Rate Associated with ...
83
PROP_MTGINTRATETYPE2
3
VARCHAR
"Mortgage Rate Type 2:
FIX - Fixed
ADJ - Adjustable
VAR - Variable
BAL - Balloon"
"Mortgage Rate Type 2:
...
84
PROP_MTGAMT3
11
VARCHAR
Amount of 3rd mortgage
Amount of 3rd mortgage ...
85
PROP_MTGDATE3
8
VARCHAR
Date 3rd Mortgage was initiated - YYYYMMDD
Date 3rd Mortgage was ini ...
86
PROP_MTGLOANCD3
5
VARCHAR
"Associated with the 3rd 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"
"Associated with the 3rd ...
87
PROP_MTGDEEDCD3
6
VARCHAR
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
3rd Deed used for recordi ...
88
PROP_MTGTERM3
5
VARCHAR
The length of time per the 3rd mortgage (e.g., 15 years, 30 years, etc)
The length of time per th ...
89
PROP_MTGDUEDATE3
8
VARCHAR
Date 3rd Mortgage becomes due - YYYYMMDD
Date 3rd Mortgage becomes ...
90
PROP_MTGASSUMPTIONAMT3
9
VARCHAR
Amount of 3rd mortgage was assumed and rolled. (e.g., 65750, 130000, 162500,
50000)
Amount of 3rd mortgage wa ...
91
PROP_LENDERNAME3
60
VARCHAR
Name of Lender 3
Name of Lender 3 ...
92
PROP_MTGREFICD3
1
VARCHAR
"Was it a refinance of existing/prior 3rd mortgage:
Y - Yes
T - Trust"
"Was it a refinance of ex ...
93
PROP_RMSEQUITYCD3
1
VARCHAR
Y - If 3rd equity in property was acknowledged
Y - If 3rd equity in prop ...
94
PROP_MTGINTRATE3
6
VARCHAR
"3rd Rate Associated with Mortgage (4 decimal)
Example: 47300 - 4.73%"
"3rd Rate Associated with ...
95
PROP_MTGINTRATETYPE3
3
VARCHAR
"Mortgage Rate Type 3:
FIX - Fixed
ADJ - Adjustable
VAR - Variable
BAL - Balloon"
"Mortgage Rate Type 3:
...
Property Intelligence (AVM & Home Equity)
# Field Number
Field Name Field Name
Length
Format
Values Description Values Description
97
HEQUITY_EST
12
FLOAT
Estimate of Homeowner Equity in the Property in Dollars
Estimate of Homeowner Equ ...
98
HEQUITY_CONF
1
VARCHAR
"Home Equity Estimate Confidence Level (from 1 to 4)
1 - High confidence Home Equity prediction
2 - Medium confidence Home Equity predictions
3 - Medium-Low confidence Home Equity predictions
4 - Low confidence Home Equity predictions"
"Home Equity Estimate Con ...
99
AVM_ESTIMATE
12
FLOAT
Estimate of Property Value in Dollars
Estimate of Property Valu ...
100
AVM_ESTIMATE_ERROR
7
FLOAT
Estimate Error in Dollars (based on zip or national if zip not available)
Estimate Error in Dollars ...
101
AVM_ESTIMATE_PCT_ERROR
3
FLOAT
Estimate Error as a percentage of Estimate Value (000-999, based on zip or
national if
zip not available)
Estimate Error as a perce ...
102
INTERNAL1
255
VARCHAR
Internal Use
Internal Use ...
103
INTERNAL2
255
VARCHAR
Internal Use
Internal Use ...
104
INTERNAL3
255
VARCHAR
Internal Use
Internal Use ...
105
INTERNAL4
255
VARCHAR
Internal Use
Internal Use ...
106
INTERNAL5
3
VARCHAR
Internal Use
Internal Use ...
107
INTERNAL6
255
VARCHAR
Internal Use
Internal Use ...
108
INTERNAL7
3
VARCHAR
Internal Use
Internal Use ...
Green - Premium Package
# Field Number
Field Name Field Name
Max Max Field Length
Format Field Format
Level The level at which a given data element is
matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Description Description
1
PID
32
VARCHAR
I
N/A
Up to 32-Character Alphanumeric Persistent ID. Use this field to link to TCI.
Up to 32-Character Alphan ...
2
GV_SEGMENT
2
INTEGER
I
M
See tab - Green Vue Segments
See tab - Green Vue Segme ...
3
GV_LUXURY_EURO_CENT
2
INTEGER
I
M
"Luxury Vehicles European propensity values:
01 (Highly Unlikely/ Lowest Propensity)- 99 (Highly Likely/ Highest Propensity) "
This value is a measure of the likelihood of a green consumer to purchase a
European
luxury car brand (i.e BMW, Mercedes-Benz, Audi, Volvo, Volkswagen) expressed in percentiles from
1-99.
Values are represented in one percent increments allowing for granular analysis. The Green
propensities
utilize a variety of data sources including publicly available records (e.g. Census, County
Assessor),
opted-in transactional/ purchasing data (e.g. retail channels, direct marketing) and
self-reported
information (e.g. survey respondents, social media content). The resulting dataset includes a
combination of deterministic, inferred, and modeled attributes.
This value is a measure o ...
4
GV_LUXURY_EURO
1
INTEGER
I
M
"Luxury Vehicles European propensity score:
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity"
This selection is a measure of the likelihood of a consumer to purchase an
European
luxury car brand expressed in a 1-5 score. It is a probalistic segment, modeled from a range of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This selection is a measu ...
5
GV_LUXURY_ASIA_CENT
2
INTEGER
I
M
Luxury Vehicles Asian propensity values: 01 (Highly Unlikely/ Lowest
Propensity)-
99
(Highly Likely/ Highest Propensity)
This value is a measure of the likelihood of a consumer to purchase an Asian
luxury
car brand expressed in percentiles from 1-99. They are represented in one percent increments
allowing
for granular analysis. It is a probalistic segment, modeled from a range of different data sets
&
attributes – e.g. demographics, financials, purchase activity, attitudinal surveys, property
attributes,
lifestyles, media and social media habits.
This value is a measure o ...
6
GV_LUXURY_ASIA
1
INTEGER
I
M
"Luxury Vehicles Asian propensity score:
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity"
This selection is a measure of the likelihood of a consumer to purchase an
Asian
luxury car brand expressed in a 1-5 score. It is a probalistic segment, modeled from a range of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This selection is a measu ...
7
GV_LUXURY_DOMESTIC_CENT
2
INTEGER
I
M
Luxury Vehicles Domestic propensity values: 01 (Highly Unlikely/ Lowest
Propensity)-
99 (Highly Likely/ Highest Propensity)
This value is a measure of the likelihood of a consumer to purchase a domestic
luxury
car brand expressed in percentiles from 1-99. They are represented in one percent increments
allowing
for granular analysis. It is a probalistic segment, modeled from a range of different data sets
&
attributes – e.g. demographics, financials, purchase activity, attitudinal surveys, property
attributes,
lifestyles, media and social media habits.
This value is a measure o ...
8
GV_LUXURY_DOMESTIC
1
INTEGER
I
M
"Luxury Vehicles Domestic propensity score:
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity"
This selection is a measure of the likelihood of a consumer to purchase a
domestic
luxury car brand expressed in a 1-5 score. It is a probalistic segment, modeled from a range of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This selection is a measu ...
9
GV_EV_EURO_CROSS_CENT
2
INTEGER
I
M
Electric Crossover Vehicles European propensity values: 01 (Highly Unlikely/
Lowest
Propensity)- 99 (Highly Likely/ Highest Propensity)
This value is a measure of the likelihood of a consumer to purchase an
electric
Crossover car from an European brand expressed in percentiles from 1-99. They are represented in
one
percent increments allowing for granular analysis. It is a probalistic segment, modeled from a
range
of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This value is a measure o ...
10
GV_EV_EURO_CROSS
1
INTEGER
I
M
"Electric Crossover Vehicles European propensity score:
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity"
This selection is a measure of the likelihood of a consumer to purchase an
electric
Crossover car from an European brand expressed in a 1-5 score. It is a probalistic segment,
modeled
from
a range of different data sets & attributes – e.g. demographics, financials, purchase
activity,
attitudinal surveys, property attributes, lifestyles, media and social media habits.
This selection is a measu ...
10
GV_EV_EURO_CROSS
2
INTEGER
I
M
"Electric Crossover Vehicles European propensity score:
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity"
This selection is a measure of the likelihood of a consumer to purchase an
electric
Crossover car from an European brand expressed in a 1-5 score. It is a probalistic segment,
modeled
from
a range of different data sets & attributes – e.g. demographics, financials, purchase
activity,
attitudinal surveys, property attributes, lifestyles, media and social media habits.
This selection is a measu ...
11
GV_EV_EURO_SED_CENT
2
INTEGER
I
M
Electric Sedan Vehicles European propensity values: 01 (Highly Unlikely/
Lowest
Propensity)- 99 (Highly Likely/ Highest Propensity)
This value is a measure of the likelihood of a consumer to purchase an
electric
Sedan
car from an European brand expressed in percentiles from 1-99. They are represented in one
percent
increments allowing for granular analysis. It is a probalistic segment, modeled from a range of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This value is a measure o ...
12
GV_EV_EURO_SED
1
INTEGER
I
M
"Electric Sedan Vehicles European propensity score:
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity"
This selection is a measure of the likelihood of a consumer to purchase an
electric
Sedan car from an European brand expressed in a 1-5 score. It is a probalistic segment, modeled
from
a
range of different data sets & attributes – e.g. demographics, financials, purchase
activity,
attitudinal surveys, property attributes, lifestyles, media and social media habits.
This selection is a measu ...
13
GV_EV_DOMESTIC_CROSS_CENT
2
INTEGER
I
M
Electric Crossover Vehicles Domestic propensity values: 01 (Highly Unlikely/
Lowest
Propensity)- 99 (Highly Likely/ Highest Propensity)
This value is a measure of the likelihood of a consumer to purchase an
electric
Crossover car from a domestic brand expressed in percentiles from 1-99. They are represented in
one
percent increments allowing for granular analysis. It is a probalistic segment, modeled from a
range
of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This value is a measure o ...
14
GV_EV_DOMESTIC_CROSS
1
INTEGER
I
M
"Electric Crossover Vehicles Domestic propensity score:
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity"
This selection is a measure of the likelihood of a consumer to purchase an
electric
Crossover car from a domestic brand expressed in a 1-5 score. It is a probalistic segment,
modeled
from
known behaviors & consumer purchase activity from Market Vue.
This selection is a measu ...
15
GV_EV_DOMESTIC_PICKUP_CENT
2
INTEGER
I
M
Electric Pickup Vehicles Domestic propensity values: 01 (Highly Unlikely/
Lowest
Propensity)- 99 (Highly Likely/ Highest Propensity)
This value is a measure of the likelihood of a consumer to purchase an
electric
Pickup
car from a domestic brand expressed in percentiles from 1-99. They are represented in one
percent
increments allowing for granular analysis. It is a probalistic segment, modeled from a range of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This value is a measure o ...
16
GV_EV_DOMESTIC_PICKUP
1
INTEGER
I
M
"Electric Pickup Vehicles Domestic propensity score:
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity"
This selection is a measure of the likelihood of a consumer to purchase an
electric
Pickup car from a domestic brand expressed in a 1-5 score. It is a probalistic segment, modeled
from
a
range of different data sets & attributes – e.g. demographics, financials, purchase
activity,
attitudinal surveys, property attributes, lifestyles, media and social media habits.
This selection is a measu ...
17
GV_EV_DOMESTIC_SED_CENT
2
INTEGER
I
M
Electric Sedan Vehicles Domestic propensity values: 01 (Highly Unlikely/
Lowest
Propensity)- 99 (Highly Likely/ Highest Propensity)
This value is a measure of the likelihood of a consumer to purchase an
electric
Sedan
car from a domestic brand expressed in percentiles from 1-99. They are represented in one
percent
increments allowing for granular analysis. It is a probalistic segment, modeled from a range of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This value is a measure o ...
18
GV_EV_DOMESTIC_SED
1
INTEGER
I
M
"Electric Sedan Vehicles Domestic propensity score:
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity"
This selection is a measure of the likelihood of a consumer to purchase an
electric
Sedan car from a domestic brand expressed in a 1-5 score. It is a probalistic segment, modeled
from
a
range of different data sets & attributes – e.g. demographics, financials, purchase
activity,
attitudinal surveys, property attributes, lifestyles, media and social media habits.
This selection is a measu ...
19
GV_HYB_ASIA_SED_CENT
2
INTEGER
I
M
Hybrid Sedan Vehicles Asian propensity values: 01 (Highly Unlikely/ Lowest
Propensity)- 99 (Highly Likely/ Highest Propensity)
This value is a measure of the likelihood of a consumer to purchase a hybrid
Sedan
car
from an Asian brand expressed in percentiles from 1-99. They are represented in one percent
increments
allowing for granular analysis. It is a probalistic segment, modeled from a range of different
data
sets
& attributes – e.g. demographics, financials, purchase activity, attitudinal surveys,
property
attributes, lifestyles, media and social media habits.
This value is a measure o ...
20
GV_HYB_ASIA_SED
1
INTEGER
I
M
"Hybrid Sedan Vehicles Asian propensity score:
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity"
This selection is a measure of the likelihood of a consumer to purchase a
hybrid
Sedan
car from an Asian brand expressed in a 1-5 score. It is a probalistic segment, modeled from a
range
of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This selection is a measu ...
21
GV_HYB_ASIA_CROSS_CENT
2
INTEGER
I
M
Hybrid Crossover Vehicles Asian propensity values: 01 (Highly Unlikely/ Lowest
Propensity)- 99 (Highly Likely/ Highest Propensity)
This value is a measure of the likelihood of a consumer to purchase a hybrid
Crossover
car from an Asian brand expressed in percentiles from 1-99. They are represented in one percent
increments allowing for granular analysis. It is a probalistic segment, modeled from a range of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This value is a measure o ...
22
GV_HYB_ASIA_CROSS
1
INTEGER
I
M
"Hybrid Crossover Vehicles Asian propensity score:
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity"
This selection is a measure of the likelihood of a consumer to purchase a
hybrid
Crossover car from an Asian brand expressed in a 1-5 score. It is a probalistic segment, modeled
from
known behaviors & consumer purchase activity from Market Vue.
This selection is a measu ...
23
GV_HYB_ASIA_PICKUP_CENT
2
INTEGER
I
M
Hybrid Pickup Vehicles Asian propensity values: 01 (Highly Unlikely/ Lowest
Propensity)- 99 (Highly Likely/ Highest Propensity)
This value is a measure of the likelihood of a consumer to purchase a hybrid
Pickup
car from an Asian brand expressed in percentiles from 1-99. They are represented in one percent
increments allowing for granular analysis. It is a probalistic segment, modeled from a range of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This value is a measure o ...
24
GV_HYB_ASIA_PICKUP
1
INTEGER
I
M
"Hybrid Pickup Vehicles Asian propensity score:
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity"
This selection is a measure of the likelihood of a consumer to purchase a
hybrid
Pickup car from an Asian brand expressed in a 1-5 score. It is a probalistic segment, modeled
from
known
behaviors & consumer purchase activity from Market Vue.
This selection is a measu ...
25
GV_HYB_DOMESTIC_SED_CENT
2
INTEGER
I
M
Hybrid Sedan Vehicles Domestic propensity values: 01 (Highly Unlikely/ Lowest
Propensity)- 99 (Highly Likely/ Highest Propensity)
This value is a measure of the likelihood of a consumer to purchase a hybrid
Sedan
car
from a domestic brand expressed in percentiles from 1-99. They are represented in one percent
increments
allowing for granular analysis. It is a probalistic segment, modeled from a range of different
data
sets
& attributes – e.g. demographics, financials, purchase activity, attitudinal surveys,
property
attributes, lifestyles, media and social media habits.
This value is a measure o ...
26
GV_HYB_DOMESTIC_SED
1
INTEGER
I
M
"Hybrid Sedan Vehicles Domestic propensity score:
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity"
This selection is a measure of the likelihood of a consumer to purchase a
hybrid
Sedan
car from a domestic brand expressed in a 1-5 score. It is a probalistic segment, modeled from
known
behaviors & consumer purchase activity from Market Vue.
This selection is a measu ...
27
GV_HYB_DOMESTIC_CROSS_CENT
2
INTEGER
I
M
Hybrid Crossover Vehicles Domestic propensity values: 01 (Highly Unlikely/
Lowest
Propensity)- 99 (Highly Likely/ Highest Propensity)
This value is a measure of the likelihood of a consumer to purchase a hybrid
Crossover
car from a domestic brand expressed in percentiles from 1-99. They are represented in one
percent
increments allowing for granular analysis. It is a probalistic segment, modeled from a range of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This value is a measure o ...
28
GV_HYB_DOMESTIC_CROSS
1
INTEGER
I
M
"Hybrid Crossover Vehicles Domestic propensity score:
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity"
This selection is a measure of the likelihood of a consumer to purchase a
hybrid
Crossover car from a domestic brand expressed in a 1-5 score. It is a probalistic segment,
modeled
from
a range of different data sets & attributes – e.g. demographics, financials, purchase
activity,
attitudinal surveys, property attributes, lifestyles, media and social media habits.
This selection is a measu ...
29
GV_HYB_DOMESTIC_PICKUP_CENT
2
INTEGER
I
M
Hybrid Pickup Vehicles Domestic propensity values: 01 (Highly Unlikely/ Lowest
Propensity)- 99 (Highly Likely/ Highest Propensity)
This value is a measure of the likelihood of a consumer to purchase a hybrid
pickup
car from a domestic brand expressed in percentiles from 1-99. They are represented in one
percent
increments allowing for granular analysis. It is a probalistic segment, modeled from a range of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This value is a measure o ...
30
GV_HYB_DOMESTIC_PICKUP
1
INTEGER
I
M
"Hybrid Pickup Vehicles Domestic propensity score:
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity"
This selection is a measure of the likelihood of a consumer to purchase a
hybrid
Pickup car from a domestic brand expressed in a 1-5 score. It is a probalistic segment, modeled
from
a
range of different data sets & attributes – e.g. demographics, financials, purchase
activity,
attitudinal surveys, property attributes, lifestyles, media and social media habits.
This selection is a measu ...
31
GV_HYB_EURO_SED_CENT
2
INTEGER
I
M
Hybrid Sedan Vehicles European propensity values: 01 (Highly Unlikely/ Lowest
Propensity)- 99 (Highly Likely/ Highest Propensity)
This value is a measure of the likelihood of a consumer to purchase a hybrid
Sedan
car
from an European brand expressed in percentiles from 1-99. They are represented in one percent
increments allowing for granular analysis. It is a probalistic segment, modeled from known
behaviors
& consumer purchase activity from Market Vue.
This value is a measure o ...
32
GV_HYB_EURO_SED
1
INTEGER
I
M
"Hybrid Sedan Vehicles European propensity score:
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity"
This selection is a measure of the likelihood of a consumer to purchase a
hybrid
Sedan
car from an European brand expressed in a 1-5 score. It is a probalistic segment, modeled from a
range
of different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This selection is a measu ...
33
GV_HYB_EURO_CROSS_CENT
2
INTEGER
I
M
Hybrid Crossover Vehicles European propensity values: 01 (Highly Unlikely/
Lowest
Propensity)- 99 (Highly Likely/ Highest Propensity)
This value is a measure of the likelihood of a consumer to purchase a hybrid
Crossover
car from an European brand expressed in percentiles from 1-99. They are represented in one
percent
increments allowing for granular analysis. It is a probalistic segment, modeled from a range of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This value is a measure o ...
34
GV_HYB_EURO_CROSS
1
INTEGER
I
M
"Hybrid Crossover Vehicles European propensity score:
1 = Very Low Affinity
2 = Low Affinity
3 = Medium Affinity
4 = High Affinity
5 = Very High Affinity"
This selection is a measure of the likelihood of a consumer to purchase a
hybrid
Crossover car from an European brand expressed in a 1-5 score. It is a probalistic segment,
modeled
from
a range of different data sets & attributes – e.g. demographics, financials, purchase
activity,
attitudinal surveys, property attributes, lifestyles, media and social media habits.
This selection is a measu ...
Green Products & Services Models
# Field Number
Field Name Field Name
Max Max Field Length
Format Field Format
Level The level at which a given data element is
matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Description Description
35
GV_ENERGYEFF_CENT
2
INTEGER
I
M
Energy Efficient Home propensity values: 01 (Highly Unlikely/ Lowest
Propensity)-
99
(Highly Likely/ Highest Propensity)
This value is a measure of the likelihood of a consumer to have an energy
efficient
home as expressed in percentiles from 1-99. They are represented in one percent increments
allowing
for
granular analysis. It is a probalistic segment, modeled from a range of different data sets
&
attributes – e.g. demographics, financials, purchase activity, attitudinal surveys, property
attributes,
lifestyles, media and social media habits.
This value is a measure o ...
36
GV_ENERGYEFF
1
INTEGER
I
M
"Energy Efficient Home propensity score:
1 = Highly Unlikely
2 = Very Unlikely
3 = Neutral
4 = Very likely
5 = Highly Likely"
This selection is a measure of the likelihood of a consumer to have an energy
efficient home as expressed in a 1-5 score. It is a probalistic segment, modeled from a range of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This selection is a measu ...
37
GV_SOLAR_CENT
2
INTEGER
I
M
Solar energy propensity values: 01 (Highly Unlikely/ Lowest Propensity)- 99
(Highly
Likely/ Highest Propensity)
This value is a measure of the likelihood to have solar panels in the
household or
interest in solar energy expressed in percentiles from 1-99. They are represented in one percent
increments allowing for granular analysis. It is a probalistic segment, modeled from a range of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This value is a measure o ...
38
GV_SOLAR
1
INTEGER
I
M
"Solar energy propensity score:
1 = Highly Unlikely
2 = Very Unlikely
3 = Neutral
4 = Very likely
5 = Highly Likely"
This selection is a measure of the likelihood to have solar panels in the
household or
interest in solar energy expressed in a 1-5 score. It is a probalistic segment, modeled from a
range
of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This selection is a measu ...
39
GV_ORGANIC_CENT
2
INTEGER
I
M
Organic and natural foods propensity values: 01 (Highly Unlikely/ Lowest
Propensity)-
99 (Highly Likely/ Highest Propensity)
This value is a measure of the likelihood of a consumer to purchase organic
&
natural foods expressed in percentiles from 1-99. They are represented in one percent increments
allowing for granular analysis. It is a probalistic segment, modeled from a range of different
data
sets
& attributes – e.g. demographics, financials, purchase activity, attitudinal surveys,
property
attributes, lifestyles, media and social media habits.
This value is a measure o ...
40
GV_ORGANIC
1
INTEGER
I
M
"Organic and natural foods propensity score:
1 = Highly Unlikely
2 = Very Unlikely
3 = Neutral
4 = Very likely
5 = Highly Likely"
This selection is a measure of the likelihood pf a consumer to purchase
organic
&
natural foods expressed in a 1-5 score. It is a probalistic segment, modeled from a range of
different
data sets & attributes – e.g. demographics, financials, purchase activity, attitudinal
surveys,
property attributes, lifestyles, media and social media habits.
This selection is a measu ...
41
GV_NONTOXIC_CENT
2
INTEGER
I
M
Non Toxic Cleaning Supplies propensity values: 01 (Highly Unlikely/ Lowest
Propensity)- 99 (Highly Likely/ Highest Propensity)
This value is a measure of the likelihood for a consumer to purchase
environmentaly
safe cleaning and non toxic cleaners expressed in percentiles from 1-99. They are represented in
one
percent increments allowing for granular analysis. It is a probalistic segment, modeled from a
range
of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This value is a measure o ...
42
GV_NONTOXIC
1
INTEGER
I
M
"Non Toxic Cleaning Supplies propensity score:
1 = Highly Unlikely
2 = Very Unlikely
3 = Neutral
4 = Very likely
5 = Highly Likely"
This selection is a measure of the likelihood for a consumer to purchase
environmentaly safe cleaning and non toxic cleaners expressed in a 1-5 score. It is a
probalistic
segment, modeled from a range of different data sets & attributes – e.g. demographics,
financials,
purchase activity, attitudinal surveys, property attributes, lifestyles, media and social media
habits.
This selection is a measu ...
43
GV_APPLE_CENT
2
INTEGER
I
M
Apple products propensity values: 01 (Highly Unlikely/ Lowest Propensity)- 99
(Highly
Likely/ Highest Propensity)
This value is a measure of the likelihood for a consumer to purchase Apple
products
expressed in percentiles from 1-99. They are represented in one percent increments allowing for
granular
analysis. It is a probalistic segment, modeled from a range of different data sets &
attributes
–
e.g. demographics, financials, purchase activity, attitudinal surveys, property attributes,
lifestyles,
media and social media habits.
This value is a measure o ...
44
GV_APPLE
1
INTEGER
I
M
"Apple products propensity score:
1 = Highly Unlikely
2 = Very Unlikely
3 = Neutral
4 = Very likely
5 = Highly Likely"
This selection is a measure of the likelihood for a consumer to purchase Apple
products in a 1-5 score. It is a probalistic segment, modeled from a range of different data
sets
&
attributes – e.g. demographics, financials, purchase activity, attitudinal surveys, property
attributes,
lifestyles, media and social media habits.
This selection is a measu ...
45
GV_COSMETIC_MED_CENT
2
INTEGER
I
M
"Apple products propensity score:
1 = Highly Unlikely
2 = Very Unlikely
3 = Neutral
4 = Very likely
5 = Highly Likely"
This value is a measure of the likelihood for a consumer to engage in cosmetic
procedure expressed in percentiles from 1-99. They are represented in one percent increments
allowing
for granular analysis. It is a probalistic segment, modeled from a range of different data sets
&
attributes – e.g. demographics, financials, purchase activity, attitudinal surveys, property
attributes,
lifestyles, media and social media habits.
This value is a measure o ...
46
GV_COSMETIC_MED
1
INTEGER
I
M
"Cosmetic procedures propensity score:
1 = Highly Unlikely
2 = Very Unlikely
3 = Neutral
4 = Very likely
5 = Highly Likely""High interest in discretionary procedures"
This selection is a measure of the likelihood for a consumer to engage in
cosmetic
procedure expressed in a 1-5 score. It is a probalistic segment, modeled from a range of
different
data
sets & attributes – e.g. demographics, financials, purchase activity, attitudinal surveys,
property
attributes, lifestyles, media and social media habits.
This selection is a measu ...
47
GV_CONCIERGE_MED_CENT
2
INTEGER
I
M
Concierge medicine propensity values: 01 (Highly Unlikely/ Lowest Propensity)-
99
(Highly Likely/ Highest Propensity)
This value is a measure of the likelihood for a consumer to be interested in
concierge
& holistic medicine expressed in percentiles from 1-99. They are represented in one percent
increments allowing for granular analysis. It is a probalistic segment, modeled from a range of
different data sets & attributes – e.g. demographics, financials, purchase activity,
attitudinal
surveys, property attributes, lifestyles, media and social media habits.
This value is a measure o ...
48
GV_CONCIERGE_MED
1
INTEGER
I
M
"Concierge medicine propensity score:
1 = Highly Unlikely
2 = Very Unlikely
3 = Neutral
4 = Very likely
5 = Highly Likely"
This selection is a measure of the likelihood for a consumer to be interested
in
concierge & holistic medicine expressed in a 1-5 score. It is a probalistic segment, modeled
from a
range of different data sets & attributes – e.g. demographics, financials, purchase
activity,
attitudinal surveys, property attributes, lifestyles, media and social media habits.
This selection is a measu ...
49
GV_DISC_MED_CENT
2
INTEGER
I
M
Discretionary medicine propensity values: 01 (Highly Unlikely/ Lowest
Propensity)-
99
(Highly Likely/ Highest Propensity)
This value is a measure of the likelihood for a consumer to engage in
discretionary
procedures expressed in percentiles from 1-99. They are represented in one percent increments
allowing
for granular analysis. It is a probalistic segment, modeled from a range of different data sets
&
attributes – e.g. demographics, financials, purchase activity, attitudinal surveys, property
attributes,
lifestyles, media and social media habits.
This value is a measure o ...
50
GV_DISC_MED
1
INTEGER
I
M
"Discretionary medicine propensity score:
1 = Highly Unlikely
2 = Very Unlikely
3 = Neutral
4 = Very likely
5 = Highly Likely"
This selection is a measure of the likelihood for a consumer to engage in
discretionary medical procedures expressed in a 1-5 score. It is a probalistic segment, modeled
from
a
range of different data sets & attributes – e.g. demographics, financials, purchase
activity,
attitudinal surveys, property attributes, lifestyles, media and social media habits.
This selection is a measu ...
INTERNAL
# Field Number
Field Name Field Name
Max
51
INTERNAL
255
✓
✓
52
INTERNAL
255
✓
✓
53
INTERNAL
255
✓
✓
54
INTERNAL
255
✓
✓
55
INTERNAL
255
✓
✓
56
INTERNAL
255
✓
✓
57
INTERNAL
255
✓
✓
58
INTERNAL
255
✓
✓
59
INTERNAL
255
✓
✓
60
INTERNAL
255
✓
✓
61
INTERNAL
255
✓
✓
62
INTERNAL
255
✓
✓
63
INTERNAL
255
✓
✓
64
INTERNAL
255
✓
✓
65
INTERNAL
255
✓
✓
66
INTERNAL
255
✓
✓
67
INTERNAL
255
✓
✓
68
INTERNAL
255
✓
✓
69
INTERNAL
255
✓
✓
70
INTERNAL
255
✓
✓
71
INTERNAL
255
✓
✓
72
INTERNAL
255
✓
✓
73
INTERNAL
255
✓
✓
74
INTERNAL
255
✓
✓
75
INTERNAL
255
✓
✓
76
INTERNAL
255
✓
✓
77
INTERNAL
255
✓
✓
78
INTERNAL
255
✓
✓
79
INTERNAL
255
✓
✓
80
INTERNAL
255
✓
✓
Geocredit - Premium Package
TCI Linkage Information
# Field Number
Field Name Field Name
Max Max Field Length
Format Field Format
Level The level at which a given data element is
matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Description Description
1
PID
32
VARCHAR
I
N/A
Up to 32-Character Alphanumeric Persistent ID. Use this field to link to TCI.
Up to 32-Character Alphan ...
Geocredit Attributes
# Field Number
Field Name Field Name
LengthMax Field Length
Format Field Format
Level The level at which a given data element is
matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Description Description
2
VANTAGE_SCR
3
VARCHAR
Z4
M
Tri-bureau risk assessment model that predicts the likelihood of becoming a serious credit risk. The higher the score, the lower the risk.
Tri-bureau risk assessmen ...
3
VANTAGE_SCR_RNG
1
INTEGER
Z4
M
Credit Risk Score Ranges:
A - 300 - 499 (Very Poor)
B - 500 - 600 (Poor)
C - 601 - 660 (Fair)
D - 661 - 780 (Good)
E - 781 - 850 (Excellent)
Credit R ...
4
TOTALCR_PASTDUE_60D
3
INTEGER
Z4
M
Percentage of households with a credit relationship that has one more of accounts 60+ days past due. For example, the value represented for a Zip+4 = 40, this would be be interpreted as "For households in the Zip+4 area, 40% have one or more credit accounts that is 60 days or more past the due date". This measure is a key indicator for measuring financial stress.
Percenta ...
5
TOTALCR_UTILIZATION
3
INTEGER
Z4
M
Percentage of households credit utilization, which represents the used credit balance relative to available credit limit. For example, if the value represented for a Zip+4 = 40, this would be interpreted as "For households in a Zip+4 area, 40% of available credit is being utilized". This measure is a key indicator for measuring capacity to pay.
Percenta ...
6
ANYCR_INQUIRY
3
INTEGER
Z4
M
✓
Percentage of households with any type of hard credit inquiry in the last 3 months. For example, if the value represented for a Zip+4 = 40, this would be interpreted as "For households in a Zip+4 area, 40% had a credit inquiry in the past 3 months". This measure is a key indicator to determine financial activity.
Percentage of households ...
7
TOTALCR_SEVDEROG
3
INTEGER
Z4
M
✓
Percentage of households with a credit relationship that has one or more accounts in severe derogatory status. For example, if the value represented for a Zip+4 = 40, this would be interpreted as "For households in the Zip+4 area, 40% have one or more credit accounts in severe derogatory status". This measure is a key indicator to determine financial stress.
Percentage of households ...
8
TOTALCR_PASTDUE_3059D
3
INTEGER
Z4
M
✓
Percentage of households with a credit relationship that has one more of accounts that are 30-59 days past due. For example, if the value represented for a Zip+4 = 40, this would be interpreted as "For households in the Zip+4 area, 40% have one or more credit accounts that is 30-59 days past the due date". This measure is a key indicator to determine financial stress.
Percentage of households ...
9
BANKCC_HAVEACCNT
3
INTEGER
Z4
M
✓
Percentage of households with a bank credit card account. For example, if the value represented for a Zip+4 = 40, this would be interpreted as "For households in a Zip+4 area, 40% of households have a bank credit card account". This measure is a key indicator to determine capacity to pay. Bank credit cards are defined as unsecured or secured credit cards issued by a bank, national card company or credit union which includes revolving and open type accounts.
Percentage of households ...
10
BANKCC_UTILIZATION
3
INTEGER
Z4
M
✓
Percentage of households bank credit card utilization, which represents the used bank credit card balance relative to the available bank card credit limit. For example, if the value represented for a Zip+4 = 40, this would be interpreted as "For households in a Zip+4 area, 40% of available bank card credit is being utilized". This measure is a key indicator to determine capacity to pay. Bank credit cards are defined as unsecured or secured credit cards issued by a bank, national card company or credit union which includes revolving and open type accounts.
Percentage of households ...
11
BANKCC_NEWAGE
3
INTEGER
Z4
M
✓
Average minimum age of all bank card accounts on file (i.e. newest). This measure is a key indicator to determine capacity to pay. Bank credit cards are defined as unsecured or secured credit cards issued by a bank, national card company or credit union which includes revolving and open type accounts.
Average minimum age of al ...
Internal
# Field Number
Field Name Field Name
Max
12
Internal7
255
✓
✓
13
Internal8
255
✓
✓
14
Internal9
255
✓
✓
15
Internal10
255
✓
✓
16
Internal11
255
✓
✓
17
Internal12
255
✓
✓
18
Internal13
255
✓
✓
19
Internal14
255
✓
✓
20
Internal15
255
✓
✓
21
Internal16
255
✓
✓
22
Internal17
255
✓
✓
InMarket Scores - Premium Package
TCI Linkage Information
# Field Number
Field Name Field Name
Max Max Field Length
Format Field Format
Level The level at which a given data element is
matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Description Description
1
PID
32
VARCHAR
I
N/A
Up to 32-Character Alphanumeric Persistent ID. Use this field to link to TCI.
Up to 32-Character Alphan ...
InMarket Scores Attributes
# Field Number
Field Name Field Name
Length Max Field Length
Format
Level The level at which a given data element is
matched.
I: Individual
HH: Household
Z4: Zip4
Assignment M: Modeled
A: Actual
I: Inferred
Description Description
2
IMS_INSUR_HOME
2
INTEGER
I
A,M
InMarket Home Insurance Values Ranges: 1-8
1: Highest Likelihood to be In-market for Home Insurance
8: Lowest Likelihood to be In-market for Home Insurance
1: Highest Likelihood to be In-market for Home Insurance
8: Lowest Likelihood to be In-market for Home Insurance
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for home insurance. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
3
IMS_INSUR_AUTO
2
INTEGER
I
A,M
InMarket Auto Insurance Values Ranges: 1-8
1: Highest Likelihood to be In-market for Auto Insurance
8: Lowest Likelihood to be In-market for Auto Insurance
1: Highest Likelihood to be In-market for Auto Insurance
8: Lowest Likelihood to be In-market for Auto Insurance
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for auto insurance. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
4
IMS_INSUR_LIFE
2
INTEGER
I
A,M
InMarket Life Insurance Values Ranges: 1-8
1: Highest Likelihood to be In-market for Life Insurance
8: Lowest Likelihood to be In-market for Life Insurance
1: Highest Likelihood to be In-market for Life Insurance
8: Lowest Likelihood to be In-market for Life Insurance
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for life insurance. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
5
IMS_INSUR_GENERAL
2
INTEGER
I
A,M
InMarket General Insurance Values Ranges: 1-8
1: Highest Likelihood to be In-market for Insurance (General)
8: Lowest Likelihood to be In-market for Insurance (General)
1: Highest Likelihood to be In-market for Insurance (General)
8: Lowest Likelihood to be In-market for Insurance (General)
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for insurance although the specific insurance category has not yet been identified. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
6
IMS_INSUR_HLTH_DENTAL
2
INTEGER
I
A,M
InMarket Dental Health Insurance Values Ranges: 1-8
1: Highest Likelihood to be In-market for Dental Health Insurance
8: Lowest Likelihood to be In-market for Dental Health Insurance
1: Highest Likelihood to be In-market for Dental Health Insurance
8: Lowest Likelihood to be In-market for Dental Health Insurance
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for dental health insurance. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
7
IMS_INSUR_HLTH_SHORTTERM
2
INTEGER
I
A,M
InMarket Short-term Health Insurance Values Ranges: 1-8
1: Highest Likelihood to be In-market for Short-term Health Insurance
8: Lowest Likelihood to be In-market for Short-term Health Insurance
1: Highest Likelihood to be In-market for Short-term Health Insurance
8: Lowest Likelihood to be In-market for Short-term Health Insurance
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for short-term health insurance. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
8
IMS_INSUR_HLTH_DISABILITY
2
INTEGER
I
A,M
InMarket Disability Health Insurance Values Ranges: 1-8
1: Highest Likelihood to be In-market for Disability Health Insurance
8: Lowest Likelihood to be In-market for Disability Health Insurance
1: Highest Likelihood to be In-market for Disability Health Insurance
8: Lowest Likelihood to be In-market for Disability Health Insurance
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for disability health insurance. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
9
IMS_INSUR_HLTH_MEDICARESUPP
2
INTEGER
I
A,M
InMarket Medicare Supplement Health Insurance Values Ranges: 1-8
1: Highest Likelihood to be In-market for Medicare Supplement Health Insurance
8: Lowest Likelihood to be In-market for Medicare Supplement Health Insurance
1: Highest Likelihood to be In-market for Medicare Supplement Health Insurance
8: Lowest Likelihood to be In-market for Medicare Supplement Health Insurance
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for Medicare Supplement health insurance. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
10
IMS_INSUR_HLTH_MEDICAREADV
2
INTEGER
I
A,M
InMarket Medicare Advantage Health Insurance Values Ranges: 1-8
1: Highest Likelihood to be In-market for Medicare Advantage Health Insurance
8: Lowest Likelihood to be In-market for Medicare Advantage Health Insurance
1: Highest Likelihood to be In-market for Medicare Advantage Health Insurance
8: Lowest Likelihood to be In-market for Medicare Advantage Health Insurance
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for Medicare Advantage health insurance. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
11
IMS_INSUR_HLTH_MEDICAREGENERAL
2
INTEGER
I
A,M
InMarket Medicare Health Insurance (General) Values Ranges: 1-8
1: Highest Likelihood to be In-market for Medicare Health Insurance (General)
8: Lowest Likelihood to be In-market for Medicare Health Insurance (General)
1: Highest Likelihood to be In-market for Medicare Health Insurance (General)
8: Lowest Likelihood to be In-market for Medicare Health Insurance (General)
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for Medicare health insurance although the specific Medicare health insurance category has not yet been identified. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
12
IMS_INSUR_HLTH_GENERAL
2
INTEGER
I
A,M
InMarket Health Insurance (General) Values Ranges: 1-8
1: Highest Likelihood to be In-market for Health Insurance (General)
8: Lowest Likelihood to be In-market for Health Insurance (General)
1: Highest Likelihood to be In-market for Health Insurance (General)
8: Lowest Likelihood to be In-market for Health Insurance (General)
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for health insurance although the specific health insurance category has not yet been identified. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
13
IMS_INSUR_HLTH_OVERALL
2
INTEGER
I
A,M
InMarket Health Insurance (Overall) Values Ranges: 1-8
1: Highest Likelihood to be In-market for Health Insurance (Overall)
8: Lowest Likelihood to be In-market for Health Insurance (Overall)
1: Highest Likelihood to be In-market for Health Insurance (Overall)
8: Lowest Likelihood to be In-market for Health Insurance (Overall)
Verisk's InMarket Scores measures a consumer's likelihood to be in-market for insurance in one or more of the health insurance categories (dental, short-term, disability, Medicare and/or general interest). The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
14
IMS_INSUR_OVERALL
2
INTEGER
I
A,M
InMarket Insurance (Overall) Values Ranges: 1-8
1: Highest Likelihood to be In-market for Insurance (Overall)
8: Lowest Likelihood to be In-market for Insurance (Overall)
1: Highest Likelihood to be In-market for Insurance (Overall)
8: Lowest Likelihood to be In-market for Insurance (Overall)
Verisk's InMarket Scores measures a consumer's likelihood to be in-market for insurance in one or more of the insurance categories (life, auto, home and/or health). The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
15
IMS_MTG_NEWHOME
2
INTEGER
I
A,M
InMarket New Home (Purchase) Mortgage Values Ranges: 1-8
1: Highest Likelihood to be In-market for New Home Mortgage
8: Lowest Likelihood to be In-market for New Home Mortgage
1: Highest Likelihood to be In-market for New Home Mortgage
8: Lowest Likelihood to be In-market for New Home Mortgage
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for a mortgage for a new home. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
16
IMS_MTG_REFI
2
INTEGER
I
A,M
InMarket Refinance Mortgage Ranges: 1-8
1: Highest Likelihood to be In-market for Refinance Mortgage
8: Lowest Likelihood to be In-market for Refinance Mortgage
1: Highest Likelihood to be In-market for Refinance Mortgage
8: Lowest Likelihood to be In-market for Refinance Mortgage
Verisk's InMarket Scores measure a consumer's likelihood to be in-market to refinance their mortgage. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
17
IMS_MTG_HELOC
2
INTEGER
I
A,M
InMarket HELOC Mortgage Values Ranges: 1-8
1: Highest Likelihood to be In-market for HELOC Mortgage
8: Lowest Likelihood to be In-market for HELOC Mortgage
1: Highest Likelihood to be In-market for HELOC Mortgage
8: Lowest Likelihood to be In-market for HELOC Mortgage
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for a home equity line of credit (HELOC). The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
18
IMS_MTG_REVERSE
2
INTEGER
I
A,M
InMarket Reverse Mortgage Values Ranges: 1-8
1: Highest Likelihood to be In-market for Reverse Mortgage
8: Lowest Likelihood to be In-market for Reverse Mortgage
1: Highest Likelihood to be In-market for Reverse Mortgage
8: Lowest Likelihood to be In-market for Reverse Mortgage
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for a reverse mortgage. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
19
IMS_MTG_GENERAL
2
INTEGER
I
A,M
InMarket Mortgage (General) Values Ranges: 1-8
1: Highest Likelihood to be In-market for Mortgage (General)
8: Lowest Likelihood to be In-market for Mortgage (General)
1: Highest Likelihood to be In-market for Mortgage (General)
8: Lowest Likelihood to be In-market for Mortgage (General)
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for a mortgage although the specific mortgage category has not yet been identified. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
20
IMS_MTG_OVERALL
2
INTEGER
I
A,M
InMarket Mortgage (Overall) Values Ranges: 1-8
1: Highest Likelihood to be In-market for Mortgage (Overall)
8: Lowest Likelihood to be In-market for Mortgage (Overall)
1: Highest Likelihood to be In-market for Mortgage (Overall)
8: Lowest Likelihood to be In-market for Mortgage (Overall)
Verisk's InMarket Scores measures a consumer's likelihood to be in-market for a mortgage in one or more of the mortgage categories (new home, refinance, HELOC, reverse and/or general interest). The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
21
IMS_EDUCATION
2
INTEGER
I
A,M
InMarket Higher Education Values Ranges: 1-8
1: Highest Likelihood to be In-market for Higher Education
8: Lowest Likelihood to be In-market for Higher Education
1: Highest Likelihood to be In-market for Higher Education
8: Lowest Likelihood to be In-market for Higher Education
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for higher education. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
22
IMS_JOBS
2
INTEGER
I
A,M
InMarket Jobs Values Ranges: 1-8
1: Highest Likelihood to be In-market for Jobs
8: Lowest Likelihood to be In-market for Jobs
1: Highest Likelihood to be In-market for Jobs
8: Lowest Likelihood to be In-market for Jobs
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for a job. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
23
IMS_HOMEBUYER
2
INTEGER
I
A,M
InMarket Homebuyers Values Ranges: 1-8
1: Highest Likelihood to be In-market for Buying Home
8: Lowest Likelihood to be In-market for Buying Home
1: Highest Likelihood to be In-market for Buying Home
8: Lowest Likelihood to be In-market for Buying Home
Verisk's InMarket Scores measure a consumer's likelihood to be in-market to buy a home. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
24
IMS_AUTOSALES
2
INTEGER
I
A,M
InMarket Auto Sales Values Ranges: 1-8
1: Highest Likelihood to be In-market for Auto Sales
8: Lowest Likelihood to be In-market for Auto Sales
1: Highest Likelihood to be In-market for Auto Sales
8: Lowest Likelihood to be In-market for Auto Sales
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for a new or used car. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
25
IMS_HOMESERVICES
2
INTEGER
I
A,M
InMarket Home Services Values Ranges: 1-8
1: Highest Likelihood to be In-market for Home Services
8: Lowest Likelihood to be In-market for Home Services
1: Highest Likelihood to be In-market for Home Services
8: Lowest Likelihood to be In-market for Home Services
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for home services (e.g. home improvement, home security system installation, solar panel installation). The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
26
IMS_FISERV_GENERAL
2
INTEGER
I
A,M
InMarket Financial Services (General) Values Ranges: 1-8
1: Highest Likelihood to be In-market for Financial Services (General)
8: Lowest Likelihood to be In-market for Financial Services (General)
1: Highest Likelihood to be In-market for Financial Services (General)
8: Lowest Likelihood to be In-market for Financial Services (General)
Verisk's InMarket Scores measure a consumer's likelihood to be in-market for financial services. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
27
IMS_ONLINE_LEADGEN
2
INTEGER
I
A,M
InMarket Online Lead Generation Values Ranges: 1-8
1: Highest Likelihood to be In-market for Online Lead Gen
8: Lowest Likelihood to be In-market for Online Lead Gen
1: Highest Likelihood to be In-market for Online Lead Gen
8: Lowest Likelihood to be In-market for Online Lead Gen
Verisk's InMarket Scores measure a consumer's likelihood to be online, exhibiting in-market behaviors. The score assesses a combination of recency, frequency, and depth of shopping behavior, as well as hundreds of household and consumer level characteristics to determine an individual's propensitity to exhibit in-market behavior. Records scored with a "1" represent the highest confidence levels of in-market behavior. Records scored with an "8" have the lowest likelihood to exhibit in-market behavior, representing records with the lowest confidence levels or lacking any intelligence to indicate the record is in-market.
Verisk's InMarket Scores ...
Internal
# Field Number
Field Name Field Name
Max
28
Internal1
255
✓
✓
29
Internal2
255
✓
✓
30
Internal3
255
✓
✓
31
Internal4
255
✓
✓
32
Internal5
255
✓
✓
33
Internal6
255
✓
✓
34
Internal7
255
✓
✓
35
Internal8
255
✓
✓
36
Internal9
255
✓
✓
37
Internal10
255
✓
✓
38
Internal11
255
✓
✓
39
Internal12
255
✓
✓
40
Internal13
255
✓
✓
41
Internal14
255
✓
✓
42
Internal15
255
✓
✓
43
Internal16
255
✓
✓
44
Internal17
255
✓
✓
45
Internal18
255
✓
✓
46
Internal19
255
✓
✓
47
Internal20
255
✓
✓
48
Internal21
255
✓
✓
49
Internal22
255
✓
✓
50
Internal23
255
✓
✓
51
Internal24
255
✓
✓
52
Internal25
255
✓
✓
Phone - Premium Package
TCI Linkage Information
# Field Number
Field Name Field Name
Length
Format
Values Description Values Description
1
PID
32
VARCHAR
Up to 32-Character Alphanumeric Persistent ID. Use this field to link to TCI.
Up to 32-Character Alphan ...
Phone Information
# Field Number
Field Name Field Name
Length
Format
Values Description Values Description
2
PHONE1
10
VARCHAR
Phone #1
Phone #1 ...
3
PHONE1_TYPE
1
VARCHAR
"Probable Phone Type:
L - Land Line
V - VOIP
W - Wireless"
"Probable Phone Type:
...
6
PHONE1_CONFIDENCE_CODE
1
VARCHAR
"H = High Level of Confidence
M = Medium Level of Confidence (includes household phones)"
"H = High Level of Confid ...
7
INTERNAL1
255
VARCHAR
Internal Use
Internal Use ...
8
INTERNAL2
255
VARCHAR
Internal Use
Internal Use ...
9
INTERNAL3
255
VARCHAR
Internal Use
Internal Use ...
10
INTERNAL4
255
VARCHAR
Internal Use
Internal Use ...
11
INTERNAL5
255
VARCHAR
Internal Use
Internal Use ...
12
PHONE2
10
VARCHAR
Phone #2
Phone #2 ...
13
PHONE2_TYPE
1
VARCHAR
"Probable Phone Type:
L - Land Line
V - VOIP
W - Wireless"
"Probable Phone Type:
...
16
PHONE2_CONFIDENCE_CODE
1
VARCHAR
"H = High Level of Confidence
M = Medium Level of Confidence (includes household phones)"
"H = High Level of Confid ...
17
INTERNAL6
255
VARCHAR
Internal Use
Internal Use ...
18
INTERNAL7
255
VARCHAR
Internal Use
Internal Use ...
19
INTERNAL8
255
VARCHAR
Internal Use
Internal Use ...
20
INTERNAL9
255
VARCHAR
Internal Use
Internal Use ...
21
INTERNAL10
255
VARCHAR
Internal Use
Internal Use ...
22
PHONE3
10
VARCHAR
Phone #3
Phone #3 ...
23
PHONE3_TYPE
1
VARCHAR
"Probable Phone Type:
L - Land Line
V - VOIP
W - Wireless"
"Probable Phone Type:
...
26
PHONE3_CONFIDENCE_CODE
1
VARCHAR
"H = High Level of Confidence
M = Medium Level of Confidence (includes household phones)"
"H = High Level of Confid ...
27
INTERNAL11
255
VARCHAR
Internal Use
Internal Use ...
28
INTERNAL12
255
VARCHAR
Internal Use
Internal Use ...
29
INTERNAL13
255
VARCHAR
Internal Use
Internal Use ...
30
INTERNAL14
255
VARCHAR
Internal Use
Internal Use ...
31
INTERNAL15
255
VARCHAR
Internal Use
Internal Use ...
32
INTERNAL16
255
VARCHAR
Internal Use
Internal Use ...
33
INTERNAL17
255
VARCHAR
Internal Use
Internal Use ...
34
INTERNAL18
255
VARCHAR
Internal Use
Internal Use ...
35
INTERNAL19
255
VARCHAR
Internal Use
Internal Use ...
36
INTERNAL20
255
VARCHAR
Internal Use
Internal Use ...
Email - Premium Package
TCI Linkage Information
# Field Number
Field Name Field Name
Length
Format
Values Description Values Description
1
PID
32
VARCHAR
Up to 32-Character Alphanumeric Persistent ID. Use this field to link to TCI.
Up to 32-Character Alphan ...
Email Information
# Field Number
Field Name Field Name
Length
Format
Values Description Values Description
2
EMAIL1
100
VARCHAR
Email address #1 (best email for a given individual)
Email address #1 (best em ...
3
EMAIL1_VALIDATION_CODE
1
VARCHAR
"Email validation codes:
H - Clean Email
V - Clean Email and recently verified as deliverable
X - Do Not Email"
"Email validation codes:
...
4
EMAIL1_CONFIDENCE_CODE
1
VARCHAR
"H = High Level of Confidence
M = Medium Level of Confidence (includes household emails)"
"H = High Level of Confid ...
5
INTERNAL1
255
VARCHAR
Internal Use
Internal Use ...
6
INTERNAL2
255
VARCHAR
Internal Use
Internal Use ...
7
INTERNAL3
255
VARCHAR
Internal Use
Internal Use ...
8
INTERNAL4
255
VARCHAR
Internal Use
Internal Use ...
9
INTERNAL5
255
VARCHAR
Internal Use
Internal Use ...
10
EMAIL2
100
VARCHAR
Email address #2
Email address #2 ...
11
EMAIL2_VALIDATION_CODE
1
VARCHAR
"Email validation codes:
H - Clean Email
V - Clean Email and recently verified as deliverable
X - Do Not Email"
"Email validation codes:
...
12
EMAIL2_CONFIDENCE_CODE
1
VARCHAR
"H = High Level of Confidence
M = Medium Level of Confidence (includes household emails)"
"H = High Level of Confid ...
13
INTERNAL6
255
VARCHAR
Internal Use
Internal Use ...
14
INTERNAL7
255
VARCHAR
Internal Use
Internal Use ...
15
INTERNAL8
255
VARCHAR
Internal Use
Internal Use ...
16
INTERNAL9
255
VARCHAR
Internal Use
Internal Use ...
17
INTERNAL10
255
VARCHAR
Internal Use
Internal Use ...
18
EMAIL3
100
VARCHAR
Email address #3
Email address #3 ...
19
EMAIL3_VALIDATION_CODE
1
VARCHAR
"Email validation codes:
H - Clean Email
V - Clean Email and recently verified as deliverable
X - Do Not Email"
"Email validation codes:
...
20
EMAIL3_CONFIDENCE_CODE
1
VARCHAR
"H = High Level of Confidence
M = Medium Level of Confidence (includes household emails)"
"H = High Level of Confid ...
21
INTERNAL11
255
VARCHAR
Internal Use
Internal Use ...
22
INTERNAL12
255
VARCHAR
Internal Use
Internal Use ...
23
INTERNAL13
255
VARCHAR
Internal Use
Internal Use ...
24
INTERNAL14
255
VARCHAR
Internal Use
Internal Use ...
25
INTERNAL15
255
VARCHAR
Internal Use
Internal Use ...
26
EMAIL4
100
VARCHAR
Email address #4
Email address #4 ...
27
EMAIL4_VALIDATION_CODE
1
VARCHAR
"Email validation codes:
H - Clean Email
V - Clean Email and recently verified as deliverable
X - Do Not Email"
"Email validation codes:
...
28
EMAIL4_CONFIDENCE_CODE
1
VARCHAR
"H = High Level of Confidence
M = Medium Level of Confidence (includes household matches)"
"H = High Level of Confid ...
29
INTERNAL16
255
VARCHAR
Internal Use
Internal Use ...
30
INTERNAL17
255
VARCHAR
Internal Use
Internal Use ...
31
INTERNAL18
255
VARCHAR
Internal Use
Internal Use ...
32
INTERNAL19
255
VARCHAR
Internal Use
Internal Use ...
33
INTERNAL20
255
VARCHAR
Internal Use
Internal Use ...
34
EMAIL5
100
VARCHAR
Email address #5
Email address #5 ...
35
EMAIL5_VALIDATION_CODE
1
VARCHAR
"Email validation codes:
H - Clean Email
V - Clean Email and recently verified as deliverable
X - Do Not Email"
"Email validation codes:
...
36
EMAIL5_CONFIDENCE_CODE
1
VARCHAR
"H = High Level of Confidence
M = Medium Level of Confidence (includes household matches)"
"H = High Level of Confid ...
37
INTERNAL21
255
VARCHAR
Internal Use
Internal Use ...
38
INTERNAL22
255
VARCHAR
Internal Use
Internal Use ...
39
INTERNAL23
255
VARCHAR
Internal Use
Internal Use ...
40
INTERNAL24
255
VARCHAR
Internal Use
Internal Use ...
41
INTERNAL25
255
VARCHAR
Internal Use
Internal Use ...
42
INTERNAL26
255
VARCHAR
Internal Use
Internal Use ...
43
INTERNAL27
255
VARCHAR
Internal Use
Internal Use ...
44
INTERNAL28
255
VARCHAR
Internal Use
Internal Use ...
45
INTERNAL29
255
VARCHAR
Internal Use
Internal Use ...
46
INTERNAL30
255
VARCHAR
Internal Use
Internal Use ...
47
INTERNAL31
255
VARCHAR
Internal Use
Internal Use ...
48
INTERNAL32
255
VARCHAR
Internal Use
Internal Use ...
49
INTERNAL33
255
VARCHAR
Internal Use
Internal Use ...
50
INTERNAL34
255
VARCHAR
Internal Use
Internal Use ...
51
INTERNAL35
255
VARCHAR
Internal Use
Internal Use ...
52
INTERNAL36
255
VARCHAR
Internal Use
Internal Use ...
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