Consumer Habits & Spending

Consumer lifestyle data that reports attitudes, habits, and interests

Assets and investment preferences of individuals

Preferences of individuals and households for investments and assets. Includes information on savings plans, IRAs, investment types, and more. Likelihood scores range from 1-10 or 1-100, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
Preferences of individuals and households for investments and assets. Includes information on savings plans, IRAs, investment types, and more. Likelihood scores range from 1-10 or 1-100, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
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US
Lead scoring
LTV prediction
+1

Banking service preferences of individuals

Likelihood scores and purchasing information of individuals or households in the banking and services sector. Including data on positions toward online banking, the preferred method of bill payment, household retail banking segmentation, and much more. Likelihood scores range from 1-10, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, and much more. Originally sourced from a market leader in consumer data.
Likelihood scores and purchasing information of individuals or households in the banking and services sector. Including data on positions toward online banking, the preferred method of bill payment, household retail banking segmentation, and much more. Likelihood scores range from 1-10, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, and much more. Originally sourced from a market leader in consumer data.
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US
Lead scoring
Consumer fraud detection
+4

Charitable contributions of individuals

Likelihood scores and purchasing information of individuals' or households’ preferences and behaviors surrounding charitable causes. Including data on the financial support of various charities, interest in supporting them, volunteering, and much more. Likelihood scores range from 1-10, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, and much more. Originally sourced from a market leader in consumer data.
Likelihood scores and purchasing information of individuals' or households’ preferences and behaviors surrounding charitable causes. Including data on the financial support of various charities, interest in supporting them, volunteering, and much more. Likelihood scores range from 1-10, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, and much more. Originally sourced from a market leader in consumer data.
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US
Lead scoring
LTV prediction
+1

Consumer habits by location: mortgages and loans

Access aggregated location-based preferences, behaviors, and tendencies of an average person residing in a location, available for all US Zipcodes. The included information is commonly used for marketing purposes, to enable the creation of LTV models, lead generation, and more without violating PII restrictions. Mainly providing scores of the likelihood that a typical individual in the selected location will obtain mortgages and loans of different kinds, and the number of loans they are likely to take. Demographic scores are calculated according to the characteristics of a location’s registered residents. The scores range from 1-6 and 0-1, with lower scores indicating a lower likelihood or preference.
Access aggregated location-based preferences, behaviors, and tendencies of an average person residing in a location, available for all US Zipcodes. The included information is commonly used for marketing purposes, to enable the creation of LTV models, lead generation, and more without violating PII restrictions. Mainly providing scores of the likelihood that a typical individual in the selected location will obtain mortgages and loans of different kinds, and the number of loans they are likely to take. Demographic scores are calculated according to the characteristics of a location’s registered residents. The scores range from 1-6 and 0-1, with lower scores indicating a lower likelihood or preference.
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US
Lead scoring
LTV prediction
+8

Credit card preferences of individuals

Likelihood scores and purchasing information of individuals' or households’ preferences and behaviors surrounding credit cards and bank cards. Including data on credit-card levels and issuers, the number of transactions over a period of time, and credit granted. Likelihood scores range from 1-10, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, and much more. Originally sourced from a market leader in consumer data.
Likelihood scores and purchasing information of individuals' or households’ preferences and behaviors surrounding credit cards and bank cards. Including data on credit-card levels and issuers, the number of transactions over a period of time, and credit granted. Likelihood scores range from 1-10, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, and much more. Originally sourced from a market leader in consumer data.
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US
Lead scoring
LTV prediction
+1

Insurance preferences of individuals

Likelihood scores of individuals or households' insurance preferences and behaviors. Including data on types of obtained insurance policies, insurance agencies, and more. Likelihood scores range from 1-10 or 1-100, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, and much more. Originally sourced from a market leader in consumer data.
Likelihood scores of individuals or households' insurance preferences and behaviors. Including data on types of obtained insurance policies, insurance agencies, and more. Likelihood scores range from 1-10 or 1-100, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, and much more. Originally sourced from a market leader in consumer data.
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US
Lead scoring
LTV prediction
+1

Interests and hobbies of individuals

Individuals and households' interests and lifestyle are indicated using survey data and likelihood scores. Various interests and hobbies are represented, categories include DIY, sports, the outdoors, lifestyle preferences, and much more. Likelihood scores range from 1-10, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc’. Originally sourced from a market leader in consumer data.
Individuals and households' interests and lifestyle are indicated using survey data and likelihood scores. Various interests and hobbies are represented, categories include DIY, sports, the outdoors, lifestyle preferences, and much more. Likelihood scores range from 1-10, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc’. Originally sourced from a market leader in consumer data.
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US
Lead scoring
LTV prediction
+1

Media consumption preferences of individuals

Preferences of individuals and households for media consumption channels. Includes information on which media channels are likely to elicit a response to advertising, and more. Likelihood scores range from 1-10 or 1-100, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
Preferences of individuals and households for media consumption channels. Includes information on which media channels are likely to elicit a response to advertising, and more. Likelihood scores range from 1-10 or 1-100, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
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US
Lead scoring
LTV prediction
+1

Mobile phones and carrier preferences of individuals

Preferences of individuals and households for mobile phone carrier services and providers. Includes information on mobile service providers the individual is likely to use, and more. Likelihood scores range from 1-10 or 1-100, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
Preferences of individuals and households for mobile phone carrier services and providers. Includes information on mobile service providers the individual is likely to use, and more. Likelihood scores range from 1-10 or 1-100, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
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US
Lead scoring
LTV prediction
+1

Product purchases of individuals

Individuals and households product purchase preferences. Includes information on a wide variety of product categories: apparel, supplies, appliances, and much more. Likelihood scores range from 1-10, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
Individuals and households product purchase preferences. Includes information on a wide variety of product categories: apparel, supplies, appliances, and much more. Likelihood scores range from 1-10, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
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US
Lead scoring
LTV prediction
+1

Purchases and shopping preferences of individuals

Individuals and households shopping categories and preferences over last year. Includes information on a wide variety of shopping categories: sports, apparel suppliers, jewelry, and much more. Likelihood scores range from 1-10 or 1-100, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
Individuals and households shopping categories and preferences over last year. Includes information on a wide variety of shopping categories: sports, apparel suppliers, jewelry, and much more. Likelihood scores range from 1-10 or 1-100, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
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US
Lead scoring
LTV prediction
+1

Social media preferences of individuals

Individuals and households social media behaviors and preferences. Includes data on using various social media platforms, influence, activity, and more. Likelihood scores range from 1-10, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
Individuals and households social media behaviors and preferences. Includes data on using various social media platforms, influence, activity, and more. Likelihood scores range from 1-10, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
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US
Lead scoring
LTV prediction
+1

Spending behavior of individuals

Individuals’ and households’ spending habits. Includes data on the amount of money spent over 24 or 48 months prior to most recent update on a variety of categories and services. Dollar values have been converted to units of $1000 (e.g. $1000 is 1.00). Likelihood scores range from 1-10, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
Individuals’ and households’ spending habits. Includes data on the amount of money spent over 24 or 48 months prior to most recent update on a variety of categories and services. Dollar values have been converted to units of $1000 (e.g. $1000 is 1.00). Likelihood scores range from 1-10, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
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US
Lead scoring
LTV prediction
+1

Technology preferences of individuals

Preferences and behaviors of individuals and households to use or subscribe to various technologies. Including the likelihood of being an early adopter, internet use, and more. Likelihood scores range from 1-10 or 1-100, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
Preferences and behaviors of individuals and households to use or subscribe to various technologies. Including the likelihood of being an early adopter, internet use, and more. Likelihood scores range from 1-10 or 1-100, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
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US
Lead scoring
LTV prediction
+1

Travel preferences of individuals

Preferences and behaviors of individuals and households when planning and going on trips and vacation. Including the likelihood to rent cars or book flights for leisure or business, frequent flyer memberships, and more. Likelihood scores range from 1-10 or 1-100, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
Preferences and behaviors of individuals and households when planning and going on trips and vacation. Including the likelihood to rent cars or book flights for leisure or business, frequent flyer memberships, and more. Likelihood scores range from 1-10 or 1-100, with higher scores indicating a higher likelihood or preference, and are based on credit card data, survey data, geographic data, etc. Originally sourced from a market leader in consumer data.
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US
Lead scoring
LTV prediction
+1