Consumer Habits & Spending Bundles

Consumer lifestyle data that reports attitudes, habits, and interests

Individual's spending information

The data source provides information about an individual's spending habits over the last 48 months
The data source provides information about an individual's spending habits over the last 48 months
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US
Lead scoring
LTV prediction
+1

Individual's travel and entertainment information

The data source provides information about an individual's travel habits and preferences. In some cases, the individual's likelihood to behave in certain ways receives a score between 1-6 (1=least likely, 6=most likely).
The data source provides information about an individual's travel habits and preferences. In some cases, the individual's likelihood to behave in certain ways receives a score between 1-6 (1=least likely, 6=most likely).
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US
Lead scoring
LTV prediction
+1

Individual's technological interests and habits

This data source provides information about an individual’s use of different technologies and products such as internet-connected TV, modem, computer, etc. The scale in this data source is between 1-6 and implies the likelihood of an individual to display certain behaviors regarding the use of technology. 1=least likely, 6=most likely.
This data source provides information about an individual’s use of different technologies and products such as internet-connected TV, modem, computer, etc. The scale in this data source is between 1-6 and implies the likelihood of an individual to display certain behaviors regarding the use of technology. 1=least likely, 6=most likely.
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US
LTV prediction

Individual's mobile phone and carrier data

This data source provides indications of an individual’s likelihood to use different phone types and brands, along with the likelihood of being a customer of different mobile carriers. The scale of likelihood is between 1-6. 1=least likely, 6=most likely.
This data source provides indications of an individual’s likelihood to use different phone types and brands, along with the likelihood of being a customer of different mobile carriers. The scale of likelihood is between 1-6. 1=least likely, 6=most likely.
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US
Lead scoring
LTV prediction
+1

Individual's credit and bank card preferences

The data source provides information about an individual's credit and bank card ownership and preferences.
The data source provides information about an individual's credit and bank card ownership and preferences.
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US
Consumer credit risk (prescreen)
LTV prediction
+1

Individual interests

The data source provides information about the individual's interests and activities.
The data source provides information about the individual's interests and activities.
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US
Lead scoring
LTV prediction
+1

Individual's investments and assets

This data source provides information about an individual's investments and assets including income, retirement, and economic stability.
This data source provides information about an individual's investments and assets including income, retirement, and economic stability.
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US
LTV prediction
Consumer segmentation

Individual's insurance information

This data source provides information about an individual's insurance behaviors, tendencies, and preferences. Certain behaviors are on a scale between 1-6 and imply the likelihood of an individual to display certain behaviors in regards to purchasing insurance. 1=least likely, 6=most likely.
This data source provides information about an individual's insurance behaviors, tendencies, and preferences. Certain behaviors are on a scale between 1-6 and imply the likelihood of an individual to display certain behaviors in regards to purchasing insurance. 1=least likely, 6=most likely.
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US
Insurance claim prediction

Individual's shopping behaviors and preferences

The data source provides information about an individual's shopping and purchasing behavior. In certain cases, the individual's likelihood to behave in certain ways is scored between 1-6 (1=least likely, 6=most likely).
The data source provides information about an individual's shopping and purchasing behavior. In certain cases, the individual's likelihood to behave in certain ways is scored between 1-6 (1=least likely, 6=most likely).
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US
LTV prediction
Consumer segmentation

Individual's social media habits

The data source provides information about an individual’s use of social media. The likelihood of the individual to behave in certain ways is scored between 1-6.1=least likely, 6=most likely.
The data source provides information about an individual’s use of social media. The likelihood of the individual to behave in certain ways is scored between 1-6.1=least likely, 6=most likely.
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US
LTV prediction
Consumer segmentation

Individual's media consumption habits

The data source provides information about an individual's media related preferences and activities.
The data source provides information about an individual's media related preferences and activities.
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US
Lead scoring
Consumer segmentation

Individual's charitable contributions

This data source provides information on an individual’s volunteering habits and involvement in various charitable causes. The scale in this data source is between 1-6 and implies the likelihood of an individual to display certain behaviors regarding social action. 1=least likely, 6=most likely.
This data source provides information on an individual’s volunteering habits and involvement in various charitable causes. The scale in this data source is between 1-6 and implies the likelihood of an individual to display certain behaviors regarding social action. 1=least likely, 6=most likely.
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US
LTV prediction
Consumer segmentation

Individual's banking service preferences

This data source provides information about an individual's banking-related behaviors, tendencies, and preferences. Certain behaviors are on a scale between 1-6 and imply the likelihood of an individual to display certain behaviors in regards to purchasing banking services. 1=most likely, 6=least likely.
This data source provides information about an individual's banking-related behaviors, tendencies, and preferences. Certain behaviors are on a scale between 1-6 and imply the likelihood of an individual to display certain behaviors in regards to purchasing banking services. 1=most likely, 6=least likely.
See more
US
Lead scoring
LTV prediction
+1

Individual's product purchases

This data source provides information about an individual's purchases over the last 24 months, including the categories the individual purchased from and the number of products purchased.
This data source provides information about an individual's purchases over the last 24 months, including the categories the individual purchased from and the number of products purchased.
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US
Consumer segmentation

Individual's mortgages and loans

The data source provides information about an individual's mortgage loans, home purchase amount, and other loans. In some cases, the individual's likelihood to behave in certain ways receives a score between 1-6 (1=least likely, 6=most likely).
The data source provides information about an individual's mortgage loans, home purchase amount, and other loans. In some cases, the individual's likelihood to behave in certain ways receives a score between 1-6 (1=least likely, 6=most likely).
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US
Consumer credit risk (prescreen)
Insurance claim prediction
+1