Computer-Based Modeling of Spending Behaviors of Entities
First Claim
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1. A method for modeling consumer behavior to estimate consumer spend, comprising:
- receiving individual and aggregated consumer data including consumer panel data, tradeline data and internal customer data;
analyzing the individual and aggregated consumer data to determine spending behavior for at least one category of consumers;
deriving a model of consumer spending patterns for the at least one category based on said analyzing; and
validating the model using consumer panel data.
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Abstract
Time series consumer spending data, point-in-time balance information and consumer panel information provide input to a model for consumer spend behavior on plastic instruments or other financial accounts, from which approximations of spending ability and share of wallet may be reliably identified and utilized to promote additional consumer spending.
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Citations
13 Claims
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1. A method for modeling consumer behavior to estimate consumer spend, comprising:
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receiving individual and aggregated consumer data including consumer panel data, tradeline data and internal customer data; analyzing the individual and aggregated consumer data to determine spending behavior for at least one category of consumers; deriving a model of consumer spending patterns for the at least one category based on said analyzing; and validating the model using consumer panel data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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Specification