Mastercard International Incorporated

Marc Del Bene

Anant Nambiar

Po Hu

Marianne Iannace

Daniel G Salazar

Trina Reuben-Williams

A computer-based method for predicting consumer behavior is provided. The method is performed using a computer system coupled to a database. The method includes recording consumer data in the database for each consumer of a global population of consumers including historical purchases made by each consumer using a transaction card, defining a life event by assigning spending variables to the life event, determining a sample group of consumers that are experiencing the life event based on the consumer data stored within the database with respect to the spending variables, generating a predictive model based on historical purchases made by consumers within the sample group, and applying the predictive model to predict each consumer within the global population that will experience the life event. The predictive model is applied using the computer system. A list of consumers predicted to experience the life event within a predetermined time period is output.

Methods and systems for predicting consumer behavior from transaction card purchases

A method for associating transaction card accounts with life stage segments is described. The method includes analyzing survey results to define the plurality of life stage segments based on at least one of demographics, transaction categories, and card usage. The method further includes creating at least one spending profile for a life stage target group that includes transaction card holders within at least one of the defined life stages for which a marketing campaign is targeted, developing a survey-based life stage model based on the target group and the profiles, creating a transaction data-based life stage model by applying the survey-based life stage model to a portion of the transaction data, applying the transaction-based life stage model to the transaction data to identifies cardholder accounts included within the life stage target group, and ranking the transaction card accounts stored within the database based on a likelihood the accounts are included within the target group.

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Darien, CT, United States of America

Marc Del Bene