Abstract: A system and method is provided for updating customer profiles based on current information on merchant transactions performed by the customers. The customer profiles, which include data fields for customer attributes, are stored in a profile data base. The customer profiles may be updated when a batch of merchant-customer transaction reports in a given time period becomes available. The information in the batch of merchant-customer transaction reports, which may be supplemented with additional known information on the merchants and/or customers, is sorted by customer account number. The customer profiles then are updated, one customer account number at time, using the sorted information. Profiling models which relate transaction types or characteristics to customer attributes are used to assign updated values to the customer attribute data fields.

Abstract: A system and method is provided for updating customer profiles based on current information on merchant transactions performed by the customers. The customer profiles, which include data fields for customer attributes, are stored in a profile data base. The customer profiles may be updated when a batch of merchant-customer transaction reports in a given time period becomes available. The information in the batch of merchant-customer transaction reports, which may be supplemented with additional known information on the merchants and/or customers, is sorted by customer account number. The customer profiles then are updated, one customer account number at time, using the sorted information. Profiling models which relate transaction types or characteristics to customer attributes are used to assign updated values to the customer attribute data fields.

Abstract: Systems and methods for analyzing and segregating payment card account profiles into clusters and targeting offers to cardholders. Offers may be targeted based on analyzing customer transactions with merchants from a merchant category as compared with transactions with merchants from a universe of merchants. Customers who have no transaction history with a merchant may be selected for offers based on similarities with respect to other customers of the merchant. Multiple merchant offers may be combined into a single mailing based on a scoring algorithm.