Abstract: A computer-implemented system is configured to, responsive to failure of anonymity threshold criteria of a payment card transaction based dataset including a geographical region definition including solely a first geographical region, query a geographical information service for data indicative of geographical regions neighboring a first geographical region; iteratively query the payment card transaction based dataset using queries modifying the geographical region definition to include the first geographical region and one or more neighboring geographical regions; test returned results against the anonymity threshold criteria; and responsive to a positive test result, generating an approval indication for a data set.

Abstract: A method for identifying ambient media (audio and visual content) selections based on transaction history includes: storing transaction data entries, each including data related to a payment transaction including a merchant identifier associated with a merchant involved in the transaction, a primary account number associated with a transaction account used in the transaction, and transaction data; receiving a request, the request including a specific merchant identifier; identifying a subset of transaction data entries that include a merchant identifier corresponding to the specific merchant identifier; identifying sets of demographic characteristics based on the primary account number and/or the transaction data included in transaction data entries in the subset; identifying an ambient media selection corresponding to the sets of the demographic characteristics; and transmitting the identified ambient media selection corresponding to each of the sets of demographic characteristics.

Abstract: A computer-implemented system is configured to, responsive to failure of anonymity threshold criteria of a payment card transaction based dataset including a geographical region definition including solely a first geographical region, query a geographical information service for data indicative of geographical regions neighboring a first geographical region; iteratively query the payment card transaction based dataset using queries modifying the geographical region definition to include the first geographical region and one or more neighboring geographical regions; test returned results against the anonymity threshold criteria; and responsive to a positive test result, generating an approval indication for a data set.

Abstract: A method for identifying ambient media (audio and visual content) selections based on transaction history includes: storing transaction data entries, each including data related to a payment transaction including a merchant identifier associated with a merchant involved in the transaction, a primary account number associated with a transaction account used in the transaction, and transaction data; receiving a request, the request including a specific merchant identifier; identifying a subset of transaction data entries that include a merchant identifier corresponding to the specific merchant identifier; identifying sets of demographic characteristics based on the primary account number and/or the transaction data included in transaction data entries in the subset; identifying an ambient media selection corresponding to the sets of the demographic characteristics; and transmitting the identified ambient media selection corresponding to each of the sets of demographic characteristics.

Abstract: A method for identifying business service recommendations includes: storing merchant profiles, each profile including data related to a merchant including a merchant identifier and transaction for a plurality of payment transactions; receiving, a data file including a plurality of merchant entries, each entry including data related to a merchant including a merchant identifier and firmographics; identifying a specific merchant entry where the merchant identifier corresponds to a merchant identifier in a specific merchant profile; calculating transaction scores for the specific merchant entry based on the transaction data in the specific merchant profile; identifying a related merchant entry where the firmographics correspond to the firmographics in the specific merchant entry and where the merchant identifier is not included in a merchant profile; and identifying one or more business service recommendations for the merchant related to the related merchant entry based on transaction scores and firmographics in

Abstract: A first set of transaction data is received from a merchant. The first set of transaction data represents a plurality of customer profiles. Each of the customer profiles corresponds to a respective account in a customer loyalty program administered by the merchant. A second set of transaction data is received from the merchant. The second set of transaction data represents unattached transactions involving the merchant but not associated by the merchant with any of the customer loyalty program accounts. Payment account numbers associated with the unattached transactions are used to link ones of the unattached transactions to respective ones of the customer loyalty program accounts.

Abstract: A method for identifying business service recommendations includes: storing merchant profiles, each profile including data related to a merchant including a merchant identifier and transaction for a plurality of payment transactions; receiving, a data file including a plurality of merchant entries, each entry including data related to a merchant including a merchant identifier and firmographics; identifying a specific merchant entry where the merchant identifier corresponds to a merchant identifier in a specific merchant profile; calculating transaction scores for the specific merchant entry based on the transaction data in the specific merchant profile; identifying a related merchant entry where the firmographics correspond to the firmographics in the specific merchant entry and where the merchant identifier is not included in a merchant profile; and identifying one or more business service recommendations for the merchant related to the related merchant entry based on transaction scores and firmographics in

Abstract: Systems, methods, means, computer program code and computerized processes include receiving a first set of de-identified transaction data from a first transaction data source, receiving a second set of de-identified transaction data from a second transaction data source, removing data associated with an identifier field for each of the transactions in the first data set to created a de-identified first data set, removing data associated with an identifier field for each of the transactions in the second data set to create a de-identified second data set, and processing the first and second de-identified data sets using a probabilistic engine to establish a linkage between data in each data set. The probabilistic engine may assign probability scores to pairs of data profiles based on two-way matching of transactions and based at least partly on matching of transactions to nearest neighbors.

Abstract: A method and a system are provided for optimizing customer volume at a merchant store. In particular, the present disclosure provides a method and a system for forecasting how many shoppers will be in a merchant store at certain times of the day. The method and the system enable the merchant to forecast shopper volume at a merchant store for a defined date and time, and to make a targeted promotional offer at a merchant store for a defined date and time to a plurality of payment card holders. The method and the system are useful for the merchant in terms of optimizing resource needs, and enabling the merchant to run promotions that only apply during “down-times” to drive more shoppers to their store.

Abstract: A method and a system are provided for determining when and what time a shopper should go shopping at a merchant. In particular, the present disclosure provides a method and a system for conveying to a shopper various shopping patterns by date and time, and by gender or age group, of a plurality of payment card holders at one or more merchants, based on one or more payment card holder purchase behaviors, to enable the shopper to select a date and time, or gender or age group, for shopping at the one or more merchants. The method and system can be used by shoppers to choose the preferred date/time, or gender or age group of fellow shoppers, to visit a specific merchant.