Abstract: Payment card account transaction data sets and mobile device travel profiles are compared with each other to detect matches in terms of times and locations of use and/or presence. Such an analysis may link two or more payment card accounts to the same mobile device. Consequently, common ownership of the two or more payment card accounts may be reasonably inferred. Based on the inference of common ownership, marketing related analysis may be performed on a combined transaction data set that reflects transactions in both commonly owned payment card accounts.

Abstract: A method for identifying purchase behavior using handwriting characteristics includes: storing, in a handwriting database, a plurality of handwriting profiles, wherein each handwriting profile includes at least a handwriting characteristic and one or more associated purchase behaviors; receiving, by a receiving device, a handwriting sample; analyzing, by a processing device, the received handwriting sample to identify one or more handwriting characteristics; identifying, in the handwriting database, a specific handwriting profile for each of the identified one or more handwriting characteristics, wherein the specific handwriting profile includes the respective handwriting characteristic; and transmitting, by a transmitting device, the one or more associated purchase behaviors included in each of the identified specific handwriting profiles.

Abstract: A system, method, and computer-readable storage medium configured to anticipate travel by payment account holders without using payment transaction data.

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.

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 computer implemented method for creating merchant profiles based on check transactions is provided. The method uses a computing device having a processor communicatively coupled to a memory. The method includes receiving a plurality of payment transactions including payment by a check where each payment transaction includes plurality of fields from the associated check that include at least a payee field, an address field, and a memo field, generating a list of unique merchants based in part on the payee fields of the plurality of payment transactions, generating two or more merchant profiles, and determining one or more connections between two or more merchant profiles in the plurality of merchant profiles. Each connection represents a relationship or association between two or more merchant profiles. The method also includes storing the one or more connections and the two or more merchant profiles.

Abstract: A computer-implemented method for identifying cardholder stock-piling behavior is implemented by a purchase analysis computer system in communication with a memory. The method includes retrieving at least one stock-piling profile used to identify transaction characteristics consistent with a stock-piling event wherein the stock-piling profile includes a plurality of ranges of expected cardholder transaction volumes associated with a plurality of categories of transactions, receiving a plurality of transaction data associated with the plurality of categories of transactions, determining an actual cardholder transaction volume for each of the plurality of categories of transactions, and identifying cardholder stock-piling behavior by comparing the actual cardholder transaction volume to the range of expected cardholder transaction volume for each of a plurality of categories of transactions.

Abstract: A method and a system are provided for identifying payment card holder hobbies or interests. The method includes retrieving from one or more databases a first set of information comprising payment card transaction information, payment card holder information and merchant information. The method further includes analyzing the first set of information to construct one or more groupings of merchants based on merchant line of business or merchant association with a hobby or interest; analyzing the first set of information to identify one or more payment card holder purchase behaviors; and associating the one or more payment card holder purchase behaviors with the one or more groupings of merchants to identify one or more payment card holder hobbies or interests. The method and system provide advantages in fraud prevention, and can also be used by merchants or businesses to better target customers or enhance existing customer relationships.

Abstract: A method for determining payment card holder preference of a merchant from a grouping of proximal merchant competitors is provided. The method includes retrieving a first set of information including purchasing and payment activity information attributable to payment card holder(s); retrieving a second set of information including merchant information; optionally retrieving a third set of information including external information; analyzing the second set of information and optionally the third set of information to generate grouping(s) of proximal merchant competitors; associating the purchasing and payment activity information attributable to the payment card holders and the groupings of proximal merchant competitors to generate predictive payment card holder profile(s); and determining payment card holder preference of a merchant from a grouping of proximal merchant competitors based on the predictive payment card holder profile(s).

Abstract: A communication channel is provided between a transaction acquirer and a payment network, for the purpose of transmitting payment card account transaction authorization requests. Via the communication channel the payment network may receive a message containing additional information. The additional information may originate at the point of sale and may be in addition to a PAN (primary account number) or the like. The payment network may send a message including the additional information to an entity that is neither a payment account issuer nor the transaction acquirer.

Abstract: A method for identifying a payment card holder preference for a certain sales technique. The method involves retrieving, from one or more databases, a first set of information including purchasing and payment activity information attributable to one or more payment card holders; retrieving, from one or more databases, a second set of information including merchant information associated with the purchasing and payment activity; retrieving, from one or more databases, a third set of information including sales technique information; analyzing the first set of information and the second set of information to generate one or more predictive payment card holder profiles; and correlating the one or more predictive payment card holder profiles with the sales technique information to identify payment card holder preference for the certain sales technique. A system for identifying payment card holder preference for a certain sales technique is also provided.

Abstract: A method for linking forensic data to transaction history includes: storing a plurality of consumer profiles, each profile including data related to a consumer including a consumer identifier associated with the related consumer and a plurality of transaction data entries, each entry including data related to a payment transaction involving the consumer including transaction data; receiving a forensic profile, the profile including forensic data obtained from a computing device; identifying a correspondence between the received forensic data and transaction data included in the stored transaction data entries to obtain a specific consumer identifier; identifying a specific consumer profile where the included consumer identifier corresponds to the specific consumer identifier; and transmitting at least the transaction data included in one or more transaction data entries included in the identified specific consumer profile.

Abstract: A method for improving fraud scoring based on criminal activity includes: storing transaction data entries, each including transaction data related to a payment transaction and a transacting consumer identifier; storing consumer profiles, each including data related to consumers including consumer characteristics and a consumer identifier; storing fraud scoring rules, each being configured to score a payment transaction for a likelihood of fraud based on transaction data; receiving a criminal activity notification, the notification including criminal characteristics associated with criminals or victims associated with untrustworthiness or fraud; identifying a specific consumer profile where a predefined number of the consumer characteristics correspond to the criminal characteristics; identifying a subset of transaction data entries where the transacting consumer identifier corresponds to the consumer identifier in the specific consumer profile; and updating the fraud scoring rules based on the transaction da

Abstract: A method for linking law enforcement data to transaction data includes: storing a plurality of transaction data entries, each entry including data related to a payment transaction including a geographic location associated with the related transaction, a transaction time and/or date, and transaction data; receiving law enforcement data, the data being related to criminal and law enforcement activity and including a geographic enforcement area, a period of time, and one or more law enforcement characteristics associated with the activity; identifying a subset of transaction data entries where each entry in the subset includes a geographic location included in a geographic transaction area corresponding to the geographic enforcement area and a transaction time and/or date included in the period of time; and identifying an economic impact of the criminal and law enforcement activity based on the transaction data included in the transaction data entries included in the identified subset.

Abstract: A method and system for verifying cardholder compliance or non-compliance with a mandated services requirement by a third party using a payment card payment card network coupled to a database are provided. The method includes receiving sets of predetermined parameters that each define a transaction for one or more mandated services, receiving, by the computer device, transaction data for a plurality of transactions, determining, by the computer device, transactions for one or more mandated services from the plurality of received transactions using the received sets of parameters, summarizing the transaction data from the determined transactions, and transmitting the summarized transaction data to the third party, the summarized transaction data demonstrating cardholder compliance or noncompliance with the mandated services requirement.

Abstract: A method and a system are provided for selecting an audience of potential acceptors for receiving a targeted communication and for making a targeted communication to an audience of potential acceptors. The method involves retrieving, from one or more databases, a first set of information including checking account activities and characteristics attributable to an audience of checking account customers. At least a portion of the audience of checking account customers are identifiably associated with an audience of payment card holders. The method also involves retrieving, from one or more databases, a second set of information including payment card activities and characteristics attributable to the audience of payment card holders. Payment card holders meeting selection criteria are identified based on the first set of information and the second set of information. Payment card holders meeting the selection criteria are selected for receiving a targeted communication (e.g., a payment card upgrade).

Abstract: Methods and systems of performing multi-party transactions through a single authorization and multiple settlements is disclosed. The transaction involves a consumer entering into primary and secondary transactions as a single transaction for a merchant's and third party's products, wherein the third party products are not located at the merchant's establishment. Additionally, third party merchant offers may be filtered depending on information pertaining to the consumer.

Abstract: A method for linking traffic data to transaction data includes: storing a plurality of transaction data entries, each entry including data related to a payment transaction including at least a geographic location associated with the related payment transaction, a transaction time and/or date, and transaction data; receiving traffic data, the traffic data being related to vehicle traffic and including at least a geographic traffic area, a period of time, and one or more traffic characteristics associated with the vehicle traffic; identifying a subset of transaction data entries where each entry in the subset includes a geographic location included in a geographic transaction area corresponding to the geographic traffic area and a transaction time and/or date included in the period of time; and identifying an economic impact of the vehicle traffic based on at least the transaction data included in each of the transaction data entries included in the identified subset.

Abstract: A method includes receiving a first data set and accessing a second data set. The first data set includes location and time profiles. The second data set includes transaction profiles. The first and second data sets are analyzed to propose matches of location and time profiles with transaction profiles. A respective score is assigned to each proposed match. In the analysis and assignment of scores, a first percentage is assigned to each location and time profile relative to each transaction profile. The first percentage equals a percentage of data elements in the location and time profile that is represented in the respective transaction profile. For some of the transaction profiles, a second percentage is assigned. The second percentage equals the percentage of transactions in the transaction profile that is represented in a proposed matching location and time profile.

Abstract: A method for performing analytics processing in order to determine economic impact of an event on a particular market includes: receiving event information from an event storage unit, the event information including event data associated with an event and a venue in which the associated event occurred; receiving payment transaction information from a transaction storage unit, the payment transaction information including transaction data associated with each of a plurality of payment transactions; identifying a particular event and a particular venue associated with event data included in the received event information; identifying transaction data for payment transactions that occurred within a particular time frame of the particular event and within a specified area of a location of the selected event from the received payment transaction information; and determining an economic impact of the particular event on a particular market based on the identified transaction data.