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.

Abstract: A method for predicting the occurrence of a future political event includes: storing a plurality of event data entries, each entry including data related to a past political event including at least an event category associated with the related political event and one or more past transaction behaviors; storing a plurality of transaction data entries, each entry including data related to a payment transaction conducted in a predetermined geographic area including at least transaction data; identifying one or more current transaction behaviors based on the transaction data included in each transaction data entry; identifying a specific event data entry based on a correspondence between the identified one or more current transaction behaviors and the one or more past transaction behaviors included in the specific event data entry; and predicting an event associated with the event category included in the specific event data entry in the predetermined geographic area.

Abstract: A system, method, and computer-readable storage medium configured to enable insurance-related risk behavior modeling of individuals based on their payment card purchases.

Abstract: A system, method, and computer-readable storage medium configured to enable investment-related risk behavior modeling of individuals based on their payment card purchases.

Abstract: A method for calculating consumer metrics includes: storing a plurality of transaction data entries, each entry including a transaction time and transaction geographic location associated with a transaction involving a consumer; receiving a plurality of location data entries, each entry including a consumer geographic location and a location time at which the consumer was at the location; identifying a first subset of location data entries, each entry in the first subset corresponding to a transaction data entry where the times and geographic locations correspond; identifying a second subset of location data entries, wherein the second subset includes each location data entry not in the first subset; calculating a consumer metric based on the location data entries and transaction data entries in the first subset and the location data entries in the second subset; and associating the calculated consumer metric with a consumer profile associated with the consumer.

Abstract: A system and a computer-implemented method for determining market saturation of industries in selectable geographic regions are provided. The method is implemented using a market saturation computer subsystem in communication with a payment processor, the market saturation computer subsystem coupled to a memory device and the including receiving financial transaction data associated with financial transactions performed in a selectable geographic area, receiving a selection of a subarea of the selectable geographic area, and receiving a selection of one or more comparison subareas.

Abstract: Transaction data from a set of transactions is examined to identify a portion of spending in the set of transactions which is eligible for coverage by a special spending account. The set of transactions was not made with the special spending account. A funding recommendation for the special spending account is provided, based on the identified portion of the spending in the set of transactions which is eligible for the coverage by the special spending account.

Abstract: A method and a system are provided for identifying optimal rewards programs. The method involves retrieving from one or more databases a first set of information comprising payment card holder transaction information including at least purchasing activities and optionally payment activities attributable to the payment card holder, and retrieving from one or more databases a second set of information comprising a plurality of rewards programs. One or more predictive behavioral spend profiles are generated based on the first set of information. The one or more predictive behavioral spend profiles and the second set of information are then analyzed to identify one or more correlations between the one or more predictive behavioral spend profiles and the plurality of rewards programs. Targeted information, based on the one or more correlations, is provided to one or more entities (e.g., payment card holder or merchant).

Abstract: According to some embodiments, transaction information associated with payments made via a payment account (e.g., a credit card account) associated with an account owner may be retrieved from a transaction database. The retrieved transaction information may then be analyzed to automatically determine vehicle information associated with the account owner. For example, estimated driving information or predicted vehicle ownership information might be automatically determined.

Abstract: According to some embodiments, transaction information associated with payments made via a payment account may be retrieved from a transaction database. A code book may be accessed containing a plurality of payment codes and, for each payment code, logic defining when that payment code is applicable to a payment. The retrieved transaction information may then be analyzed to automatically determine which payment codes are associated with each payment. The automatically determined coded transaction information may then be output.

Abstract: According to some embodiments, transaction information associated with payments made via a payment account may be retrieved from a transaction database. The retrieved transaction information may then be analyzed to automatically determine periodic payment information (e.g., associated with a subscription or membership) associated with the payment account. The automatically determined periodic payment information may then be output. For example, a predicted next periodic payment due date might be calculated and output.

Abstract: An economic performance forecasting system includes computer storage configured to store payment card transaction records. A computer processor is configured to access the computer storage and determine from the stored payment card transaction records a total (TToDate) of transaction amounts for transaction records having a transaction date and a process date during a current period as of a current date. The processor determines from the stored payment card transaction records a total (PToDate) of transaction amounts for transaction records having a transaction date in prior period and having a process date equal to or earlier than a prior date. The computer processor determines a relationship between TToDate and PToDate.

Abstract: A method for linking phone data to transaction history includes: storing, in a database, a plurality of consumer profiles, wherein each consumer profile includes data related to a consumer including at least a plurality of consumer characteristics and plurality of transaction data entries, each transaction data entry corresponding to a payment transaction involving the related consumer; receiving, by a receiving device, a phone profile, wherein the phone profile includes at least a phone number associated with a specific consumer and a plurality of demographic characteristics associated with the specific consumer; identifying, by a processing device, at least one consumer profile of the plurality of consumer profiles where at least a predefined number of the included plurality of consumer characteristics correspond to the plurality of demographic characteristics; and associating, in the database, each of the identified at least one consumer profile with the phone number included in the received phone profile.

Abstract: A method for linking medical data to transaction history includes: storing, in a database, a plurality of consumer profiles, wherein each consumer profile includes data related to a consumer including at least a plurality of consumer characteristics and a plurality of transaction data entries, each transaction data entry corresponding to a payment transaction involving the related consumer; receiving, by a receiving device, a medical profile, wherein the medical profile includes medical data associated with a specific consumer and a plurality of demographic characteristics associated with the specific consumer; identifying, by a processing device, at least one consumer profile of the plurality of consumer profiles where at least a predefined number of the included plurality of consumer characteristics correspond to the plurality of demographic characteristics; and associating, in the database, each of the identified at least one consumer profile with the medical data included in the received medical profile.

Abstract: A method for linking device data to transaction history includes: storing a plurality of consumer profiles, wherein each consumer profile includes data related to a consumer including at least a plurality of consumer characteristics and a plurality of transaction data entries, each transaction data entry corresponding to a payment transaction involving the related consumer; receiving, by a receiving device, a device profile, wherein the device profile includes device data corresponding to a consumer device and a plurality of demographic characteristics associated with a consumer associated with the corresponding consumer device; identifying, by a processing device, at least one consumer profile of the plurality of consumer profiles where at least a predefined number of the included plurality of consumer characteristics correspond to the plurality of demographic characteristics; and associating each of the identified at least one consumer profile with the device data included in the received device profile.

Abstract: A method for providing parking meter alert notifications includes: storing a plurality of parking rate data entries, each entry including data related to a parking meter including at least a point of sale identifier associated with the related parking meter and a timing rate; receiving transaction data for a payment transaction associated with a specific parking meter, wherein the transaction data includes at least a specific consumer identifier, a transaction amount, a specific point of sale identifier associated with the specific parking meter, and a transaction time; identifying a specific parking rate data entry where the included point of sale identifier corresponds to the specific point of sale identifier; identifying an expiration time based on the transaction time, the transaction amount, and the timing rate included in the identified specific parking rate data entry; and transmitting an alert notification to a consumer based on the specific consumer identifier.

Abstract: A method for distributing consumer analytics to a point-of-sale device includes: storing a plurality of consumer profiles, each profile including data related to a consumer including a consumer identifier associated with the related consumer, a plurality of consumer characteristics, and a plurality of transaction data entries, each entry corresponding to a payment transaction involving the related consumer and including transaction data; receiving a consumer profile request, the request including a specific consumer identifier and one or more requested consumer metrics; identifying a specific consumer profile where the included consumer identifier corresponds to the specific consumer identifier; calculating the requested consumer metrics for the consumer related to the specific consumer profile based on the transaction data included in the plurality of transaction data entries included in the specific consumer profile; and transmitting the consumer characteristics included in the specific consumer profile and

Abstract: A method for linking vehicle data to transaction history includes: storing, in a database, a plurality of consumer profiles, wherein each consumer profile includes data related to a consumer including at least a plurality of consumer characteristics and a plurality of transaction data entries, each transaction data entry corresponding to a payment transaction involving the related consumer; receiving, by a receiving device, a vehicle profile, wherein the vehicle profile includes vehicle data associated with a specific consumer and a plurality of demographic characteristics associated with the specific consumer; identifying, by a processing device, at least one consumer profile of the plurality of consumer profiles where at least a predefined number of the included plurality of consumer characteristics correspond to the plurality of demographic characteristics; and associating, in the database, each of the identified at least one consumer profile with the vehicle data included in the received vehicle profile.

Abstract: A method for linking biometric data to transaction history includes: storing, in a database, a plurality of consumer profiles, wherein each consumer profile includes data related to a consumer including at least a plurality of consumer characteristics and a plurality of transaction data entries, each transaction data entry corresponding to a payment transaction involving the related consumer; receiving, by a receiving device, a biometric profile, wherein the biometric profile includes biometric data associated with a specific consumer and a plurality of demographic characteristics associated with the specific consumer; identifying, by a processing device, at least one consumer profile of the plurality of consumer profiles where at least a predefined number of the included plurality of consumer characteristics correspond to the plurality of demographic characteristics; and associating, in the database, each of the identified at least one consumer profile with the biometric data included in the received biometr

Abstract: A method for creating a control group for campaign measurements includes: storing a plurality of consumer profiles, each profile including data related to a consumer including an account identifier, spend behavior, and microsegment associated with the consumer; receiving a plurality of measurement profiles, each profile including data related to a consumer including a specific account identifier and indication of participation or non-participation in a campaign; associating each consumer profile with a measurement profile where the included account identifier corresponds to the specific account identifier of the measurement profile; identifying a campaign group, the campaign group including consumer profiles, each profile including a common microsegment and spend behavior and associated with a measurement profile indicating participation in the campaign; and identifying a control group, the control group including consumer profiles, each profile including the common microsegment and spend behavior and associa