Abstract: Systems and methods are disclosed for tracking consumer spend behavior to predict attrition. One method includes: receiving past transaction data related to a plurality of past payment transactions of a consumer; receiving environmental and/or behavioral data associated with each of the past payment transactions of the consumer; determining a spend behavior model of the consumer; subsequent to determining the spend behavior model of the consumer, receiving transaction data related to one or more current payment transactions of the consumer; receiving environmental and/or behavioral data associated with the one or more current payment transactions; determining, based on an analysis of the current transaction data and environmental and/or behavioral data associated with each of the current payment transactions, a current spend behavior of the consumer; and determining, based on a comparison of the current spend behavior with the spend behavior model, the likelihood of an attrition of the current spend behavior.

Abstract: Systems and methods are disclosed for attributing payment vehicle purchase events to previous activity of a purchaser. One method comprises: receiving purchase information associated with a purchase event by a purchaser; comparing the received purchase information to a profile data store to identify a purchaser profile associated with the purchaser, the profile data store comprising a plurality of purchaser profiles, wherein each purchaser profile comprises payment vehicle data and a tracking element; determining the tracking element of the identified purchaser profile; identifying one or more activities of the purchaser using the tracking element of the identified purchaser profile; for each of the identified one or more activities, assessing the strength of attributing the purchase event to the activity, using environmental and/or behavioral data associated with the tracking element; and determining whether to attribute the purchase event to one or more of the identified activities based on the assessment.

Abstract: Systems and methods are disclosed for providing an account holder with an incentive-consent matrix at a point-of-sale device of a merchant. The account holder can provide consent to store transaction related data and obtain an incentive in exchange. The incentive can be a coupon or other offering associated with the merchant. Varying levels of consent can be offered, with each level associated with an incentive having a different relative value. The transaction data can subsequently be provided to a recipient in accordance with the consent received from the account holder.

Abstract: Systems and methods are disclosed for generating consumer analytics for products placed in online shopping carts. A profiler computing system generates a unique tacking profile for associating purchase events by a purchaser. Payment vehicle data and a tracking element are associated with the identified purchaser profile. The purchaser profile may be generated based on purchase information associated with an initial purchase event by the purchaser. The profiler computing system determines whether products abandoned in online shopping carts are purchased at brick-and-mortar affiliates or other merchant forums. Other embodiments are described and claimed.

Abstract: A method for routing electronic payment transactions includes receiving transaction-related information from a merchant, extracting transaction routing criteria from the received transaction-related information, dynamically identifying one or more eligible payment networks based on extracted transaction routing criteria, predicting a likelihood of authorization acceptance for each identified network based on the transaction-related information, dynamically identifying one or more breakeven transaction amounts for each identified eligible payment network, each breakeven transaction amount defining a point at which two or more eligible payment networks have the same expenses for a given transaction amount, the expenses including costs associated with a low predicted likelihood of authorization acceptance, and routing signature debit transactions from the merchant to a least cost PIN-less debit network selected from the eligible payment networks based on identification of a desired breakeven transaction amount f

Abstract: A method for routing electronic payment transactions includes receiving transaction-related information from a merchant, extracting transaction routing criteria from the received transaction-related information, dynamically identifying one or more eligible payment networks based on extracted transaction routing criteria, predicting a likelihood of authorization acceptance for each identified network based on the transaction-related information, dynamically identifying one or more breakeven transaction amounts for each identified eligible payment network, each breakeven transaction amount defining a point at which two or more eligible payment networks have the same expenses for a given transaction amount, the expenses including costs associated with a low predicted likelihood of authorization acceptance, and routing signature debit transactions from the merchant to a least cost PIN-less debit network selected from the eligible payment networks based on identification of a desired breakeven transaction amount f

Abstract: Systems and methods are disclosed for tracking consumer spend behavior to predict attrition. One method includes: receiving past transaction data related to a plurality of past payment transactions of a consumer; receiving environmental and/or behavioral data associated with each of the past payment transactions of the consumer; determining a spend behavior model of the consumer; subsequent to determining the spend behavior model of the consumer, receiving transaction data related to one or more current payment transactions of the consumer; receiving environmental and/or behavioral data associated with the one or more current payment transactions; determining, based on an analysis of the current transaction data and environmental and/or behavioral data associated with each of the current payment transactions, a current spend behavior of the consumer; and determining, based on a comparison of the current spend behavior with the spend behavior model, the likelihood of an attrition of the current spend behavior.

Abstract: Systems and methods are disclosed for attributing payment vehicle purchase events to previous activity of a purchaser. One method comprises: receiving purchase information associated with a purchase event by a purchaser; comparing the received purchase information to a profile data store to identify a purchaser profile associated with the purchaser, the profile data store comprising a plurality of purchaser profiles, wherein each purchaser profile comprises payment vehicle data and a tracking element; determining the tracking element of the identified purchaser profile; identifying one or more activities of the purchaser using the tracking element of the identified purchaser profile; for each of the identified one or more activities, assessing the strength of attributing the purchase event to the activity, using environmental and/or behavioral data associated with the tracking element; and determining whether to attribute the purchase event to one or more of the identified activities based on the assessment.

Abstract: Systems and methods are disclosed for providing an account holder with an incentive-consent matrix at a point-of-sale device of a merchant. The account holder can provide consent to store transaction related data and obtain an incentive in exchange. The incentive out be a coupon or other offering associated with the merchant. Varying levels of consent can be offered, with each level associated with an incentive having a different relative value. The transaction data can subsequently be provided to a recipient in accordance with the consent received from the account holder.

Abstract: Systems and methods are for routing electronic payment transactions to PIN-less networks using payment pseudo-networks and electronic transaction simulation.

Abstract: Systems and methods are disclosed for generating consumer analytics for products placed in online shopping carts. A profiler computing system generates a unique tacking profile for associating purchase events by a purchaser. Payment vehicle data and a tracking element are associated with the identified purchaser profile. The purchaser profile may be generated based on purchase information associated with an initial purchase event by the purchaser. The profiler computing system determines whether products abandoned in online shopping carts are purchased at brick-and-mortar affiliates or other merchant forums. Other embodiments are described and claimed.

Abstract: A method for routing electronic payment transactions includes receiving transaction-related information from a merchant, extracting transaction routing criteria from the received transaction-related information, dynamically identifying one or more eligible payment networks based on extracted transaction routing criteria, predicting a likelihood of authorization acceptance for each identified network based on the transaction-related information, dynamically identifying one or more breakeven transaction amounts for each identified eligible payment network, each breakeven transaction amount defining a point at which two or more eligible payment networks have the same expenses for a given transaction amount, the expenses including costs associated with a low predicted likelihood of authorization acceptance, and routing signature debit transactions from the merchant to a least cost PIN-less debit network selected from the eligible payment networks based on identification of a desired breakeven transaction amount f

Abstract: A method for routing electronic payment transactions includes receiving transaction-related information from a merchant, extracting transaction routing criteria from the received transaction-related information, dynamically identifying one or more eligible payment networks based on extracted transaction routing criteria, predicting a likelihood of authorization acceptance for each identified network based on the transaction-related information, dynamically identifying one or more breakeven transaction amounts for each identified eligible payment network, each breakeven transaction amount defining a point at which two or more eligible payment networks have the same expenses for a given transaction amount, the expenses including costs associated with a low predicted likelihood of authorization acceptance, and routing signature debit transactions from the merchant to a least cost PIN-less debit network selected from the eligible payment networks based on identification of a desired breakeven transaction amount f

Abstract: A method for optimizing refunds for suspected or detected fraudulent transactions includes receiving a chargeback analysis request for a potential chargeback transaction from a merchant or a payment processor using an Application Programming Interface (API) over a computer network, extracting identifying information of transactions associated with the chargeback transaction from the chargeback analysis request, searching for a chargeback analysis profile in a profile database, determining whether the chargeback analysis profile exists in the profile database, upon determining that the chargeback analysis profile does not exist in the profile database, obtaining a new fraud analysis profile, determining, based on the chargeback analysis profile, a first probability that the potential chargeback transaction will result in a chargeback, determining, based on the chargeback analysis profile, a second probability that the potential chargeback transaction will result in a chargeback after a proactive electronic ref

Abstract: A method for routing electronic payment transactions may include receiving transaction-related information from a merchant, extracting transaction routing criteria from the received transaction-related information, identifying one or more eligible payment networks and one or more eligible acquirer processors based on extracted transaction routing criteria, predicting a likelihood of authorization acceptance for each combination of identified acquirer processor and identified network, identifying one or more breakeven transaction amounts for each combination of identified eligible acquirer processor and identified eligible payment network, and routing signature debit transactions from the merchant to a least cost combination of acquirer processor and PIN-less debit network selected from the eligible payment networks based on identification of a desired breakeven transaction amount for the PIN-less debit network.

Abstract: A method for optimizing refunds for suspected or detected fraudulent transactions includes receiving a chargeback analysis request for a potential chargeback transaction from a merchant or a payment processor, extracting identifying information of transactions associated with the chargeback transaction from the chargeback analysis request, searching for a chargeback analysis profile in a profile database, determining whether the chargeback analysis profile exists in the profile database, upon determining that the chargeback analysis profile does not exist in the profile database, obtaining a new fraud analysis profile, determining, based on the chargeback analysis profile, a first probability that the potential chargeback transaction will result in a chargeback, determining, based on the chargeback analysis profile, a second probability that the potential chargeback transaction will result in a chargeback after a proactive electronic refund transaction, and generating a proactive electronic refund transaction

Abstract: Systems and methods are for routing electronic payment transactions to PIN-less networks using payment pseudo-networks and electronic transaction simulation.

Abstract: A method for routing electronic payment transactions may include receiving transaction-related information from a merchant, extracting transaction routing criteria from the received transaction-related information, identifying one or more eligible payment networks and one or more eligible acquirer processors based on extracted transaction routing criteria, predicting a likelihood of authorization acceptance for each combination of identified acquirer processor and identified network, identifying one or more breakeven transaction amounts for each combination of identified eligible acquirer processor and identified eligible payment network, and routing signature debit transactions from the merchant to a least cost combination of acquirer processor and PIN-less debit network selected from the eligible payment networks based on identification of a desired breakeven transaction amount for the PIN-less debit network.

Abstract: Technologies for identifying prospective marketing targets based on payment vehicle-based payment transactions processed over electronic payment networks are disclosed. Payment vehicle-based payment transactions are analyzed to determine historical purchase activity progressions. Consumer behavior can be mapped to a historical purchase activity progression so that future spend behavior of the consumer can be identified.

Abstract: Systems and methods are for routing electronic payment transactions to PIN-less networks using payment pseudo-networks and electronic transaction simulation.