Worldpay Limited

Dennis A Kettler

Scott Wayne DeAngelo

Ryan Clapp

Brent Alan Badger

Nicole Jass

Jacob Matthew Sterling

Balaji Janakiraman Iyer

Trevor Alan Bass

David Mattei

Sayid Shabeer

Tao Hong

Dmitriy Burmistrov

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 for the PIN-less debit network.

Systems and methods for routing electronic transactions using predicted authorization approval

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 based on the first probability and the second probability.

Systems and methods for optimizing electronic refund transactions for detected fraudulent transactions

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.

Systems and methods for capturing account holder consent for transaction data collection

Systems and methods for routing electronic transactions using predicted

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.

Systems and methods for computer analytics of associations between online and offline purchase events

A payment system reduces transaction costs for online merchants. The payment system receives a transaction amount for the purchase of goods or services by a consumer from an online merchant. The payment system receives bank identification numbers for a plurality of accounts of the consumer that could be used by the consumer to pay for the good or services. The payment system determines transaction costs associated with processing a payment transaction with an acquirer processor using each of the consumer accounts. The payment system determines a recommended consumer account to use for the purchase of the good or services based at least in part on the transaction costs. Tender steering information is generated and sent to the consumer. Tender steering information includes the recommended consumer account information and one or more incentives to incentivize the consumer to use the recommended consumer account for the payment of the goods or services.

System and method for payment tender steering

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.

Systems and methods for attributing electronic purchase events to previous online and offline activity of the purchaser

Systems and methods are disclosed for predicting consumer spending behavior based on historical purchase activity progressions. One method includes: receiving transaction data related to two or more past payment transactions of a consumer; receiving environmental and/or behavioral data associated with each of the past payment transactions; determining, based on the transaction data and environmental and/or behavioral data, historical purchase activity progressions, wherein each of the historical purchase activity progressions identifies one or more trends in environmental and/or behavioral data; receiving transaction data related to a current payment transaction of the consumer; receiving environmental and/or behavioral data associated with the current payment transaction; comparing the environmental and/or behavioral data associated with one or more of the past payment transactions with environmental and/or behavioral data associated with the current payment transaction; and determining whether a progression of one or more of the past payment transactions to the current payment transaction maps to one of the historical purchase activity progressions.

Systems and methods for predicting consumer spending behavior based on historical transaction activity progressions

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.

Systems and methods for tracking consumer electronic spend behavior to predict attrition

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.

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Mason, OH, United States of America

Dennis A Kettler