Mastercard International Incorporated

Kristofer D Perez

Pedro J Chavarria

Sharath Sahadevan

A computer-implemented method for detecting fraudulent payment transactions performed over a payment network is provided. The method includes receiving, by a fraud monitoring device, a request to determine whether a payment transaction initiated using a payment card of a cardholder is fraudulent, wherein the request includes at least one of a merchant identifier, a merchant location, a cardholder identifier, and a transaction timestamp, associating the cardholder with a social media account based on the cardholder identifier, and receiving the social media location data from a social media computing device. The social media location data indicates a location of the cardholder at a particular time. The method also includes calculating a distance between the merchant location and the location of the cardholder indicated by the social media location data, and a time between the transaction timestamp and the particular time associated with the social media location data.

Systems and methods for monitoring payment transactions for fraud using social media

A computer-implemented method for recommending a merchant based on transaction data is provided. The method is implemented using an analyzer computing device in communication with one or more memory devices. The method includes generating a profile indicating a stage of life of a cardholder, based at least in part on first transaction data stored in the one or more memory devices. The first transaction data is associated with one or more purchases made by the cardholder through a payment network. The method additionally includes retrieving, from the one or more memory devices, second transaction data associated with a plurality of sales from a first merchant, determining a transaction volume associated with the first merchant, and generating a recommendation for the cardholder to purchase goods from the first merchant, based at least in part on the determined transaction volume and the profile.

Method and system for recommending a merchant based on transaction data

A computer-implemented method for estimating a price of a candidate trip based on transaction data is provided. The method includes generating a profile associated with a first cardholder, based at least in part on stored first transaction data associated with one or more purchases made by the first cardholder through a payment network. The profile indicates a spending trend of the first cardholder. The method additionally includes determining a price paid by at least a second cardholder for a reference trip, based at least in part on second transaction data stored in one or more memory devices. The second transaction data is associated with purchases made by the second cardholder through the payment network during the reference trip. Additionally, the method includes determining an estimated price for the candidate trip for the first cardholder by adjusting the price paid based at least in part on the spending trend of the first cardholder.

Method and system for estimating a price of a trip based on transaction data

A computer implemented method for categorizing neighborhoods based on cardholder transactions is provided. The method is implemented using a computing device having a processor communicatively coupled to a memory. The method includes receiving a plurality of payment transactions from a plurality of cardholders, generating a list of cardholders based on the plurality of payment transactions, determining one or more life stage segments for each cardholder based on the plurality of payment transactions, determining one or more geographic regions based in part on the plurality of payment transactions where each geographic region contains a plurality of cardholders, determining a lifestyle category for at least one geographic region of the one or more geographic regions based on the one or more life stage segments of each of the cardholders associated with the corresponding geographic region, and providing a lifestyle report for the at least one geographic region.

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New York, NY, United States of America

Kristofer D Perez