Abstract: Provided is a method for representing an identifier (e.g., primary account number (PAN)) of a customer with a sequence of words. The method may include dividing the identifier (e.g., PAN) of a customer into a plurality of subsets of digits. A respective word from a database of words may be determined for each respective subset of digits of the plurality of subsets of digits. The respective words for the plurality of subsets of digits may be combined into a sequence of words. The sequence of words may be provided to a customer device of the customer. A system and computer program product are also disclosed.

Abstract: Provided is a method for representing an identifier (e.g., primary account number (PAN)) of a customer with a sequence of words. The method may include dividing the identifier (e.g., PAN) of a customer into a plurality of subsets of digits. A respective word from a database of words may be determined for each respective subset of digits of the plurality of subsets of digits. The respective words for the plurality of subsets of digits may be combined into a sequence of words. The sequence of words may be provided to a customer device of the customer. A system and computer program product are also disclosed.

Abstract: A method for validating an active campaign before implementing the active campaign with at least one user includes generating a test user account, selecting at least one test user parameter for the test user account, generating a test campaign, selecting at least one test campaign parameter, initiating a test simulation of the test campaign using the test user account, determining whether the test user account satisfies the at least one test campaign parameter, and implementing an active campaign, which corresponds to the test campaign, by sending a message regarding the active campaign to the at least one user based on the test user account satisfying the at least one test campaign parameter.

Abstract: Described are a system, method, and computer program product for analyzing transaction activity clusters to generate travel paths and associated regions in proximity thereto. The method includes receiving transaction data representative of a plurality of transactions between at least one transaction account of an account holder and a plurality of merchants. The transaction data includes at least a geolocation for each transaction. The method also includes generating at least two clusters of transactions and determining at least one point within each cluster of transactions. The method further includes generating at least one route connecting each of the at least two clusters of transactions. The method further includes generating a bounded region including the at least one route and determining a set of merchants within the bounded region. The method further includes associating at least one merchant of the set of merchants with the at least one transaction account.