Abstract: The present disclosure presents systems and related methods for creating real-time predictions. One such method comprises receiving, by a computing device, a first set of data and a second set of data, wherein the first set of data comprises a plurality of items available from a first source for a first set of users and the second set of data comprises transaction purchase data for a second set of users that have reward accounts, utilizing a predictive data model that determines a propensity score for a user from only behavior data that is not attributed to the user; receiving a third set of data from a third source comprising social media channel data for a third set of users; and updating the predictive data model to determine the propensity score for the user based at least in part on the third set of data.

Abstract: The present disclosure presents systems and related methods for creating real-time predictions. One such method comprises receiving, by a computing device, a first set of data and a second set of data, wherein the first set of data comprises a plurality of items available from a first source for a first set of users and the second set of data comprises transaction purchase data for a second set of users that have reward accounts, utilizing a predictive data model that determines a propensity score for a user from only behavior data that is not attributed to the user; receiving a third set of data from a third source comprising social media channel data for a third set of users; and updating the predictive data model to determine the propensity score for the user based at least in part on the third set of data.

Abstract: The systems, methods and computer program products (collectively “system”) described herein relate to customized real time data delivery. The system may be configured to receive, by a performance marketing cluster, first data from a first data source. The system may also receive, by the performance marketing cluster, second data from a second data source. The system may determine, by the marketing cluster, an analysis scheme for the first data and the second data based on the first data source. The system may also determine, by the marketing cluster, at least one of a propensity to act or a recommendation selected from a predefined number of available options for a population based on the analysis scheme and the first data source.

Abstract: An automotive splash guard includes first and second molded pieces. The first molded piece has a shape configured to have at least a portion thereof installed outside an automobile wheel well, and the second molded piece has a shape configured to be installed in an automobile wheel well. The first piece has an exterior painted surface, the first piece is separate from the second piece while the first piece is being painted and is attached to the second piece after being painted by mechanical joining or adhering. A method for manufacturing a splash guard includes molding the first piece; molding the second piece; painting the first piece while it is separate from the second piece; and then attaching the second piece to the first piece.

Abstract: An automotive splash guard includes first and second molded pieces. The first molded piece has a shape configured to have at least a portion thereof installed outside an automobile wheel well, and the second molded piece has a shape configured to be installed in an automobile wheel well. The first piece has an exterior painted surface, the first piece is separate from the second piece while the first piece is being painted and is attached to the second piece after being painted by mechanical joining or adhering. A method for manufacturing a splash guard includes molding the first piece; molding the second piece; painting the first piece while it is separate from the second piece; and then attaching the second piece to the first piece.

Abstract: The systems, methods and computer program products (collectively “system”) described herein relate to customized real time data delivery. The system may be configured to receive, by a performance marketing cluster, first data from a first data source. The system may also receive, by the performance marketing cluster, second data from a second data source. The system may determine, by the marketing cluster, an analysis scheme for the first data and the second data based on the first data source. The system may also determine, by the marketing cluster, at least one of a propensity to act or a recommendation selected from a predefined number of available options for a population based on the analysis scheme and the first data source.