Abstract: Methods and systems for enhancing transactional data with retailer data and customer purchasing behavior are disclosed. A transactional data evaluator receives a first set of aggregated customer transaction data, having no PII and a second set of aggregated customer transaction data, having PII. The first set is compared with the second set. Each time a match is found between at least one customer in the first set of aggregated customer transaction data and the at least one customer in the second set of aggregated customer transaction data, the data is combined to form a customer wallet that includes the PII and one or more customer metrics. Based on an evaluation of the plurality of customer wallets in combination with the one or more metrics, a customer behavior presentation for the plurality of different customers is generated for a retailer.

Abstract: Methods and systems for enhancing transactional data with retailer data including retailer-competitor and retailer-non competitor data are disclosed. A transactional data evaluator receives a first set of aggregated customer transaction data, having no PII and a second set of aggregated customer transaction data, having PII. The first set is compared with the second set. When a match is found between at least one customer in the first set of aggregated customer transaction data and the at least one customer in the second set of aggregated customer transaction data, the first and second sets are combined into a customer wallet. Based on an evaluation of the customer wallet, an overall transaction behavior of the at least one customer with respect to the retailer and at least one competitor of the retailer is generated.

Abstract: Methods and systems for enhancing transactional data with retailer data are disclosed. A transactional data evaluator receives a first set of aggregated customer transaction data, having no personally identifiable information (PII) and a second set of aggregated customer transaction data, having PII. The first set of aggregated customer transaction data is compared with the second set of aggregated customer transaction data. When a match is found between at least one customer in the first set of aggregated customer transaction data and the at least one customer in the second set of aggregated customer transaction data, the first and second sets of aggregated customer transaction data for the at least one customer is combined into a customer wallet. Based on an evaluation of the customer wallet, a quantified and specific information regarding a transaction behavior of the at least one customer with respect to the retailer is generated.

Abstract: A video game includes: (i) a graphic user interface that presents a user a simulation of real-life events; (ii) a content database containing a collection of actual photos and videos of real-life events; (iii) a simulation engine that, presents a plurality of possible actions to the user, receives a selection of at least one of the actions from the user, identifies at least one photo or video in the database that is associated with the user-selected action, and presents the user with a result in response to the selection, wherein the result includes the identified photo or video; (iv) a content update module that receives updated photo or video content from one or more content distributors, creates an association element for the updated content and an available action in the game, and includes the updated content and association element in the content database; and (v) a scoring module.

Abstract: A video game includes: (i) a graphic user interface that presents a user a simulation of real-life events; (ii) a content database containing a collection of actual photos and videos of real-life events; (iii) a simulation engine that, presents a plurality of possible actions to the user, receives a selection of at least one of the actions from the user, identifies at least one photo or video in the database that is associated with the user-selected action, and presents the user with a result in response to the selection, wherein the result includes the identified photo or video; (iv) a content update module that receives updated photo or video content from one or more content distributors, creates an association element for the updated content and an available action in the game, and includes the updated content and association element in the content database; and (v) a scoring module.