Abstract: A computer server system and method are disclosed for personalization and customization of search results and search result rankings, such as for Internet searching.

Abstract: The present disclosure includes a system, method, and article of manufacture for spend based targeting and measurement. The method may comprise transmitting to a third party system a model and/or a measurement file associating a first party cookie ID with a model, and receiving, from the third party system, an updated model (and/or measurement) file associating a third party cookie ID with web-browsing data. The third party cookie ID may anonymously and uniquely correspond to the first party cookie ID, and the first party cookie ID may be stripped from the updated model (and/or measurement) file to de-identify a customer associated with the first party cookie ID. Moreover, the web-browsing data may be received by the third party system from a second party system.

Abstract: Transaction-level data and size of wallet data may be used to identify luxury merchants. In an embodiment, luxury merchants are identified based on their average record of charge (ROC) size in combination with the percentage of high-wallet consumers who transact with the merchants. Customers having a high share of wallet spent at luxury merchants may be identified as luxury consumers.

Abstract: The present disclosure includes a system, method, and article of manufacture for spend based targeting and measurement. The method may comprise transmitting to a third party system a model and/or a measurement file associating a first party cookie ID with a model, and receiving, from the third party system, an updated model (and/or measurement) file associating a third party cookie ID with web-browsing data. The third party cookie ID may anonymously and uniquely correspond to the first party cookie ID, and the first party cookie ID may be stripped from the updated model (and/or measurement) file to de-identify a customer associated with the first party cookie ID. Moreover, the web-browsing data may be received by the third party system from a second party system.

Abstract: Transaction-level data and size of wallet data may be used to identify industry passionate consumers. In an embodiment, industry passionate consumers are identified based on a ratio of spend within an industry to total spend of the consumer. In another embodiment, industry passionate consumers are identified based on a modeling of the consumer's wallet and determining the ratio of spend within an industry to total spend of the consumer. The consumers may be ranked according to their ratios, with the consumers having the highest ratios being identified as industry passionate consumers.

Abstract: Transaction-level data and size of wallet data may be used to identify luxury merchants. In an embodiment, luxury merchants are identified based on their average record of charge (ROC) size in combination with the percentage of high-wallet consumers who transact with the merchants. Customers having a high share of wallet spent at luxury merchants may be identified as luxury consumers.

Abstract: To determine brand affiliation, a consumer criterion may be identified. A filtered group of one or more consumers may be created in which each consumer in the filtered group is subject to the consumer criterion. A percentage of consumers in the filtered group of consumers having at least one transaction with a brand of interest may then be determined. A percentage of consumers in a control group of consumers having at least one transaction with the brand of interest may also be determined. A ratio comparing the percentage of consumers in the filtered group to the percentage of consumers in the control group may then be calculated. Based on the calculated ratio, the brand affiliation between the consumer criterion and the brand of interest is determined. This affiliation can be leveraged to target marketing materials for one of the brands to consumers of the second brand.