Patent application number | Description | Published |
20090012839 | Determining Brand Affiliations - 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. | 01-08-2009 |
20100131400 | Automatic Classification of Credit Card Customers - According to embodiments of the present invention there is provided a computer-based method and a computer program product for automatically sorting customers who make purchases from merchants using a credit card. The computer-based method includes the following steps. An adjusted index is calculated for a customer based on an amount of money the customer spent across merchants during a time period. The adjusted index is compared to a cut-off value. The customer is classified based on the comparison of the adjusted index to the cut-off value. In an embodiment, the method also includes re-classifying the customer based on at least one of (i) information about the merchants, or (ii) a number of transactions in a predetermined industry. | 05-27-2010 |
20110099202 | Anonymous Information Exchange - A third party facilitates exchange of customer data between first and second entities while maintaining customer privacy. Personally identifiable information (PII) and first entity customer attributes of a first set of customers are received from a first entity. PII for a second set of customers is received from a second entity. First and second set common customers are identified using the PII of the first and the second set of customers. Subsequently, a list of third set of customers is sent to the second entity. The list of third set of customers includes the common customers and a plurality of other customers from the second set of customers. Second entity customer attributes are received for each customer in the list of third set of customers. Further, the first entity customer attributes of the common customers and the second entity customer attributes of the common customers are linked. | 04-28-2011 |
20120271744 | INDUSTRY SIZE OF WALLET - Consumer spend by industry is modeled based on the industry sizes of wallet of consumers having a high share of wallet with a financial institution. A size of wallet is calculated for each consumer in a plurality of consumers. A share of wallet for each consumer is also calculated. A subset of the plurality of consumers whose share of wallet is above a given percentage of their size of wallet is then determined. For each consumer in the subset, an industry size of wallet is determined. A correlation between the industry size of wallet of a given consumer and one or more characteristics of the given consumer is then derived using the industry size of wallet for the consumers in the subset. | 10-25-2012 |
20130006766 | Spend Based Digital Ad Targeting and Measurement - 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. | 01-03-2013 |
20130191262 | INDUSTRY SIZE OF WALLET - Consumer spend by industry is modeled based on the industry sizes of wallet of consumers having a high share of wallet with a financial institution. A size of wallet is calculated for each consumer in a plurality of consumers. A share of wallet for each consumer is also calculated. A subset of the plurality of consumers whose share of wallet is above a given percentage of their size of wallet is then determined. For each consumer in the subset, an industry size of wallet is determined. A correlation between the industry size of wallet of a given consumer and one or more characteristics of the given consumer is then derived using the industry size of wallet for the consumers in the subset. | 07-25-2013 |
20140081705 | INDUSTRY SIZE OF WALLET - Consumer spend by industry is modeled based on the industry sizes of wallet of consumers having a high share of wallet with a financial institution. A size of wallet is calculated for each consumer in a plurality of consumers. A share of wallet for each consumer is also calculated. A subset of the plurality of consumers whose share of wallet is above a given percentage of their size of wallet is then determined. For each consumer in the subset, an industry size of wallet is determined. A correlation between the industry size of wallet of a given consumer and one or more characteristics of the given consumer is then derived using the industry size of wallet for the consumers in the subset. | 03-20-2014 |
20140380495 | ANONYMOUS INFORMATION EXCHANGE - A third party facilitates exchange of customer data between first and second entities while maintaining customer privacy. Personally identifiable information (PII) and first entity customer attributes of a first set of customers are received from a first entity. PIT for a second set of customers is received from a second entity. First and second set common customers are identified using the PII of the first and the second set of customers. Subsequently, a list of third set of customers is sent to the second entity. The list of third set of customers includes the common customers and a plurality of other customers from the second set of customers. Second entity customer attributes are received for each customer in the list of third set of customers. Further, the first entity customer attributes of the common customers and the second entity customer attributes of the common customers are linked. | 12-25-2014 |