Abstract: The present disclosure includes a system, method, and article of manufacture for measuring the effectiveness of an advertisement. In various embodiments, the system may compare exposed data indicating that a first customer was exposed to a targeted advertisement to a first spending activity associated with the first customer. The system may further compare unexposed data indicating that a second customer was exposed to a neutral advertisement to a second spending activity associated with the second customer. Further still, the system may, in various embodiments, generate a spend report based on the comparing the exposed data to the first spending activity and the comparing the unexposed data to the second spending activity.

Abstract: The present disclosure includes a system, method, and article of manufacture for spend based targeting. In various embodiments, the system may transmit, to a third party system, a spend data file associating a first party cookie ID with spend data, as well as a first party cookie ID and/or a third party cookie ID to a web client. The web client may transmit the first party cookie ID and/or the third party cookie ID to the third party system, and the third party system may generate a look alike model for targeting advertisements to the web client based on the spend data file and clickstream data associated with the web client. In various embodiments, the third party system may match the third party cookie ID with the first party cookie ID in the spend data file, which may associate a customer with a segment.

Abstract: 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.

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: The present disclosure includes a system, method, and article of manufacture for measuring the effectiveness of an advertisement. In various embodiments, the system may compare exposed data indicating that a first customer was exposed to a targeted advertisement to a first spending activity associated with the first customer. The system may further compare unexposed data indicating that a second customer was exposed to a neutral advertisement to a second spending activity associated with the second customer. Further still, the system may, in various embodiments, generate a spend report based on the comparing the exposed data to the first spending activity and the comparing the unexposed data to the second spending activity.

Abstract: The present disclosure includes a system, method, and article of manufacture for measuring the effectiveness of an advertisement. In various embodiments, the system may compare exposed data indicating that a first customer was exposed to a targeted advertisement to a first spending activity associated with the first customer. The system may further compare unexposed data indicating that a second customer was exposed to a neutral advertisement to a second spending activity associated with the second customer. Further still, the system may, in various embodiments, generate a spend report based on the comparing the exposed data to the first spending activity and the comparing the unexposed data to the second spending activity.

Abstract: The present disclosure includes a system, method, and article of manufacture for spend based targeting. In various embodiments, the system may transmit, to a third party system, a spend data file associating a first party cookie ID with spend data, as well as a first party cookie ID and/or a third party cookie ID to a web client. The web client may transmit the first party cookie ID and/or the third party cookie ID to the third party system, and the third party system may generate a look alike model for targeting advertisements to the web client based on the spend data file and clickstream data associated with the web client. In various embodiments, the third party system may match the third party cookie ID with the first party cookie ID in the spend data file, which may associate a customer with a segment.

Abstract: The present disclosure includes a system, method, and article of manufacture for spend based targeting. In various embodiments, the system may transmit, to a third party system, a spend data file associating a first party cookie ID with spend data, as well as a first party cookie ID and/or a third party cookie ID to a web client. The web client may transmit the first party cookie ID and/or the third party cookie ID to the third party system, and the third party system may generate a look alike model for targeting advertisements to the web client based on the spend data file and clickstream data associated with the web client. In various embodiments, the third party system may match the third party cookie ID with the first party cookie ID in the spend data file, which may associate a customer with a segment.

Abstract: 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.

Abstract: 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.

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: 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.