On-Site and In-Store Content Personalization and Optimization
First Claim
1. A computer-implemented method comprising:
- receiving, using one or more computing devices, first-party data and third-party data;
generating, using the one or more computing devices, a customer profile for the customer of a merchant based on the first-party data and the third-party data, the customer profile having a set of attributes;
generating, using the one or more computing devices, a set of rules for evaluating a disposition of the customer based on the set of attributes of the customer profile;
receiving, using the one or more computing devices, real-time intelligence data associated with the customer during a visit to the merchant or an interaction with marketing content of the merchant; and
predicting, using the one or more computing devices, a disposition of the customer using the real-time intelligence data and one or more of the rules; and
adapting, using the one or more computing devices, a shopping experience of the customer during the visit to the merchant or a marketing content of the merchant for the customer using the predicted disposition.
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Accused Products
Abstract
In an example implementation, a method receives first-party data and third-party data and generates a customer profile for the customer of a merchant based on the first-party data and the third-party data. The customer profile has a set of attributes. The method further generates a set of rules for evaluating a disposition of the customer based on the set of attributes of the customer profile, receives real-time intelligence data associated with the customer during a visit to the merchant or an interaction with marketing content of the merchant, predicts the disposition of the customer using the real-time intelligence data and one or more of the rules, and adapts a shopping experience of the customer during the visit to the merchant or a marketing content of the merchant for the customer using the predicted disposition.
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Citations
24 Claims
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1. A computer-implemented method comprising:
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receiving, using one or more computing devices, first-party data and third-party data; generating, using the one or more computing devices, a customer profile for the customer of a merchant based on the first-party data and the third-party data, the customer profile having a set of attributes; generating, using the one or more computing devices, a set of rules for evaluating a disposition of the customer based on the set of attributes of the customer profile; receiving, using the one or more computing devices, real-time intelligence data associated with the customer during a visit to the merchant or an interaction with marketing content of the merchant; and predicting, using the one or more computing devices, a disposition of the customer using the real-time intelligence data and one or more of the rules; and adapting, using the one or more computing devices, a shopping experience of the customer during the visit to the merchant or a marketing content of the merchant for the customer using the predicted disposition. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computer program product comprising a non-transitory computer-usable medium including instructions which, when executed by a computer, cause the computer to:
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receive first-party data and third-party data; generate a customer profile for the customer of a merchant based on the first-party data and the third-party data, the customer profile having a set of attributes; generate a set of rules for evaluating a disposition of the customer based on the set of attributes of the customer profile; receive real-time intelligence data associated with the customer during a visit to the merchant or an interaction with marketing content of the merchant; and predict a disposition of the customer using the real-time intelligence data and one or more of the rules; and adapt a shopping experience of the customer during the visit to the merchant or a marketing content of the merchant for the customer using the predicted disposition. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A system comprising:
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one or more processors, the processors being configured to; receive first-party data and third-party data; generate a customer profile for the customer of a merchant based on the first-party data and the third-party data, the customer profile having a set of attributes; generate a set of rules for evaluating a disposition of the customer based on the set of attributes of the customer profile; receive real-time intelligence data associated with the customer during a visit to the merchant or an interaction with marketing content of the merchant; and predict a disposition of the customer using the real-time intelligence data and one or more of the rules; and adapt a shopping experience of the customer during the visit to the merchant or a marketing content of the merchant for the customer using the predicted disposition. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24)
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Specification