Generating customized marketing messages for a customer using dynamic customer behavior data

• US 8,812,355 B2
• Filed: 06/29/2007
• Issued: 08/19/2014
• Est. Priority Date: 04/03/2007
• Status: Active Grant

• Current Assignee: Globalfoundries US Incorporated (GlobalFoundries, Inc.)
• Original Assignee: International Business Machines Corporation
• Inventors: Angell, Robert Lee, Kraemer, James R.
• Primary Examiner(s): Brown, Alvin L
• Application Number:
  US11/771,252
• Publication Number:
  US 20080249859A1
• Time in Patent Office: 2,608 Days
• Field of Search: 705/14
• US Class Current: 705/14
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0239 Online discounts or incentives
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

Customizing digital media marketing messages using customer behavior data is provided. In one embodiment, patterns of events in customer event data are identified to form customer behavior data. The customer event data comprises metadata describing a customer associated with a retail facility. The customer behavior data is processed to form dynamic data. A customized marketing message is generated for the customer using the dynamic data.

Claims

1. A computer implemented method in a data processing system for customizing digital media marketing messages using customer behavior data, the computer implemented method comprising:

identifying, by the data processing system, a pattern within a plurality of current actions taken by a customer while shopping in a retail facility that indicate a shopping preference of the customer to form an identified pattern;

processing, by the data processing system, the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility that indicate the shopping preference of the customer;

dynamically assembling, by the data processing system, a single customized marketing message for the customer by combining two or more modular marketing messages together based on the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility that indicate the shopping preference of the customer; and

transmitting, by the data processing system, the single customized marketing message for the customer to a mobile display device carried by the customer for display to the customer in real-time as the customer is present at the retail facility, wherein the mobile display device carried by the customer includes a printer that prints the single customized marketing message.

2. The computer implemented method of claim 1 further comprising:

receiving video data from a set of non-stationary cameras associated with the retail facility that move and rotate along a set of directions to keep the customer within viewing range to form received video data; and

analyzing the received video data to form customer event data, wherein analyzing the received video data comprises generating metadata describing the customer associated with the retail facility, and wherein the metadata is indexed into tables that permit content-based searches through standard query language queries.

3. The computer implemented method of claim 2 wherein the metadata describing the customer associated with the retail facility is metadata describing the plurality of current actions taken by the customer while shopping in the retail facility that indicate the shopping preference of the customer.

4. The computer implemented method of claim 2 wherein the metadata describing the customer associated with the retail facility is metadata describing clothing and accessories worn by the customer in the retail facility.

5. The computer implemented method of claim 1 further comprising:

receiving detection data from a set of detectors located inside the retail facility to form received detection data;

analyzing the received detection data to form internal data; and

processing the internal data with customer behavior data to form dynamic data.

6. The computer implemented method of claim 2 wherein analyzing the received video data further comprising:

receiving detection data from a set of detectors located outside the retail facility to form received detection data;

analyzing the received detection data to form external data; and

processing the external data with customer behavior data to form dynamic data.

7. The computer implemented method of claim 2 wherein analyzing the received video data further comprising:

analyzing the received video data with detection data gathered by a set of detectors associated with the retail facility, wherein the set of detectors comprises a device for detecting odors.

8. The computer implemented method of claim 1 further comprising:

processing the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility that indicate the shopping preference of the customer using a psychological model.

9. The computer implemented method of claim 1 further comprising:

responsive to a determination that the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility indicates the shopping preference of the customer, identifying items offered for sale by the retail facility associated with the shopping preference to form identified items; and

generating a marketing message that includes an offer for a set of items in the identified items to form a customized marketing message for the customer.

10. The computer implemented method of claim 9 wherein the shopping preference indicated by the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility is a preference for high quality items.

11. The computer implemented method of claim 1 further comprising:

processing the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility that indicate the shopping preference of the customer with a customer profile for the customer associated with the retail facility to form dynamic data.

12. The computer implemented method of claim 1 further comprising:

analyzing dynamic data using a set of data models to identify a set of personalized marketing message criteria; and

selecting the two or more modular marketing messages using the set of personalized marketing message criteria.

13. A computer program product comprising:

a non-transitory computer usable storage device including computer usable program code for customizing digital media marketing messages using customer behavior data, said computer program product comprising;

computer usable program code for identifying a pattern within a plurality of current actions taken by a customer while shopping in a retail facility that indicate a shopping preference of the customer to form an identified pattern;

computer usable program code for processing the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility that indicate the shopping preference of the customer;

computer usable program code for dynamically assembling a single customized marketing message for the customer by combining two or more modular marketing messages together based on the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility that indicate the shopping preference of the customer; and

computer usable program code for transmitting the single customized marketing message for the customer to a mobile display device carried by the customer for display to the customer in real-time as the customer is present at the retail facility, wherein the mobile display device carried by the customer includes a printer that prints the single customized marketing message.

14. The computer program product of claim 13 further comprising:

computer usable program code for receiving video data from a set of non-stationary cameras associated with the retail facility that move and rotate along a set of directions to keep the customer within viewing range; and

computer usable program code for analyzing the video data to form customer event data, wherein analyzing the video data comprises generating metadata describing the customer associated with the retail facility, and wherein the metadata is indexed into tables that permit content-based searches through standard query language queries.

15. The computer program product of claim 14 wherein the metadata describing the customer associated with the retail facility comprises metadata describing the plurality of current actions taken by the customer while shopping in the retail facility that indicate the shopping preference of the customer.

16. The computer program product of claim 14 wherein the metadata describing the customer associated with the retail facility comprises metadata describing the customer associated with the retail facility is metadata describing clothing and accessories worn by the customer in the retail facility.

17. The computer program product of claim 13 further comprising:

computer usable program code for receiving detection data from a set of detectors located inside the retail facility;

computer usable program code for analyzing the detection data to form internal data; and

computer usable program code for processing the internal data with customer behavior data to form dynamic data.

18. The computer program product of claim 13 further comprising:

computer usable program code for receiving detection data from a set of detectors located outside the retail facility;

computer usable program code for analyzing the detection data to form external data; and

computer usable program code for processing the external data with customer behavior data to form dynamic data.

19. The computer program product of claim 13 further comprising:

computer usable program code for identifying items offered for sale by the retail facility associated with the shopping preference of the customer to form identified items in response to a determination that the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility indicates the shopping preference of the customer; and

computer usable program code for generating a marketing message that comprises an offer for a set of items in the identified items to form the customized marketing message for the customer.

20. The computer program product of claim 19 wherein the shopping preference indicated by the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility is a preference for high quality items.

21. The computer program product of claim 13 further comprising:

computer usable program code for processing the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility that indicate the shopping preference of the customer with a customer profile for the customer associated with the retail facility to form dynamic data.

22. A data processing system for customizing digital media marketing messages using customer behavior data, the data processing system comprising:

a bus system;

a communications system coupled to the bus system;

a memory connected to the bus system, wherein the memory comprises computer usable program code; and

a processing unit coupled to the bus system, wherein the processing unit executes the computer usable program code to identify a pattern within a plurality of current actions taken by a customer while shopping in a retail facility that indicate a shopping preference of the customer to form an identified pattern;

process the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility that indicate the shopping preference of the customer;

dynamically assemble a single customized marketing message for the customer by combining two or more modular marketing messages together based on the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility that indicate the shopping preference of the customer; and

transmit the single customized marketing message for the customer to a mobile display device carried by the customer for display to the customer in real-time as the customer is present at the retail facility, wherein the mobile display device carried by the customer includes a printer that prints the single customized marketing message.

23. The data processing system of claim 22 wherein the processing unit further executes the computer usable program code to receive video data from a set of non-stationary cameras associated with the retail facility that move and rotate along a set of directions to keep the customer within viewing range;

and analyze the video data to form customer event data, wherein analyzing the video data comprises generating metadata describing the customer associated with the retail facility, and wherein the metadata is indexed into tables that permit content-based searches through standard query language queries.

24. The data processing system of claim 23 wherein the metadata describing the customer associated with the retail facility is metadata describing the plurality of current actions taken by the customer while shopping in the retail facility that indicate the shopping preference of the customer.

25. The data processing system of claim 23 wherein the metadata describing the customer associated with the retail facility is metadata describing clothing and accessories worn by the customer in the retail facility.

26. The data processing system of claim 22 wherein the processing further executes the computer usable program code to identify items offered for sale by the retail facility associated with the shopping preference of the customer to form identified items in response to a determination that the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility indicates the shopping preference;

and generate a marketing message that includes an offer for a set of items in the identified items to form the customized marketing message for the customer, wherein the set of items are items associated with the shopping preference.

27. The data processing system of claim 26 wherein the shopping preference indicated by the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility is a preference for high quality items.

28. The data processing system of claim 22 wherein the processing unit further executes the computer usable program code to receive detection data from a set of detectors located inside the retail facility;

analyze the detection data to form internal data; and

process the internal data with customer behavior data to form dynamic data.

29. The data processing system of claim 22 wherein the processing unit further executes the computer usable program code to receive detection data from a set of detectors located outside the retail facility;

analyze the detection data to form external data; and

process the external data with customer behavior data to form dynamic data.

30. A method for customizing digital media marketing messages using customer behavior data, the method comprising:

receiving, by a data processing system, detection data from a set of detectors located outside a retail facility to form received detection data, wherein the set of detectors includes a device for detecting odors;

analyzing, by the data processing system, the received detection data to form external data;

processing, by the data processing system, the external data with customer behavior data to form dynamic data;

receiving, by the data processing system, video data from a set of non-stationary cameras associated with the retail facility that move and rotate along a set of directions to keep a customer within viewing range to form received video data;

analyzing the received video data to form customer event data, wherein analyzing the received video data comprises generating metadata describing the customer associated with the retail facility, and wherein the metadata describing the customer associated with the retail facility is metadata describing a plurality of current actions taken by the customer while shopping in the retail facility that indicate a shopping preference of the customer, and wherein the metadata is indexed into tables that permit content-based searches through standard query language queries;

identifying, by the data processing system, a pattern within the plurality of current actions taken by the customer while shopping in the retail facility that indicate the shopping preference of the customer to form an identified pattern, wherein the shopping preference indicated by the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility is a preference for high quality items;

processing, by the data processing system, the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility that indicate the shopping preference of the customer using a psychological model;

dynamically assembling, by the data processing system, a single customized marketing message for the customer by combining two or more modular marketing messages together based on the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility that indicate the shopping preference of the customer; and

transmitting, by the data processing system, the single customized marketing message for the customer to a mobile display device carried by the customer for display to the customer in real-time as the customer is present at the retail facility, wherein the mobile display device carried by the customer includes a printer that prints the single customized marketing message.

31. The method of claim 30, wherein the mobile display device is a smart watch.

32. The method of claim 30, wherein the metadata describing the customer associated with the retail facility is metadata describing clothing and accessories worn by the customer in the retail facility.

33. The method of claim 30, further comprising:

responsive to the data processing system determining that the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility indicates the shopping preference of the customer, identifying, by the data processing system, items offered for sale by the retail facility associated with the shopping preference to form identified items; and

generating, by the data processing system, a marketing message that includes an offer for a set of items in the identified items to form a customized marketing message for the customer.

34. The method of claim 30, further comprising:

processing, by the data processing system, the identified pattern within the plurality of current actions taken by the customer while shopping in the retail facility that indicate the shopping preference of the customer with a customer profile corresponding to the customer associated with the retail facility.