Preferred customer marketing delivery based on biometric data for a customer

• US 9,361,623 B2
• Filed: 09/27/2007
• Issued: 06/07/2016
• Est. Priority Date: 04/03/2007
• Status: Active Grant

• Current Assignee: Daedalus Blue LLC
• Original Assignee: International Business Machines Corporation
• Inventors: Angell, Robert Lee, Kraemer, James R.
• Primary Examiner(s): Brown, Alvin L
• Application Number:
  US11/862,299
• Publication Number:
  US 20080249838A1
• Time in Patent Office: 3,176 Days
• Field of Search: 705/14
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0204 Market segmentation

Abstract

A computer implemented method, apparatus, and computer usable program product for automatically determining a marketing status for a customer. Biometric readings for the customer are received from a set of biometric devices associated with a retail facility to form biometric data describing a set of physiological responses of the customer. The biometric data is analyzed to identify a set of marketing initiation factors that indicate a degree of receptivity of the customer to marketing messages. In response to the set of marketing initiation factors indicating initiation of marketing to the customer, a customized marketing message is generated for the customer. The customized marketing message is transmitted to a display device for display to the customer in real-time as the customer is shopping.

Claims

1. A computer implemented method for automatically determining a marketing status for a customer, the computer implemented method comprising:

receiving biometric readings for the customer from a set of biometric devices associated with a retail facility to form biometric data, wherein the biometric data is data describing a set of physiological responses of the customer, and wherein the biometric data is gathered in real-time as the customer is shopping at the retail facility, and wherein the set of physiological responses of the customer includes a physiological response to viewing an item for sale in the retail facility;

analyzing, by a processor, the biometric data to identify a set of marketing initiation factors, wherein the marketing initiation factors indicate a degree of receptivity of the customer to marketing messages;

responsive to the set of marketing initiation factors indicating the customer is unreceptive to marketing messages, setting the marketing status for the customer to a negative market status, wherein a negative marketing status indicates that customized marketing messages are not generated or transmitted to any display devices for display to the customer; and

responsive to the set of marketing initiation factors indicating initiation of marketing to the customer, generating a customized marketing message for the customer.

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

automatically setting a marketing status flag in a customer profile to a positive marketing status based on the marketing initiation factors, wherein the marketing status flag indicates whether customized marketing messages are delivered to the customer, wherein customized marketing messages are displayed to the customer in response to setting the marketing status flag to a positive market status.

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

automatically setting a marketing status flag in a customer profile to a negative marketing status based on the marketing initiation factors, wherein the marketing status flag indicates whether customized marketing messages are delivered to the customer, wherein customized marketing messages are not transmitted to any display devices associated with the customer and marketing messages are not displayed to the customer in response to setting the marketing status flag to a negative market status.

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

combining the biometric data with dynamic data associated with the customer and analyzing the biometric data and the dynamic data in a set of data models to identify a set of marketing initiation factors.

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

retrieving a customer profile for the customer, wherein the customer profile indicates customary days of the week the customer has shopped in the past;

responsive to determining that a current day of the week is a customary day of the week in the customary days of the week the customer has shopped in the past, generating positive marketing initiation factors; and

responsive to determining that the current day of the week is not a customary day of the week in the customary days of the week the customer has shopped in the past, generating negative marketing initiation factors.

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

retrieving a customer profile for the customer, wherein the customer profile includes customary times of day when the customer has shopped at the retail facility;

responsive to determining that a current time falls within a range of the customary times of day, generating positive marketing initiation factors; and

responsive to determining that the current time falls outside of a range of the customary times of day, generating negative marketing initiation factors.

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

receiving data associated with the customer from a set of detectors associated with the retail facility to form detection data for the customer, wherein the set of detectors includes at least one detector located outside of the retail facility and at least one detector located inside of the retail facility;

processing the detection data with the biometric data to form dynamic data;

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

generating the customized marketing message for the customer using the personalized marketing message criteria.

8. The computer implemented method of claim 7 further comprising:

processing the detection data, by a smart detection engine, to identify patterns of events to form current customer behavior data, wherein the current customer behavior data comprises metadata describing an appearance of the customer and a behavior of the customer;

retrieving a customer profile for the customer, wherein the customer profile indicates past behavior of the customer while shopping at the retail facility on a previous shopping trip to form past customer behavior data;

comparing the current customer behavior data to the past customer behavior data;

responsive to the comparison indicating the customer is walking at a customary pace or shopping at a customary rate, generating positive marketing initiation factors; and

responsive to the comparison indicating the customer is walking at a pace that is faster than the customary pace or shopping at a rate that is faster than the customary rate of shopping, generating negative marketing initiation factors.

9. The computer implemented method of claim 1 wherein the customer is a customer in a group of customers and further comprising:

receiving data associated with the group of customers from detectors associated with the retail facility to form detection data;

processing the detection data for the group of customers to form current grouping data for the customer, wherein the grouping data identifies a grouping category for the customer, and wherein the grouping category is selected from a group consisting of parents with children, teenagers, children, minors unaccompanied by adults, minors accompanied by adults, grandparents with grandchildren, senior citizens, couples, friends, coworkers, a customer shopping with a pet, and a customer shopping alone;

responsive to a current grouping category for the customer failing to match a common past grouping category for the customer, generating negative marketing initiation factors;

responsive to the current grouping category for the customer matching a common past grouping category and the biometric data indicating the customer is receptive to marketing information, generating positive marketing initiation factors; and

responsive to the current grouping category for the customer matching a common past grouping category and the biometric data indicating the customer is not receptive to marketing information, generating negative marketing initiation factors.

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

receiving external marketing data from a set of sources to form current events data;

processing the current events data with the biometric data to form dynamic data; and

responsive to the biometric data indicating the customer is receptive to information associated with a set of current events in the current events data, generating positive marketing initiation factors; and

responsive to the biometric data indicating the customer is not receptive to the information associated with the set of current events in the current events data, generating negative marketing initiation factors.

11. The computer implemented method of claim 1 wherein biometric data is data describing at least one of a status state of the customer and the set of physiological responses of the customer.

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

detecting a change in a biometric reading associated with the customer that exceeds a threshold change; and

responsive to a determination that the customer was viewing a customized marketing message when the change in the biometric reading occurred, associating the change in the biometric reading with the customized marketing message to form the biometric data, wherein the change in the biometric reading is analyzed to determine whether the customer is responding to elements in the customized marketing message.

13. The computer implemented method of claim 1 wherein the biometric readings further comprises a measurement of a vital statistics of the customer over a given period of time, wherein the vital statistics of the customer include at least one of a measurement of a heart rate of the customer, a respiratory rate of the customer, a blood pressure of the customer, a change in voice stress for the voice of the customer, and a change in a dilation of a pupil of the customer.

14. A computer program product comprising:

a computer usable storage device including computer usable program code for automatically determining a marketing status for a customer, said computer program product comprising;

computer usable program code for receiving biometric readings for the customer from a set of biometric devices associated with a retail facility to form biometric data, wherein the biometric data is data describing a set of physiological responses of the customer, and wherein the biometric data is gathered in real-time as the customer is shopping at the retail facility, and wherein the set of physiological responses of the customer includes a physiological response to viewing an item for sale in the retail facility;

computer usable program code for analyzing the biometric data to identify a set of marketing initiation factors, wherein the marketing initiation factors indicate a degree of receptivity of the customer to marketing messages;

computer usable program code for setting the marketing status for the customer to a negative market status in response to the set of marketing initiation factors indicating the customer is unreceptive to marketing messages, wherein a negative marketing status indicates that customized marketing messages are not generated or transmitted to any display devices for display to the customer; and

computer usable program code for generating a customized marketing message for the customer in response to the set of marketing initiation factors indicating initiation of marketing to the customer.

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

computer usable program code for automatically setting a marketing status flag in a customer profile to a positive marketing status based on the marketing initiation factors, wherein the marketing status flag indicates whether customized marketing messages are delivered to the customer, wherein customized marketing messages are displayed to the customer in response to setting the marketing status flag to a positive market status.

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

computer usable program code for automatically setting a marketing status flag in a customer profile to a negative marketing status based on the marketing initiation factors, wherein the marketing status flag indicates whether customized marketing messages are delivered to the customer, wherein customized marketing messages are not transmitted to any display devices associated with the customer and marketing messages are not displayed to the customer in response to setting the marketing status flag to a negative market status.

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

computer usable program code for retrieving a customer profile for the customer, wherein the customer profile indicates customary days of the week the customer has shopped in the past;

computer usable program code for generating positive marketing initiation factors in response to determining that a current day of the week is a customary day of the week in the customary days of the week the customer has shopped in the past; and

computer usable program code for generating negative marketing initiation factors in response to determining that the current day of the week is not a customary day of the week in the customary days of the week the customer has shopped in the past.

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

computer usable program code for retrieving a customer profile for the customer, wherein the customer profile includes customary times of day when the customer has shopped at the retail facility;

computer usable program code for generating positive marketing initiation factors in response to determining that a current time falls within a range of the customary times of day; and

computer usable program code for generating negative marketing initiation factors in response to determining that the current time falls outside of a range of the customary times of day.

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

computer usable program code for processing detection data associated with the customer, by a smart detection engine, to identify patterns of events to form current customer behavior data, wherein the current customer behavior data comprises metadata describing an appearance of the customer and a behavior of the customer;

computer usable program code for retrieving a customer profile for the customer, wherein the customer profile indicates past behavior of the customer while shopping at the retail facility on a previous shopping trip to form past customer behavior data;

computer usable program code for computer usable program code for comparing the current customer behavior data to the past customer behavior data;

computer usable program code for generating positive marketing initiation factors in response to the comparison indicating the customer is walking at a customary pace or shopping at a customary rate; and

computer usable program code for generating negative marketing initiation factors for the customer in response to the comparison indicating the customer is walking at a pace that is faster than the customary pace or shopping at a rate that is faster than the customary rate of shopping.

20. The computer program product of claim 14 wherein the customer is a customer in a group of customers and further comprising:

computer usable program code for receiving data associated with the group of customers from detectors associated with the retail facility to form detection data;

computer usable program code for processing the detection data for the group of customers to form current grouping data for the customer, wherein the grouping data identifies a grouping category for the customer, and wherein the grouping category is selected from a group consisting of parents with children, teenagers, children, minors unaccompanied by adults, minors accompanied by adults, grandparents with grandchildren, senior citizens, couples, friends, coworkers, a customer shopping with a pet, and a customer shopping alone;

computer usable program code for generating negative marketing initiation factors for the customer in response to a current grouping category for the customer failing to match a common past grouping category for the customer;

computer usable program code for generating positive marketing initiation factors in response to the current grouping category for the customer matching a common past grouping category and the biometric data indicating the customer is receptive to marketing information; and

computer usable program code for generating negative marketing initiation factors in response to the current grouping category for the customer matching a common past grouping category and the biometric data indicating the customer is not receptive to marketing information.

21. A data processing system for automatically determining a marketing status for a customer, the data processing system comprising:

a bus system;

a communications system connected to the bus system;

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

a processing unit connected to the bus system, wherein the processing unit executes the computer usable program code to receive biometric readings for the customer from a set of biometric devices associated with a retail facility to form biometric data, wherein the biometric data is data describing a set of physiological responses of the customer, and wherein the biometric data is gathered in real-time as the customer is shopping at the retail facility, and wherein the set of physiological responses of the customer includes a physiological response to viewing an item for sale in the retail facility;

process the biometric data to form dynamic data for the customer;

analyzing the dynamic data to identify a set of marketing initiation factors, wherein the marketing initiation factors indicate a degree of receptivity of the customer to marketing messages;

set the marketing status for the customer to a negative market status in response to the set of marketing initiation factors indicating the customer is unreceptive to marketing messages, wherein a negative marketing status indicates that customized marketing messages are not generated or transmitted to any display devices for display to the customer; and

generate a customized marketing message for the customer in response to the set of marketing initiation factors indicating initiation of marketing to the customer.

22. The data processing system of claim 21 wherein the processing unit further executes the computer usable program code to automatically set a marketing status flag in a customer profile to a positive marketing status based on the marketing initiation factors, wherein the marketing status flag indicates whether customized marketing messages are delivered to the customer, wherein customized marketing messages are displayed to the customer in response to setting the marketing status flag to a positive market status.

23. The data processing system of claim 21 wherein the processing unit further executes the computer usable program code to automatically set a marketing status flag in a customer profile to a negative marketing status based on the marketing initiation factors, wherein the marketing status flag indicates whether customized marketing messages are delivered to the customer, wherein customized marketing messages are not transmitted to any display devices associated with the customer and marketing messages are not displayed to the customer in response to setting the marketing status flag to a negative market status.

24. A data processing system for automatically determining a marketing status for a customer, the data processing system comprising:

a set of biometric detectors associated with a retail facility, wherein the biometric detectors capture biometric readings for the customer to form biometric data, wherein the biometric data is data describing a set of physiological responses of the customer, and wherein the biometric data is gathered in real-time as the customer is shopping at the retail facility, and wherein the set of physiological responses of the customer includes a physiological response to viewing an item for sale in the retail facility;

an analysis server, wherein the analysis server processes the biometric data to form dynamic data for the customer; and

a marketing initiation engine, wherein the marketing initiation engine analyzes the dynamic data to identify a set of marketing initiation factors and set a marketing status for the customer to a negative market status in response to the set of marketing initiation factors indicating the customer is unreceptive to marketing messages, wherein customized marketing messages are not generated or transmitted to any display devices associated with the customer.

25. The system of claim 24 further comprising:

a marketing status flag in a customer profile, wherein a positive marketing status of the marketing status flag indicates customized marketing messages are delivered to the customer, and wherein a negative marketing status indicates customized marketing messages are not displayed to the customer, and wherein the marketing status is set based on the marketing initiation factors.