Response attribution valuation

• US 8,738,440 B2
• Filed: 06/14/2010
• Issued: 05/27/2014
• Est. Priority Date: 06/14/2010
• Status: Active Grant

• Current Assignee: HCL Technologies Limited
• Original Assignee: International Business Machines Corporation
• Inventors: Crites, Robert, Kennedy, Ruby
• Primary Examiner(s): Weiss, John G
• Assistant Examiner(s): PATEL, DIPEN M
• Application Number:
  US12/814,769
• Publication Number:
  US 20110307328A1
• Time in Patent Office: 1,443 Days
• Field of Search: 705/14.52, 705/14.45
• US Class Current: 705/14.52
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0246 Traffic

Abstract

A computer-implemented method is described for determining a response attribution value that represents a credit assignment to a communication, for an associated response received from a recipient during a marketing campaign.

Claims

1. A computer program product embodied on a computer readable storage medium, the computer program product comprising instructions for causing a computer to:

retrieve a value for a response rate parameter associated with a communication and a power law parameter that corresponds to a time delay distribution associated with receiving a response from a recipient;

generate a response attribution value according to the retrieved value for the response rate parameter and the retrieved value for the power law parameter;

calculate a subsequent value for the response rate parameter; and

calculate a subsequent value for the power law parameter by applying the generated response attribution value and the time delay distribution to a weighted regression model.

2. The computer program product of claim 1, further comprising instructions to:

retrieve the subsequent values for the response rate parameter and the power law parameter; and

generate a subsequent response attribution value according to the retrieved subsequent value for the response rate parameter and the retrieved subsequent value for the power law parameter.

3. The computer program product of claim 1, further comprising instructions to:

iteratively, retrieve the subsequent values for the response rate parameter and the power law parameter and generate the subsequent response attribution value according to the retrieved subsequent value of the response rate parameter and the retrieved subsequent value of the power law parameter value.

4. The computer program product of claim 1, further comprising instructions to:

terminate generation of the response attribution value when the calculated values of the response rate and power law parameters converge.

5. The computer program product of claim 1 further comprising instructions to:

terminate generation of the response attribution value when a threshold number of iterations of generating have occurred.

6. The computer program product of claim 1 further comprising instructions to:

terminate generation of the response attribution value when a threshold amount of computing resources have been expended.

7. The computer program product of claim 1 wherein the retrieved values for the response rate and power law parameters are arbitrarily provided values.

8. The computer program product of claim 1 further comprising instructions to:

output an identifier corresponding to the communication and associated response, and the determined response attribution value.

9. The computer program product of claim 1 wherein the regression model is a linear weighted regression model.

10. An apparatus comprising:

a processor; and

a computer program product embodied on a computer readable storage medium, the computer program product comprising instructions for causing the processor to;

retrieve a value for a response rate parameter associated with a communication and a power law parameter that corresponds to a time delay distribution associated with receiving a response from a recipient;

generate a response attribution value according to the retrieved value for the response rate parameter and the retrieved value for the power law parameter;

calculate a subsequent value for the response rate parameter; and

calculate a subsequent value for the power law parameter by applying the generated response attribution value and the time delay distribution to a weighted regression model.

11. The apparatus of claim 10, wherein the computer program product further comprises instructions to:

retrieve the subsequent values for the response rate parameter and the power law parameter; and

generate a subsequent response attribution value according to the retrieved subsequent value for the response rate parameter and the retrieved subsequent value for the power law parameter.

12. The apparatus of claim 10, wherein the computer program product further comprises instructions to iteratively, retrieve the subsequent values for the response rate parameter and the power law parameter and generate the subsequent response attribution value according to the retrieved subsequent value of the response rate parameter and the retrieved subsequent value of the power law parameter value.

13. The apparatus of claim 10, wherein the computer program product further comprises instructions to terminate generation of the response attribution value when the calculated values of the response rate and power law parameters converge.

14. The apparatus of claim 10, wherein the computer program product further comprises instructions to terminate generation of the response attribution value when a threshold number of iterations of generating have occurred.

15. The apparatus of claim 10, wherein the computer program product further comprises instructions to terminate generation of the response attribution value when a threshold amount of computing resources have been expended.

16. The apparatus of claim 10 wherein the retrieved values for the response rate and power law parameters are arbitrarily provided values.

17. The apparatus of claim 10, wherein the computer program product further comprises instructions to output an identifier corresponding to the communication and associated response, and the determined response attribution value.

18. The apparatus of claim 10 wherein the regression model is a linear weighted regression model.