Granted Patent B1

US 8,504,905 · App. 13/615,575 · Granted Aug 6, 2013

Inventors: Charles Walsh Sugnet (San Francisco, CA); Joseph Harlan Shoop, Sr. (Oakland, CA); Paul G Sutter (San Francisco, CA); Konrad S Feldman (New York, NY)

Assignee: Quantcast Corporation

Abstract

Claims (80)

1. A computer-implemented method of selecting an audience segment from a pool of tracked entities based on a composite index indicating an aggregate similarity of the audience segment to an archetypical audience, the computer-implemented method comprising:

receiving user input indicating the archetypical audience;

displaying on a device a graphical representation illustrating an inter-relationship between a value for a composite index and a value for an audience segment size;

receiving a second user input indicating a goal for a trade-off between the composite index and the audience segment size via a manipulation of the graphical representation;

assembling the audience segment, consistent with the goal for a trade-off, by selecting tracked entities from the pool of tracked entities;

determining the value for the composite index and the value for the audience segment size for the audience segment; and

displaying the value for the composite index and the value for the audience segment size, in association with the graphical representation illustrating the interrelationship between the value for the composite index and the value for the audience segment size.

2. The method of claim 1 wherein:

assembling comprises selecting the tracked entities based on similarity to the archetypical audience.

3. The method of claim 1 further comprising:

receiving an adjustment user input indicating an adjusted audience segment via a manipulation of the graphical representation;

determining the value for the composite index and the value for the audience segment size for the adjusted audience segment, based at least in part on the adjustment user input; and

displaying the values for the composite index and audience segment size associated with the adjusted audience segment.

4. The method of claim 1 wherein:

the graphical representation comprises a slider bar having a first end associated with the composite index and indicating a high similarity to the archetypical audience, a second end associated with the audience segment size indicating a large audience segment size, and a user-adjustable slider with the position of the user-adjustable slider between the first end and the second end indicating the goal.

5. The method of claim 1 wherein:

the composite index comprises a normalized composite index with the normalized composite index representing the aggregate similarity between the audience segment and the archetypical audience, normalized to a standard audience.

6. The method of claim 1 further comprising:

displaying on the device a selectable list of networked media content providers;

receiving a selection user input indicating the selection of one or more networked media content providers;

determining the value for the composite index and the value for the audience segment size for the adjusted audience segment, with the limitation that the audience segment must be selected from the audience comprising the selected networked media content providers; and

displaying the values for the composite index and the audience segment size for the adjusted audience segment.

7. The method of claim 6 further comprising:

displaying on the device, a table of data for characterizing the networked media content providers;

determining the changes to the table of data as a result of the selection of one or more networked media content providers; and

displaying the table of data with updated data including the changes.

8. The method of claim 1 further comprising:

displaying on the device, a graphical selectable action mechanism for initiating a commercial action associated with the audience segment;

receiving a selectable action input indicating the selection of the commercial action: and

initiating the commercial action, responsive to the selectable action user input.

9. The method of claim 1 further comprising:

displaying a graphical constraint selection mechanism for adjusting the audience segment by applying a constraint based on at least one attribute value to the audience segment;

receiving an audience segment constraint input indicating the selection of the constraint;

determining the values for the composite index and the audience segment size for the adjusted audience segment, based at least in part on the audience segment constraint input; and

displaying the values for the composite index and the audience segment size for the adjusted audience segment.

10. The method of claim 1 further comprising:

displaying a graphical constraint selection mechanism for adjusting the audience segment by applying a constraint based on at least one attribute value to the pool of tracked entities;

receiving a pool constraint input indicating the selection of the constraint; and,

determining the values for the composite index and the audience segment size for the adjusted audience segment, based at least in part on the pool constraint input; and

displaying the values for the composite index and the audience segment size for the adjusted audience segment.

11. The method of claim 1 wherein:

the audience segment comprises the audience segment predicted to be available for delivery of networked advertisements during a time interval.

12. A system, comprising:

a processor; and

a computer readable storage medium storing processor-executable computer program instructions for selecting an audience segment from a pool of tracked entities based on a composite index indicating an aggregate similarity of the audience segment to an archetypical audience, the instructions comprising instructions for:

receiving user input indicating the archetypical audience;

displaying on a device a graphical representation illustrating an interrelationship between a value for a composite index and a value for an audience segment size;

receiving a second user input indicating a goal for a trade-off between the composite index and the audience segment size via a manipulation of the graphical representation;

assembling the audience segment, consistent with the goal for a trade-off, by selecting tracked entities from the pool of tracked entities;

determining the value for the composite index and the value for the audience segment size for the audience segment; and

displaying the value for the composite index and the value for the audience segment size, in association with the graphical representation illustrating the interrelationship between the value for the composite index and the value for the audience segment size.

13. The system of claim 12 wherein:

assembling comprises selecting the tracked entities based on similarity to the archetypical audience.

14. The system of claim 12 wherein the instructions further comprise instructions for:

receiving an adjustment user input indicating an adjusted audience segment via a manipulation of the graphical representation;

determining the value for the composite index and the value for the audience segment size for the adjusted audience segment, based at least in part on the adjustment user input; and

displaying the values for the composite index and audience segment size associated with the adjusted audience segment.

15. The system of claim 12 wherein:

the graphical representation comprises a slider bar having a first end associated with the composite index and indicating a high similarity to the archetypical audience, a second end associated with the audience segment size indicating a large audience segment size, and a user-adjustable slider with the position of the user-adjustable slider between the first end and the second end indicating the goal.

16. The system of claim 12 wherein:

the composite index comprises a normalized composite index with the normalized composite index representing the aggregate similarity between the audience segment and the archetypical audience, normalized to a standard audience.

17. The system of claim 12 wherein the instructions further comprise instructions for:

displaying a graphical constraint selection mechanism for adjusting the audience segment by applying a constraint based on at least one attribute value to the audience segment;

receiving an audience segment constraint input indicating the selection of the constraint;

determining the values for the composite index and the audience segment size for the adjusted audience segment, based at least in part on the audience segment constraint input; and

displaying the values for the composite index and the audience segment size for the adjusted audience segment.

18. The system of claim 12 wherein the instructions further comprise instructions for:

displaying a graphical constraint selection mechanism for adjusting the audience segment by applying a constraint based on at least one attribute value to the pool of tracked entities;

receiving a pool constraint input indicating the selection of the constraint;

determining the values for the composite index and the audience segment size for the adjusted audience segment, based at least in part on the pool constraint input; and

displaying the values for the composite index and the audience segment size for the adjusted audience segment.

19. The method of claim 12 wherein:

the audience segment comprises the audience segment predicted to be available for delivery of networked advertisements during a time interval.

20. A non-transitory computer readable storage medium executing computer program instructions for selecting an audience segment from a pool of tracked entities based on a composite index indicating an aggregate similarity of the audience segment to an archetypical audience, the computer program instructions comprising instructions for:

receiving user input indicating the archetypical audience;

displaying on a device a graphical representation illustrating an interrelationship between a value for a composite index and a value for an audience segment size;

receiving a second user input indicating a goal for a trade-off between the composite index and the audience segment size via a manipulation of the graphical representation;

assembling the audience segment, consistent with the goal for a trade-off, by selecting tracked entities from the pool of tracked entities;

determining the value for the composite index and the value for the audience segment size for the audience segment; and

displaying the value for the composite index and the value for the audience segment size, in association with the graphical representation illustrating the interrelationship between the value for the composite index and the value for the audience segment size.

Assignments (8)

Continuity (1)