Audience Segment Selection
A user interface for selecting an audience segment from a pool of tracked entities based on an aggregate similarity of the audience segment to an archetypical audience. A graphical representation illustrating a relationship between a composite index for the audience segment and an audience segment size are displayed to the user. User input indicating the archetypical audience and the audience segment is received by a system and the audience segment is assembled. The composite index and the audience segment size associated with the audience segment, are determined and displayed.
1. A computer-implemented method of selecting an audience segment from a pool of tracked entities based on the similarity of the tracked entities to an archetypical audience, the computer-implemented method comprising:
receiving user input indicating the archetypical audience;
determining a score for each of a multiplicity of tracked entities, wherein each score comprises an indication of the similarity of the respective tracked entity to the archetypical audience;
displaying on a device a graphical representation illustrating a distribution of the multiplicity of tracked entities by score;
receiving a second user input indicating an audience segment via a manipulation of the graphical representation;
determining an estimated cost of exposing the audience segment to advertising; and
displaying the value for the estimated cost and the audience segment size in association with the graphical representation.
2. The method of claim 1 wherein:
receiving a second user input comprises receiving an audience segment size.
3. The method of claim 1 further comprising:
selecting the archetypical audience from the pool of tracked entities based on the user input.
4. The method of claim 1 wherein:
the archetypical audience is selected from the group including a website audience and a group of entities which have completed a specific online purchase.
5. 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 estimated cost for the adjusted audience segment, based at least in part on the adjustment user input; and
displaying the value for the estimated cost and the audience segment size in association with the graphical representation, for the adjusted audience segment.
6. 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 value for the estimated cost and the audience segment size for the adjusted audience segment, based at least in part on the adjustment user input; and
displaying the value for the estimated cost and the audience segment size in association with the graphical representation, for the adjusted audience segment.
7. 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 value for the estimated cost and the audience segment size for the adjusted audience segment, based at least in part on the pool constraint input; and
displaying the value for the estimated cost and the audience segment size in association with the graphical representation, for the adjusted audience segment.
8. 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.
9. The method of claim 1 wherein the graphical representation illustrating a distribution of the multiplicity of tracked entities by score illustrates a cumulative count of tracked entities as a function of tracked entity score.
10. 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 the similarity of the tracked entities to an archetypical audience, the instructions comprising instructions for:
receiving user input indicating the archetypical audience;
determining a score for each of a multiplicity of tracked entities, wherein each score comprises an indication of the similarity of the respective tracked entity to the archetypical audience;
displaying on a device a graphical representation illustrating a distribution of the multiplicity of tracked entities by score;
receiving a second user input indicating an audience segment via a manipulation of the graphical representation;
determining an estimated cost of exposing the audience segment to advertising; and
displaying the value for the estimated cost and the audience segment size in association with the graphical representation.
11. The system of claim 10 wherein:
the archetypical audience is selected from the group including a website audience and a group of entities which have completed a specific online purchase.
12. The system of claim 10 wherein the instructions for receiving a second user input comprise receiving an audience segment size.
13. The system of claim 10 wherein:
receiving an adjustment user input indicating an adjusted audience segment via a manipulation of the graphical representation;
determining the value for the estimated cost for the adjusted audience segment, based at least in part on the adjustment user input; and
displaying the value for the estimated cost and the audience segment size in association with the graphical representation, for the adjusted audience segment.
14. The system of claim 10 wherein:
the audience segment comprises the audience segment predicted to be available for delivery of networked advertisements during a time interval.
15. A non-transitory computer readable storage medium executing computer program instructions for selecting an audience segment from a pool of tracked entities based on the similarity of the tracked entities to an archetypical audience, the computer program instructions comprising instructions for:
receiving user input indicating the archetypical audience;
determining a score for each of a multiplicity of tracked entities, wherein each score comprises an indication of the similarity of the respective tracked entity to the archetypical audience;
displaying on a device a graphical representation illustrating a distribution of the multiplicity of tracked entities by score;
receiving a second user input indicating an audience segment via a manipulation of the graphical representation;
determining an estimated cost of exposing the audience segment to advertising; and
displaying the value for the estimated cost and the audience segment size in association with the graphical representation.
16. The non-transitory computer readable storage medium of claim 15 wherein the instructions receiving a second user input comprise receiving an audience segment size.
17. The non-transitory computer readable storage medium of claim 15 wherein:
the archetypical audience is selected from the group including a website audience and a group of entities which have completed a specific online purchase.
18. The non-transitory computer readable storage medium of claim 15 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 estimated cost for the adjusted audience segment, based at least in part on the adjustment user input; and
displaying the value for the estimated cost and the audience segment size in association with the graphical representation, for the adjusted audience segment.
19. The non-transitory computer readable storage medium of claim 15 wherein:
the audience segment comprises the audience segment predicted to be available for delivery of networked advertisements during a time interval.