TRACKING AND MANAGING ADVERTISING CAMPAIGNS USING MIRRORED EXPERIMENTAL DESIGNS

1 . A method comprising:

selecting a local sub-population that is a part of a national population, wherein the local sub-population is selected so as to match the national population based on a fitness function that incorporates one or more measures comprising at least one of sales per capita, demographic composition, television penetration, satellite penetration or cable penetration;

during a national advertisement campaign for a product or service, introducing a local advertisement campaign for the product or service to a treatment group comprising the local sub-population, wherein the local advertisement campaign mirrors the national advertisement campaign;

measuring, by the computing device, sales of the product or service in a control group that is based on the national advertisement campaign;

measuring, by the computing device, sales of the product or service in the treatment group;

calculating, by the computing device, a difference in sales metrics between the treatment group and the control group; and

using the difference in the sales metrics to then estimate an effect on national sales metrics due to the national campaign.

2 . The method of claim 1 , wherein introducing the local advertisement campaign that mirrors the national advertisement campaign comprises approximately matching at least one of the degree-of-targetedness or the distribution of advertisements between the local sub-population and the national population.

3 . The method of claim 1 , further comprising:

selecting the treatment group, the treatment group having first group demographics that vary from national demographics by less than a threshold amount; and

selecting the control group, the control group having second group demographics that vary from the first group demographics by less than the threshold amount.

4 . The method of claim 1 , further comprising:

selecting the treatment group using a first fitness function that evaluates a suitability of a group for use as a treatment group based on at least one of advertising cost associated with the group, geographic distance of the group from other treatment groups, sales per capita for the group, difference between a national census demographic average and demographics of the group, or a degree of targetedness; and

selecting the control group using a second fitness function that evaluates a suitability of a group for use as a control group based on at least one of geographic distance of the group from the one or more treatment groups, demographic disparity between the group and the one or more control groups, or a cable penetration disparity between the group and the one or more treatment groups.

5 . The method of claim 1 , wherein determining the one or more sales metrics for the national advertisement campaign comprises:

computing a value that represents a sales activity per impression based on the difference; and

using the value to extrapolate sales activity per impression for the national campaign.

6 . The method of claim 1 , wherein the one or more sales metrics comprise at least one of sales attributable per advertisement, sales per impression, cost per acquisition, total sales, inventory, and cost per impression.

7 . The method of claim 1 , further comprising:

determining a level of advertising to use for the local advertisement campaign based on a standard deviation of advertising results for the treatment group, wherein the local advertisement campaign causes the first advertising results to have a statistically significant increase over the second advertising results.

8 . The method of claim 1 , further comprising:

automatically adjusting an advertising weight of the local advertisement campaign if the sales for the product or service in the treatment group do not vary from the sales for the product or service in the control group by a statistically significant amount.

9 . A computer readable storage medium having instructions that, when executed by a processing device, cause the processing device to perform operations comprising:

selecting a local sub-population that is a part of a national population, wherein the local sub-population is selected so as to match the national population based on a fitness function that incorporates one or more measures comprising at least one of sales per capita, demographic composition, television penetration, satellite penetration or cable penetration;

during a national advertisement campaign for a product or service, introducing a local advertisement campaign for the product or service to a treatment group comprising the local sub-population, wherein the local advertisement campaign mirrors the national advertisement campaign;

measuring, by the processing device, sales of the product or service in a control group that is based on the national advertisement campaign;

measuring, by the processing device, sales of the product or service in the treatment group;

calculating, by the processing device, a difference in sales metrics between the treatment group and the control group; and

using the difference in the sales metrics to then estimate an effect on national sales metrics due to the national campaign.

10 . The computer readable storage medium of claim 9 , wherein introducing the local advertisement campaign that mirrors the national advertisement campaign comprises approximately matching at least one of the degree-of-targetedness or the distribution of advertisements between the local sub-population and the national population.

11 . The computer readable storage medium of claim 9 , the operations further comprising:

selecting the treatment group, the treatment group having first group demographics that vary from national demographics by less than a threshold amount; and

selecting the control group, the control group having second group demographics that vary from the first group demographics by less than the threshold amount.

12 . The computer readable storage medium of claim 9 , the operations further comprising:

selecting the treatment group using a first fitness function that evaluates a suitability of a group for use as a treatment group based on at least one of advertising cost associated with the group, geographic distance of the group from other treatment groups, population of the group, sales per capita for the group, difference between a national census demographic average and demographics of the group, or a degree of targetedness; and

selecting the control group using a second fitness function that evaluates a suitability of a group for use as a control group based on at least one of geographic distance of the group from the one or more treatment groups, demographic disparity between the group and the one or more control groups, or a cable penetration disparity between the group and the one or more treatment groups.

13 . The computer readable storage medium of claim 9 , wherein determining the one or more sales metrics for the national advertisement campaign comprises:

computing a value that represents a sales activity per impression based on the difference; and

using the value to extrapolate sales activity per impression for the national campaign.

14 . The computer readable storage medium of claim 9 , wherein the one or more sales metrics comprise at least one of sales attributable per advertisement, sales per impression, cost per acquisition, total sales, inventory, and cost per impression.

15 . The computer readable storage medium of claim 9 , the operations further comprising:

determining a level of advertising to use for the local advertisement campaign based on a standard deviation of advertising results for the treatment group, wherein the local advertisement campaign causes the first advertising results to have a statistically significant increase over the second advertising results.

16 . The computer readable storage medium of claim 9 , the operations further comprising:

automatically adjusting an advertising weight of the local advertisement campaign if the sales for the product or service in the treatment group do not vary from the sales for the product or service in the control group by a statistically significant amount.

17 . A computing device comprising:

a memory to store instructions for managing an advertisement campaign for a product or service; and

a processing device coupled to the memory, to execute the instructions, wherein the processing device is configured to:

select a local sub-population that is a part of a national population, wherein the local sub-population is selected so as to match the national population based on a fitness function that incorporates one or more measures comprising at least one of sales per capita, demographic composition, television penetration, satellite penetration or cable penetration;

during the national advertisement campaign for the product or service, introduce a local advertisement campaign for the product or service to a treatment group comprising the local sub-population, wherein the local advertisement campaign mirrors the national advertisement campaign;

measure sales of the product or service in a control group that is based on the national advertisement campaign;

measure sales of the product or service in the treatment group;

calculate a difference in sales metrics between the treatment group and the control group; and

use the difference in the sales metrics to then estimate an effect on national sales metrics due to the national campaign.

18 . The computing device of claim 17 , wherein introducing the local advertisement campaign that mirrors the national advertisement campaign comprises approximately matching at least one of the degree-of-targetedness or the distribution of advertisements between the local sub-population and the national population.

19 . The computing device of claim 17 , wherein the processing device is further to:

select the treatment group, the treatment group having first group demographics that vary from national demographics by less than a threshold amount; and

select the control group, the control group having second group demographics that vary from the first group demographics by less than the threshold amount.

20 . The computing device of claim 17 , wherein the processing device is further to:

select the treatment group using a first fitness function that evaluates a suitability of a group for use as a treatment group based on at least one of advertising cost associated with the group, geographic distance of the group from other treatment groups, population of the group, sales per capita for the group, difference between a national census demographic average and demographics of the group, or a degree of targetedness; and

select the control group using a second fitness function that evaluates a suitability of a group for use as a control group based on at least one of geographic distance of the group from the one or more treatment groups, demographic disparity between the group and the one or more control groups, or a cable penetration disparity between the group and the one or more treatment groups.