Targeting television advertisements based on automatic optimization of demographic information
Systems and procedures which allow for the placement of advertisements in an optimized manner are presented. Systems may be provided which may be configured to optimize a media plan (either automatically or manually, or a combinations of both) using demographic vectors, and may display the optimization results in a quantifiable manner using terms and numbers.
1 . A method comprising:
receiving demographic data associated with a plurality of devices associated with a plurality of regions;
determining, based on the demographic data, information indicating at least:
a first cost for a targeted reach based on optimizing output of content to the plurality of devices, and
a second cost for the targeted reach based on optimizing the output of the content within the plurality of regions; and
determining, based on the information and one or more parameters associated with the content, an optimized rotation of the content that satisfies at least in part one or more goals indicated by the one or more parameters.
2 . The method of claim 1 , wherein the first cost or the second cost are indicative of at least one of: a budget, a flight, a frequency, a frequency cap, a cost-per-mille, a targeted cost-per-mille, a gross rating point, or a cost-per-point.
3 . The method of claim 1 , wherein the demographic data is received from one or more web content sources, wherein the one or more web content sources is associated with at least one of a wire service, a media service, a news outlet, or a website.
4 . The method of claim 1 , wherein the demographic data is associated with a plurality of demographic vectors associated with a plurality of population segments within the plurality of regions.
5 . The method of claim 4 , wherein each demographic vector of the plurality of demographic vectors comprises a plurality of indices, wherein each index of the plurality of indices is associated with an attribute score within the population segment, and wherein the attribute score comprises at least one of a binary value or is indexed between 0 and 1000.
6 . The method of claim 4 , wherein the determining the optimized rotation comprises:
determining, for each region of the plurality of regions, a difference between each demographic vector of the plurality of demographic vectors.
7 . The method of claim 1 , wherein the determining the optimized rotation is in response to at least one of: a percentage increase or decrease between the first cost and the second cost being below a threshold.
8 . A non-transitory computer-readable medium storing instructions that, when executed, cause:
receiving demographic data associated with a plurality of devices associated with a plurality of regions;
determining, based on the demographic data, information indicating at least:
a first cost for a targeted reach based on optimizing output of content to the plurality of devices, and
a second cost for the targeted reach based on optimizing the output of the content within the plurality of regions; and
determining, based on the information and one or more parameters associated with the content, an optimized rotation of the content that satisfies at least in part one or more goals indicated by the one or more parameters.
9 . The non-transitory computer-readable medium of claim 8 , wherein the first cost or the second cost are indicative of at least one of: a budget, a flight, a frequency, a frequency cap, a cost-per-mille, a targeted cost-per-mille, a gross rating point, or a cost-per-point.
10 . The non-transitory computer-readable medium of claim 8 , wherein the demographic data is received from one or more web content sources, wherein the one or more web content sources is associated with at least one of a wire service, a media service, a news outlet, or a website.
11 . The non-transitory computer-readable medium of claim 8 , wherein the demographic data is associated with a plurality of demographic vectors associated with a plurality of population segments within the plurality of regions.
12 . The non-transitory computer-readable medium of claim 11 , wherein each demographic vector of the plurality of demographic vectors comprises a plurality of indices, wherein each index of the plurality of indices is associated with an attribute score within the population segment, and wherein the attribute score comprises at least one of a binary value or is indexed between 0 and 1000.
13 . The non-transitory computer-readable medium of claim 11 , wherein the determining the optimized rotation comprises:
determining, for each region of the plurality of regions, a difference between each demographic vector of the plurality of demographic vectors.
14 . A device comprising:
one or more processors; and
memory storing instructions that, when executed by the one or more processors, cause the device to:
receive demographic data associated with a plurality of devices associated with a plurality of regions;
determine, based on the demographic data, information indicating at least:
a first cost for a targeted reach based on optimizing output of content to the plurality of devices, and
a second cost for the targeted reach based on optimizing the output of the content within the plurality of regions; and
determine, based on the information and one or more parameters associated with the content, an optimized rotation of the content that satisfies at least in part one or more goals indicated by the one or more parameters.
15 . The device of claim 14 , wherein the first cost or the second cost are indicative of at least one of: a budget, a flight, a frequency, a frequency cap, a cost-per-mille, a targeted cost-per-mille, a gross rating point, or a cost-per-point.
16 . The device of claim 14 , wherein the demographic data is received from one or more web content sources, wherein the one or more web content sources is associated with at least one of a wire service, a media service, a news outlet, or a website.
17 . The device of claim 14 , wherein the demographic data is associated with a plurality of demographic vectors associated with a plurality of population segments within the plurality of regions.
18 . The device of claim 17 , wherein each demographic vector of the plurality of demographic vectors comprises a plurality of indices, wherein each index of the plurality of indices is associated with an attribute score within the population segment, and wherein the attribute score comprises at least one of a binary value or is indexed between 0 and 1000.
19 . The device of claim 17 , wherein the determining the optimized rotation comprises:
determining, for each region of the plurality of regions, a difference between each demographic vector of the plurality of demographic vectors.
20 . The device of claim 14 , wherein the determining the optimized rotation is in response to at least one of: a percentage increase or decrease between the first cost and the second cost being below a threshold.