Programmatic advertising platform
A system and method provides for the use of a proprietary platform to predict impressions and to predict and design ad campaigns. Specifically, a proprietary programmatic advertisement platform correlates television programming asset sources with actual viewing behavior of broadcasts associated with the television programming assets and ad content associated with the ad campaign. The correlation produces a predicted performance value used to generate an ad campaign. For instance, the invention enables television programming asset sources and viewership information providers to communicate with the programmatic advertisement platform in a way that adds value to or otherwise facilitates the valuation of the television programming asset sources in context of the particular ad. Thus, the programmatic advertisement platform delivers improved performance and lower effective cost of television ad campaigns by using automation for simplification and advanced targeting algorithms to reach desired audiences more efficiently.
1. A method, comprising:
correlating, by one or more processors, viewership information and consumer data with a plurality of media assets, wherein the consumer data is matched to the viewership information in a double blind method to determine viewing behavior tied to consumer data segments;
in response to receiving a creation request that specifies selection criteria comprising a target audience and advertising content, determining, by the one or more processors, a predicted performance value for each media asset in the plurality of media assets that indicates a success metric for placement of the advertising content in the media asset and a number of targeted impressions using the viewership information and the consumer data;
creating, by the one or more processors, an advertising campaign comprising one or more media assets selected from the plurality of media assets based on the predicted performance value; and
displaying, by the one or more processors, a report of the advertising campaign comprising the predicted performance value for each of the one or more media assets.
2. The method of claim 1 , wherein the viewership information describes viewing behavior on a plurality of set-top boxes, and wherein the consumer data indicates viewing behavior by one or more demographic attributes.
3. The method of claim 1 , wherein the report further comprises dates, a campaign budget, time ranges, a summary of the one or more media assets, and a plan impression score.
4. The method of claim 1 , further comprising:
generating, by the one or more processors, an order for the one or more media assets; and
transmitting, by the one or more processors, the order to an owner of the one or more media assets to secure placement of the advertising content.
5. The method of claim 2 , further comprising:
receiving, by the one or more processors, the viewership information from a viewership information provider that aggregates data from the plurality of set-top boxes across a plurality of markets.
6. The method of claim 2 , further comprising:
receiving, by the one or more processors, the consumer data from a consumer data provider service, wherein the consumer data comprises gender, age, location, and income.
7. The method of claim 1 , further comprising:
after the advertising campaign starts, generating a campaign report comprising a number of impression and campaign goals.
8. A system, comprising:
a memory; and
at least one processor coupled to the memory and configured to:
correlate viewership information and consumer data with a plurality of media assets, wherein the consumer data is matched to the viewership information in a double blind method to determine viewing behavior tied to consumer data segments;
in response to receiving a creation request that specifies selection criteria comprising a target audience and advertising content, determine a predicted performance value for each media asset in the plurality of media assets that indicates a success metric for placement of the advertising content in the media asset and a number of targeted impressions using the viewership information and the consumer data;
create an advertising campaign comprising one or more media assets selected from the plurality of media assets based on the predicted performance value; and
display a report of the advertising campaign comprising the predicted performance value for each of the one or more media assets.
9. The system of claim 8 , wherein the viewership information describes viewing behavior on a plurality of set-top boxes, and wherein the consumer data indicates viewing behavior by one or more demographic attributes.
10. The system of claim 8 , wherein the report further comprises dates, a campaign budget, time ranges, a summary of the one or more media assets, and a plan impression score.
11. The system of claim 8 , the at least one processor further configured to:
generate an order for the one or more media assets; and
transmit the order to an owner of the one or more media assets to secure placement of the advertising content.
12. The system of claim 9 , the at least one processor further configured to:
receive the viewership information from a viewership information provider that aggregates data from the plurality of set-top boxes across a plurality of markets.
13. The system of claim 9 , the at least one processor further configured to:
receive the consumer data from a consumer data provider service, wherein the consumer data comprises gender, age, location, and income.
14. The system of claim 8 , the at least one processor further configured to:
after the advertising campaign starts, generate a campaign report comprising a number of impression and campaign goals.
15. A non-transitory computer-readable device having instructions stored thereon that, when executed by at least one computing device, causes the at least one computing device to perform operations comprising:
correlating viewership information and consumer data with a plurality of media assets, wherein the consumer data is matched to the viewership information in a double blind method to determine viewing behavior tied to consumer data segments;
in response to receiving a creation request that specifies selection criteria comprising a target audience and advertising content, determining a predicted performance value for each media asset in the plurality of media assets that indicates a success metric for placement of the advertising content in the media asset and a number of targeted impressions using the viewership information and the consumer data;
creating an advertising campaign comprising one or more media assets selected from the plurality of media assets based on the predicted performance value; and
displaying a report of the advertising campaign comprising the predicted performance value for each of the one or more media assets.
16. The non-transitory computer-readable device of claim 15 , wherein the viewership information describes viewing behavior on a plurality of set-top boxes, and wherein the consumer data indicates viewing behavior by one or more demographic attributes.
17. The non-transitory computer-readable device of claim 15 , wherein the report further comprises dates, a campaign budget, time ranges, a summary of the one or more media assets, and a plan impression score.
18. The non-transitory computer-readable device of claim 15 , the operations further comprising:
generating an order for the one or more media assets; and
transmitting the order to an owner of the one or more media assets to secure placement of the advertising content.
19. The non-transitory computer-readable device of claim 16 , the operations further comprising:
receiving the viewership information from a viewership information provider that aggregates data from the plurality of set-top boxes across a plurality of markets.
20. The non-transitory computer-readable device of claim 15 , the operations further comprising:
after the advertising campaign starts, generating a campaign report comprising a number of impression and campaign goals.