Predicting advertisement impact for audience selection

US10037545B1 · US · B1

Patent metadata
FieldValue
Publication numberUS-10037545-B1
Application numberUS-201414562977-A
CountryUS
Kind codeB1
Filing dateDec 8, 2014
Priority dateDec 8, 2014
Publication dateJul 31, 2018
Grant dateJul 31, 2018

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Abstract

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An influence system for predicting advertisement impact for audience selection. An advertising probe campaign is operated by sending an advertisement to each entity in a treatment group of entities. A control group of entities which excludes the treatment group entities is selected and no campaign advertising content is sent to the treatment group entities. An influence model is created by comparing features of the treatment group converters to features of the control group converters. An individual frequency cap is selected for each entity that is a candidate for the advertising campaign based on a result of applying the influence model to the features of the candidate entity. The entity may be selected to receive an advertisement based on the individual frequency cap. Some embodiments are integrated with a real time bidding (RTB) exchange and a bid response may be configured based on the results of applying the influence model.

First claim

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What is claimed is: 1. A computer-implemented method for preventing advertisement overexposure comprising: operating an advertising probe campaign by: sending an item of campaign advertising content over a network to each entity in a treatment group of entities; and selecting a control group of entities, wherein the control group excludes entities of the treatment group and the item of campaign advertising content is not sent to the entities of the control group; assessing results of operating the advertising probe campaign by: selecting treatment group converters from the treatment group of entities, the treatment group converters having met a conversion criterion of the advertising probe campaign after exposure to the item of campaign advertising content; and selecting control group converters from the control group of entities, the control group converters having met the conversion criterion of the advertising probe campaign without exposure to the item of campaign advertising content; constructing an influence model by an influence system by comparing features of media consumption histories of the treatment group converters to features of media consumption histories of the control group converters; and operating an advertising campaign by the influence system by: receiving, by an influence system, a notification that an opportunity to expose a specified entity to advertising content is available, the specified entity not included in the advertising probe campaign's groups; applying the constructed influence model to features of the specified entity's media consumption history; assigning an individual frequency cap to the specified entity responsive to a result of applying the constructed influence model; selecting the specified entity to receive the item of campaign advertising content based on the individual frequency cap; and sending the item of campaign advertising content to the specified entity responsive to selecting the specified entity. 2. The method of claim 1 wherein operating the advertising probe campaign further comprises: sending control content over the network to each entity in the control group of entities. 3. The method of claim 2 wherein: the control content comprises a public service announcement. 4. The method of claim 1 wherein: receiving, by an influence system, a notification comprises receiving a bid request; and further comprising configuring a bid response. 5. The method of claim 4 wherein: configuring the bid response comprises customizing the item of campaign advertising content. 6. The method of claim 1 further comprising: creating a conversion model by comparing features of converters to features of a standard population, the converters comprising both the control group converters and the treatment group converters; and applying the conversion model to features of the specified entity; and wherein assigning the individual frequency cap further comprises assigning the individual frequency cap based on a result of applying the influence model to the features of the specified entity. 7. The method of claim 1 further comprising: adding an identifier of the specified entity to a retargeting blacklist based on the results of applying the influence model, the retargeting blacklist specifying a set of entities which should be excluded from the advertising campaign. 8. The method of claim 7 further comprising: sending the retargeting blacklist to the advertiser. 9. The method of claim 1 further comprising: storing the individual frequency cap in storage in conjunction with an identifier of the specified entity. 10. The method of claim 1 further wherein: selecting the control group comprises selecting the control group of entities based on a similarity of the control group entities to the treatment group entities. 11. A nontransitory computer readable storage medium including computer program instructions that, when executed, cause a computer processor to perform operations comprising: operating an advertising probe campaign by: sending an item of campaign advertising content over a network to each entity in a treatment group of entities; and selecting a control group of entities, wherein the control group excludes entities of the treatment group and the item of campaign advertising content is not sent to the entities of the control group; assessing results of operating the advertising probe campaign by: selecting treatment group converters from the treatment group of entities, the treatment group converters having met a conversion criterion of the advertising probe campaign after exposure to the item of campaign advertising content; and selecting control group converters from the control group of entities, the control group converters having met the conversion criterion of the advertising probe campaign without exposure to the item of campaign advertising content; constructing an influence model by an influence system by comparing features of media consumption histories of the treatment group converters to features of media consumption histories of the control group converters; and operating an advertising campaign by the influence system by: receiving, by an influence system, a notification that an opportunity to expose a specified entity to advertising content is available, the specified entity not included in the advertising probe campaign's groups; applying the constructed influence model to features of the specified entity's media consumption history; assigning an individual frequency cap to the specified entity responsive to a result of applying the constructed influence model; selecting the specified entity to receive the item of campaign advertising content based on the individual frequency cap; and sending the item of campaign advertising campaign content to the specified entity responsive to selecting the specified entity. 12. The medium of claim 11 wherein the operations further comprise: adding an identifier of the specified entity to a retargeting blacklist based on the results of applying the influence model, the retargeting blacklist specifying a set of entities which should be excluded from the advertising campaign. 13. The medium of claim 12 wherein the operations further comprise: sending the retargeting blacklist to the advertiser. 14. The medium of claim 11 wherein the operations further comprise: adding an identifier of the specified entity to a retargeting blacklist based on the results of applying the influence model, the retargeting blacklist specifying a set of entities which should be excluded from the advertising campaign. 15. The medium of claim 14 wherein the operations further comprise: sending the retargeting blacklist to the advertiser. 16. A system comprising: a computer processor; and a computer readable storage medium storing processor-executable computer program instructions, the computer program instructions comprising instructions for: operating an advertising probe campaign by: sending an item of campaign advertising content over a network to each entity in a treatment group of entities; and selecting a control group of entities, wherein the control group excludes entities of the treatment group and the item of campaign advertising content is not sent to the entities of the control group; assessing results of operating the advertising probe campaign by: selecting treatment group converters from the treatment group of entities, the treatment group converters having met a conversion criterion of the advertising probe campaign after

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What does patent US10037545B1 cover?
An influence system for predicting advertisement impact for audience selection. An advertising probe campaign is operated by sending an advertisement to each entity in a treatment group of entities. A control group of entities which excludes the treatment group entities is selected and no campaign advertising content is sent to the treatment group entities. An influence model is created by comp…
Who is the assignee on this patent?
Quantcast Corp
What technology area does this patent fall under?
Primary CPC classification G06Q30/0246. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jul 31 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).