公开(公告)号：US20210357976A1

公开(公告)日：2021-11-18

申请号：US17443517

申请日：2021-07-27

申请人： ADAP.TV, Inc.

发明人： Brendan KITTS ,  Brian Burdick ,  Dyng AU ,  Liang Wei ,  Amanda Powter

IPC分类号： G06Q30/02

摘要： This paper presents a practical method for measuring the impact of multiple marketing events on sales, including marketing events that are not traditionally trackable. The technique infers which of several competing media events are likely to have caused a given conversion. The method is tested using hold-out sets, and also a live media experiment for determining whether the method can accurately predict television-generated web conversions.

公开(公告)号：US11107116B2

公开(公告)日：2021-08-31

申请号：US14321385

申请日：2014-07-01

申请人： ADAP.TV, Inc.

发明人： Brendan Kitts ,  Brian Burdick ,  Dyng Au ,  Liang Wei ,  Amanda Powter

IPC分类号： G06Q30/02

摘要： This paper presents a practical method for measuring the impact of multiple marketing events on sales, including marketing events that are not traditionally trackable. The technique infers which of several competing media events are likely to have caused a given conversion. The method is tested using hold-out sets, and also a live media experiment for determining whether the method can accurately predict television-generated web conversions.

公开(公告)号：US11232473B2

公开(公告)日：2022-01-25

申请号：US15268449

申请日：2016-09-16

申请人： Adap.tv, Inc.

发明人： Brendan Kitts ,  Garrett James Badeau ,  Davood Shamsi ,  Yongbo Zeng ,  Liang Wei ,  Andrew George Potter ,  Sergei Tolkachov

IPC分类号： G06Q30/02

摘要： Systems and methods are disclosed for demographic prediction based on aggregated training data. The predictions are based on auditing aggregated data associated with identified properties of web requests. The audited information is based on a batch of prior web requests that have the same property and have been audited by a measurement company.

公开(公告)号：US10825061B2

公开(公告)日：2020-11-03

申请号：US15784001

申请日：2017-10-13

申请人： Adap.tv, Inc.

发明人： Brendan Kitts ,  Garrett James Badeau ,  Michael Krishnan ,  Yongbo Zeng ,  Ishadulta Yadav ,  Ruofeng Chen ,  Andrew George Potter ,  Liang Wei ,  Ethan James Thornburg ,  Sergey Tolkachov

IPC分类号： G06Q30/02

摘要： The present disclosure describes a system that attempts to reconcile diverse goals and re-cast the goals into something that is quantifiable and optimizable. One way to reconcile diverse goals is by converting these “constraints”—with the huge problems of feasibility—into errors that can be minimized. This disclosure also presents solutions for rate constraints which previously have not been dealt with. The resulting system enables advertisers to dynamically adjust their campaign based on the needs of the moment. Such a system can have advantages in terms of controllability, smoothness, as well as avoiding hard stop conditions that plague the constraint-based approach. In order to achieve this result, solutions are presented for problems of pacing, viewability prediction, and most particularly, error minimization.

公开(公告)号：US20180108049A1

公开(公告)日：2018-04-19

申请号：US15784001

申请日：2017-10-13

申请人： Adap.tv, Inc.

发明人： Brendan Kitts ,  Garrett James Badeau ,  Michael Krishnan ,  Yongbo Zeng ,  Ishadulta Yadav ,  Ruofeng Chen ,  Andrew George Potter ,  Liang Wei ,  Ethan James Thornburg ,  Sergey Tolkachov

IPC分类号： G06Q30/02

CPC分类号： G06Q30/0272 ,  G06Q30/0275

摘要： The present disclosure describes a system that attempts to reconcile diverse goals and re-cast the goals into something that is quantifiable and optimizable. One way to reconcile diverse goals is by converting these “constraints”—with the huge problems of feasibility—into errors that can be minimized. This disclosure also presents solutions for rate constraints which previously have not been dealt with. The resulting system enables advertisers to dynamically adjust their campaign based on the needs of the moment. Such a system can have advantages in terms of controllability, smoothness, as well as avoiding hard stop conditions that plague the constraint-based approach. In order to achieve this result, solutions are presented for problems of pacing, viewability prediction, and most particularly, error minimization.

公开(公告)号：US12062070B2

公开(公告)日：2024-08-13

申请号：US17087062

申请日：2020-11-02

申请人： Adap.tv, Inc.

发明人： Brendan Kitts ,  Garrett James Badeau ,  Michael Krishnan ,  Yongbo Zeng ,  Ishadulta Yadav ,  Ruofeng Chen ,  Andrew George Potter ,  Liang Wei ,  Ethan James Thornburg ,  Sergey Tolkachov

IPC分类号： G06Q30/00 ,  G06Q30/0272 ,  G06Q30/0273

CPC分类号： G06Q30/0272 ,  G06Q30/0275

摘要： The present disclosure describes a system that attempts to reconcile diverse goals and re-cast the goals into something that is quantifiable and optimizable. One way to reconcile diverse goals is by converting these “constraints”—with the huge problems of feasibility—into errors that can be minimized. This disclosure also presents solutions for rate constraints which previously have not been dealt with. The resulting system enables advertisers to dynamically adjust their campaign based on the needs of the moment. Such a system can have advantages in terms of controllability, smoothness, as well as avoiding hard stop conditions that plague the constraint-based approach. In order to achieve this result, solutions are presented for problems of pacing, viewability prediction, and most particularly, error minimization.

公开(公告)号：US20230245168A1

公开(公告)日：2023-08-03

申请号：US18297707

申请日：2023-04-10

申请人： ADAP.TV, Inc.

发明人： Brendan KITTS ,  Brian Burdick ,  Dyng AU ,  Liang Wei ,  Amanda Powter

IPC分类号： G06Q30/0242 ,  G06Q30/0241 ,  G06Q30/0251

CPC分类号： G06Q30/0246 ,  G06Q30/0242 ,  G06Q30/0243 ,  G06Q30/0241 ,  G06Q30/0254 ,  G06Q30/0269 ,  G06Q30/0272

摘要： This paper presents a practical method for measuring the impact of multiple marketing events on sales, including marketing events that are not traditionally trackable. The technique infers which of several competing media events are likely to have caused a given conversion. The method is tested using hold-out sets, and also a live media experiment for determining whether the method can accurately predict television-generated web conversions.

公开(公告)号：US11720916B2

公开(公告)日：2023-08-08

申请号：US17443517

申请日：2021-07-27

申请人： ADAP.TV, Inc.

发明人： Brendan Kitts ,  Brian Burdick ,  Dyng Au ,  Liang Wei ,  Amanda Powter

IPC分类号： G06Q30/02 ,  G06Q30/0242 ,  G06Q30/0241 ,  G06Q30/0251 ,  G06Q30/0272

CPC分类号： G06Q30/0246 ,  G06Q30/0241 ,  G06Q30/0242 ,  G06Q30/0243 ,  G06Q30/0254 ,  G06Q30/0269 ,  G06Q30/0272

摘要： This paper presents a practical method for measuring the impact of multiple marketing events on sales, including marketing events that are not traditionally trackable. The technique infers which of several competing media events are likely to have caused a given conversion. The method is tested using hold-out sets, and also a live media experiment for determining whether the method can accurately predict television-generated web conversions.

公开(公告)号：US20210073867A1

公开(公告)日：2021-03-11

申请号：US17087062

申请日：2020-11-02

申请人： Adap.tv, Inc.

发明人： Brendan Kitts ,  Garrett James Badeau ,  Michael Krishnan ,  Yongbo Zeng ,  Ishadulta Yadav ,  Ruofeng Chen ,  Andrew George Potter ,  Liang Wei ,  Ethan James Thornburg ,  Sergey Tolkachov

IPC分类号： G06Q30/02

摘要： The present disclosure describes a system that attempts to reconcile diverse goals and re-cast the goals into something that is quantifiable and optimizable. One way to reconcile diverse goals is by converting these “constraints”—with the huge problems of feasibility—into errors that can be minimized. This disclosure also presents solutions for rate constraints which previously have not been dealt with. The resulting system enables advertisers to dynamically adjust their campaign based on the needs of the moment. Such a system can have advantages in terms of controllability, smoothness, as well as avoiding hard stop conditions that plague the constraint-based approach. In order to achieve this result, solutions are presented for problems of pacing, viewability prediction, and most particularly, error minimization.

公开(公告)号：US20180082325A1

公开(公告)日：2018-03-22

申请号：US15268449

申请日：2016-09-16

申请人： Adap.tv, Inc.

发明人： Brendan Kitts ,  Garrett James Badeau ,  Davood Shamsi ,  Yongbo Zeng ,  Liang Wei ,  Andrew George Potter ,  Sergei Tolkachov

IPC分类号： G06Q30/02

CPC分类号： G06Q30/0242 ,  G06Q30/0251 ,  G06Q30/0277

摘要： Systems and methods are disclosed for demographic prediction based on aggregated training data. The predictions are based on auditing aggregated data associated with identified properties of web requests. The audited information is based on a batch of prior web requests that have the same property and have been audited by a measurement company.