公开(公告)号：US11347809B2

公开(公告)日：2022-05-31

申请号：US16189784

申请日：2018-11-13

Applicant: Adobe Inc.

Inventor： Trevor Paulsen ,  Ivan Andrus ,  Nathan Purser

IPC: G06F16/9038 ,  G06Q30/02 ,  G06F16/35 ,  G06F16/335

Abstract: The present disclosure relates to performing attribution modeling in real time using touchpoint data that correspond to arbitrary analytics parameters (e.g., a user-specified dimension) and are retrieved from a database using an attribution model. For example, in one or more embodiments, a system stores raw data in an analytics database that comprises an aggregator and a plurality of nodes. In particular, each node stores touchpoint data associated with a different user. Upon receiving a query, the system can, in real time, retrieve subsets of the touchpoint data that correspond to a user-specified dimension in accordance with an attribution model. The system then combines the subsets of touchpoint data using the aggregator and generates the digital attribution report using the combined data.

公开(公告)号：US11756058B2

公开(公告)日：2023-09-12

申请号：US17091569

申请日：2020-11-06

Applicant: ADOBE INC.

Inventor： Ritwik Sinha ,  Fan Du ,  Sunav Choudhary ,  Sanket Mehta ,  Harvineet Singh ,  Said Kobeissi ,  William Brandon George ,  Chris Challis ,  Prithvi Bhutani ,  John Bates ,  Ivan Andrus

IPC: G06Q30/00 ,  G06Q30/0201 ,  G06F17/18 ,  G06F16/904

CPC classification number: G06Q30/0201 ,  G06F16/904 ,  G06F17/18

Abstract: Determination of high value customer journey sequences is performed by determining customer interactions that are most frequent as length N=1 sub-sequences, recursively determining most frequent length N+1 sub-sequences that start with the length N sub-sequences, determining a first count indicating how often one of the sub-sequences appears in the sequences, determining a second count indicating how often the one sub-sequence resulted in the goal, and using the counts to determine the most or least effective sub-sequences for achieving the goal.

公开(公告)号：US11423422B2

公开(公告)日：2022-08-23

申请号：US16189812

申请日：2018-11-13

Applicant: Adobe Inc.

Inventor： Trevor Paulsen ,  Ivan Andrus ,  David Wilcox

IPC: G06F16/9038 ,  G06Q30/02 ,  G06F16/904

Abstract: The present disclosure relates to performing attribution modeling in real time using user-specified segments of touchpoint data retrieved from a database using a user-specified attribution model. For example, in one or more embodiments, a system stores raw touchpoint data in a database comprising an aggregator and a plurality of nodes. In particular, each node stores touchpoint data associated with a different user. Upon receiving a first query, the system can, in real time, generate and provide a first digital attribution report based on the stored touchpoint data. Upon receiving a second query, the system can generate a second digital attribution report for a user-specified segment of the touchpoint data represented in the first digital attribution report. Specifically, the system retrieves touchpoint data associated with the user-specified segment from the nodes of the database and uses the aggregator to combine the data to generate the second digital attribution report.

公开(公告)号：US11080732B2

公开(公告)日：2021-08-03

申请号：US15180582

申请日：2016-06-13

Applicant: ADOBE INC.

Inventor： Trevor Paulsen ,  Craig Mathis ,  Nikolaos Vlassis ,  Branislav Kveton ,  Kristopher Paries ,  Ivan Andrus ,  Hung Bui ,  Michael Rimer

IPC: G06Q30/02 ,  G06F3/0484

Abstract: Systems and methods are disclosed herein for providing a user interface representing differences between segments of end users. The systems and methods receive user input on a user interface identifying a first segment, the first segment being a subset of the end users having a particular characteristic, determine differences between the first segment and a second segment, and represent, on the user interface, the differences between the first segment and the second segment based on relative significances of the differences. The marketer using the user interface is able to quickly and easily identify the metrics, dimensions, and/or relationships to other segments that most distinguish the compared segments from one another.

公开(公告)号：US10970338B2

公开(公告)日：2021-04-06

申请号：US16189739

申请日：2018-11-13

Applicant: Adobe Inc.

Inventor： Trevor Paulsen ,  Ivan Andrus ,  Vladislav Turchenko ,  Dirk DeHart ,  David Wilcox ,  Brian Jarvis

IPC: G06F16/9038 ,  G06F16/242

Abstract: The present disclosure relates to performing attribution channel modeling in real time using touchpoint data that corresponds to a user-specified set of channels and is retrieved from a database using a user-specified attribution model. For example, in one or more embodiments, a system stores raw data in an attribution database that comprises an aggregator and a plurality of nodes. In particular, each node stores touchpoint data associated with a different user. Upon receiving a query, the system can, in real time, retrieve subsets of the touchpoint data that corresponds to a user-defined set of distribution channels in accordance with a user-specified attribution model. The system then combines the subsets of touchpoint data using the aggregator and generates the digital attribution report using the combined data.

公开(公告)号：US20240281836A1

公开(公告)日：2024-08-22

申请号：US18110620

申请日：2023-02-16

Applicant: Adobe Inc.

Inventor： Ritwik Sinha ,  Ziao Liu ,  Robert Sebastian Mares ,  Oana Catalina Persoiu-Focsa ,  Moumita Sinha ,  Ivan Andrus ,  David Arbour ,  Akash Maharaj ,  Prithvi Bhutani

IPC: G06Q30/0203 ,  G06F17/18

CPC classification number: G06Q30/0203 ,  G06F17/18

Abstract: Certain aspects and features of this disclosure relate to providing anytime-valid confidence sequences for multiple messaging treatments in an experiment. A process controls and/or corrects statistical error when multiple messaging treatments are being evaluated together. Messages can be stored, formatted, and transmitted from a communication server or other computing system. In one example, each test message from among multiple test messages is sent to an independent group of recipients over some period of time. An analytics application programmatically evaluates a metric related to message responses over time and determines a difference in the metric for each of several unique messages as compared to a baseline message. The analytics application also determines a confidence value and can display the changing confidence value in sequence over time along with the current difference, or lift, while maintaining the accuracy of the values.

公开(公告)号：US20220148013A1

公开(公告)日：2022-05-12

申请号：US17091569

申请日：2020-11-06

Applicant: ADOBE INC.

Inventor： RITWIK SINHA ,  Fan Du ,  Sunav Choudhary ,  Sanket Mehta ,  Harvineet Singh ,  Said Kobeissi ,  William Brandon George ,  Chris Challis ,  Prithvi Bhutani ,  John Bates ,  Ivan Andrus

IPC: G06Q30/02 ,  G06F16/904 ,  G06F17/18

Abstract: Determination of high value customer journey sequences is performed by determining customer interactions that are most frequent as length N=1 sub-sequences, recursively determining most frequent length N+1 sub-sequences that start with the length N sub-sequences, determining a first count indicating how often one of the sub-sequences appears in the sequences, determining a second count indicating how often the one sub-sequence resulted in the goal, and using the counts to determine the most or least effective sub-sequences for achieving the goal.

公开(公告)号：US20200151741A1

公开(公告)日：2020-05-14

申请号：US16189812

申请日：2018-11-13

Applicant: Adobe Inc.

Inventor： Trevor Paulsen ,  Ivan Andrus ,  David Wilcox

IPC: G06Q30/02 ,  G06F17/30

Abstract: The present disclosure relates to performing attribution modeling in real time using user-specified segments of touchpoint data retrieved from a database using a user-specified attribution model. For example, in one or more embodiments, a system stores raw touchpoint data in a database comprising an aggregator and a plurality of nodes. In particular, each node stores touchpoint data associated with a different user. Upon receiving a first query, the system can, in real time, generate and provide a first digital attribution report based on the stored touchpoint data. Upon receiving a second query, the system can generate a second digital attribution report for a user-specified segment of the touchpoint data represented in the first digital attribution report. Specifically, the system retrieves touchpoint data associated with the user-specified segment from the nodes of the database and uses the aggregator to combine the data to generate the second digital attribution report.

公开(公告)号：US20200151282A1

公开(公告)日：2020-05-14

申请号：US16189784

申请日：2018-11-13

Applicant: Adobe Inc.

Inventor： Trevor Paulsen ,  Ivan Andrus ,  Nathan Purser

IPC: G06F17/30 ,  G06Q30/02

Abstract: The present disclosure relates to performing attribution modeling in real time using touchpoint data that correspond to arbitrary analytics parameters (e.g., a user-specified dimension) and are retrieved from a database using an attribution model. For example, in one or more embodiments, a system stores raw data in an analytics database that comprises an aggregator and a plurality of nodes. In particular, each node stores touchpoint data associated with a different user. Upon receiving a query, the system can, in real time, retrieve subsets of the touchpoint data that correspond to a user-specified dimension in accordance with an attribution model. The system then combines the subsets of touchpoint data using the aggregator and generates the digital attribution report using the combined data.

公开(公告)号：US20200151281A1

公开(公告)日：2020-05-14

申请号：US16189739

申请日：2018-11-13

Applicant: Adobe Inc.

Inventor： Trevor Paulsen ,  Ivan Andrus ,  Vladislav Turchenko ,  Dirk DeHart ,  David Wilcox ,  Brian Jarvis

IPC: G06F17/30 ,  G06Q10/06

Abstract: The present disclosure relates to performing attribution channel modeling in real time using touchpoint data that corresponds to a user-specified set of channels and is retrieved from a database using a user-specified attribution model. For example, in one or more embodiments, a system stores raw data in an attribution database that comprises an aggregator and a plurality of nodes. In particular, each node stores touchpoint data associated with a different user. Upon receiving a query, the system can, in real time, retrieve subsets of the touchpoint data that corresponds to a user-defined set of distribution channels in accordance with a user-specified attribution model. The system then combines the subsets of touchpoint data using the aggregator and generates the digital attribution report using the combined data.