公开(公告)号：US11120058B2

公开(公告)日：2021-09-14

申请号：US16166806

申请日：2018-10-22

Applicant: Adobe Inc.

Inventor： Trevor Paulsen ,  Nathan Purser ,  David Wilcox

IPC: G06F16/332 ,  G06F3/0482 ,  G06Q30/02 ,  G06F16/901

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating and providing stacked attribution distributions within a stacked attribution user interface. For example, the disclosed systems can utilize attribution models to generate stacked attribution distributions as breakdowns of other attribution distributions. The disclosed systems can further provide a stacked attribution user interface that includes selectable elements for identifying event categories, dimensions, and attribution models for generating stacked attribution distributions. Based on user interaction with these selectable elements, the disclosed systems can dynamically generate, provide, and modify attribution breakdowns via the stacked attribution interface.

公开(公告)号：US20220398231A1

公开(公告)日：2022-12-15

申请号：US17347164

申请日：2021-06-14

Applicant: Adobe Inc.

Inventor： Christopher Luby ,  David Wilcox ,  Eric Fox ,  Jeffery Lawson ,  Kyle W. Smith ,  Matthew Gould ,  Michael Rimer ,  Nathan A. Purser ,  Trevor Paulsen ,  William Brandon George

IPC: G06F16/215 ,  G06F16/242 ,  G06F16/22 ,  G06F16/28

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating derived dimensions within ingested data collections. In particular, in one or more embodiments, the disclosed systems generate derived dimensions that modify or correct one or more organizational schemas of an ingested data collection when querying the ingested data collection. For example, the disclosed systems receive a user-defined definition, and generates a fallback expression based on the user-defined definition and aligned to the schema of a particular ingested data collection. In at least one embodiment, the disclosed systems generate the derived dimension by identifying and modifying one or more existing dimensions in the schema based on the fallback expression when reading data from the ingested data collection.

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：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：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：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.