公开(公告)号：US20230123539A1

公开(公告)日：2023-04-20

申请号：US18085479

申请日：2022-12-20

Applicant: Adobe Inc.

Inventor： Trevor Paulsen ,  Joshua Butikofer ,  Ankita Mahajan ,  Adrian Tanase

IPC: G06F16/23 ,  G06F7/08

Abstract: This disclosure involves stitching event data using identity mappings. An event analytics system generates and stores an event dataset including first event data for a first set of events associated with a user. The first event data includes timestamps and a device identifier. The system identifies second event data for a second event associated with the user. The second event data includes a timestamp, the device identifier, and a user identifier. The system appends the second event data to the event dataset. Based on the second event data, the system generates and stores an identity mapping that maps the device identifier to the user identifier. Based on the identity mapping and a predetermined look-back window, the system updates the first event data to include the user identifier.

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.