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：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：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：US10855783B2

公开(公告)日：2020-12-01

申请号：US15412580

申请日：2017-01-23

Applicant: Adobe Inc.

Inventor： William Brandon George ,  Nathan Purser ,  Joseph Ward ,  Kristopher Paries ,  John Bates

IPC: H04L29/08 ,  G08B21/18 ,  H04L12/26

Abstract: In some embodiments, a real-time and interactive preview of alerts is provided in a user interface. A computer system parses a set of rules that specifies an alert definition. Each rule identifies a set of observations and an alert trigger criterion based on user input in the user interface. For a rule, the computer system accesses historical data corresponding to the set of observations identified by the rule and determines, based on an analysis of the historical data, time points that trigger alerts over a time period according to the rule. The analysis is based on the alert trigger criterion identified by the rule. The computer system aggregates, based on the alert definition, the time points determined for the rule with time points determined for another rule from the set of rules. Further, the computer system generates an alert preview over the time period for presentation at the user interface.