- Patent Title: Performing attribution modeling for arbitrary analytics parameters
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Application No.: US16189784Application Date: 2018-11-13
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Publication No.: US11347809B2Publication Date: 2022-05-31
- Inventor: Trevor Paulsen , Ivan Andrus , Nathan Purser
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Keller Preece PLLC
- Main IPC: G06F16/9038
- 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.
Public/Granted literature
- US20200151282A1 PERFORMING ATTRIBUTION MODELING FOR ARBITRARY ANALYTICS PARAMETERS Public/Granted day:2020-05-14
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