Adobe, Inc.

David Wilcox

Trevor Paulsen

Ivan Andrus

Brian Lee Jarvis

Nathan A Purser

Vladislav Turchenko

Dirk DeHart

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.

Performing query-time attribution modeling based on user-specified segments

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.

Generating and providing stacked attribution breakdowns within a stacked attribution interface by applying attribution models to dimensions of a digital content campaign

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.

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Lehi, UT, United States of America

David Wilcox