Adobe, Inc.

Michael Rimer

Shiv Kumar Saini

Ritwik Sinha

Branislav Kveton

Hung Hai Bui

Trevor Paulsen

Nikolaos Vlassis

Anandhavelu N

Craig Mathis

Ivan Andrus

Kristopher Paries

Systems and methods are disclosed herein for providing a user interface representing differences between segments of end users. The systems and methods receive user input on a user interface identifying a first segment, the first segment being a subset of the end users having a particular characteristic, determine differences between the first segment and a second segment, and represent, on the user interface, the differences between the first segment and the second segment based on relative significances of the differences. The marketer using the user interface is able to quickly and easily identify the metrics, dimensions, and/or relationships to other segments that most distinguish the compared segments from one another.

Audience comparison

The present disclosure is directed toward systems and methods for identifying contributing factors associated with a multi-variable metric anomaly. One or more embodiments described herein identify one or more contributing factors that led to an anomaly in a multi-variable metric by calculating linearizing weights such that the total deviation in the multi-variable metric can be written as a weighted sum of deviations for dimension elements associated with the multi-variable metric.

Identifying sources of anomalies in multi-variable metrics using linearization

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Saratoga Springs, UT, United States of America

Michael Rimer