Amobee, Inc.

ShaoSu Liu

Santanu Kolay

Khaled Elmeleegy

Bin Song

Lawrence Lo

Systems, methods, and apparatus are disclosed for identifying and analyzing online advertising performance data. Systems may receive data records that include data events characterizing interactions between users and online advertisement campaigns. The online advertising data records may include timestamp data characterizing creation dates for data events. The systems may generate intermediate data objects by partitioning at least some of the online advertising data records based on a first plurality of temporal data categories representing different units of time. Each intermediate data object may be associated with a temporal data category of the first plurality of temporal data categories. The systems may generate performance data objects by partitioning the intermediate data objects based on a second plurality of temporal data categories that are different than the first temporal data categories. Each performance data object may be associated with a temporal data category of the second plurality of temporal data categories.

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Redwood City, CA, United States of America

ShaoSu Liu