Amazon.com, Inc.
Predictive user segmentation modeling and browsing interaction analysis for digital advertising
Last updated:
Abstract:
Systems, methods, and computer-readable media are disclosed for predictive user segmentation modeling and browsing interaction analysis for digital advertising. In one embodiment, an example method may include identifying a target consumer segment, generating a predictive user behavior model for the target consumer segment based at least in part on selected user data, and receiving an indication that a user is browsing a website. Example methods may include generating a first customer score for the user using the predictive user behavior model in real-time, and determining that the first customer score meets a consumer segment modification threshold for the target consumer segment.
Status:
Grant
Type:
Utility
Filling date:
30 Oct 2015
Issue date:
5 Oct 2021