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