Invention Grant
- Patent Title: Predictive RFM segmentation
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Application No.: US16818519Application Date: 2020-03-13
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Publication No.: US12154038B2Publication Date: 2024-11-26
- Inventor: Zhaoyan Zhu , Xin Heng
- Applicant: Punchh Inc.
- Applicant Address: US CA San Mateo
- Assignee: Punchh Inc.
- Current Assignee: Punchh Inc.
- Current Assignee Address: US CA San Mateo
- Agency: Foley Hoag LLP
- Agent Erik A. Huestis; Joshua S. Matloff
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06F16/24 ; G06N20/00 ; G06Q30/0204

Abstract:
A system and a method are disclosed for adjusting communication settings based on user segmentation. An activity-based communication management system retrieves behavioral and demographic data of at least one user. The system inputs the behavioral data and the demographic data into machine learning models. For each of the machine learning models, the system receives a respective activity parameter characterizing a predicted activity occurring within a time window. The system determines, based on the received activity parameters, a category to which the behavioral data and demographic data belong. The system subsequently adjusts a plurality of communication settings based on the determined category. The activity-based communication management system may provide user segmentation using both empirical activity parameters (e.g., historical behavioral data) and predicted activity parameters.
Public/Granted literature
- US20200293923A1 PREDICTIVE RFM SEGMENTATION Public/Granted day:2020-09-17
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