Household Marketing Segmentation via Router Network Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current segmentation tools are limited in effectively segmenting users at a household level for marketing purposes, relying heavily on a wide collection of data and lacking automation in user classification.
Innovation Solution
A machine learning system that collects network usage data from residential network routers and processes it using a machine learning algorithm to segment residential spaces into distinct groups, enabling automated and adaptive marketing segmentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current segmentation tools are used, then user classification can be performed, but segmentation at household level is limited and requires wide collection of data
Solution Approach 1:
The patent segments users at the household level by collecting network usage data from residential network routers, dividing the user base into distinct household segments based on observed network behavior patterns rather than requiring extensive individual user data collection
Solution Approach 2:
The patent uses the residential network router as an intermediary device to collect network usage data that reflects household-level behavior patterns, eliminating the need for direct individual user data collection while achieving accurate household segmentation
2Extent of automation
If manual user classification is used, then segmentation can be performed, but automation is lacking and manual analysis is required
Solution Approach 1:
The patent implements automated machine learning algorithms that self-service the segmentation process by automatically collecting network usage data from routers, processing the data through trained models, and generating household segments without requiring manual analysis intervention
Solution Approach 2:
The patent replaces manual classification mechanics with automated machine learning algorithms that process network usage data and perform user classification automatically, eliminating the need for human analysts to manually segment users
Data Source
AI summary
As described herein, a machine learning system, method, and computer program provide marketing segmentation of residential spaces. In use, network usage data is collected from each residential network router of a plurality of residential network routers operating in a different residential space of a plurality of residential spaces. Additionally, the network usage data is processed by a machine learning algorithm to segment the plurality of residential spaces into a plurality of segments. Further, the plurality of segments are output.