Database Sub-User Segmentation for Parallel Criteria Targeting
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Solution Overview
Problem
Current systems lack efficient methods for categorizing sub-users of a database to optimize the delivery of electronic messages, leading to sub-optimal response rates and inefficiencies in message distribution.
Innovation Solution
A computer-implemented method and apparatus that utilize a segmentation server to translate user input into a standardized segmentation system vernacular, parse user data, and logically combine criteria to identify and perform electronic actions on segmented sub-users, incorporating user feedback and behavior tracking to refine categorization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual categorization of sub-users is performed, then message distribution can be customized, but user effort and time consumption increase significantly
Solution Approach 1:
The system pre-processes and stores user data in standardized formats with predefined segmentation criteria before actual message distribution is needed. This preliminary categorization framework allows users to quickly create targeted lists without manual effort when messages need to be sent.
Solution Approach 2:
The segmentation system automatically performs user categorization based on predefined criteria and data patterns, eliminating the need for manual user intervention. The system serves itself by autonomously identifying and grouping sub-users according to the standardized segmentation vernacular.
2Productivity
If generic message distribution is used, then system complexity is reduced, but message performance and response rates deteriorate
Solution Approach 1:
The system divides the user base into distinct segments based on standardized criteria (demographics, behavior, preferences). This segmentation enables tailored message distribution to specific groups, improving performance while managing complexity through systematic categorization rather than ad-hoc approaches.
Solution Approach 2:
The system utilizes multiple user parameters (behavioral data, demographic information, engagement metrics) to dynamically adjust segmentation criteria. By changing and combining different parameters, the system achieves precise targeting without requiring overly complex manual intervention.
3Measurement precision
If detailed user data is collected for precise segmentation, then targeting accuracy improves, but data processing time and computational resources increase
Solution Approach 1:
User data is collected, standardized, and pre-processed into structured formats with assigned segmentation criteria before actual segmentation is needed. This preliminary organization of detailed user data allows for rapid, accurate targeting when messages are distributed without processing delays.
Solution Approach 2:
The system replaces manual data processing and categorization with automated computational algorithms that efficiently handle detailed user data. This substitution enables precise segmentation based on multiple parameters without the time cost of manual analysis.
Data Source
AI summary
Apparatuses, methods, and systems for electronic categorization of sub-users of a database for receiving an electronic action are disclosed. One method includes receiving a segmentation description from a user of a user server, retrieving user data from the database, translating the segmentation description to a standardized segmentation system vernacular based on the segmentation description and the retrieved user data, identifying a set of individual criteria contained within the standardized segmentation description vernacular mapped to variable names, expressing the standardized segmentation system vernacular as a logical statement in terms of the variable names, parsing each individual criteria of the set of individual criteria against sub-user data of the database in parallel yielding a representation of each criteria, identifying sub-users of a segment by logically combine the representation of each criteria according to the logical statement, and performing an electronic action directed to the sub-users identified by the segment.