Correlated Dataset User Segmentation System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing marketing systems are ineffective in targeting specific consumers by failing to integrate and aggregate data from multiple sources, leading to inefficient content delivery and potential lost revenue, as they focus on reaching a large quantity of consumers rather than valuing individual interactions.
Innovation Solution
A system and method for determining segments of online users from correlated datasets, which involves receiving and correlating user-related data from various sources, applying segment rules to identify qualified users, and storing their segment qualifications, allowing for targeted content delivery while maintaining user privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If marketing systems deliver targeted content to reach the greatest quantity of consumers, then the coverage of consumers is improved, but the value of individual consumer interactions deteriorates
Solution Approach 1:
The patent segments consumers into different groups based on their characteristics, behaviors, and value to the organization. By dividing the consumer base into segments, the system can apply different content delivery strategies to different groups, thereby maintaining high coverage while preserving the value of individual interactions through targeted approaches.
Solution Approach 2:
The patent applies local quality by tailoring content delivery to specific consumer segments rather than using a uniform approach. Each segment receives content customized to its characteristics, which maintains the value of individual interactions while still achieving broad coverage across all segments.
2Loss of information
If marketing systems receive information from multiple sources, then the comprehensiveness of consumer information is improved, but the complexity of integrating and aggregating data deteriorates
Solution Approach 1:
The patent introduces an intermediary component that acts as a mediator between multiple data sources and the marketing system. This intermediary handles the integration and aggregation of data from various sources, reducing the complexity for the main system while maintaining comprehensive consumer information.
Solution Approach 2:
The patent creates a universal data integration framework that can handle multiple data sources through a common interface and standardized processes. This multi-functional approach allows the system to integrate diverse data types without proportionally increasing complexity.
3Quantity of substance
If marketing systems deliver content to a significant volume of low-value consumers, then the coverage is improved, but the system resource expenditure deteriorates
Solution Approach 1:
The patent segments consumers by value, separating high-value from low-value consumers. This allows the system to allocate resources efficiently by directing intensive content delivery to high-value segments while using more automated or reduced approaches for low-value segments, thereby maintaining coverage while reducing resource expenditure.
Solution Approach 2:
The patent applies partial action by delivering full-content personalized marketing only to high-value consumer segments, while using simplified or automated content delivery for low-value segments. This partial differentiation maintains adequate coverage across all consumers while optimizing resource usage by concentrating efforts where they yield the highest return.
Data Source
AI summary
Systems and methods are disclosed for determining segments of online users from a correlated dataset. One method includes receiving, over a network, a plurality of datasets including user-related data of a plurality of users, each dataset being transmitted from a data owner; correlating, by at least one processor, the plurality of datasets into a correlated dataset; receiving a segmentation request for determining a plurality of users that qualify for a segment, the segmentation request including a set of segment rules to apply to the correlated dataset; determining, by accessing the correlated dataset, whether each user of the plurality of users qualifies for the segment based on the segment rule; and storing an indication of the segment in the correlated dataset for each user determined to qualify for the segment.