Persistent Key Identity Linking for Cross-Domain Consumer Data
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Solution Overview
Problem
Current systems lack the ability to effectively aggregate and analyze consumer behavior data across multiple merchants, as consumer identities are often represented differently by each merchant, leading to fragmented insights and inefficient marketing strategies.
Innovation Solution
A networked environment with a market analysis system that includes a record linking application, which processes identity records from various data feeds to associate them with persistent keys, enabling the identification of multiple identity records as belonging to the same consumption entity, and generates reference tables for comparison, thereby facilitating comprehensive market analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If each merchant stores consumer identity and purchase records independently, then each merchant can track consumer behavior at their outlet, but the consumer behavior data remains fragmented across merchants and cannot be aggregated for comprehensive analysis
Solution Approach 1:
The patent introduces a data feed processor as an intermediary system that receives data feeds from multiple merchants, extracts identity records and purchase behavior records, and processes them through a record linking application. This intermediary layer enables aggregation of consumer behavior data across merchants without requiring direct integration between merchant systems, thus reducing overall system complexity while preventing information loss.
Solution Approach 2:
The record linking application creates persistent keys that serve as universal identifiers across different merchants and data feeds. These persistent keys enable the same consumer to be identified across multiple merchants using different identity representations, allowing comprehensive behavior aggregation. The system performs multiple functions: extracting records, linking identities, creating persistent keys, and generating reference tables, all within a single multi-functional component.
2Measurement precision
If consumer identities are represented differently by each merchant, then each merchant can maintain their own identity format, but the same consumer cannot be identified across different merchants leading to fragmented insights
Solution Approach 1:
The system transforms various merchant-specific identity representations into a standardized parameter format through persistent keys. The record linking application compares identity records across different data feeds and assigns consistent persistent key identifiers, effectively changing the parameter representation from diverse merchant-specific formats to a unified identification system. This enables accurate consumer identification across merchants while maintaining efficient marketing analysis productivity.
3Adaptability or versatility
If stores only know purchase habits within their own outlet, then data storage and processing remains simple for each store, but marketing strategies cannot be optimized across multiple domains
Solution Approach 1:
The patent segments the cross-domain data aggregation system into modular components: data feed processors for each merchant, a record linking application for identity matching, and reference tables for persistent key storage. This segmentation allows each component to operate independently with well-defined interfaces, reducing the perceived complexity of the overall cross-domain system while enabling versatile marketing strategies across multiple merchants.
Data Source
AI summary
The present disclosure relates to identifying consuming entity behavior across domains. Identity records are stored in a memory accessible to a computing system. Each of the identity records comprises at least one attribute, and the identity records originate from a plurality of domains. A determination is made as to whether a first one of the identity records identifies a consumption entity that is identified by a second one of the identity records. The first and the second identity records originate from separate ones of the domains, and the second one of the identity records is associated with a persistent key. The persistent key is associated with the consumption entity. The first identity record is associated with the persistent key if the first identity record is determined to identify the consumption entity.