Shared Cookie Data Management for Consumer Information Linking
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Solution Overview
Problem
Current systems for sharing consumer data among entities face challenges in data privacy preservation, proprietary formats, and limited flexibility in data sharing, often requiring different types of cookies and scripts for various businesses, which restricts the ability to tailor interactions effectively.
Innovation Solution
A shared cookie data management system that enables anonymous linking of consumer data from online and offline sources, using a common shared cookie with access controls, allowing partners to dynamically update and share data in real-time, while preserving privacy and eliminating the need for multiple cookie types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If entities use proprietary cookie formats for data tracking, then data privacy is preserved, but data sharing capability deteriorates
Solution Approach 1:
The patent segments the cookie into two distinct parts: a common identifier portion that enables cross-entity linking, and entity-specific data portions that maintain privacy. This segmentation allows the common portion to be shared across multiple entities while the entity-specific portions remain private and accessible only to their respective owners, thus resolving the contradiction between data sharing capability and privacy preservation.
Solution Approach 2:
The patent introduces a data management system as an intermediary that handles the linking and sharing of consumer data across entities. This intermediary system enables entities to share data through the common cookie identifier without directly exposing each other's proprietary data formats, thereby maintaining privacy while enabling data sharing capability.
2Reliability
If multiple cookie types and scripts are deployed for different businesses, then data privacy is maintained, but system complexity increases
Solution Approach 1:
The patent creates a universal cookie structure that serves multiple functions across different entities. The common identifier portion can be used by any number of entities for linking consumer data, while the entity-specific portions maintain privacy. This multi-functional design eliminates the need for multiple different cookie types and scripts, reducing system complexity while maintaining privacy.
3Reliability
If all or nothing data sharing is implemented, then data privacy is preserved, but marketing effectiveness deteriorates
Solution Approach 1:
The patent segments data sharing into selective portions: entity-specific data remains private to its owner while the common identifier enables targeted marketing across entities. This allows partners to access only the specific data needed for marketing purposes without requiring access to all data, thus maintaining privacy while improving marketing effectiveness through targeted cross-entity campaigns.
Data Source
AI summary
Embodiments of the invention include systems and methods that enable the association and aggregation of consumer data gathered from online and offline sources. In particular, several embodiments are directed to linking consumer data in a data source controlled by an entity (e.g., such as a company's CRM (customer relationship management) database) to offline data sources such as demographic data, and/or online data sources such as online interaction data. The linking may be based on several identifiers (IDs) associated with the data sources. The systems and methods disclosed herein thus facilitate the association of these disparate data sources and enable various entities to better tailor interactions with the consumers. In other embodiments, a shared cookie data management system and method is disclosed. The shared cookie serves as a vehicle through which entities can selectively share consumer information with other entities in a system with uniform format and technical infrastructure.