Blockchain Smart Contracts for Campaign Targeting
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Solution Overview
Problem
Organizations face challenges in efficiently managing campaign preferences for individuals while ensuring compliance with data privacy laws, as employees often lack understanding of when and how to share personal information, and existing education methods are ineffective due to complex and evolving regulations.
Innovation Solution
A network of nodes with access to a distributed ledger and distributed file system is used to manage campaign preferences, generating smart contracts that interact with campaign parameters to identify targeted individuals, ensuring secure and compliant data sharing through a blockchain-based platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If employees manually manage campaign preferences and share personal information, then data sharing can occur, but compliance with data privacy laws deteriorates due to lack of understanding and ineffective education methods
Solution Approach 1:
The system enables automated compliance checking where the blockchain network self-verifies data sharing operations against privacy laws through smart contracts, eliminating the need for employee understanding of complex regulations. The system serves itself by automatically detecting and preventing non-compliant data sharing actions.
Solution Approach 2:
A blockchain-based intermediary layer is introduced between data sharing requests and actual data transfer. This intermediary verifies compliance with privacy laws through distributed consensus and smart contracts, ensuring that only authorized data sharing operations are permitted while maintaining ease of operation for legitimate use cases.
2Ease of operation
If a centralized system manages campaign preferences, then data access is simplified, but security and tamper resistance deteriorate
Solution Approach 1:
The centralized data access system is segmented into a distributed blockchain network where data access permissions are divided among multiple nodes. Each node maintains a copy of the preference data and enforcement logic, providing both ease of access through standardized interfaces and enhanced security through distributed storage and consensus mechanisms that prevent tampering.
3Reliability
If complex education methods are used to teach data privacy laws, then regulatory coverage may improve, but employee understanding deteriorates due to complexity and evolving regulations
Solution Approach 1:
The mechanical system of employee education and manual compliance checking is replaced with an automated blockchain-based verification system. Smart contracts encode data privacy rules and automatically verify compliance, substituting complex human understanding requirements with machine-executable logic that remains stable even as regulations evolve.
4Adaptability or versatility
If manual identification and targeting of individuals is performed, then campaign customization is possible, but human error and resource waste increase
Solution Approach 1:
The system enables automated identification and targeting where smart contracts self-execute to match campaign parameters with individual preferences stored on the blockchain. The system serves itself by automatically querying the distributed ledger for compatible individuals based on campaign criteria, eliminating manual intervention while maintaining full customization capabilities through programmable matching logic.
Data Source
AI summary
A device, that is part of a network of nodes that has access to a blockchain, may receive, from a user device associated with an entity, a request for campaign information for a campaign. The request may include data identifying campaign parameters. The device may interact with smart contracts associated with the blockchain to identify individuals to target for the campaign. The smart contracts may be configured to receive the campaign parameters as input and to output an indication of whether campaign preferences are compatible with the campaign parameters. The device may generate the campaign information to include information identifying the individuals targeted for the campaign and information identifying particular campaign preferences found to be compatible with particular campaign parameters. The device may provide the campaign information to the user device to permit the user device to use the campaign information to target the individuals for the campaign.