Decentralized Smart Attribution Evaluation Package for Ad Conversion
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Solution Overview
Problem
Current methods for determining which publishers are responsible for advertisement conversions are often biased and lack transparency, as they rely on centralized third-party attribution providers that may favor certain publishers over others.
Innovation Solution
A decentralized system using an operational smart attribution evaluation package (SAEP) that allows advertisers to post conversion-related information on a platform, where multiple publishers can claim their contributions and an executable attribution evaluator determines the responsible publishers based on meta-information and conversion parameters, eliminating the need for a centralized entity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a centralized third-party attribution provider is used to determine publisher responsibility for conversions, then the attribution process can be simplified and centralized, but the system becomes biased and lacks transparency
Solution Approach 1:
The patent extracts the centralized third-party attribution provider from the system and replaces it with a decentralized blockchain-based attribution evaluator. This removes the source of bias while maintaining the attribution function, allowing publishers to independently verify conversion data without relying on a potentially biased central authority.
Solution Approach 2:
The patent introduces a blockchain-based attribution evaluator as an impartial intermediary that objectively assesses conversion data without bias. This mediator uses cryptographic verification and smart contracts to ensure fair and transparent attribution, replacing the biased third-party provider while maintaining system simplicity.
2Ease of operation
If a centralized third-party attribution provider is used, then the system can operate with a single entity making decisions, but the transparency and accuracy of attribution is compromised
Solution Approach 1:
The patent segments the centralized attribution decision-making process into distributed components across multiple publishers and a blockchain network. Each publisher independently verifies conversion data using the attribution evaluator, eliminating information loss and ensuring full transparency while maintaining operational efficiency through automated smart contracts.
Solution Approach 2:
The patent enables publishers to self-verify conversion data using the decentralized attribution evaluator on the blockchain. This self-service mechanism eliminates reliance on a centralized provider, ensuring complete transparency and accuracy as each publisher independently confirms their own conversion data without information loss.
3Ease of manufacture
If proprietary processes are used by third-party attribution providers, then the system can operate with established methods, but bias is introduced that favors certain publishers
Solution Approach 1:
The patent creates a universal blockchain-based attribution evaluator that serves all publishers equally without proprietary bias. This multi-functional system handles conversion verification for multiple publishers through a single impartial smart contract, ensuring objectivity while maintaining ease of implementation through standardized blockchain protocols.
Solution Approach 2:
The patent changes the fundamental parameters of the attribution system from centralized proprietary processes to decentralized cryptographic verification. This parameter change eliminates bias by using objective blockchain data and smart contract logic, ensuring reliable and fair attribution while maintaining implementation simplicity through established blockchain technology.
Data Source
AI summary
The present teaching relates to method and system for advertising. The method obtains information related to an operational smart attribution evaluation package (SAEP) posted on a platform. The SAEP is related to a conversion associated with an advertisement displayed by a plurality of entities. The method parses the SAEP to obtain a conversion parameter, and generates a claim for the conversion based on the conversion parameter and information related to the advertisement, if the advertisement was previously displayed. Further, the method transmits the generated claim to the SAEP to be evaluated whether a reward is to be allocated.