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 central 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 generate and post conversion information, which is then evaluated by multiple entities, eliminating the need for a central third-party provider and ensuring unbiased attribution of conversions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a central third-party attribution provider is used to determine publisher responsibility for conversions, then the process is simplified and centralized, but bias toward certain publishers and lack of transparency occurs
Solution Approach 1:
The patent segments the centralized attribution process into distributed components: multiple entities independently evaluate conversion information using smart contracts on a blockchain network. Each entity maintains autonomy in evaluation while contributing to the overall attribution determination, eliminating the single-point bias of central third-party providers.
Solution Approach 2:
The patent introduces a blockchain-based smart contract system as an intermediary layer between advertisers and publishers. This intermediary automatically executes attribution logic based on predefined criteria, removing human bias while maintaining transparency through immutable recording of all evaluation steps and decisions.
2Measurement precision
If multiple entities evaluate conversion information independently, then transparency and accuracy improve, but system complexity increases
Solution Approach 1:
The patent creates a universal smart contract framework that handles multiple functions within a single system: data validation, entity evaluation, bias detection, and result aggregation. This multi-functional approach allows multiple entities to participate independently while maintaining system coherence through standardized protocols.
Solution Approach 2:
The patent changes the operational parameters of the attribution system by implementing automated smart contracts that execute predefined evaluation criteria. This transforms the process from manual, bias-prone human judgment to automated, transparent algorithmic evaluation, improving precision while managing complexity through code standardization.
3Ease of manufacture
If traditional third-party attribution methods are used, then implementation is straightforward, but factually accurate information about publisher performance is not received
Solution Approach 1:
The patent implements a feedback mechanism where multiple entities independently evaluate the same conversion information and their results are aggregated on the blockchain. This creates cross-validation feedback loops that identify and eliminate biased evaluations, ensuring that only factually accurate publisher performance data is recorded and communicated back to advertisers.
Data Source
AI summary
The present teaching relates to a method and a system for advertising. The method obtains information about a conversion associated with an advertisement and generates with respect to the conversion, an operational smart attribution evaluation package (SAEP). The SAEP includes a conversion parameter and a reward. The method transmits the SAEP to a platform to be posted, and thereafter receives from the SAEP, an indication of an entity which is estimated to be associated with the conversion and to which the reward is to be allocated. The entity is determined by the SAEP based on the conversion parameter and information from a plurality of entities that displayed the advertisement.