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 a Smart Attribution Evaluation Package (SAEP) platform that allows advertisers to generate and post SAEPs, which include meta-information and executable attribution evaluators, to evaluate claims from multiple publishers and identify responsible publishers based on conversion parameters, eliminating the need for a central entity and promoting unbiased attribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a central third-party attribution provider is used to determine publisher responsibility for conversions, then the attribution process can be centralized and simplified, but the system introduces bias toward certain publishers and reduces transparency
Solution Approach 1:
The patent segments the centralized attribution process into distributed components: multiple independent attribution providers each evaluate claims separately, and the advertiser's system aggregates these evaluations to determine final publisher responsibility. This eliminates single-point bias while maintaining process manageability through modular architecture.
Solution Approach 2:
The patent introduces an intermediary evaluation system that receives claims from multiple publishers, processes them through standardized attribution logic, and produces unbiased determination results. This intermediary layer transparently mediates between publishers and advertisers, eliminating direct biased relationships while maintaining process efficiency.
2Reliability
If multiple publishers can claim conversion responsibility, then the system increases transparency and reduces bias, but the complexity of evaluating multiple claims increases
Solution Approach 1:
The patent uses standardized claim templates and evaluation criteria that can be copied and applied uniformly across multiple publishers. Each publisher submits claims following the same format, and the evaluation system applies identical attribution logic to each claim, reducing complexity through standardization while enabling fair multi-publisher evaluation.
Solution Approach 2:
The patent transforms the complex multi-publisher evaluation problem into manageable parameter comparisons by converting publisher claims into standardized parameters (conversion time, user identifier, campaign identifier) that can be objectively compared and evaluated against attribution criteria, simplifying the evaluation process while maintaining accuracy.
Data Source
AI summary
The present teaching relates to method and system for evaluating a conversion. The method extracts meta-information including a conversion parameter and a reward. The meta-information corresponds to a conversion associated with an advertisement displayed previously by a plurality of entities. The method receives a plurality of claims for the conversion from one or more entities, and selects a claim corresponding to an entity from the plurality of claims based on the conversion parameter and information included in the plurality of claims. Further, the method transmits information related to the selected claim.