Privacy-Protected Audience Matching with Identity Graph Pre-Verification
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Solution Overview
Problem
Digital advertising campaigns often lack effective audience targeting, leading to inefficiencies and wastage of resources due to inaccurate identification of target audiences, which can result in less effective campaigns and loss of advertising value.
Innovation Solution
A method and system utilizing a privacy-protected environment, such as a cleanroom, to pre-verify digital advertising targets by matching audience identifiers to an identity graph associated with a targetable universe of consumers, ensuring precise targeting and efficient resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If digital advertising campaigns are executed without audience targeting, then the distribution can be implemented simply, but the advertising value is lost and resources are wasted
Solution Approach 1:
The system performs preliminary audience verification before the advertising campaign is executed. By pre-verifying potential targets against the desired audience criteria using the identity graph, the system filters out non-targets in advance, ensuring that only verified target consumers receive advertisements. This preliminary action resolves the contradiction by enabling targeted campaigns without compromising implementation simplicity.
2Measurement precision
If audience identifiers are matched to identity graph in a privacy-protected environment, then the accuracy of target audience identification is improved, but the system complexity increases
Solution Approach 1:
The patent introduces a privacy-protected environment (cleanroom) as an intermediary between the audience verification system and the identity graph. This intermediary enables accurate matching of audience identifiers to consumer profiles while maintaining data privacy and security. The cleanroom acts as a controlled space where verification occurs without exposing raw data, thus achieving high accuracy without proportionally increasing visible system complexity.
3Productivity
If advertisements are provided to all consumers, then the distribution is simple and comprehensive, but the effectiveness decreases when only a subset of consumers are interested
Solution Approach 1:
The system segments the entire consumer population into verified target audiences and non-targets by matching audience identifiers against the identity graph. This segmentation enables the advertising campaign to focus exclusively on the subset of consumers who meet the desired criteria, thereby maintaining comprehensive coverage while significantly improving effectiveness by eliminating wasted impressions on uninterested consumers.
Data Source
AI summary
A method may include obtaining a target audience for an advertising campaign. The target audience may include one or more audience identifiers. The method may also include storing the one or more audience identifiers in a privacy protection environment. The method may further include matching the one or more audience identifiers to an identity graph associated with a targetable universe of consumers to obtain at least one advertising target. The method may also include directing at least one advertisement of the advertising campaign to be provided to the at least one advertising target. The method may further include obtaining impression results associated with the advertising campaign relative to the at least one advertising target.