Persona-Based Ad Targeting System for Privacy and Precision
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Solution Overview
Problem
Current advertising methods, such as targeted ads based on demographic data, often invade user privacy and provide poor results due to the difficulty in inferring granular information from vast amounts of uncontextualized data, leading to a need for a consumer-driven system that allows users to control their demographic data and interests for targeted advertising.
Innovation Solution
The system allows users to create and manage personas, or 'advertars,' which serve as privacy barriers between users and advertisers, enabling users to select, create, or adopt personas based on their interests and demographics, with advertisers receiving targeted demographic characteristics without knowing the user's identity, and using these personas to deliver relevant ads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If behavioral tracking cookies are used to monitor user activity, then data collection capability is improved, but information quality deteriorates due to noise and lack of context
Solution Approach 1:
The patent segments the monolithic behavioral tracking approach into multiple specialized data collection mechanisms: explicit user profiles, implicit behavioral signals, and contextual metadata. Each segment collects specific types of information with clear purpose and context, avoiding the noise problem of general-purpose tracking while maintaining comprehensive data coverage.
Solution Approach 2:
The patent introduces an intermediary layer between raw user behavior and advertising decisions: a profile management system that contextualizes behavioral data. This intermediary adds meaning to raw clicks and views by associating them with user-defined interests, demographics, and preferences, transforming uncontextualized data exhaust into actionable insights.
2Productivity
If demographic data is collected for targeted advertising, then ad targeting effectiveness is improved, but user privacy is compromised
Solution Approach 1:
The patent implements self-service by allowing users to create and manage their own advertising profiles. Users explicitly define their demographics, interests, and preferences, and control what data is shared with advertisers. This eliminates the need for covert data collection while maintaining targeting effectiveness, as users willingly provide the information needed for precise ad delivery.
Solution Approach 2:
The patent inverts the traditional advertising model by shifting control from advertisers to consumers. Instead of advertisers collecting user data unilaterally, the system starts with user-defined profiles that advertisers query. This reversal fundamentally changes the power dynamic, preserving privacy while enabling targeted advertising through user-initiated data sharing.
3Area of stationary object
If mass advertising is sent to large numbers of potential customers, then ad reach is improved, but investment efficiency deteriorates
Solution Approach 1:
The patent implements dynamic ad delivery by allowing users to activate different personas for different contexts and times. Ad targeting adjusts dynamically based on which persona is active, enabling the system to reach the same user with different ads at different times based on their current interests and context, thereby improving investment efficiency without sacrificing reach.
Solution Approach 2:
The patent changes the parameters of ad delivery by introducing persona-based segmentation with multiple dimensions: demographics, interests, behaviors, and contextual states. Instead of single-dimensional targeting, the system uses multi-parameter personas to precisely match ads with user needs, reducing wasted impressions and improving ROI while maintaining broad reach through multiple persona types.
Data Source
AI summary
A system and method for directing self-targeted advertising to users who are interested in receiving it. A user creates or adopts one or more personas that define a number of characteristics that the user has or wants to be associated with. The characteristics of the personas can be used by advertisers to define members of a target audience. Each persona included in a target audience has an address or identifier to which ads are sent. In one embodiment, users are shown a user interface screen with icons representing a number of brands. The user provides input that indicates whether they have different opinions of the brands. Based on the input received, an estimate is made of the likelihood that the user has a number of characteristics. In one embodiment, the user can arrange the icons representing the brands on the user interface screen to indicate if the user likes or dislikes the brand.