Quiz-Based Psychographic Profiling for Targeted Content Delivery
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Solution Overview
Problem
Conventional advertising systems lack effectiveness in targeting specific consumers, relying on user-submitted profiles with uncertain reliability and validity, and fail to engage users in sharing personal information, leading to inefficient resource allocation and low user interest in advertised content.
Innovation Solution
A system and method that collect user data through quizzes, associating users with fictional or nonfictional character profiles, aggregating data to recommend targeted content such as TV shows, news feeds, and advertisements, leveraging user engagement and interest by linking users to relevant content assets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional mass mailing and non-targeted advertising systems are used, then businesses can reach a wide audience, but the advertising resources are wasted and effectiveness is low due to inability to target specific consumers
Solution Approach 1:
The patent segments the broad consumer audience into distinct groups based on personality traits and characteristics derived from quiz results. Instead of treating all consumers uniformly, the system divides them into segments with shared psychographic profiles, enabling targeted advertising to specific segments rather than broad mass mailing, thus improving effectiveness and reducing resource waste.
Solution Approach 2:
The patent changes the parameters used for targeting from traditional demographic data (age, location) to psychographic parameters (personality traits, interests, values) obtained through quiz-based personality assessment. This parameter transformation enables more precise matching between consumer psychology and advertising content, resolving the contradiction between reach and effectiveness.
2Loss of information
If user-submitted customer profiles are collected through questionnaires, then some targeting information can be obtained, but users are reluctant to divulge personal information and the data reliability is uncertain
Solution Approach 1:
The system provides immediate feedback to users in the form of personalized personality profiles and character matches based on their quiz answers. This feedback loop engages users, makes them curious about their results, and encourages completion of the quiz, thereby obtaining reliable psychographic data without requiring users to voluntarily submit sensitive personal information through traditional questionnaires.
Solution Approach 2:
The patent introduces a quiz-based personality assessment as an intermediary mechanism between the system and user personal information. Instead of directly asking users for sensitive demographic and personal data, the system uses quiz questions as a mediator to indirectly derive psychographic profiles, reducing user reluctance while maintaining data reliability.
3Productivity
If traditional demographic-based targeting is used, then advertising can be directed to specific groups, but user engagement and interest in advertised content remain low
Solution Approach 1:
The patent applies local quality by tailoring advertising content to match the specific personality traits and psychological characteristics of each user segment. Instead of uniform demographic-based messaging, the system customizes ad content, tone, and appeal to resonate with the unique psychographic profile of each target group, thereby improving both targeting efficiency and user engagement simultaneously.
Data Source
AI summary
Systems and methods for aggregating user data and targeting content to users are described. User data is collected through quizzes and users are associated with a particular fictional or nonfictional character profile based on the user-submitted information. The user data associated with each character profile is aggregated to identify and recommend content for the user, such as television shows, news feed, web pages, promotions, advertisements, and the like. The invention can be used in connection with fan sites or other topic-specific sites that are associated with the character of the character profile.