Interactive Advertising System Using Segmented User Profiles
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Solution Overview
Problem
Traditional advertising models are invasive and intrusive, often delivering unsolicited advertisements to users based on mass marketing strategies, which result in low conversion rates and user dissatisfaction.
Innovation Solution
An interactive advertising system that uses AI to deliver personalized, non-intrusive advertisements tailored to individual user preferences, allowing users to interact with and collect virtual advertising tokens, which can be redeemed for rewards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional blanket advertising methods are used to reach mass audiences, then advertising coverage is maximized, but conversion rates remain very low (3-4% or less)
Solution Approach 1:
The patent segments the mass audience into individual user profiles based on demographics, interests, and behavior patterns. Instead of delivering the same advertisement to everyone, the system divides the advertising message delivery into personalized segments, showing different ads to different users based on their specific characteristics and preferences.
Solution Approach 2:
The patent applies local quality by tailoring the advertising content to match each user's specific interests, demographics, and behavior patterns. Different parts of the audience receive different advertising messages that are locally optimized for their preferences, rather than applying a uniform advertising approach to all users.
2Quantity of substance
If high volume blanket advertising is delivered to maximize impressions, then advertising reach is improved, but user satisfaction and experience deteriorate
Solution Approach 1:
The patent changes the parameters of advertising delivery by considering user preferences, interests, and behavior patterns. Instead of delivering ads based solely on volume and frequency, the system adjusts advertising parameters to match user characteristics, delivering ads that are more relevant and less annoying to each individual user.
Solution Approach 2:
The patent incorporates feedback mechanisms to monitor user responses to advertisements and adjust future advertising delivery accordingly. By tracking user interactions, preferences, and reactions, the system learns from user feedback to improve targeting accuracy and reduce annoying or irrelevant advertisements.
3Productivity
If AI-based personalized advertising is implemented to improve conversion rates, then advertising effectiveness increases, but system complexity increases
Solution Approach 1:
The patent implements self-service by enabling the advertising system to automatically collect user data, analyze preferences, and deliver personalized advertisements without requiring manual intervention. The system serves itself by using AI algorithms to process user information and generate targeted advertising campaigns autonomously.
Solution Approach 2:
The patent introduces an intermediary layer between the advertiser and the user, consisting of AI algorithms and data processing systems. This intermediary automatically handles the complex tasks of data analysis, user profiling, and ad selection, simplifying the overall system architecture while enabling personalized advertising.
Data Source
AI summary
Technology is described for enabling social and virtual interaction during online sessions while the user views or interacts with content infused with interactive advertising objects. (e.g., Product placement in a bait click styled environment.) The user interacts with interactive advertising objects to collect points for later redemption of goods, services, and sponsored prizes. The object of the process is that the user is never interrupted while going about moment-to-moment online activity and or watching a modified television network or cable broadcast of programming events, such but not limited to using a Search engine, watching a live or recorded sports or entertainment video, a music video, social media video and other online content. Alternatively, the system is complimentary to traditional advertising models and can be made to be interactive with and used with traditional television and interactive online media presentations of Sponsors brands and advertising messages.