Advertising Reward System for Real-Time Effectiveness Measurement
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Solution Overview
Problem
Conventional methods for assessing online advertising effectiveness are inadequate, relying on crude metrics like impressions and click-throughs, and are often expensive and inaccurate, failing to account for user interest and real-time feedback.
Innovation Solution
An advertising reward system that allows users to rank and forward advertisements, providing real-time feedback to advertisers, enabling them to assess ad effectiveness, reach interested users, and modify campaigns accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional advertising effectiveness measurement methods (impressions, click-throughs) are used, then the measurement process is simple and low-cost, but the measurement precision and reliability are insufficient
Solution Approach 1:
The patent implements a feedback mechanism where users provide ratings and comments about advertisements they encounter. This user-generated feedback is aggregated and analyzed to determine advertising effectiveness, replacing crude metrics like impressions with quality-assessed data that reflects actual user perception and interest.
Solution Approach 2:
The system enables users to self-assess advertisement effectiveness by providing their own ratings and feedback. This self-service approach allows the system to collect authentic user perceptions without requiring complex external evaluation mechanisms, thereby improving measurement accuracy while maintaining operational simplicity.
2Measurement precision
If market research is conducted to assess advertising effectiveness, then the measurement precision improves, but the cost and time requirements increase significantly
Solution Approach 1:
The patent establishes a continuous feedback loop where users constantly provide advertisement ratings and feedback as they encounter ads in real-world settings. This ongoing data collection replaces periodic, time-consuming market research with a continuous stream of authentic user responses, enabling real-time effectiveness assessment without interruption to normal operations.
Solution Approach 2:
Users automatically serve as researchers by providing their own feedback on advertisements they encounter. This eliminates the need for external research teams to conduct separate studies, as the system harnesses the natural behavior and opinions of the target audience themselves, dramatically reducing research time and costs.
3Productivity
If advertisements are targeted to specific web sites, then the reach to interested users improves for those sites, but the reach to interested users on other sites is lost
Solution Approach 1:
The system collects feedback data from users across multiple websites and contexts, identifying patterns in which users find advertisements relevant and engaging. This feedback-driven approach allows advertisers to understand their audience's preferences across different platforms, enabling flexible targeting strategies that adapt to user behavior rather than being constrained to predetermined website selections.
Solution Approach 2:
The patent implements dynamic advertisement targeting that adjusts in real-time based on user feedback and behavior patterns. Rather than static targeting to fixed websites, the system dynamically identifies and reaches interested users across multiple platforms based on their demonstrated preferences and engagement, allowing advertising campaigns to flexibly adapt to changing user interests and contexts.
Data Source
AI summary
Advertising rewards and referrals are described, including detecting an interaction with an advertisement, recording the interaction, the interaction including an input being provided in response to the advertisement, generating a reward for the interaction, the reward being an action taken to provide a benefit in response to the interaction, analyzing data associated with the advertisement, the data including a plurality of documented interactions, and providing a result from analyzing the data.