Ad View Compensation and Rating for User-Targeted Monetization
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Solution Overview
Problem
Existing online advertisements are invasive and often ignored, leading to lost contact with potential consumers, and users receive little incentive to interact with them.
Innovation Solution
A software application that allows users to view advertisements for a predetermined time and provide a rating, receiving financial compensation in return, utilizing a proprietary database that suggests ads based on user profiles and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If pop-up ads are displayed on screens while users are watching videos, then advertisers can reach potential consumers, but users find them invasive and annoying, leading to blocked or ignored advertisements
Solution Approach 1:
The patent converts the harmful factor of user annoyance into a beneficial feedback mechanism. By paying users to rate advertisements, the system transforms what would normally be ignored or blocked ads into valuable market research data, where users actively provide feedback about ad effectiveness and relevance.
Solution Approach 2:
The system implements feedback by having users rate advertisements after viewing them. This feedback loop allows advertisers to receive direct information about user perception and ad effectiveness, enabling continuous improvement of advertising strategies based on actual user responses rather than assumptions.
2Ease of operation
If users are provided with financial incentive to interact with advertisements, then user engagement increases, but the system complexity increases
Solution Approach 1:
The patent makes the system multi-functional by serving multiple purposes: it compensates users for their time and provides advertisers with valuable market data. The same user interaction process simultaneously generates feedback for ad improvement and revenue for users, creating a win-win scenario that justifies the added system complexity.
3Loss of information
If advertisers receive detailed market data from user interactions, then advertising effectiveness improves, but the cost of obtaining such data increases
Solution Approach 1:
The system employs self-service by having users voluntarily provide feedback in exchange for payment. Instead of advertisers needing to invest heavily in complex data collection and analysis systems, users perform the data gathering function themselves through their rating interactions, significantly reducing the cost of obtaining market intelligence.
Data Source
AI summary
A computer-implemented method for monetizing advertisement views in which a processor that is located on a computer initiates the following steps. On a user electronic device, at a proprietary database, receiving one or more advertisements electronically communicated thereto from one or more advertisement sources. The advertisements are electronically communicated to a user/reader based on user/reader profile data collected by an advertisement publicist operably connected to the proprietary database. A preferred advertisement is then selected from the received one or more advertisements and viewed for a predetermined time. The user/reader provides a rating to the selected preferred advertisement after viewing for the predetermined time, and then receives a financial compensation after rating the viewed advertisement.