Cost-Per-Engagement Content Distribution System
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Solution Overview
Problem
Traditional online marketing models, such as cost per thousand impressions (CPM) and cost per click (CPC), fail to effectively measure user engagement and adapt billing to the actual interaction levels with advertising content, limiting the efficiency and cost-effectiveness of marketing campaigns.
Innovation Solution
A content distribution system that tracks and measures user interactions with distributed content, calculating the cost of marketing campaigns based on access, engagement metrics, and automatically bills advertisers for the measured interactions, incorporating features like user-generated content, voting, commenting, and viral propagation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cost per thousand impressions (CPM) or cost per click (CPC) billing models are used, then advertising placement and traffic measurement are simplified, but user engagement measurement precision is insufficient
Solution Approach 1:
The patent segments user interactions into distinct types (views, clicks, engagements) and measures each separately. This allows precise measurement of different engagement levels while maintaining a structured, manageable billing system that processes each interaction type through defined tracking and calculation mechanisms.
Solution Approach 2:
The system implements feedback loops where user interactions are tracked, measured, and fed back into the billing calculation process. This enables dynamic adjustment of advertising costs based on actual engagement metrics, improving measurement precision while automating the complexity through systematic feedback processing.
2Productivity
If traditional CPM or CPC models are used, then billing calculation is straightforward, but advertising cost-effectiveness deteriorates due to lack of engagement-based adjustment
Solution Approach 1:
The patent establishes pre-defined interaction types and measurement criteria before campaigns begin. This preliminary structuring of engagement metrics allows for immediate, automated billing calculations based on actual user behavior, improving campaign effectiveness without requiring time-consuming manual optimization.
Solution Approach 2:
The system dynamically adjusts billing based on real-time user engagement data. Interaction tracking and cost calculation are continuously updated according to actual user behavior patterns, enabling adaptive campaign optimization that improves productivity while reducing the time needed for manual adjustments.
3Measurement precision
If user interaction tracking is implemented, then billing accuracy improves, but system complexity increases
Solution Approach 1:
The patent divides user interactions into clearly defined segments (views, clicks, engagements) with specific tracking criteria for each. This segmentation improves measurement accuracy by distinguishing between different interaction types while managing system complexity through structured categorization and dedicated tracking mechanisms for each segment.
4Productivity
If engagement-based billing is implemented, then advertiser ROI improves, but implementation complexity increases
Solution Approach 1:
The system uses feedback mechanisms to automatically track user engagements and calculate billing amounts in real-time. This automated feedback loop improves advertiser ROI by ensuring accurate engagement-based charging while reducing implementation complexity through systematic automation of the billing process.
Solution Approach 2:
The patent implements self-service mechanisms where the system automatically tracks interactions, calculates costs, and processes billing without manual intervention. This self-service approach improves advertiser ROI through precise engagement measurement while managing implementation complexity by automating previously manual processes.
Data Source
AI summary
Content distribution systems that support Cost-Per-Engagement (CPE) based advertising are disclosed. One embodiment includes a server connected to a network and a plurality of user computers connected to the network. In addition, the server is configured to host an interactive web site that enables the uploading of pieces of content in response to the online marketing campaign and the distribution of pieces of uploaded content, each user computer is configured to interact with the web site, the server is configured to track the number of pieces of content uploaded to the website in response to the online marketing campaign, the number of pieces of uploaded content distributed to user computers and the number of other interactions between the user computers and the website, and the server is configured to determine a cost to charge for hosting the marketing campaign based upon at least the number of pieces of content uploaded to the website in response to the online marketing campaign, the number of pieces of uploaded content distributed to user computers and the number of other interactions between the user computers and the website.