Aggregated Media Value Scoring for Secure Market Comparisons
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Solution Overview
Problem
Existing systems fail to provide on-line publishers with a standard, accurate, and data-secure performance measurement of their websites' media value, influence, and interaction with visitors, lacking insights into current performance and projections of changes in advertisement strategies, and unable to compare across market groups without violating data security.
Innovation Solution
A computer-implemented system that generates performance analysis via a global communications network, utilizing a processor to identify conversion, average order value, and incremental lift rates, and aggregate media value scores, while excluding outliers and allowing selective access to these metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If performance measurement data is aggregated and shared across market groups, then comparison capability is improved, but data security is compromised
Solution Approach 1:
The patent introduces an intermediary processing layer that aggregates performance measurement data through mathematical transformations (such as normalization and anonymization) before sharing. This intermediary process enables market group comparisons while maintaining individual publisher data security, as the aggregated data cannot be traced back to specific publishers.
2Measurement precision
If detailed client data is collected for accurate performance measurement, then measurement precision is improved, but system complexity increases
Solution Approach 1:
The patent segments the performance measurement system into distinct functional modules: data collection modules that gather specific client data (conversion rates, average order values, incremental lift rates), processing modules that calculate scores, and output modules that present results. This segmentation allows accurate measurement through comprehensive data collection while managing system complexity through modular architecture.
3Loss of information
If multiple client data subsets are processed to generate comprehensive scores, then information completeness is improved, but processing time increases
Solution Approach 1:
The patent implements preliminary action by pre-defining the structure of client data subsets (conversion rate, average order value, incremental lift rate) and their corresponding scoring methodologies before actual performance measurement occurs. This pre-structuring enables efficient processing of comprehensive data without excessive processing time, as the calculation framework is already established and optimized.
Data Source
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AI summary
A computer implemented system for generation of performance analysis of digital advertising carried out on a global communications network that may be accessible by consumers is provided. The system may include a processor and one or more of a client database. The client database may include client data stored thereon. The client data may include a conversion rate, an average order value, and/or an incremental lift rate. The processor may be configured to identify a conversion rate score, identify an average order value score, and identify an incremental lift rate score. The processor may further be configured to generate an aggregated media value score that may be based on the conversion rate score, the average order value score, and the incremental lift rate score. The processor may also be configured to broadcast the aggregated media value score to a receiver.