Bidding Value Proposal Using Cost Inflection Points
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Solution Overview
Problem
Current methods for determining optimal bidding values in content distribution processes, such as advertising campaigns, lack accuracy and efficiency, often leading to over- or underbidding due to the absence of effective analysis of historical data and inflection points in cost value mappings.
Innovation Solution
A computer-implemented method that maps factual cost values for an item type according to amount, identifies an inflection point in this mapping, and generates a proposed value for the bidding process using a mathematical representation, incorporating historical data to estimate the required bidding amount for winning the process, particularly for site placement on specific days.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional bidding value determination methods are used, then the bidding process is simple, but the accuracy of bidding values is poor leading to over- or underbidding
Solution Approach 1:
The system performs preliminary mapping and analysis of historical factual cost values to identify inflection points before the actual bidding process. This advance preparation creates a data foundation that improves bidding accuracy without adding complexity during the critical bidding moment.
Solution Approach 2:
The patent replaces traditional mechanical or intuitive bidding determination methods with an automated computational system that uses mathematical mapping and inflection point detection algorithms. This substitution enables precise analysis of historical data patterns that would be impossible through manual methods.
2Measurement precision
If historical data analysis is performed to improve bidding accuracy, then the precision of bid values increases, but the time required for analysis increases
Solution Approach 1:
The system performs the time-consuming mapping and inflection point detection of historical factual cost values in advance, before the actual bidding decision is needed. This preliminary analysis stores processed insights that can be quickly retrieved during bidding, thus improving precision without sacrificing time during critical decision moments.
3Productivity
If inflection point detection is implemented to optimize bidding values, then the effectiveness of bidding increases, but the computational complexity increases
Solution Approach 1:
The system extracts and focuses specifically on inflection points from the mapping of historical factual cost values, rather than analyzing entire datasets. This extraction of critical features maintains high bidding effectiveness while reducing computational complexity by concentrating on the most informative data points.
Data Source
AI summary
A computer-implemented method for proposing a value to a user includes mapping a plurality of factual cost values for an item type according to amount, each of the factual cost values reflecting an amount that won a bidding process for an item of the item type. The method includes identifying an inflection point in the mapping that represents a first factual cost value. The method includes outputting a proposed value for the bidding process to a user, the proposed value generated using the first factual cost value. The method can be implemented using a computer program product.