Economic Scale Calculation for Search Query Prioritization
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Solution Overview
Problem
Existing technologies lack an efficient method to support the selection of search queries for advertising and website optimization, as current indicators such as search volume, cost per click, and competitiveness do not provide a comprehensive understanding of economic scale.
Innovation Solution
A system and method that calculates and displays an 'economic scale' for each search query, based on the number of searches, advertising fees, and competitiveness, allowing for the grouping and prioritization of search queries and content arrangement on websites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple separate indicators (search volume, cost per click, competitiveness) are provided for each search query, then comprehensive information is available, but it becomes difficult to quickly understand and compare the overall economic effectiveness of different search queries
Solution Approach 1:
The patent combines multiple separate indicators (search volume, cost per click, competitiveness) into a single integrated metric called 'economic scale'. This merging allows users to quickly compare and understand the overall economic effectiveness of different search queries without having to analyze multiple separate indicators, thus resolving the contradiction between information completeness and ease of comparison.
Solution Approach 2:
The patent transforms multiple parameters into a single composite parameter through mathematical calculation. The economic scale is calculated by combining search volume, cost per click, and competitiveness into one unified metric, changing the parameter structure from multiple separate values to a single integrated value that preserves the essential information while improving comparability.
2Measurement precision
If search queries are analyzed individually using multiple indicators, then detailed information is obtained, but the selection process becomes time-consuming and complex
Solution Approach 1:
By merging multiple detailed indicators into a single economic scale metric, the patent enables quick comparison and selection of search queries. This reduces the time required for query selection while maintaining measurement precision, as the economic scale encapsulates all necessary information in one comparable value.
Solution Approach 2:
The transformation of multiple parameters into a single composite parameter accelerates the decision-making process. Instead of analyzing multiple indicators separately, users can quickly rank and select search queries based on their economic scale values, significantly reducing selection time while preserving analytical accuracy.
3Reliability
If advertisers manually evaluate each search query based on multiple factors, then thorough analysis is possible, but efficiency and scalability are reduced
Solution Approach 1:
The system performs automatic calculation and ranking of economic scale for multiple search queries without requiring manual intervention. This self-service approach maintains analytical thoroughness through systematic calculation while dramatically improving efficiency and scalability, allowing advertisers to evaluate large numbers of queries quickly and consistently.
Solution Approach 2:
By converting multiple evaluation factors into a single calculable metric, the system enables automated processing of search query evaluations. This parameter transformation allows for efficient computational analysis of numerous queries while maintaining the reliability of thorough analysis through consistent application of the economic scale formula.
Data Source
AI summary
Provided is a content arrangement method, a website construction support method, and a website construction support method that automatically perform determination of a webpage that should be included, a content that should be included in each webpage, and a related webpage as a target of a hyperlink that should be included in each content, and support a work thereof by utilizing a search trend.


