Keyword Management System Scoring Candidate Keywords
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methodologies lack efficiency and effectiveness in understanding and managing keywords for online marketing and advertising, as existing metrics do not provide sufficient guidance for keyword acquisition and allocation strategies.
Innovation Solution
A computer-implemented method and system for managing keywords by generating candidate keywords, receiving attribute values and weights, determining scores, and processing keywords based on these scores to assess their effectiveness, allowing for informed resource allocation and decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple candidate keywords are generated and evaluated using multiple attributes and weights, then the precision of keyword effectiveness assessment is improved, but the complexity of the system increases
Solution Approach 1:
The keyword management system segments the assessment process into multiple independent attributes (e.g., relevance, search volume, competition level) that can be evaluated separately. Each attribute is scored independently and then aggregated using weights, allowing the system to maintain high measurement precision while managing complexity through modular evaluation components.
Solution Approach 2:
The system changes parameters by introducing multiple attributes and weights to transform the keyword assessment from a single metric to a multi-dimensional evaluation. This parameter expansion enables more precise measurement of keyword effectiveness while the weighted scoring mechanism provides a structured approach to managing the increased complexity.
2Loss of information
If comprehensive metrics and attribute values are collected for multiple candidate keywords, then the information completeness is improved, but the time and resources required for processing increase
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing attribute values for candidate keywords before the actual effectiveness assessment. Metrics such as search volume, competition level, and relevance scores are gathered in advance and cached, reducing the time required during the actual evaluation process while maintaining complete information.
Solution Approach 2:
The system implements feedback mechanisms where previously collected metric data and assessment results are stored and reused for future keyword evaluations. This feedback loop allows the system to maintain comprehensive information completeness while reducing redundant data collection and processing time for subsequent assessments.
Data Source
AI summary
Methods, systems, and techniques for keyword management are described. Some embodiments provide a keyword management system (“KMS”) configured to determine the effectiveness of multiple candidate keywords. In some embodiments, the KMS generates multiple candidate keywords based on an initial keyword. The KMS may then determine an effectiveness score for each of the candidate keywords, based on marketing information about those keywords. Next, the KMS may process the candidate keywords according to the determined effectiveness scores. In some embodiments, processing the candidate keywords includes applying rules that conditionally perform actions with respect to the candidate keywords, such as modifying advertising expenditures, modifying content, or the like.