Keyword Extraction Analytics for User Navigation Insights
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Solution Overview
Problem
Current website traffic analysis tools fail to provide actionable insights on why website visitors navigate through websites and why they leave, lacking information on the specific web content and keywords that influence user paths and fallout.
Innovation Solution
An analytics system that tracks user interactions, extracts keywords from web content, and builds an analysis table to identify influential keywords in user navigation paths, including those leading to and away from web pages, to inform website managers on user behavior and optimize website design.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing website traffic analysis tools are used, then web traffic data can be obtained, but actionable insights on why users navigate and leave the website are not provided
Solution Approach 1:
The patent segments web content into discrete keywords that can be tracked individually. By breaking down content into keyword units, the system can associate specific keywords with user navigation decisions, providing actionable insights without requiring complex analysis of entire pages or sessions.
Solution Approach 2:
The patent introduces keywords as an intermediary between web content and user behavior analysis. Instead of directly analyzing complex user interactions with full pages, the system uses extracted keywords as mediators to infer user intent and navigation reasons, simplifying the analysis while providing meaningful insights.
2Measurement precision
If detailed tracking of user interactions and content extraction is implemented, then actionable data on user behavior can be obtained, but system complexity increases
Solution Approach 1:
The patent extracts only the essential elements (keywords) from web content that are relevant to user navigation decisions. By taking out and focusing on specific keywords rather than analyzing entire pages or all content elements, the system achieves precise measurement of user behavior influences while keeping the system manageable.
Solution Approach 2:
The patent performs preliminary extraction and identification of keywords from web content before user interaction analysis. By pre-processing content to identify and extract relevant keywords in advance, the system reduces the complexity of real-time analysis while maintaining high measurement precision for user behavior attribution.
3Loss of information
If keyword extraction and tracking is implemented, then insights on influential keywords can be obtained, but processing requirements increase
Solution Approach 1:
The patent extracts only the most relevant keywords from web content rather than processing all text. By selectively extracting keywords that are most likely to influence user navigation, the system reduces processing requirements while still capturing the essential information needed to understand keyword influence on user behavior.
Solution Approach 2:
The patent applies partial action by focusing keyword extraction and tracking on specific, high-impact areas of web content rather than uniformly processing all content. This selective approach reduces overall processing requirements while maintaining sufficient information to identify influential keywords and their impact on user navigation.
Data Source
AI summary
The present disclosure is directed toward systems and methods for analyzing user-specific information and determining content within one or more web pages that has been experienced by one or more users. Furthermore, the present disclosure is directed toward identifying and providing actionable data based on keywords experienced by one or more users.