Website Visitation Data Comparison System
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Solution Overview
Problem
Existing website usage tracking systems fail to provide users with an easy and efficient way to compare, filter, and analyze website visitation data, leading to a loss of business utility in understanding website performance and user behavior.
Innovation Solution
A graphical user interface that allows users to compare and filter website visitation data sets by receiving user input to define and adjust filtering criteria, calculating differences in website visitation metrics, and displaying results in reports, enabling quick analysis of data sets and their combinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing reporting systems are used to collect website visitation data, then data collection is performed, but users cannot easily compare, customize, and filter results, leading to loss of business utility
Solution Approach 1:
The patent segments the website visitation data into multiple comparable data sets (e.g., different time periods, navigation tools, or experimental groups) and provides separate filtering controls for each segment. This allows users to independently analyze and compare specific portions of the data without being overwhelmed by the entire dataset, directly addressing the inability to easily filter and compare results in existing systems.
Solution Approach 2:
The patent introduces a new dimensional view by displaying multiple data sets side-by-side in a comparative format with additional filtering dimensions (such as navigation tool type, time period, or page element). This dimensional expansion enables users to compare data across different categories simultaneously, transforming the flat single-view reporting into a multi-dimensional analysis tool that restores business utility.
2Productivity
If traditional website tracking systems are used, then visitation data is collected, but advanced analysis and quick visualization of data changes are not provided
Solution Approach 1:
The patent pre-processes and structures website visitation data into organized data sets during collection, applying initial filtering and categorization by navigation tool, time period, and page element. This preliminary organization enables rapid retrieval and comparison without requiring time-consuming data processing during analysis, significantly improving productivity while reducing the time needed for advanced analysis.
Solution Approach 2:
The patent creates visual copies of visitation data in multiple formats (tables, graphs, comparative views) that can be instantly displayed and manipulated. These visual representations allow users to quickly comprehend data changes and patterns without manually analyzing raw data, accelerating the analysis process while minimizing time loss.
3Measurement precision
If comprehensive website data is tracked, then detailed visitation information is collected, but the complexity of analyzing and comparing multiple factors increases
Solution Approach 1:
The patent segments comprehensive visitation data into distinct, labeled data sets based on navigation tool, time period, and page element. Each segment maintains detailed metrics but is organized separately, allowing precise measurement without overwhelming complexity. Users can focus on specific segments relevant to their analysis needs.
Solution Approach 2:
The patent implements a universal comparison framework that handles multiple data sets and filtering criteria through a single integrated interface. This multi-functional system automatically adapts to different comparison scenarios (time-based, tool-based, element-based) without requiring separate analysis tools, reducing system complexity while maintaining measurement precision.
Data Source
AI summary
A system compares website visitation data sets in response to receiving user input. The system includes a client for processing the input to define one or more data sets as a query to a network, which returns the requested data. The system calculates, for at least one website visitation metric, a difference between values of the website visitation metric for the data sets, and displays one or more reports. In addition, reports can be further adjusted per additional data input. The results enable users to analyze the effects of combinations of factors.