Web Analytics System for Keyword Traffic Assessment
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Solution Overview
Problem
Current methods for collecting and analyzing network data, especially for large networks like the Internet, face challenges in obtaining complete traffic information, leading to incomplete insights into traffic patterns and user behaviors, which hinders effective analysis of network characteristics and optimization of websites for search engines.
Innovation Solution
A web analytics system that collects, classifies, and analyzes network data to provide interactive services for site owners, allowing them to search, compare, and optimize websites based on various criteria such as traffic metrics, demographics, and search engine optimization techniques, using tools like site screener filters, content filtering, and demographic inference algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If web analytics systems attempt to obtain or compute representative network data for large networks, then analysis capability is improved, but completeness of traffic information deteriorates
Solution Approach 1:
The patent introduces search engine query data as an intermediary source to bridge the gap between available analytics data and complete traffic information. By incorporating queries from search engines that users submit before visiting websites, the system gains additional insights into user intent and traffic patterns without requiring complete network traffic data. This intermediary data source enables improved analysis capability while accepting the limitation of incomplete direct traffic information.
2Measurement precision
If network data collection methods are expanded to capture more traffic information, then measurement precision is improved, but device complexity deteriorates
Solution Approach 1:
The patent leverages search engines as multi-functional intermediaries that simultaneously provide multiple data types: search queries (indicating user intent), click-through data (indicating traffic patterns), and ranking information (indicating website relevance). By utilizing a single search engine infrastructure for multiple analytical purposes, the system achieves improved measurement precision without proportionally increasing device complexity, as the search engine itself performs much of the data collection and initial processing.
3Measurement precision
If automated analysis of network content and user behaviors is implemented, then identification accuracy of website characteristics is improved, but processing time deteriorates
Solution Approach 1:
The patent utilizes search engine query data that is already collected and structured before analytics processing begins. Search engines pre-process user queries, track click-throughs, and maintain ranking data as part of their normal operation. This preliminary collection and structuring of data by the search engine reduces the processing burden on the analytics system, enabling accurate identification of website characteristics without excessive processing time, as much of the heavy lifting has already been performed by the search engine infrastructure.
Data Source
AI summary
An analytics system and associated methods are disclosed. The analytics system may be used by site owners and others for various purposes, such as to identify and compare network sites that satisfy particular criteria, and to identify and compare keywords associated with these sites. The system may, among other services, include a service for analyzing keywords in terms of their potential to drive search engine to traffic to a particular site. The analysis may include an assessment of amounts of traffic these keywords are responsible for driving to sites having a shared audience with the particular site. The service may also generate associated keyword-related recommendations for increasing search engine traffic to the particular site.