Website Traffic Value Analysis via Visitor Origin Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current website analytics tools lack the ability to assess the quality and value of website traffic, particularly in terms of visitor behavior and return visits, making it difficult for website owners to determine the effectiveness of marketing efforts and identify profitable traffic sources.
Innovation Solution
A method and system that tracks and categorizes visitor interactions on a website by assigning value points based on content engagement and actions, accumulating scores for each visit, and correlating these scores with the origin of the first visit, allowing for detailed analysis of traffic value and origin.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional analytics tools are used to track traffic volume and origin, then basic traffic information is obtained, but information about traffic quality and value generation is lost
Solution Approach 1:
The patent segments traffic analysis into multiple dimensions: tracking individual visitor sequences, calculating value point scores for specific actions, and categorizing by origin. This segmentation allows comprehensive quality assessment without requiring a completely complex new system architecture.
Solution Approach 2:
The patent introduces value point scores as an intermediary metric that bridges raw traffic data and business value assessment. These scores serve as a mediator that translates visitor behaviors into measurable quality indicators, enabling traditional tools to provide quality information through an added scoring layer.
2Measurement precision
If detailed tracking of visitor actions is implemented to assess traffic quality, then information about value generation is obtained, but data processing complexity increases
Solution Approach 1:
The patent transforms complex visitor behavior data into simplified value point scores through parameter transformation. By assigning numerical values to specific actions (e.g., +10 for product view, +20 for cart addition), the system achieves precise quality measurement while maintaining manageable data processing complexity through standardized scoring parameters.
3Loss of information
If multiple visitor visits are tracked to understand return behavior, then insights into visitor loyalty are obtained, but analysis complexity increases
Solution Approach 1:
The patent merges multiple visit data into unified visitor sequences, combining information from first visits, return visits, and subsequent visits into a single analytical framework. This merging approach provides comprehensive loyalty insights while simplifying analysis by treating the visitor journey as an integrated sequence rather than separate events.
4Measurement precision
If value point scores are accumulated across multiple visits, then total visitor value is obtained, but computational requirements increase
Solution Approach 1:
The patent performs preliminary assignment of value points to specific actions during the tracking phase, so that when calculating total visitor value, the system only needs to accumulate pre-calculated scores rather than re-analyzing raw behavior data. This preliminary action significantly reduces computational energy requirements for total value calculation.
Data Source
AI summary
A method and a system for analyzing traffic on a website are disclosed, the website being arranged on a server. The method comprises the steps of allowing a visitor to perform multiple visits on the website, and monitoring navigations and/or actions performed by the visitor during each visit while accumulating value points in accordance with content viewed by the visitor and actions performed by the visitor, and in accordance with predefined value point settings associated with content of the website, thereby obtaining a value point score for each visit. An origin of the first visit, leading the visitor to the website, is registered and categorized according to type of origin in accordance with two or more predefined categories of origin. An accumulated value point score for the visitor is obtained by adding the obtained value point scores of the first visit and each of the subsequent visit(s). Thereby the website owner obtains information regarding total value generated by the visitor during all visits and regarding what initially lead the visitor to the website. This allows the website owner to evaluate marketing campaigns and to focus and/or improve marketing efforts.