Webpage Version Selection via Analytics-Driven Segmentation
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Solution Overview
Problem
Current web analytics tools are inadequate in optimizing webpage design by failing to effectively select the most suitable version of a webpage based on user characteristics and predefined goals, leading to suboptimal user experience and website performance.
Innovation Solution
A computing system that integrates user characteristics with goal-centric analytics to select and display the webpage version most likely to meet user and website objectives, using a processor to receive device information, determine the appropriate webpage version, and present it to users, with modules such as navigation, center content, and footer being optimized based on user feedback and analytics data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple versions of a webpage are maintained for different user segments, then user experience optimization is improved, but system complexity increases
Solution Approach 1:
The patent segments the webpage into multiple versions tailored to different user segments based on analytics data. Each version is optimized for specific user characteristics, allowing the system to deliver personalized experiences without overwhelming complexity through structured segmentation of content and functionality.
Solution Approach 2:
The system performs preliminary actions by pre-processing analytics data and pre-determining optimal webpage versions before user interaction. This advance preparation enables rapid delivery of personalized content without real-time computation overhead, reducing system complexity during actual user sessions.
2Productivity
If analytics data is collected and processed in real-time to personalize webpage content, then user engagement is improved, but processing time increases
Solution Approach 1:
The patent implements preliminary processing of analytics data to pre-determine optimal webpage versions before users arrive. By performing data collection, analysis, and version selection in advance, the system eliminates real-time processing delays while maintaining high user engagement through personalized content delivery.
Solution Approach 2:
The system creates and stores multiple copies of webpage versions optimized for different user segments. These pre-generated copies are served directly based on matched user characteristics, avoiding the need for real-time content generation and significantly reducing processing time while maintaining high engagement through personalized delivery.
3Productivity
If A/B testing is conducted to optimize webpage elements, then conversion rates are improved, but the complexity of managing multiple variants increases
Solution Approach 1:
The patent segments webpage elements into testable variants organized by user segment characteristics. This structured segmentation allows systematic A/B testing across multiple elements and segments simultaneously, managing complexity through organized categorization while maximizing conversion rate optimization through targeted testing strategies.
Solution Approach 2:
The system systematically varies parameters of webpage elements (such as headlines, images, calls-to-action) across different versions tailored to specific user segments. By controlling and tracking parameter changes methodically, the system manages testing complexity while identifying optimal configurations that maximize conversion rates for each segment.
Data Source
AI summary
In an approach for selecting a version of a webpage to present to a user, a processor receives a request to access a webpage from a device, wherein the webpage includes a plurality of versions of the webpage. A processor receives information about the device. A processor determines a version of the webpage to present, based on the information about the device and a predefined goal associated with the webpage. A processor causes the version of the webpage to be presented.