Web Page Experimentation with Fragmented Content Sections
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Solution Overview
Problem
Current web page optimization methods lack efficient tools to measure and compare the performance of different content variations on web pages, particularly in achieving conversion goals such as directing traffic to specific pages, as they often require manual changes to the page code and do not effectively balance traffic across multiple experiments.
Innovation Solution
An automated web page experimentation system that selects and measures the performance of content item groups by varying content sections and fragments on a test page, allowing for pseudo-random selection and recording user responses to determine conversion rates, thereby optimizing content for specific goals without altering the underlying page code.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual changes to page code are used to test content variations, then content optimization can be performed, but the process becomes complex and time-consuming
Solution Approach 1:
The patent segments the web page into multiple sections, each containing replaceable content elements. This allows individual content portions to be varied and tested independently without modifying the entire page code, thereby simplifying the experimentation process and improving optimization speed.
Solution Approach 2:
The patent implements preliminary action by pre-defining multiple content variations for each section in advance. These variations are stored and ready for automated selection and testing, eliminating the need for manual code changes during the experimentation process and significantly reducing the time required for content optimization.
2Measurement precision
If multiple content variations are tested simultaneously, then more data can be collected, but traffic management becomes difficult
Solution Approach 1:
The patent implements feedback mechanisms that automatically track user interactions with different content variations and use this data to dynamically adjust traffic distribution. This allows for precise performance measurement across multiple variations while automatically managing traffic balance, eliminating the difficulty of manual traffic management.
3Extent of automation
If automated content selection is implemented, then experimentation efficiency improves, but system complexity increases
Solution Approach 1:
The patent implements a universal content management system that handles multiple functions including content storage, variation selection, traffic distribution, and performance tracking through a single integrated platform. This multi-functional approach automates the experimentation process efficiently while avoiding the need for multiple separate systems, thereby reducing overall system complexity.
Data Source
AI summary
In one general aspect, a page identifier of a test page having code defining a content section, the content section comprising a plurality of content section fragments, is received. A content item group is selected from a collection of content item groups, each content item group defining an association of content items with content section fragments of the content section. Each identified content item in the selected content item group is transmitted for placement on the test page in the associated content section fragment.