Information Processing System for Website Conversion Optimization
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Solution Overview
Problem
Current systems for improving website conversions lack efficiency in identifying and optimizing user actions that significantly contribute to conversions, making it difficult for businesses to effectively enhance their web pages.
Innovation Solution
An information processing system that obtains user action histories, extracts high-contribution actions, and simulates the impact of changes in these actions on conversion rates, allowing for targeted improvements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the system outputs only users' actions estimated to contribute to conversions, then the conversion optimization is simplified, but the efficiency of improving the website is reduced
Solution Approach 1:
The patent segments user actions into multiple categories (first actions and second actions) based on their contribution to conversions. By dividing actions into these segments and analyzing them separately, the system can identify which actions truly drive conversions while filtering out less effective actions, thereby improving website optimization efficiency without oversimplifying the process
Solution Approach 2:
The patent introduces an intermediary simulation mechanism that models the relationship between changes in action numeric values and conversion numeric values. This simulation acts as a mediator between raw action data and conversion outcomes, allowing the system to efficiently determine the impact of action changes on conversions without directly analyzing every user interaction in detail
2Measurement precision
If the system analyzes all user action histories, then the accuracy of identifying contributing actions is improved, but the processing time and complexity increase
Solution Approach 1:
The patent extracts and separates actions into distinct categories (first actions and second actions) based on their contribution patterns to conversions. By taking out and isolating these action types, the system can analyze only the relevant actions in detail while ignoring redundant information, thereby maintaining high identification accuracy while reducing processing time
Solution Approach 2:
The patent changes the parameter of action classification by introducing numeric values that represent the contribution of different actions to conversions. By transforming raw action data into categorized actions with associated numeric values, the system can efficiently process and compare actions without analyzing every detail of every user interaction history
Data Source
AI summary
An information processing system includes one or more processors configured to: obtain action histories of multiple users on a website; receive setting of a conversion which is a specific action performed by the users on the website; extract a second action from first actions on the basis of the first actions and information about, for each action history, whether the received conversion is included in the action history, the first actions being included in the obtained action histories; simulate the relationship between a change of a numeric value related to the extracted second action and a change of a numeric value related to the conversion; and output the simulation result.