Experience Analytics Script for Text Visibility Tracking
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Solution Overview
Problem
Current e-commerce platforms lack effective methods to track and analyze user interactions on websites, particularly in terms of text visibility during web browsing sessions, which hinders understanding of digital behaviors and impacts online customer experience and sales.
Innovation Solution
A system utilizing a tracking tag, such as a JavaScript code, integrated into an experience analytics script that tracks user interactions on webpages, including text search queries and session analytics, to identify sessions and viewports where specific text strings are displayed, enabling data analysis and insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional e-commerce platforms are used without advanced tracking analytics, then the system is simpler and easier to operate, but the ability to understand user digital behaviors and optimize customer experience is insufficient
Solution Approach 1:
The patent introduces an experience analytics script as an intermediary component that sits between the website and the user interaction tracking system. This script captures text visibility data and user interactions without requiring fundamental changes to the existing e-commerce platform architecture, thereby reducing the complexity burden while enabling comprehensive data collection
Solution Approach 2:
The system creates a virtual copy of the user's viewport and scrolling behavior through simulated viewport movements. Instead of directly tracking complex user device states, the system generates synthetic viewport data that mirrors actual user interactions, enabling text visibility analysis without directly interfering with the original system operation
2Measurement precision
If comprehensive text visibility tracking is implemented across all user sessions, then the measurement precision of user behavior analysis is improved, but the processing time and computational resources increase
Solution Approach 1:
The experience analytics script performs preliminary actions by continuously monitoring and recording text visibility states during user sessions in real-time. By capturing this data as it occurs rather than attempting to reconstruct it afterward, the system achieves high measurement precision while minimizing post-processing time requirements
Solution Approach 2:
The patent segments the text visibility tracking into discrete text elements and viewport states that can be independently recorded and analyzed. This segmentation allows the system to process only relevant data points (text visibility changes) rather than analyzing entire page renders, reducing computational overhead while maintaining precision
Data Source
AI summary
A computer-implemented method includes receiving a text search query and session analytics parameters of a website, accessing session tracking analytics data and visibility analytics data of the website, and identifying one or more sessions and one or more viewports from the session tracking analytics data and the visibility analytics data based on text detected in the session tracking analytics data and the visibility analytics data of the website.