Network Device Tracing via Embedded JavaScript for Analytics
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Solution Overview
Problem
Traditional methods for gathering analytics on client devices connected to network locations are inefficient, as they rely on slow and messy data extraction from server log files or HTML code, failing to provide accurate and detailed measurements of interaction beyond page views.
Innovation Solution
A system that provides a unique user interface to each network device based on its preferences, enabling more accurate measurement and interpretation of network device activities, interactions, and content performance, with real-time warnings and actionable solutions, using a method that assembles and monetizes activity data to enhance user immersion and connection time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional methods (server log files or HTML code) are used to gather analytics, then data collection is possible, but the process is slow and messy with low efficiency
Solution Approach 1:
The patent introduces JavaScript code as an intermediary component embedded in web pages. This JavaScript acts as a mediator between the client device and the server, collecting analytics data directly in the browser and transmitting it efficiently without requiring slow extraction from server log files. The intermediary JavaScript code captures user interactions, device information, and page view data at the source, eliminating the time-consuming process of aggregating and parsing server logs.
2Measurement precision
If traditional tracing methods are used, then basic metrics like page views can be obtained, but accurate and detailed measurements of interaction are not provided
Solution Approach 1:
The patent segments analytics data collection into multiple distinct components: device information (hardware, software, network), user interaction data (clicks, scrolls, time spent), content engagement metrics, and conversion tracking. Each segment is collected and transmitted separately, allowing for precise measurement of specific interaction types without losing detailed information. This segmented approach enables accurate tracking of granular user behaviors rather than just aggregate page view counts.
3Adaptability or versatility
If individualized user interfaces are provided to each network device, then user engagement is improved, but system complexity increases
Solution Approach 1:
The patent implements preliminary action by collecting device information and user preferences data in advance through the embedded JavaScript code. This pre-collected data is stored and processed before the need for interface customization arises. The system prepares user profiles and preference settings beforehand, allowing the server to quickly retrieve and apply pre-determined interface configurations without complex real-time processing. This preliminary data collection and processing reduces the computational complexity required during actual interface delivery.
Data Source
AI summary
A method is disclosed for enabling a network location to provide an ordering process for data relevant to connected network devices' activities. The method includes assembling the data, utilizing the activity data, and associating the data, such that information is derived to enable a desired expansion of at least one designated activity. Another method is disclosed for managing an object assignment broadcast operations for a network location based on a network device's previous activities. This second method includes tracing a network device's conduct to determine that a network device prefers a particular class of content. The method also includes tagging a network device's profile with the respective observation and deciding by a network location as to the classification factor for a network device to be targeted for an object assignment broadcast.