Website Engagement Scoring Framework for Dynamic Event-Based Assessment
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Solution Overview
Problem
Existing systems lack the ability to dynamically and accurately assess visitor engagement with websites, failing to provide real-time and retroactive scoring that adapts to website owner-defined events and metrics, and do not offer comprehensive insights for improving user experience and marketing strategies.
Innovation Solution
A framework is developed that allows website owners to customize scoring frameworks based on visitor interactions, enabling real-time and retroactive scoring of engagement metrics, which can be presented through graphical user interfaces, and includes algorithms for processing and storing large data sets to provide actionable insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional static metrics (page views, bounce rate) are used to assess user engagement, then the assessment method is simple and easy to implement, but the ability to accurately and dynamically reflect real visitor engagement behavior is insufficient
Solution Approach 1:
The patent implements dynamic scoring frameworks that allow website owners to update event definitions and score values in real-time. The system automatically recalculates historical scores when frameworks are modified, enabling the assessment to adapt to changing engagement criteria without manual intervention, thus resolving the contradiction between measurement precision and system complexity.
Solution Approach 2:
The system performs preliminary actions by pre-defining scoring frameworks, events, and score values before actual visitor engagement assessment. This allows the complex configuration work to be done in advance, making the actual assessment process simpler while maintaining high measurement precision through customized frameworks.
2Loss of information
If comprehensive visitor interaction data is collected and analyzed, then deeper insights into user behavior can be obtained, but the data processing time and computational resources increase
Solution Approach 1:
The patent segments visitor engagement data into discrete events (clicks, scrolls, form submissions, video plays) that can be independently tracked and scored. This segmentation allows the system to process comprehensive interaction data efficiently by handling individual events separately rather than analyzing entire session data at once, reducing processing time while maintaining complete behavioral insights.
Solution Approach 2:
The system changes parameters by allowing flexible configuration of event types, score values, and weighting factors. This enables the same comprehensive data collection infrastructure to serve different analysis needs by simply adjusting parameters rather than reprocessing data, thus maintaining complete insights while minimizing processing time.
3Adaptability or versatility
If customized scoring frameworks are created for each website, then the assessment can be tailored to specific website goals and metrics, but the setup and configuration process becomes more complex
Solution Approach 1:
The patent implements self-service functionality that allows website owners to independently configure and customize scoring frameworks without requiring technical assistance. The system provides intuitive interfaces for defining events, assigning scores, and modifying frameworks, enabling highly customized assessments while maintaining ease of operation through user-friendly design.
Solution Approach 2:
The system achieves universality by creating a multi-functional platform that can serve different website types and goals through a single customizable framework. The same core system adapts to various assessment needs by configuring different events and score values, eliminating the need for separate systems while providing high adaptability and ease of use.
4Speed
If real-time visitor engagement scoring is implemented, then immediate feedback on visitor behavior is provided, but the computational load and system resources increase
Solution Approach 1:
The patent applies partial action by calculating scores based on significant events only (such as form submissions, purchases, or explicitly defined key interactions) rather than continuously processing every minor user action. This approach provides real-time feedback on important engagement metrics while reducing computational load and energy consumption by focusing resources on meaningful events.
Data Source
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AI summary
Disclosed are techniques for designating a scoring framework for scoring a website based on visitor engagement. A method can include: receiving tracking data recorded at a client-side computing device when a user at the client-side computing device performs actions, during a session, in a website associated with a website owner, identifying events in the tracking data, transmitting the identified events for presentation in a graphical user interface (GUI) display at a computing device of the website owner, receiving input indicating selection of a subset of the identified events to be tracked and a score value assignment for each event in the subset, designating a scoring framework based on the received input, the scoring framework being automatically applied to tracking data from sessions with the website that are associated with client-side computing devices to determine visitor engagement scores for the website, and storing the scoring framework in association with the website.