Forward Context Browsing Using Real-Time Engagement Scoring
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Solution Overview
Problem
Existing online advertising systems fail to effectively personalize web content in real-time based on user engagement with web content, relying solely on minimal referrer information, leading to suboptimal conversion rates of potential customers to buyers.
Innovation Solution
A system that monitors and calculates an engagement score based on user interaction with web content, using a listener to track behavior and generate an electronic packet with qualification data, allowing real-time customization of web content on landing pages to enhance personalization and remove advertising clutter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If referrer information is used to personalize web content, then personalization capability is improved, but information completeness deteriorates because browsers often block referrer data
Solution Approach 1:
The patent introduces an intermediary mechanism (engagement tracking system) that bridges the gap between content delivery and user identification. Instead of relying directly on blocked referrer data, the system uses engagement metrics as an intermediary indicator of user interest and behavior, allowing personalization to proceed even when direct referrer information is unavailable.
Solution Approach 2:
The patent replaces the mechanical referrer information transmission system with an engagement-based tracking system. Rather than depending on browser-to-server referrer passing (which is frequently blocked), the system substitutes this with engagement metric collection and analysis, fundamentally changing how user context is obtained for personalization purposes.
2Measurement precision
If engagement tracking is implemented to measure user interaction, then user engagement measurement is improved, but system complexity increases due to additional monitoring mechanisms
Solution Approach 1:
The patent implements multi-functional tracking code that serves multiple purposes simultaneously: it measures engagement metrics, identifies user behavior patterns, determines content preferences, and enables personalization decisions. This consolidation of multiple functions into a single tracking mechanism reduces overall system complexity while maintaining precise engagement measurement.
Solution Approach 2:
The system transforms complex user engagement behaviors into simplified quantitative parameters and scores. By converting diverse interaction patterns (time on page, clicks, scrolls) into standardized engagement metrics and user profiles, the system manages complexity through parameter transformation and abstraction.
3Productivity
If real-time content modification is performed based on user engagement, then conversion rate is improved, but processing time increases due to dynamic analysis requirements
Solution Approach 1:
The patent performs preliminary actions by pre-calculating user profiles, engagement scores, and content preferences during the user's interaction journey. This advance preparation of personalization data allows the final content modification decision to be made quickly at the critical moment of conversion, reducing processing time while maintaining high conversion rates.
Solution Approach 2:
The system merges multiple data collection and analysis operations into a unified real-time processing stream. By combining engagement tracking, profile updates, and content selection into an integrated workflow, the system eliminates redundant processing steps and reduces overall processing time while achieving accurate real-time personalization.
Data Source
AI summary
Online retailers and advertisers typically attempt to glean information about a potential customer from his or her web browser click history. However, relying on only a potential customer's click history is not an effective means for tailoring and personalizing web content for the user in the moment of customer interaction with the web content. Obtaining information about the user's engagement with web content is critical to successful personalization of web content in real-time. The present invention provides solutions for monitoring, tracking and calculating user engagement with web content that enables successful personalization of web content in the moment of interaction. The features of the present invention improve the customer experience of shopping online for products by providing web content that is personalized and targeted to the customer, as well as providing online retailers with a way of customizing the customer's shopping experience such that prospective customers convert to buyers at a high rate.