Cross-Platform User Experience Segmentation for Consistent Personalization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing online services struggle to provide a seamless and customized user experience across multiple platforms, as user behavior on one platform is not effectively utilized to enhance engagement on another, leading to fragmented experiences.
Innovation Solution
A real-time cloud infrastructure platform that segments users into actionable groups and provides customized online experiences through dynamic, rules-based paths, enabling differentiated experiences for various user segments, such as high-value or fraudulent users, by tracking user interactions and behaviors to deliver tailored content and features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single online service provides multiple platforms (website and TV platform), then service coverage and accessibility are improved, but user experience consistency and engagement management deteriorate due to fragmented experiences across platforms
Solution Approach 1:
The patent segments users into different groups based on their behavior patterns across multiple platforms. By dividing the user base into segments with similar characteristics, the system can provide customized experiences for each segment while maintaining consistency in how user behavior is tracked and analyzed across all platforms. This resolves the contradiction by enabling platform-specific customization without sacrificing overall experience consistency.
Solution Approach 2:
The patent creates a universal platform that operates across multiple service channels (website and TV platform). This universal system tracks user behavior consistently across all platforms and applies the same segmentation logic universally, ensuring that the core experience management framework remains consistent while allowing platform-specific adaptations in content delivery and interaction modes.
2Adaptability or versatility
If user behavior data is collected across multiple platforms to improve customization, then user experience personalization is improved, but data integration complexity and system complexity increase
Solution Approach 1:
The patent introduces an intermediary segmentation system that acts as a mediator between multiple platform data sources and the customization engine. This intermediary layer aggregates and processes user behavior data from different platforms using standardized methods, then feeds segmented user profiles to the personalization engine. This intermediary structure simplifies data integration by providing a unified processing layer that handles the complexity of multi-platform data harmonization.
3Productivity
If real-time user interaction tracking is implemented to deliver customized experiences, then user engagement and retention are improved, but processing requirements and computational resources increase
Solution Approach 1:
The patent performs preliminary segmentation of users based on their behavior patterns and stores these segment profiles in advance. Instead of performing complex real-time analysis for every user interaction, the system pre-processes user data to create segmented profiles that can be quickly matched and applied during real-time interactions. This preliminary action reduces computational requirements during live operations while maintaining high user engagement through personalized experiences.
Data Source
AI summary
Systems and methods are described for monitoring and managing an online experience. An example method includes: providing a platform to a plurality of operators of a plurality of websites, the platform including a graphical user interface tool; providing the graphical user interface tool to an operator from the plurality of operators while the operator is browsing a website from the plurality of websites; receiving, using the graphical user interface tool, a selection from the operator including an identification of (i) an element to be added to the website and (ii) a location in the website where the element will be added; in response to the selection, automatically revising software code for the website to include the added element at the location; and implementing an updated version of the website using the revised software code.