Object Customization Management System for Website Content Personalization
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Solution Overview
Problem
Current digital asset management systems are inadequate in creating personalized website content that effectively targets specific customer preferences and market segments, leading to a disconnect between website content and visitor interests, which hampers engagement and sales.
Innovation Solution
The Object Customization and Management (OCM) system determines qualitative attribute categories for digital objects and assigns them based on business objectives, allowing for the selection of objects that align with specific customer preferences and market segments, enhancing content appeal and achieving desired business outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If generic digital assets with static attributes are used to construct websites, then the website creation process is simplified and faster, but the website content becomes disconnected from target visitor interests and fails to achieve desired business outcomes
Solution Approach 1:
The system transforms static asset attributes into dynamic qualitative attributes that can change based on visitor characteristics. Metadata is enhanced to include psychological and behavioral attributes (e.g., humor level, sophistication, risk-taking propensity) that allow assets to adapt to different visitor segments, resolving the contradiction between quick deployment and audience relevance.
Solution Approach 2:
The invention introduces dynamic asset selection based on real-time visitor profiling. Instead of static assignments, the system continuously adapts which digital assets are displayed based on measured visitor attributes, enabling the website to evolve its content presentation while maintaining operational efficiency through automated matching algorithms.
2Adaptability or versatility
If website content is customized to match specific customer preferences and market segments, then engagement and business outcomes improve, but the complexity of managing and selecting appropriate digital assets increases
Solution Approach 1:
The system implements feedback loops where visitor responses to content are measured and used to refine asset selection. Psychological attribute measurements from visitor interactions feed back into the matching algorithm, allowing the system to learn and improve personalization accuracy over time without proportionally increasing management complexity.
Solution Approach 2:
The invention introduces an intermediary layer of qualitative attribute metadata that bridges the gap between raw digital assets and visitor characteristics. This intermediary classification system simplifies the matching process by providing structured descriptors that automatically align assets with visitor profiles, reducing the perceived complexity of personalized asset management.
3Device complexity
If traditional DAM systems with static metadata are used, then the system structure is simpler and easier to maintain, but the system cannot effectively track or respond to changing customer preferences and behavioral norms
Solution Approach 1:
The system performs preliminary classification of digital assets with qualitative attributes during the ingestion phase, preparing assets for future dynamic selection. This advance categorization with psychological and behavioral descriptors enables rapid adaptation to changing market conditions without requiring complex real-time analysis, maintaining system simplicity while enhancing responsiveness.
Data Source
AI summary
An Object Customization and Management (OCM) system is configured to identify an object for creating a website based on a business objective. The OCM system includes a customizing module configured to determine qualitative attribute categories for a plurality of objects operable to be used in websites. The module assigns the plurality of objects to the qualitative attribute categories. The OCM system also includes a data management module configured to receive a request for one of the plurality of objects to be used to achieve the business objective. This module also matches the business objective with one of the qualitative attribute categories, and selects an object in the matched qualitative attribute category for the request.