Dynamic Media Element Personalization From Purchase Behavior
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Solution Overview
Problem
Conventional content providers fail to customize website content based on users' purchase behavior or preferences, limiting the personalization of product presentation.
Innovation Solution
An analytics server customizes product attributes in media elements for different customers by analyzing their purchase behavior and preferences, transmitting electronic instructions to web servers to render personalized content, including product characteristics, discounts, and payment methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional content providers customize website content based on searched items, then product relevance is improved, but personalization based on user preferences is lost
Solution Approach 1:
The patent combines search behavior data and purchase behavior data into a unified user profile system. The analytics server merges information from search queries, viewed items, and completed purchases to create a comprehensive view of user preferences, enabling both product relevance and personalization to coexist in the customized content delivery
2Ease of operation
If media elements are customized for each user, then user experience is improved, but system complexity increases
Solution Approach 1:
The patent introduces an analytics server as an intermediary component that handles the complex task of analyzing user data and generating customization instructions. This mediator sits between the user's web browser and the content delivery system, processing user profiles and media element parameters to produce personalized content without requiring direct complex interactions between all system components
3Productivity
If dynamic revision of media elements is implemented, then engagement is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary actions by pre-analyzing user behavior data and pre-generating user profiles before content delivery is needed. The analytics server processes user search history, purchase behavior, and preferences in advance to create ready-to-use customization instructions, reducing the processing time required when media elements need to be dynamically revised during actual content delivery
Data Source
AI summary
Disclosed herein are methods and systems for dynamic revision and customization of media elements. In an embodiment, responsive to a request to load a page having a media element indicative of a product that has not been viewed on a second page by a user, a processor retrieves data corresponding to at least a commerce attribute of the user; generates a payload comprising a customized attribute of the product based on a user purchase preference extracted from the retrieved data; and transmit the payload to a webserver hosting the page having the media element, wherein the payload instructs the webserver to revise a default attribute of the media element to present the product with the customized attribute when loading the page.