Dynamic Image Code for Personalized Email Recommendations
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Solution Overview
Problem
Conventional email marketing lacks personalization, leading to decreased click-through and conversion rates as it fails to consider individual user preferences, resulting in users receiving unwanted items and losing interest in marketing emails.
Innovation Solution
A method and system for providing personalized recommendation services through emails by dynamically creating and sending personalized content using dynamic image output code within HTML tags, which calls an API to retrieve the most recent item information from a marketing server, tailored to each user's preferences and behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniform marketing content is sent to all users, then the email marketing system is simple and easy to operate, but the click-through rate and conversion rate decrease due to lack of personalization
Solution Approach 1:
The patent segments users into different groups based on their interests, age, sex, and other characteristics. Instead of sending uniform content to all users, the system divides the audience into segments and tailors email content to each segment's preferences, thereby improving click-through and conversion rates while maintaining operational simplicity through automated segmentation processes
Solution Approach 2:
The patent applies local quality by customizing email content to match the specific interests and characteristics of different user groups. Each user receives personalized recommendations based on their individual profile and behavior history, making the marketing content locally optimized for each recipient's preferences rather than using a one-size-fits-all approach
2Productivity
If personalized content is dynamically created for each user, then the click-through rate and conversion rate increase, but the device complexity and system complexity increase
Solution Approach 1:
The patent implements preliminary action by pre-processing user data and item information before email generation. User profiles, interest categories, and item attributes are prepared and stored in advance, allowing the system to quickly assemble personalized content without complex real-time calculations when sending emails
Solution Approach 2:
The patent introduces an intermediary processing layer that sits between the raw data sources and the final email content. This intermediary layer processes and transforms data into usable formats, managing complexity centrally while keeping the email generation process simple and maintainable
3Stability of the object's composition
If static item information is used in emails, then the email content is stable and easy to manage, but the information becomes outdated and less relevant to current user preferences
Solution Approach 1:
The patent applies dynamics by making email content adaptable rather than static. The system automatically updates recommended items based on changing user preferences, seasonal trends, and real-time item availability. Content is dynamically regenerated for each user based on their profile and current data, ensuring freshness while maintaining stability through consistent personalization approaches
Data Source
AI summary
Disclosed herein are a method for providing a personalized recommendation service based on email and an apparatus for the same. The personalized recommendation service may be provided by determining a personalized recommended item targeted at a recommendation target user, creating dynamic image output code for outputting the personalized recommended item, creating an email based on the dynamic image output code and sending the email to the recommendation target user, and calling the most recent item information about the personalized recommended item from a marketing server based on execution of the dynamic image output code when the recommendation target user reads the email. Also, when a user reads an email, the most recent information about items that are being provided in the marketing server may be provided.