Medical Content Tag Analysis for Targeted Digital Marketing
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Solution Overview
Problem
Existing digital marketing technologies fail to consider customer characteristics in the medical field, making it difficult to apply them effectively in marketing strategies.
Innovation Solution
An information processing device that stores and analyzes user behavior and attribute information, normalizes viewing data, applies factor analysis, and performs multivariate analysis to identify user characteristics and generate data for targeted marketing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If general digital marketing technologies are applied without considering medical field characteristics, then marketing activities can be conducted using existing frameworks, but the effectiveness and accuracy of customer identification deteriorates
Solution Approach 1:
The patent applies local quality by customizing the marketing analysis system specifically for the medical field. It stores medical content information with tags, collects user behavior data related to medical content viewing, and performs analysis tailored to medical customer characteristics. This localized adaptation allows the system to accurately identify medical customer candidates while maintaining the framework of digital marketing technology.
2Measurement precision
If user behavior information is collected and analyzed through multiple processing steps, then customer characteristic identification accuracy improves, but processing time and system complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-storing medical content information with tags and pre-organizing user behavior information in a structured format. The CPU collects and stores user behavior data in advance, normalizing it and preparing it for analysis. This preliminary preparation allows for more efficient processing and reduces the time required for characteristic identification when actual marketing decisions need to be made.
3Measurement precision
If factor analysis and multivariate analysis are applied to user behavior data, then identification of customer characteristics improves, but computational resources and processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the complex analysis process into distinct sequential steps: data collection, data normalization, factor analysis, and multivariate analysis. Each step processes specific aspects of the data independently, making the overall complex computational task more manageable. The CPU executes these segmented processing stages in sequence, reducing the immediate computational burden while maintaining analysis accuracy.
Data Source
AI summary
An information processing device stores medical content information viewable or browsable on a Web site and tag information classifying the medical content information to be associated with each other; stores user behavior information that associates user identification information, the tag information corresponding to the medical content information viewed or browsed by a user, and a number of times of viewing or browsing per the tag information with one another; stores user attribute information that associates the user identification information and attribute information including viewing/browsing situation information of the medical content information viewed or browsed by the user with each other; normalizes the number of times of viewing or browsing per the tag information to represent a frequency of viewing or browsing by the user; and applies factor analysis processing to the user behavior information after the normalizing to calculate a predetermined number of common factors.