Advertisement Apparatus for Targeted Notification and Effect Verification
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Solution Overview
Problem
Conventional technologies fail to effectively notify users of highly effective advertisements and verify their impact, considering user statuses and preference tendencies.
Innovation Solution
An advertisement apparatus that acquires user terminal and purchasing behavior information, generates targeted advertisement content based on user data, and verifies the effectiveness of the advertisements by analyzing user interactions and purchasing behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional advertisement technologies are used, then advertisements can be placed broadly, but the effectiveness of advertisements cannot be verified with high accuracy and user preferences cannot be considered
Solution Approach 1:
The system segments users into different user groups based on their terminal device types (smartphone, tablet, PC, etc.) and further segments advertisements into multiple categories. This segmentation allows for precise tracking of advertisement effectiveness for each user group and advertisement category, resolving the contradiction between verification accuracy and system complexity by organizing data into manageable segments rather than attempting to track all users uniformly.
Solution Approach 2:
The system implements feedback mechanisms by acquiring user access information (whether users actually accessed the advertisements) and using this feedback to verify advertisement effectiveness. The effect verification unit receives feedback from multiple sources including user terminal information, purchasing behavior information, and advertisement access information to continuously improve verification accuracy without requiring overly complex system architecture.
2Productivity
If user data is collected and analyzed to generate targeted advertisements, then advertisement effectiveness can be improved, but user privacy concerns and data security requirements increase
Solution Approach 1:
The system introduces an intermediary approach by using anonymized user group classifications rather than directly processing individual user identities. The user information management unit stores and manages user data in a structured manner that allows for targeted advertisement generation while maintaining user privacy through aggregation and classification rather than individual tracking, thus reducing privacy risks while preserving advertisement effectiveness.
Solution Approach 2:
The system changes the parameter of user identification from individual-specific identifiers to aggregated user group characteristics. By analyzing user terminal types, purchase histories, and behavior patterns at a group level rather than individual level, the system generates effective targeted advertisements while minimizing privacy intrusion and data security concerns.
3Measurement precision
If multiple types of user information are acquired and stored, then precise advertisement targeting is achieved, but information storage requirements and processing complexity increase
Solution Approach 1:
The system segments user information into distinct categories: user terminal information (device type, OS version), purchasing behavior information (purchase history, frequency), and advertisement access information (views, clicks). This segmentation allows for efficient storage and processing by organizing data into structured categories rather than storing all information uniformly, reducing overall storage requirements while maintaining analysis precision.
Solution Approach 2:
The system adds a dimensional organization to stored information by classifying users into user groups based on terminal types and creating multi-dimensional data structures. This dimensional organization enables precise user preference analysis through structured queries across different dimensions (device type, purchase behavior, ad interaction) without requiring proportional increases in storage capacity, as the same data serves multiple analysis purposes simultaneously.
Data Source
AI summary
[Problem] To make it possible to give notification of advertisements assumed to be highly effective and verify the effect of the advertisements in consideration of user's statuses and preference tendencies.[Solving Means] An advertisement apparatus includes: means for acquiring user terminal identification information, user identification information, and user terminal record information including position information and operation record information on a user terminal; means for acquiring the user identification information and purchasing behavior information relevant to purchasing of an item/service that are acquired by a shop terminal provided in a real shop; storage means for storing the user terminal identification information, the user terminal record information, the purchasing behavior information, and user attribute information in association with each other by the user identification information; means for generating advertisement information on the basis of an analysis result obtained by analyzing the information stored in the storage means; and notification means for specifying the user terminal identification information and an advertisement application and giving notification of the advertisement information.