Behavioral Analysis Device for Targeted Ad Distribution
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Solution Overview
Problem
Existing user behavioral targeting advertising technologies face challenges in effectively promoting visits to specific places, as they rely on explicit behaviors and registered schedules, leading to a lack of information and potential misalignment with user interests.
Innovation Solution
A behavioral analysis device and method that acquires and analyzes user terminal location history and operation behavior data to identify tendencies related to designated locations, enabling targeted advertisement distribution to users who have shown interest or behavior patterns associated with those locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advertisement information is distributed based on explicit user behaviors and registered schedules, then the targeting precision is improved, but the coverage of user interest is reduced due to lack of information on unconscious or unregistered behaviors
Solution Approach 1:
The system performs preliminary analysis of terminal location information and operation information to identify users who may be interested in a place before explicit behavioral indicators are generated. By analyzing location patterns and operational behaviors in advance, the system proactively identifies potential user interests that have not yet been explicitly expressed through registered schedules or conscious actions.
Solution Approach 2:
The system uses terminal location information and operation information as intermediary data to infer user interest in places. These intermediaries serve as indirect indicators that bridge the gap between unobservable unconscious interests and actionable advertising targeting, allowing the system to identify user interests without requiring explicit user input or registered schedules.
2Reliability
If the system relies on registered schedules and explicit behaviors for advertisement targeting, then the data quality is improved, but the quantity of targetable users is reduced
Solution Approach 1:
The system enables unconscious or unregistered user behaviors to serve themselves as targeting indicators. By automatically analyzing terminal location information and operation information without requiring user registration or explicit behavioral expressions, the system allows passive data to actively contribute to advertising targeting, thereby expanding the pool of targetable users while maintaining data reliability.
Solution Approach 2:
The system changes the parameters used for targeting from explicit, user-provided data (registered schedules) to implicit, system-collected data (terminal location information and operation information). This parameter transformation enables the system to target users based on their actual behavioral patterns rather than their registered preferences, significantly expanding the number of targetable users while maintaining or improving data quality.
3Measurement precision
If the system analyzes only explicit user behaviors, then the analysis accuracy is improved, but the ability to identify unconscious interests is reduced
Solution Approach 1:
The system adds a new dimension to behavioral analysis by incorporating terminal location information and operation information alongside traditional explicit behavior data. This multi-dimensional approach allows the system to analyze both conscious and unconscious user interests simultaneously, maintaining accuracy in explicit behavior analysis while gaining the ability to identify unconscious interests through location and operational patterns.
Data Source
AI summary
A behavioral analysis device acquires designated location information regarding a location of a place designated in advance. The behavioral analysis device acquires a history of terminal location information regarding a location of terminal, user identification information associated with the terminal location information, and a history of operation information indicating at least one operation behavior taken through at least one terminal operation of a user having the identification information. The behavioral analysis device identifies identification information associated with the terminal location information being substantially the same as the designated location information, and outputs tendency information indicating a tendency of at least one operation behavior taken by a user having the identified identification information and taken before a time when a terminal is located at a location indicated by the terminal location information substantially the same as the designated location information, for distribution of information regarding the place designated in advance.