Data Processing Apparatus for Advertising Campaign Targeting
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Solution Overview
Problem
Existing advertising campaign planning methods often misalign the intended recipient image with the actual recipient image due to the diversification of recipient profiles, particularly with the spread of social networks, leading to inefficiencies in targeting and campaign effectiveness.
Innovation Solution
A data processing apparatus and method that communicates with supplier and recipient devices to analyze and generalize advertising campaign information, derive target models representing both supplier and recipient images, and determine a target model for the advertising campaign based on actual recipient characteristics, ensuring alignment and effective campaign planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertising campaigns are planned based on supplier's assumed recipient image, then campaign planning can be conducted efficiently, but the recipient image may misalign with actual recipients leading to reduced campaign effectiveness
Solution Approach 1:
The system collects actual recipient information from recipient terminals and feeds it back to the server. The server compares this actual information with the assumed recipient image to derive both supplier target models and recipient target models, enabling continuous improvement of targeting accuracy based on real-world feedback data.
Solution Approach 2:
The server derives recipient target models in advance by collecting and analyzing recipient information before campaigns are executed. This preliminary derivation of accurate recipient models based on actual data allows campaigns to be planned with better alignment from the outset, rather than relying solely on assumptions.
2Measurement precision
If recipient information is collected and analyzed to derive accurate target models, then recipient image alignment improves, but system complexity and data processing requirements increase
Solution Approach 1:
The server performs multiple functions: collecting recipient information, deriving recipient target models, deriving supplier target models, comparing models to determine alignment, and providing feedback to terminals. This multi-functional approach consolidates complexity into a single central system rather than distributing it across multiple components.
Solution Approach 2:
The server acts as an intermediary between suppliers and recipients. It collects recipient data, processes it to derive target models, and provides processed information back to suppliers. This intermediary role simplifies the overall system architecture by centralizing data processing and model derivation in a single mediating component.
Data Source
AI summary
According to an embodiment, a data processing apparatus generalizes an element described in advertising campaign information and derives a first target model representing a recipient image. The data processing apparatus generates, on the basis of an attribute and an action history of a recipient collected from the recipient, recipient information indicating a characteristic of each attribute of the recipient and derives, for each attribute, a second target model representing a recipient image. Further, the data processing apparatus determines a target model who is a target of the advertising campaign.