Advertising Campaign Collaboration System for Real-Time Data Sharing
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Solution Overview
Problem
Current digital marketing strategies lack an integrated solution for real-time data monitoring and sharing across multiple media channels, leading to inefficient resource allocation and reduced advertising performance.
Innovation Solution
A method and system for supporting collaboration in advertising campaigns by acquiring data from multiple media channels and sharing it in real-time among stakeholders, utilizing a data acquisition unit and a data sharing management unit within an advertising campaign collaboration support system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital marketing is conducted across multiple media channels, then marketing coverage and reach are improved, but data management complexity and resource investment increase
Solution Approach 1:
The patent merges data from multiple media channels into a unified data structure that can be accessed by all stakeholders through a common interface. The system consolidates campaign data, media data, and stakeholder information into an integrated platform, eliminating the need for separate data management systems for each channel.
Solution Approach 2:
The patent creates a universal data management platform that serves multiple functions: data collection from various channels, real-time monitoring, sharing among stakeholders, and collaborative decision-making. This single system handles diverse data types and user roles, replacing multiple specialized systems.
2Productivity
If real-time data sharing among multiple stakeholders is implemented, then communication efficiency and collaboration are improved, but system complexity and resource requirements increase
Solution Approach 1:
The patent introduces a central server as an intermediary that manages data sharing among stakeholders. The server acts as a mediator that receives data from media channels, processes it according to stakeholder roles and permissions, and distributes relevant information to appropriate users, simplifying the complexity of direct peer-to-peer data sharing.
Solution Approach 2:
The patent segments the system into distinct functional modules: data acquisition from media channels, data processing and integration, stakeholder authentication and authorization, and data distribution. This modular architecture manages complexity by dividing the system into manageable, independent components that can be developed and maintained separately.
3Loss of information
If comprehensive data monitoring across multiple channels is performed, then marketing performance visibility is improved, but resource consumption and processing requirements increase
Solution Approach 1:
The patent implements partial data collection and processing by focusing on specific key performance indicators and relevant data points for each campaign type. Rather than monitoring every possible parameter across all channels, the system selectively collects and processes only the most critical data needed for decision-making, reducing overall resource consumption.
Data Source
AI summary
A method for supporting collaboration for an advertisement campaign is provided. The method includes the steps of: acquiring data associated with a campaign executed on at least one medium; and causing at least a part of the acquired data to be shared with users belonging to at least one group associated with the campaign.