Digital Media Campaign Manager Automation
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Solution Overview
Problem
Current methods for implementing digital media campaigns are inefficient, particularly in television and radio advertising, due to manual negotiation, lack of access to scheduling information, and inadequate accounting for consumer preferences, leading to wasted time and revenue opportunities.
Innovation Solution
A system that includes a digital media campaign manager to automate the selection and scheduling of digital advertisements across multiple media platforms, using buyer-side and seller-side interfaces to input criteria, compare attributes, and allocate advertising assets based on temporal and non-temporal parameters, ensuring optimal placement and revenue maximization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual negotiation is used for digital media campaign sales, then flexibility in deal-making is improved, but productivity and time efficiency deteriorate
Solution Approach 1:
The system performs preliminary actions by automatically generating campaign packages and pre-negotiating terms based on buyer criteria before actual sales transactions. This allows the system to prepare multiple scheduling options and pricing structures in advance, maintaining flexibility while reducing the time required for manual negotiation during the actual sales process.
Solution Approach 2:
The automated campaign management system acts as an intermediary between buyers and sellers, handling the negotiation process through algorithmic matching of buyer criteria with available inventory. This intermediary function preserves the flexibility of customized deals while dramatically improving productivity by eliminating repetitive manual negotiation tasks.
2Loss of information
If representatives manually gather and monitor data from multiple systems, then comprehensive campaign information is obtained, but loss of time and efficiency deteriorate
Solution Approach 1:
The system merges multiple data sources and systems into a unified automated platform that consolidates inventory information, scheduling data, and campaign metrics. This integration maintains comprehensive information availability while eliminating the time-consuming manual data gathering process by automatically aggregating data from all connected systems in real-time.
Solution Approach 2:
The system implements continuous feedback loops that automatically monitor and update campaign data across all systems. This feedback mechanism ensures representatives have access to complete, current information without manually querying multiple sources, as the system proactively pushes relevant data updates to the appropriate users and interfaces.
3Productivity
If digital media campaign scheduling is automated, then productivity and time efficiency are improved, but device and system complexity increases
Solution Approach 1:
The automated scheduling system is designed with multi-functionality to handle various campaign types, inventory formats, and scheduling scenarios through a single unified platform. This universality improves productivity by providing comprehensive automation capabilities while managing complexity through standardized interfaces and processes that can be applied across diverse situations without requiring separate specialized systems.
Data Source
AI summary
A method and system for managing digital media campaigns accesses a set of programming data that contains various attributes of media assets that a media service provider will present to users. A media advertising campaign manager receives various criteria for the inclusion of advertisements in a particular entity's advertising campaign. The system uses the attributes in the data set to develop an advertising campaign that satisfies the entity's criteria. In various embodiments, the method system may consider the entity's preferences, seller criteria, and campaign requests for other entities.