Dynamic Content Generator Selection for Electronic Communications
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Solution Overview
Problem
Current methods for generating electronic communications are inefficient and lack flexibility, leading to ineffective marketing and reduced promotion sales due to static templates that fail to adapt to changing market realities and consumer preferences.
Innovation Solution
A method and apparatus for dynamically selecting content generators based on user parameters and promotion and marketing service statistics, using a processor to determine the best content generators for each content slot, and scoring them based on selection parameters and bids.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static templates are used for generating electronic communications, then device complexity is reduced and ease of manufacture is improved, but adaptability to changing market realities and consumer preferences deteriorates
Solution Approach 1:
The system transitions from static templates to dynamic content generation by implementing multiple content generators (promotion content generators and non-promotion content generators) that can adaptively select and generate content based on real-time parameters such as user characteristics, promotion inventory levels, historical sales data, and business unit incentives. This dynamic approach allows the electronic communication to automatically adjust to changing market conditions and consumer preferences.
Solution Approach 2:
The system utilizes multiple selection parameters including user parameters (demographics, behavior, preferences) and system parameters (promotion inventory level, historical promotion sales, promotion business unit incentives) to dynamically determine which content generators to apply. By changing these parameters in real-time, the system achieves high adaptability without requiring complex manual reconfiguration of templates.
2Productivity
If dynamic content generation with multiple content generators is implemented, then adaptability and marketing effectiveness are improved, but device complexity and computational requirements increase
Solution Approach 1:
The content generation system is segmented into distinct promotion content generators and non-promotion content generators, each specialized for specific types of content. This segmentation allows the system to manage complexity by dividing the generation task into manageable modules while maintaining high productivity through specialized content generation for different marketing objectives.
Solution Approach 2:
The system employs an intermediary selection mechanism that scores and selects appropriate content generators based on multiple parameters. This intermediary layer manages the complexity of coordinating multiple content generators by automatically evaluating them against selection parameters and choosing the most appropriate ones, thereby maintaining high marketing efficiency without requiring manual management of the complex system.
3Measurement precision
If scoring and selection of content generators based on multiple parameters is performed, then marketing targeting precision is improved, but computational time and processing requirements increase
Solution Approach 1:
The system performs preliminary scoring of content generators based on pre-established selection parameters and criteria. By pre-defining the scoring mechanism and selection parameters (user parameters, system parameters), the system can quickly evaluate and select appropriate content generators without performing complex real-time analysis, thus maintaining high targeting precision while reducing generation time.
Data Source
AI summary
A method, apparatus, and computer program product are disclosed to improve generation of electronic communications. The method may provide a plurality of content slots each configured to receive content, the content comprising at least one of promotion content or non-promotion content. The method may also include maintaining a database comprising a plurality of promotion content generators and non-promotion content generators, and determining, using a processor, one of the plurality of promotion content generators or non-promotion content generators for respectively supplying corresponding promotion content or non-promotion content to each of the plurality of content slots. The determining the one of the plurality of promotion content generators or non-promotion content generators may include determining selection parameters, and scoring the plurality of promotion content generators and non-promotion content generators based at least in part on the selection parameters.


