Ensemble-Based Campaign Message Management for Diverse Selection
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Solution Overview
Problem
Existing systems for generating and managing digital marketing campaign messages lack diversity, efficiency, and performance insights, often relying on manual reviews and lacking standardized selection processes, which are time-consuming and do not provide tailored experiences for specific business marketers.
Innovation Solution
An automated system that generates, classifies, and manages campaign messages via an ensemble model, using logic-rule and language models to predict characteristic tags, filters for quality and relevance, and sorts messages based on diversity preference rules, ensuring fresh and diverse content is presented to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual reviews and voluntary user submissions are used to select message examples, then message quality can be maintained, but the process becomes time-consuming and low-efficient
Solution Approach 1:
The system enables marketers to automatically generate and personalize campaign messages using AI technology. The platform provides self-service capabilities where users can input basic information and the system automatically generates optimized messages, eliminating the need for manual review processes while maintaining high message quality through algorithmic optimization.
Solution Approach 2:
The patent replaces manual mechanical review processes with an automated AI-based system. The ensemble model comprising multiple language models and logic-rule models automatically evaluates, generates, and optimizes campaign messages, substituting human manual review with computational algorithms that process messages at scale without time constraints.
2Quantity of substance
If existing example providers are used, then some message examples are available, but they lack diversity and do not provide tailored experiences for specific business marketers
Solution Approach 1:
The system provides locally optimized message examples tailored to specific business needs, industries, and campaign objectives. Rather than providing generic examples, the AI generates customized message templates and recommendations based on the specific characteristics and requirements of each marketer, ensuring local quality and relevance for diverse business contexts.
Solution Approach 2:
The platform dynamically adapts message examples based on real-time data, user preferences, and campaign performance metrics. The system continuously learns and adjusts the diversity and relevance of message examples provided to different marketers, making the content dynamic and adaptable rather than static and one-size-fits-all.
3Reliability
If standardized selection processes with quality control are implemented, then message quality improves, but the process complexity increases
Solution Approach 1:
The system implements a universal quality control framework that handles multiple message types, languages, and campaign scenarios through a single standardized process. The ensemble model and evaluation metrics serve as multi-functional tools that maintain quality across diverse message contexts without requiring separate complex processes for each message type or scenario.
4Productivity
If automated processes are used to generate campaign messages, then efficiency improves, but the need for diverse and relevant content becomes more challenging
Solution Approach 1:
The system uses an ensemble model that combines multiple language models and logic-rule models to generate diverse and relevant campaign messages. This composite approach integrates different AI technologies with complementary strengths, where each model contributes unique capabilities to ensure both efficiency in generation and diversity in output, similar to how composite materials combine different substances to achieve superior properties.
Data Source
AI summary
Methods and systems for improved and efficient campaign message management are disclosed. Via an automated process, the system can generate, classify and sort a browsable collection of diverse, high-performing campaign messages, e.g., emails and SMS messages. Such messages can prompt a prospective campaign generator to create quality content for his/her own campaigns. Furthermore, varied and relevant exemplary campaigns can be shown to different users in response to his/her unique needs or expressed interests.