Generic Message Injection Platform for Dynamic Advertising Adaptation
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Solution Overview
Problem
Current advertising systems fail to rapidly adapt messages and their recipients in response to changing market conditions across various electronic channels, limiting their effectiveness.
Innovation Solution
A generic message injection platform that uses a system architecture with a master module, message queue, worker modules, and channel processors to create and send messages dynamically across multiple channels, such as email, social networking messages, and SMS, allowing for real-time updates in message content and recipients based on generic configuration data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a traditional advertising system is used, then message delivery is straightforward, but the system cannot rapidly adapt messages and recipients in response to changing market conditions
Solution Approach 1:
The system divides the advertising platform into independent modular components: message templates, recipient lists, channel processors, and configuration files. Each component can be independently modified without affecting others, enabling rapid adaptation to market changes while maintaining manageable system complexity through clear separation of concerns.
Solution Approach 2:
The system implements dynamic configurability where message content, recipient selections, and delivery parameters can be changed in real-time based on market conditions. Configuration files allow runtime adjustments without system reconfiguration, and the architecture supports dynamic addition or removal of communication channels as business needs evolve.
2Productivity
If message content and recipients are fixed in advance, then system operation is simple, but advertising effectiveness decreases when market conditions change
Solution Approach 1:
The system pre-prepares message templates with placeholder variables for personalization, and pre-segments recipient lists into manageable groups. This preliminary structuring allows rapid message generation when market conditions change, as the system only needs to populate templates with updated data rather than creating messages from scratch.
Solution Approach 2:
The system enables rapid message updates by changing parameters in configuration files rather than modifying message content directly. Market conditions trigger parameter changes (such as promotional offers, timing, or recipient segments) that automatically propagate through the system, enabling fast adaptation without manual message rewriting.
3Adaptability or versatility
If multiple electronic channels are supported, then advertising reach is expanded, but system complexity increases
Solution Approach 1:
The system implements a universal message template structure that can be adapted to multiple communication channels (email, SMS, push notifications, social media). A single template design with channel-specific processors handles different delivery mechanisms, allowing the system to support multiple channels without proportionally increasing overall complexity through standardized interfaces.
Solution Approach 2:
The system introduces channel processors as intermediary components that translate universal message templates into channel-specific formats. These intermediaries handle the complexity of different communication protocols and requirements, allowing the core system to remain simple while supporting diverse channels through standardized mediation layers.
Data Source
AI summary
Systems and related methods providing for dynamic message creation are discussed herein. Circuitry may be configured receive generic configuration data that references work chunks for message generation and time data indicating a message send time. The work chunks may include references to message data, but not the actual message data. Based on the time data, the work chunks may be placed in a message queue. Circuitry may also be configured to retrieve a work chunk from the message queue and to generate one or more messages based on the retrieved work chunk. The references to message data in the work chunk may be used to retrieve the message data at the time of message generation.