Semantic Messaging Synthesis for Automated Advertising Context
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Solution Overview
Problem
Current advertising processes are complex and time-intensive, particularly in online advertising, which excludes small businesses and individuals due to the need for professional expertise in market analysis, segmentation, messaging, and campaign management, and lacks a technique for discovering optimal market segmentation and generating relevant relationships between advertisers' content and individual consumers.
Innovation Solution
A computer network-based method and system that synthesizes relevant messaging using consumer-generated context, by obtaining non-promoted content, linking it to promoters, and semantically analyzing and synthesizing messaging based on consumer interaction information, enabling automated advertising processes without the need for advertisers to create multiple versions of advertisements for different consumer contexts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advertisers manually create and manage multiple versions of advertisements for different consumer contexts, then messaging relevance is improved, but device complexity and time consumption increase significantly
Solution Approach 1:
The system enables automated self-service advertising where the platform automatically analyzes consumer context, selects relevant advertisements, and delivers personalized messaging without requiring advertiser intervention for each consumer context. The system serves itself by autonomously performing market analysis, segmentation, and campaign management tasks.
Solution Approach 2:
Manual mechanical processes of advertisement creation and management are replaced with automated computational systems. The platform uses algorithms to automatically perform market analysis, consumer segmentation, messaging optimization, and campaign management, substituting human expert labor with automated digital processes.
2Reliability
If advertisers hire professional expertise for market analysis and campaign management, then advertising effectiveness is improved, but cost increases exclude small businesses
Solution Approach 1:
The advertising platform provides universal access to professional-grade advertising capabilities for all users regardless of business size. The system consolidates multiple specialized functions (market analysis, segmentation, messaging, campaign management) into a single unified platform that serves diverse advertisers at standardized pricing, eliminating the need for small businesses to hire expensive specialized expertise.
3Measurement precision
If advertisers perform comprehensive market analysis and segmentation manually, then targeting precision is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary automated market analysis and consumer segmentation before advertising campaigns begin. By pre-processing market data and establishing consumer segments in advance, the system eliminates the need for advertisers to perform time-consuming manual analysis during campaign execution, enabling rapid deployment of targeted advertisements.
Solution Approach 2:
Manual market research and consumer analysis processes are replaced with automated computational systems that rapidly process large datasets. The platform uses algorithms to automatically analyze market conditions, consumer behavior patterns, and segmentation criteria, delivering targeting precision that would be impossible to achieve manually within reasonable timeframes.
4Measurement precision
If advertisers create customized messaging for each consumer segment, then messaging relevance is improved, but productivity decreases due to repetitive manual work
Solution Approach 1:
The system automatically segments consumers into distinct groups based on analyzed characteristics and behaviors. By dividing the market into predefined segments, the platform enables efficient creation of targeted messaging for each group without requiring manual customization for every individual consumer, maintaining relevance while improving productivity through systematic segmentation.
Solution Approach 2:
The system creates templates and reusable messaging components that can be automatically copied and adapted for different consumer segments. Instead of manually crafting unique messages for each segment, advertisers can use standardized templates that are automatically customized based on segment characteristics, dramatically reducing repetitive manual work while maintaining segment-specific relevance.
Data Source
AI summary
The present invention provides a computer network implementable integration of promoted information with non-promoted content before a consumer interaction with the network, such that when the consumer interacts with the network, a consumer information interacts with this integrated content and delivers a message to the consumer such that the consumer visualizes this message as part of consumer experience without distracting from the network interaction task at hand. The integration is facilitated by semantic analysis and synthesis to naturally position the promoted content as close to the consumer interaction tasks as possible at that instant. This approach displaces the current practise of matching message to media placement while further enabling a promoter to evaluate and respond to feedback data depicting the efficacy of the sponsor message. The network in question is any computer network such as the Internet or intranet.