Context Awareness Engine for Targeted Messaging
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Solution Overview
Problem
The increasing volume of mobile advertisements leads to subscriber indifference, necessitating a method to effectively discriminate between ads to send and ads not to send, thereby differentiating the advertising industry.
Innovation Solution
A method involving a context awareness engine that determines profiling criteria and advertisement timing, sending targeted messages to subscribers whose user data match the criteria, and repeating this process as user data changes during an advertising campaign.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the volume of mobile advertisements is increased to capitalize on subscriber attention, then advertising reach is improved, but subscriber indifference increases and ad effectiveness deteriorates
Solution Approach 1:
The patent applies local quality by segmenting the subscriber base into distinct profiles with specific characteristics (demographics, interests, behavior patterns). Each profile receives advertisements tailored to its specific attributes rather than a uniform approach. The system analyzes individual user data including location, browsing history, and purchase behavior to deliver locally optimized ads to each subscriber segment, thereby maintaining effectiveness even as overall ad volume increases.
Solution Approach 2:
The patent implements segmentation by dividing the homogeneous mass of subscribers into heterogeneous profile groups based on multiple criteria including age, gender, location, interests, and behavioral patterns. This segmentation allows the system to apply different advertising strategies to different segments, preventing the uniform ad approach from causing subscriber indifference. The context awareness engine continuously refines these segments as new user data becomes available.
2Quantity of substance
If advertisements are sent to all subscribers to maximize reach, then coverage is improved, but resource waste increases due to sending irrelevant ads to non-target users
Solution Approach 1:
The patent applies preliminary action by pre-segmenting subscribers into profiles and pre-determining which advertisement campaigns are appropriate for each profile before actual ad delivery. The context awareness engine continuously updates profile information and ad campaign matching in advance, so that when an advertisement is to be sent, the system already has a prepared list of target subscribers. This eliminates the need to send ads to all subscribers and then filter out non-target users, thereby reducing resource waste while maintaining comprehensive reach to all relevant users.
3Measurement precision
If advertisement timing is delayed to wait for user data changes, then targeting precision is improved, but response time deteriorates
Solution Approach 1:
The patent implements feedback through the context awareness engine that continuously monitors user data changes and automatically triggers profile updates and ad campaign re-evaluations. When user behavior, location, or preferences change, the system receives feedback about these changes and responds by adjusting the subscriber's profile and re-matching appropriate advertisements. This continuous feedback loop maintains high targeting precision without requiring manual delays, as the system automatically adapts in real-time to user data changes.
Data Source
AI summary
A method, computer apparatus and non-transitory computer-readable storage medium implementing a method for sending targeted promotional messages to subscribers to a telecommunications service for execution by at least one network element of a service provider. The at least one network component determines profiling criteria and an advertisement timing associated with an advertising campaign. The at least one network component consults a context awareness engine that stores time-varying user data for a plurality of subscribers. At a time which satisfies the advertisement timing, the at least one network component sends a message to a subscriber whose user data match the profiling criteria. The at least one network component repeats the steps of consulting and sending after a change in the user data has occurred during the advertising campaign.