Targeted Notification Delivery via Third-Party App Integration
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Solution Overview
Problem
Current systems for sending notifications require significant data storage and processing capacity, especially when targeting specific users, and there is a need for a more efficient method to reduce these resources without affecting user actions.
Innovation Solution
A system that determines user profiles based on input information, provides targeted supplemental resources through third-party applications, and transmits notifications via a communication link to mobile devices, reducing storage and processing needs by focusing on specific user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If notifications are sent to all users, then user coverage is maximized, but data storage and processing capacity requirements increase significantly
Solution Approach 1:
The patent segments the user base into distinct groups based on user profiles, device types, and interaction contexts. Instead of sending notifications to all users universally, the system divides notifications into targeted segments (e.g., mobile users vs. desktop users, different user preferences, specific interaction contexts), thereby reducing the overall quantity of data that needs to be stored and processed while maintaining effective notification delivery to relevant users.
2Quantity of substance
If targeted notifications are sent to specific user subsets, then data storage and processing capacity is reduced, but notification effectiveness must be maintained
Solution Approach 1:
The system performs preliminary actions by pre-determining user profiles, device characteristics, and interaction contexts before notification delivery. User profiles are established in advance based on historical data and preferences, and notification targeting criteria are pre-configured. This preliminary segmentation and profiling enables the system to efficiently identify relevant user subsets without compromising notification effectiveness, as the targeting logic is already in place before the notification campaign executes.
Solution Approach 2:
The patent incorporates feedback mechanisms that monitor user responses to notifications and continuously refine targeting accuracy. By tracking which users engage with notifications and how they interact with them, the system learns and adjusts its segmentation criteria, ensuring that targeted notifications remain effective while continuing to reduce data requirements. This feedback loop maintains reliability by constantly optimizing the match between notifications and relevant users.
3Productivity
If notifications are embedded within third-party applications, then user engagement increases, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary layer that sits between the notification system and third-party applications. This intermediary handles the complex tasks of profile matching, device type identification, and notification injection into appropriate application contexts. By using this mediator component, the system achieves high user engagement through seamless integration with third-party apps while containing complexity within the intermediary layer rather than spreading it throughout the entire system architecture.
Data Source
AI summary
Embodiments of the present invention provide a system for transmitting data between networked resources. Information about a managing entity's supplemental resource is identified, where the supplemental resource supplements a set of resources associated with a user in response to a determination that a particular interaction has occurred. The supplemental resource is then determined to be associated with a third party entity's application on a computing device of the user. The third party application is adjusted by the managing entity to display a selectable notification of the supplemental resource within the third party application. Once the selectable notification is selected, the managing entity approves the supplemental resource for future use by the user. Once the particular interaction associated with the supplemental resource has occurred, the supplemental resource is applied to the set of resources at a later point in time.