Adaptive Electronic Notification System with Dynamic Priority Scoring
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Solution Overview
Problem
Existing push notification systems face challenges in effectively capturing user attention due to intrusion overload, difficulty in customization, and limited payload sizes, leading to reduced engagement and increased user opt-outs.
Innovation Solution
A system that generates adaptive electronic notifications by creating item lists with priority scores and lifecycle timers, encoding landing pages with tracking cookies, and dynamically modifying notification content based on user interaction, optimizing content selection and delivery to enhance engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If asynchronous electronic notifications are transmitted frequently to capture user attention, then user engagement may improve, but interruption overload increases causing users to ignore notifications and opt-out
Solution Approach 1:
The system dynamically changes notification parameters including timing, frequency, and content based on user interaction history and engagement metrics. Notifications are scheduled at optimal times when users are most likely to engage, and the content is adapted based on previous responses, thereby improving effectiveness while avoiding overload.
Solution Approach 2:
The system implements feedback loops where user interactions with notifications (clicks, ignores, opt-outs) are tracked and used to adjust future notification strategies. This feedback mechanism allows the system to learn from user responses and optimize notification delivery to maximize engagement while minimizing interruption overload.
2Adaptability or versatility
If notification payload size is increased to include more customized content, then notification relevance improves, but payload size limitations and network restrictions are exceeded
Solution Approach 1:
The notification system segments content into modular components that can be selectively assembled. Instead of transmitting entire customized pages, the system breaks down notification content into smaller elements (headers, images, calls-to-action) that can be efficiently packaged within payload size limits while maintaining customization and relevance.
Solution Approach 2:
The system uses intermediary landing pages as mediators between the notification and the full content experience. The notification payload contains a link to a landing page that hosts the complete customized content, allowing the notification itself to remain compact while still providing access to rich, personalized content through the intermediary page.
3Productivity
If notifications are made more distinctive to stand out from other interruptions, then user attention is captured, but notification complexity and difficulty to distinguish increase
Solution Approach 1:
The system applies local quality by making specific elements of notifications distinctive (such as personalized headlines, relevant images, or targeted calls-to-action) rather than making the entire notification complex. This allows key attention-grabbing elements to stand out while keeping the overall notification structure simple and easy to process.
4Adaptability or versatility
If manual content selection for notifications is performed to ensure relevance, then notification quality improves, but time consumption and difficulty in optimization increase
Solution Approach 1:
The notification system implements self-service by automatically selecting and personalizing content based on user profiles, past interactions, and engagement data. The system autonomously determines which products, categories, and messaging styles are most relevant to each user without requiring manual intervention, thereby maintaining high relevance while eliminating time-consuming manual content selection.
Solution Approach 2:
The system performs preliminary action by pre-processing and organizing content based on user preferences and historical data before notification delivery. User profiles, product recommendations, and messaging templates are prepared in advance, allowing the system to quickly assemble relevant notifications without real-time manual intervention, thus maintaining quality while reducing time loss.
Data Source
AI summary
A system for generating adaptive notifications including processors and memories storing instructions that configure the processors to perform operations. The operations may include generating an item list for notifications to a client ID, selecting a first item from the item list for notification, the first item being selected having a highest priority score and a lowest lifecycle timer, encoding a first landing page by encoding a product code and a tracking cookie in a URL configured for redirection to a first webpage by a redirect server, and transmitting a first notification with a payload including the first landing page and a first message. The operations may also include after transmitting the first notification, modifying priority scores and updating lifecycle timers based on determining whether the client device visited the first landing page. Further, the operations may also include selecting a second item from the item list for notification.