Dynamic Rules Engine for Personalized Deep Link Generation
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Solution Overview
Problem
The challenge in the field of customer engagement and retention is re-engaging inactive users who have shown initial interest but have not been active for a while, known as user churn, which is costly to address and requires effective strategies to bring them back into the fold.
Innovation Solution
A system and method utilizing a dynamic rules engine to generate personalized deep links based on user behavior, preferences, and past interactions, delivered through auto-populated messages, emails, or push notifications, to re-engage inactive users by providing direct access to enticing content or promotions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If generic re-engagement messages are sent to inactive users, then the system complexity is low, but the user engagement and retention rates are poor due to lack of personalization
Solution Approach 1:
The system performs preliminary actions by collecting and storing user interaction data, preferences, and behavioral patterns in advance. This pre-prepared data foundation enables rapid generation of personalized re-engagement content without complex real-time analysis, resolving the contradiction between personalization and system complexity
Solution Approach 2:
The patent introduces an intermediary component (the engagement system with rules engine) that mediates between raw user data and personalized content generation. This intermediary layer processes and structures data beforehand, making the personalization process more manageable and less complex while still delivering adaptive, personalized re-engagement messages
2Measurement precision
If detailed user behavior analysis is performed to create personalized deep links, then user engagement accuracy improves, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary analysis of user behavior patterns and stores segmented user profiles with pre-processed data. When re-engagement is needed, the system retrieves and combines pre-analyzed data segments rather than performing complete behavioral analysis from scratch, maintaining high accuracy while reducing processing time
Solution Approach 2:
The patent segments user behavior data into distinct categories (preferences, interaction patterns, demographic information) that can be independently analyzed and stored. This segmentation allows the system to quickly retrieve and combine only the relevant segments needed for personalized deep link generation, reducing overall processing time while maintaining measurement precision
3Adaptability or versatility
If multiple communication channels are used to reach inactive users, then the re-engagement coverage increases, but the system complexity and coordination requirements increase
Solution Approach 1:
The patent implements a universal engagement system that handles multiple communication channels (SMS, email, push notifications, in-app messages) through a single integrated platform. This multi-functional system manages all channel-specific logistics and coordination internally, allowing the external interface to remain simple while achieving broad re-engagement coverage across diverse channels
Data Source
AI summary
A system and method for dynamic-link initiated user engagement and retention which employs a dynamic rules engine, utilizing a range of engagement rules and device-specific context to generate personalized deep links. As a user interacts with the platform, the rules engine assesses their behaviors, preferences, and past interactions. Leveraging this data, the engine constructs deep links tailored to the user's profile and device attributes. For instance, if an inactive user previously showed interest in a specific product category, the engine might craft a deep link offering an exclusive discount within that category, optimized for the user's device. These deep links are then seamlessly delivered via auto-populated text messages, emails, push notifications, or other channels. By providing direct access to enticing content, promotions, or features, the system re-engages users, enhancing customer retention and fostering active, ongoing engagement.