Contextual Ad Platform for Mobile Device Timing
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Solution Overview
Problem
Current systems for mobile devices lack an efficient method to determine when to prompt actions, such as displaying advertisements, based on user-specific criteria and application information, leading to intrusive or irrelevant content delivery.
Innovation Solution
A system and method that utilize a contextual advertisement management platform to receive and analyze action criteria and application information, determining optimal times and contexts for presenting targeted content, including advertisements, to users on mobile devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content is delivered frequently to mobile devices, then advertising reach is improved, but user annoyance increases
Solution Approach 1:
The system dynamically adjusts content delivery parameters including timing, frequency, and context based on user behavior patterns, device state, and environmental factors. This transforms static advertising schedules into adaptive delivery mechanisms that optimize reach while minimizing annoyance.
Solution Approach 2:
The system implements feedback loops that monitor user interactions, engagement metrics, and annoyance signals to continuously refine content delivery decisions. User responses to previous content deliveries inform future delivery strategies, creating a self-adjusting system that balances reach and user experience.
2Productivity
If personalized content is delivered based on user criteria, then engagement is improved, but system complexity increases
Solution Approach 1:
The system segments users into groups based on shared criteria such as demographics, behavior patterns, and preferences. This segmentation enables personalized content delivery without requiring complex individual analysis for each user, simplifying the overall system architecture while maintaining engagement effectiveness.
Solution Approach 2:
The system introduces intermediary processing layers including profile databases, behavior analysis modules, and content matching algorithms that mediate between raw user data and content delivery decisions. These intermediaries abstract complexity while enabling sophisticated personalization.
Data Source
AI summary
A system, method, and computer program product are provided for determining whether to prompt an action by a platform in connection with a mobile device. In operation, action criteria is received utilizing a platform capable of advertising. Additionally, information from an application is received by the platform. Further, it is determined whether to prompt an action by the platform in connection with a mobile device, based on the action criteria and the information.