Targeted Message Validation Using Synthetic Mobile Device Testing
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Solution Overview
Problem
Existing validation methods for targeted messages on mobile computing devices are inadequate, leading to incorrect presentation and reduced efficacy due to factors like device type, location, and user settings, resulting in irrelevant or improperly formatted messages.
Innovation Solution
Automated mobile computing device testing using synthetic devices with varied settings and characteristics to ensure accurate presentation of targeted messages by comparing intended and actual content and format, identifying and correcting errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated testing with synthetic devices is implemented, then message delivery accuracy is improved, but system complexity increases
Solution Approach 1:
The patent creates synthetic mobile devices that are virtual copies or simulations of real mobile devices. These synthetic devices replicate the characteristics, settings, and behaviors of actual devices without requiring physical hardware. By copying device profiles and simulating message rendering, the system achieves comprehensive validation across multiple device types while avoiding the complexity of managing extensive physical device inventories.
Solution Approach 2:
The system performs preliminary validation by proactively identifying and correcting message rendering errors before messages are deployed to real users. Synthetic devices are configured in advance with various device profiles, and messages are tested against these pre-configured devices prior to production release. This preliminary action prevents erroneous messages from reaching actual users, improving delivery accuracy while containing system complexity within the testing environment.
2Reliability
If comprehensive device validation is performed, then message efficacy is improved, but testing time increases
Solution Approach 1:
The patent implements periodic validation by systematically testing messages against multiple synthetic device profiles at scheduled intervals during the message development and deployment process. Rather than continuously testing or testing only at the final stage, the system performs validation at periodic checkpoints - during message creation, before deployment, and potentially during runtime monitoring. This periodic approach ensures message efficacy across diverse devices while controlling total testing time through structured, intermittent validation cycles.
Data Source
AI summary
Systems and methods are provided for using automated mobile computing device testing to ensure that a given targeted message is actually appearing in an intended manner for various types of intended recipients. The intended content or format of a target message to be presented by each of a plurality of mobile computing devices may be based on characteristics of each device. The targeted message may be sent to each device, and an indication of the actual content and/or format of the targeted message as presented by each device may be received and compared to the intended content or format of the targeted message for each device. Errors associated with the targeted message may be detected based on any discrepancies between the intended content and/or format of the targeted message for each device and the actual content or format of the targeted message as presented by each device.