Smart Device Digital Ad Tag Analytics Automation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for creating and optimizing voice-enabled smart connected device advertisements lack automation, requiring custom software development and expertise, which is time-consuming and inefficient, especially for analyzing effectiveness and making real-time adjustments based on audience demographics and time of day.
Innovation Solution
A system and method for executing interactive digital ad tags with embedded voice applications on smart connected devices, including a tracking URL that sends data to an analytics server for analysis, allowing for quick optimization and follow-up actions based on listener inputs, without the need for custom software development.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If custom software development is used to create advertisements for voice-enabled smart connected devices, then the advertisements can be tailored to specific requirements and specifications, but the process becomes time-consuming and requires specialized expertise
Solution Approach 1:
The patent uses templates as pre-designed copies of advertisement structures that can be replicated and customized. Instead of creating software from scratch each time, the system provides reusable template frameworks that capture common advertisement patterns, reducing development time while maintaining customization capability through parameter adjustment
Solution Approach 2:
The advertisement creation process is divided into separate modular components including templates, parameters, and customization layers. This segmentation allows different parts of the advertisement to be developed, tested, and optimized independently, then assembled into complete advertisements, reducing overall development complexity and time
2Manufacturing precision
If custom software coding is used to optimize advertisements based on analytics data, then precise optimization can be achieved, but the process elongates the time needed for advertisement optimization
Solution Approach 1:
The system enables self-service optimization where the advertisement templates automatically adjust based on analytics feedback without requiring manual software coding. The templates include built-in logic that processes analytics data and automatically modifies advertisement parameters, allowing non-programmers to achieve precise optimization through configuration rather than coding
Solution Approach 2:
The optimization process is accelerated by performing preliminary setup work in advance. Templates are pre-configured with optimization logic and parameter structures, so when analytics data becomes available, the system can immediately apply optimizations without needing to write or compile custom code at that moment
3Measurement precision
If manual analysis and adjustment processes are used for advertisement effectiveness, then detailed analysis can be performed, but the turnaround time for implementing changes is extended
Solution Approach 1:
The system implements automated feedback loops where analytics data from advertisement performance is continuously collected, analyzed, and fed back into the template system. This automated feedback mechanism enables precise measurement of advertisement effectiveness while simultaneously triggering automatic adjustments, eliminating the delay between analysis and implementation that plagues manual processes
Data Source
AI summary
The present disclosure describes a method and a system of providing analytics for interactive digital ad tags, executing the digital ad tags on a smart connected device, and gathering data regarding the execution of the digital ad tags for an analytics server. The method includes receiving, by the smart connected device, the digital ad tags, where each digital ad tag includes a tracking uniform resource locator (URL), where the digital ad tags are received from a digital ad server. The method further includes activating the tracking URL to provide a link to the analytics server, and sending digital tag instance data to the analytics server through the link. The method further includes receiving listener inputs as a voice application instance data and sending the voice application instance data to the analytics server through the link. The digital tag instance data and voice application instance data is analysed through analytics processes.