Branded Caller Identity Display Optimization Across Devices
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Solution Overview
Problem
Modern communication technologies have led to increased spam and undesirable interactions, making it challenging for businesses to effectively engage consumers through telephone calls, as consumers are less likely to answer calls due to lack of engaging branding and trust issues.
Innovation Solution
A system utilizing a Display Optimization Policy Engine that selects branding information and communication channels based on inputs from enterprises, consumer devices, and real-time data to optimize the display of branding elements on consumer communication devices during calls, considering factors like device capabilities, consumer preferences, and channel characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional audio-only communication is used, then communication simplicity is maintained, but consumer engagement and trust are insufficient
Solution Approach 1:
The patent transitions from traditional audio-only communication to a multi-dimensional communication experience by adding visual branding elements (logos, images, videos) to the Caller ID display. This dimensional enhancement allows consumers to see brand information alongside the call, creating engagement without requiring complex interactive features during the call itself.
Solution Approach 2:
The system pre-renders and displays branding information on the Caller ID before the actual call connects. This preliminary visual presentation gives consumers advance notice of the brand identity, building trust and recognition before the audio conversation begins, thereby improving engagement without adding complexity to the call itself.
2Adaptability or versatility
If branding information is displayed on Caller ID, then consumer engagement and trust are improved, but display optimization complexity increases
Solution Approach 1:
The system dynamically adjusts display parameters such as logo size, image resolution, video duration, and content type based on device capabilities and consumer preferences. By automatically optimizing these parameters, the system achieves versatile branding displays without requiring manual configuration or complex user interaction.
Solution Approach 2:
The display optimization system operates autonomously by automatically selecting appropriate branding content and adjusting display parameters based on detected device capabilities and consumer preferences. This self-service approach eliminates the need for complex manual setup while maintaining high adaptability across different devices and scenarios.
3Productivity
If multiple communication channels are used, then delivery effectiveness is improved, but channel selection complexity increases
Solution Approach 1:
The system continuously monitors consumer interaction with branding displays and call outcomes, using this feedback to optimize future channel selections and content delivery. By learning from consumer behavior patterns, the system automatically identifies the most effective channels and messaging approaches, improving delivery effectiveness without requiring complex manual channel management.
Data Source
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AI summary
Disclosed herein are systems and methods for providing optimal branded content to end consumers. The approach takes into account the different available branded display contents that are available, the different metrics that can drive choices, the technological parameters that can influence the provisioning of the branded display content. In addition, the preferences of the end consumer may also influence the provisioning of the branded display content. Replace caller identified with brand information.