Omnichannel Ad Testing via Real-Time Media Stream Analysis
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Solution Overview
Problem
Businesses face suboptimal customer communication experiences across channels, leading to delayed assistance and potential loss of sales due to the lack of an integrated omnichannel communication system that optimizes text-based interactions.
Innovation Solution
A system comprising a multi-platform adaptive ad campaign manager, dynamic advertisement engine, and omnichannel text-based communicator that tests advertisement variants, establishes real-time media streams, and analyzes data to determine effective communication methods, suggesting alterations for improved performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional call center systems and human resources are used for customer communication, then customer service coverage is provided, but communication delays and suboptimal customer experience occur
Solution Approach 1:
The patent introduces an AI-powered virtual assistant as an intermediary between customers and human agents. This virtual assistant handles initial customer inquiries, provides instant responses, and routes complex issues to appropriate human resources, thereby eliminating communication delays while maintaining service quality and productivity.
Solution Approach 2:
The system performs preliminary actions by pre-processing customer inquiries through AI analysis before human agents intervene. The virtual assistant gathers customer information, categorizes issues, and prepares context summaries in advance, enabling human agents to handle only complex cases efficiently, thus reducing overall communication time while improving productivity.
2Adaptability or versatility
If generic communication modes are offered across multiple channels, then broad customer coverage is achieved, but contextualized customer experience is lost
Solution Approach 1:
The patent implements a universal AI-powered virtual assistant that operates across multiple communication channels (phone, email, chat, social media) with consistent contextual understanding. The system maintains a unified customer profile and conversation history that follows the customer across channels, enabling adaptable omnichannel communication while preserving complete customer context information.
Solution Approach 2:
The system continuously collects and analyzes customer interaction data across all channels, using this feedback to refine contextual understanding and personalize communication. The AI learns from each interaction to improve future responses, ensuring that customer context is maintained and enhanced across the omnichannel environment rather than lost.
3Ease of operation
If customers navigate multiple screens and options for assistance, then various service options are available, but interaction complexity and time increase
Solution Approach 1:
The patent empowers customers with AI-driven self-service capabilities where the virtual assistant proactively understands customer needs, presents relevant solutions, and guides customers through resolution without requiring manual navigation of multiple screens or options. The system autonomously gathers information, diagnoses issues, and provides resolutions, making interactions simple and rapid while maintaining ease of operation.
4Measurement precision
If advertisement variants are tested across multiple channels, then comprehensive performance data is collected, but system complexity increases
Solution Approach 1:
The patent merges multiple advertisement testing functions and data collection mechanisms into a unified AI-powered platform. The system consolidates A/B testing, multivariate testing, and attribution tracking across all channels into a single integrated system that automatically manages variant deployment, collects performance data, and generates insights, thereby achieving precise measurement without proportionally increasing system complexity.
Data Source
AI summary
A system and method for multi-channel dynamic advertisement testing. The system comprises a multi-platform adaptive ad campaign manager, a dynamic advertisement engine, a campaign database, and an omnichannel text-based communicator. The system receives customer interactions with two advertisement test variants, establishes a real-time media stream between a customer device and a second user device, and monitors the media stream to collect data related to effectiveness of the advertisement variants. The system may analyze media stream data together with a plurality of other data types to statistically determine which of the two advertisement variants resulted in better performance based on a variety of advertisement metrics. The system may use the plurality of data and the statistical analysis to suggest an advertisement element to be altered in the next round of advertisement variant testing. This system can combine data collection and analytics for an ad campaign together into one system.