Navigation Ad Feedback for Trip-Based Pricing Analytics
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Solution Overview
Problem
Current electronic navigation systems lack the capability to effectively track and analyze the effectiveness of location-based advertisements, limiting their ability to provide performance-based pricing models and advanced analytics for businesses.
Innovation Solution
A system that captures and reports data on user interactions with location-based listings, including trip initiation and completion, to generate metrics such as ad-to-trip conversion rates and cost per delivered guest, enabling advanced analytics and data mining for advertising optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If location-based advertising listings are provided through mobile navigation systems, then user engagement and trip initiation can be tracked, but the capability to effectively track and analyze advertising effectiveness is lacking
Solution Approach 1:
The patent implements comprehensive feedback mechanisms by capturing user interaction data (views, clicks, trip initiations, trip completions) and feeding it back into the advertising system. This enables continuous measurement and optimization of advertising effectiveness through performance metrics and analytics reporting.
Solution Approach 2:
The patent introduces an intermediary advertising effectiveness tracking system that bridges the gap between navigation system operations and advertising performance measurement. This intermediary layer captures, processes, and analyzes user interaction data to generate actionable advertising metrics.
2Productivity
If performance-based pricing models are implemented for location-based listings, then advertising pricing can be optimized, but the system lacks the capability to provide the necessary performance metrics
Solution Approach 1:
The patent replaces traditional flat-fee or impression-based advertising pricing models with performance-based pricing mechanisms. This substitution enables pricing to be directly tied to measurable outcomes such as trip initiations and completions, optimizing advertising spend efficiency.
Solution Approach 2:
The patent changes the pricing parameters from static fees to dynamic performance-based metrics. By tracking and analyzing user interaction data, the system can adjust pricing based on actual advertising performance, enabling more efficient resource allocation.
3Adaptability or versatility
If basic listing inclusion is provided to businesses, then businesses can be located in the navigation system, but advanced analytics and data mining capabilities are not available
Solution Approach 1:
The patent implements a multi-functional advertising analytics system that serves multiple purposes: tracking user interactions, generating performance metrics, enabling data mining, and supporting advanced analytics. This universal system benefits all businesses using location-based listings while providing scalable analytics capabilities.
Data Source
AI summary
Two directional data exchange between a mobile navigation system and a listing system enables pricing models and analytics that are responsive to trips initiated in response to location based listings on the navigation system. The data exchange may include information to present the listing to the user, track whether the user elected to begin navigating to the destination based on that listing, intermediate status as the user progresses towards the destination, and an indication that the user arrived at the location. The data may be used to evaluate the effectiveness of the listing in bringing customers to a physical location associated with the listing. The data may be applied in a performance-based pricing model by which pricing for the listing is based in full or in part on the number of trips initiated and/or completed as a result of the listing.