Redirection Link Profiling for Geo-Targeted Storefront Routing
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Solution Overview
Problem
Existing redirection services struggle to efficiently direct users to the appropriate international storefronts for purchasing digital products, leading to errors and lost sales due to geo-fragmentation, currency differences, and lack of proper affiliate credit, especially with diverse devices and operating systems.
Innovation Solution
A redirection service that geo-targets, translates, and affiliates links to ensure they direct users to the correct international storefronts, considering device type, operating system, and location, while managing affiliate parameters and generating customized links to optimize user experience and sales.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a redirection service uses simple URL forwarding, then implementation is easy and fast, but it cannot handle geo-fragmentation, currency differences, and affiliate credit properly
Solution Approach 1:
The patent introduces an intermediary redirection service that sits between the user and multiple international storefronts. This mediator analyzes user location, device type, and currency preferences to intelligently route users to the appropriate storefront, thereby solving geo-fragmentation and affiliate credit issues without requiring complex changes at the storefront level
Solution Approach 2:
The redirection service segments the international storefront landscape by creating distinct routing paths for different regions, devices, and currencies. It divides the redirection logic into multiple decision points that evaluate different parameters (location, device type, currency) to determine the optimal storefront destination
2Measurement precision
If the redirection service analyzes multiple parameters (location, device, OS), then routing accuracy improves, but processing time increases
Solution Approach 1:
The redirection service performs preliminary actions by pre-establishing routing rules and storefront mappings before user requests arrive. It proactively organizes storefront data by region, device type, and currency, so that when a user request comes in, the service can quickly match parameters against pre-sorted data rather than making complex decisions in real-time
Solution Approach 2:
The service changes parameters dynamically based on user context - it adjusts which parameters are evaluated and in what order depending on the user's location, device type, and requested currency. This flexible parameter evaluation reduces unnecessary processing steps while maintaining routing accuracy
3Reliability
If the service implements comprehensive affiliate tracking, then affiliate credit accuracy improves, but system complexity increases
Solution Approach 1:
The redirection service acts as an intermediary that centralizes affiliate tracking logic in one location rather than requiring each storefront to implement its own tracking system. It maintains affiliate parameter information and ensures proper credit attribution by routing users through appropriate affiliate links, thereby improving reliability without distributing complexity across multiple systems
Data Source
AI summary
A system can include a processor; memory operatively coupled to the processor; an input; an output; and one or more modules stored in the memory that include instructions executable by the processor to instruct the system to receive information, via the input, that includes information associated with a target; parse the information; access a profile; and build a link based at least in part on the information and at least in part on the profile.