A SCALABLE PERFORMANCE-DRIVEN FRAMEWORK FOR INFLUENCER-BASED AFFILIATE MARKETING USING MOBILE ARCHITECTURE

Abstract

 Performance-driven influencer marketing is vital in today’s digital commerce. However, many affiliate systems lack structured commission management, clear tracking, and scalable mobile management. This research introduces a Scalable Influencer-Based Affiliate Management System. It is designed to link influencer registration, affiliate link creation, product management, order tracking, and commission withdrawals within a single mobile platform. The system uses a modular repository-based Android design to ensure it can be scaled and maintained easily. Orders are linked directly to affiliate accounts, which helps with commission calculation and financial clarity. Additionally, we introduce an Influencer Performance Score (IPS) model to measure affiliate effectiveness based on conversion rates and reliability. The proposed framework improves accountability, performance analysis, and sustainable growth in influencer-driven affiliate networks.