Template-Adaptive Content Organization: AI-Driven Personalization for E-Commerce Email Marketing

This paper presents Template-Adaptive Content Organization (TACO), a practical algorithm for generating personalized email layouts for e-commerce marketing campaigns. Unlike rigid template-based approaches, TACO dynamically adapts email templates to specific campaign objectives through semantic analysis of product data and customer segmentation. Our implementation within a SaaS e-commerce platform demonstrates TACO's ability to generate professional-quality email layouts that maintain brand consistency while providing meaningful personalization. Evaluations with both marketing professionals and general consumers show that TACO significantly reduces design time while producing layouts rated as more effective than conventional methods, making AI-driven email design accessible for small and medium-sized businesses.