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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2025 6th International Conference on Computer Engineering and Application, ICCEA 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1399-1404
Number of pages6
ISBN (Electronic)9798331543303
DOIs
Publication statusPublished - 2025
Event6th International Conference on Computer Engineering and Application, ICCEA 2025 - Hangzhou, China
Duration: 25 Apr 202527 Apr 2025

Publication series

Name2025 6th International Conference on Computer Engineering and Application, ICCEA 2025

Conference

Conference6th International Conference on Computer Engineering and Application, ICCEA 2025
Country/TerritoryChina
CityHangzhou
Period25/04/2527/04/25

Keywords

  • content organization
  • design automation
  • e-commerce
  • email marketing
  • layout optimization
  • personalization

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