LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion

When the competition in e-commerce rises, it is essential to ensure content is creative as well as effective in driving conversions. Using language generation from LLMs, we suggest a process that includes prompt engineering, multi-objective training and post-processing to make marketing texts engaging and effective for sales. We use a two-step process that applies sentiment modification, boosts diversity and adds calls to action. The way we test offline and online helps achieve a 12.5% increase in click through rate (CTR) and 8.3% increase in conversion rate (CVR). With this solution, creating texts can be automated and it will guide future improvements in live, customized user experiences.

Authors

Institutions

Publication Details

Published
2025-06-06
DOI
https://doi.org/10.1145/3757749.3757850
Citations
6
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
13.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion

D. Wang, Tianle Zhang, Haotian Lyu, Y. X. Zhao et al.
6 citations
Big Data and Business Intelligence
13.70
article

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion

D. Wang, Tianle Zhang, Haotian Lyu, Y. X. Zhao, Huan Yang
article en
6 citations

Abstract

When the competition in e-commerce rises, it is essential to ensure content is creative as well as effective in driving conversions. Using language generation from LLMs, we suggest a process that includes prompt engineering, multi-objective training and post-processing to make marketing texts engaging and effective for sales. We use a two-step process that applies sentiment modification, boosts diversity and adds calls to action. The way we test offline and online helps achieve a 12.5% increase in click through rate (CTR) and 8.3% increase in conversion rate (CVR). With this solution, creating texts can be automated and it will guide future improvements in live, customized user experiences.

University of Southern California (US), Duke University (US), Washington University in St. Louis (US), Oldham Council (GB), University of Houston (US)
Openalex Percentile: Top 1%
Big Data and Business Intelligence
13.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion — D. Wang, Tianle Zhang, et al. · (2025) | TGRS Research Map | TGRS