From Clicks to Conversions: Mastering Data-Driven Marketing for Maximum ROI

This study investigates the impact of data-driven decision making and marketing automation using artificial intelligence on return on investment, with customer engagement examined as a mediating variable. Employing a quantitative research design, data were collected through an online survey targeting professionals in digital marketing and e-commerce sectors. The analysis was conducted using Partial Least Squares Structural Equation Modeling, which validated both the measurement and structural models. The results reveal that data-driven decision making and marketing automation using artificial intelligence significantly influence customer engagement, which in turn has a strong and positive effect on return on investment. Furthermore, customer engagement mediates the relationship between both predictor variables and return on investment, suggesting that the financial benefits of digital strategies are maximized when they successfully foster active and meaningful customer interactions. These findings highlight the importance of integrating analytical tools and technological innovations with customer-centric engagement strategies to achieve sustainable marketing performance in digital environments.

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Publication Details

Journal
Jurnal Informatika Ekonomi Bisnis
Published
2025-06-30
DOI
https://doi.org/10.37034/infeb.v7i2.1135
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

From Clicks to Conversions: Mastering Data-Driven Marketing for Maximum ROI

Erma Yuliani, Bunga Aditi, Miko Andi Wardana
Jurnal Informatika Ekonomi Bisnis
Big Data and Business Intelligence
article

From Clicks to Conversions: Mastering Data-Driven Marketing for Maximum ROI

Erma Yuliani, Bunga Aditi, Miko Andi Wardana
article en

Abstract

This study investigates the impact of data-driven decision making and marketing automation using artificial intelligence on return on investment, with customer engagement examined as a mediating variable. Employing a quantitative research design, data were collected through an online survey targeting professionals in digital marketing and e-commerce sectors. The analysis was conducted using Partial Least Squares Structural Equation Modeling, which validated both the measurement and structural models. The results reveal that data-driven decision making and marketing automation using artificial intelligence significantly influence customer engagement, which in turn has a strong and positive effect on return on investment. Furthermore, customer engagement mediates the relationship between both predictor variables and return on investment, suggesting that the financial benefits of digital strategies are maximized when they successfully foster active and meaningful customer interactions. These findings highlight the importance of integrating analytical tools and technological innovations with customer-centric engagement strategies to achieve sustainable marketing performance in digital environments.

Jurnal Informatika Ekonomi Bisnis
Pelita Harapan University (ID), Indonesia Open University (ID), Universitas Harapan Medan (ID)
Openalex Percentile: Top 71%
Big Data and Business Intelligence
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From Clicks to Conversions: Mastering Data-Driven Marketing for Maximum ROI — Erma Yuliani, Bunga Aditi, et al. · Jurnal Informatika Ekonomi Bisnis (2025) | TGRS Research Map | TGRS