Digital Marketing Strategy to Enhance Sales on E-Commerce Platforms
Keywords:
Digital Marketing, Social Media, E-commerce, Artificial intelligence (AI), Machine Learning (ML)Abstract
Background: In the dynamic landscape of modern-day commerce, the advent of digital advertising has redefined the paradigms of commercial enterprise, promoting consumer engagement.
Objective: This study aims to evaluate digital marketing landscapes and examine the effect of virtual advertising on e-commerce sales.
Methodology: The research is based on a combined-strategies technique integrating qualitative and quantitative data collection strategies to benefit comprehensive insights into digital marketing strategies inside the e-trade landscape. The questionnaire was designed. The sample size is 500 respondents. Descriptive records were derived from interviews carried out with one hundred business agencies running in the e-commerce sector.
Results: The result of the study revealed the impact of age on digital marketing effectiveness and the affiliation between virtual advertising effectiveness and social media engagement. The regression analysis stated that digital marketing efficacy, social media engagement, and e-commerce integration substantially impact sales growth. The mean score in the high integration in e-commerce group is 4.5 with a standard deviation of 0.6. Similarly, the moderate integration group's mean score was 3.8 with a standard deviation of 0.7, while the low integration group had a mean score of 3.2 with a standard deviation of 0.9.
Unique contribution: This study offers practical insights for enhancing sales on e-commerce platforms by effectively utilising digital advertising and marketing strategies. The study demonstrates how to employ digital marketing strategies effectively.
Key Recommendation: Businesses should develop customised digital marketing strategies that are relevant to their target audience, business, and business needs.
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Copyright (c) 2025 Ahmad Shajrawi, Laith Khrais, Anas bani atta, Khaled Alshaketheep, Hind Al-Ahmed

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.