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     2026:7/1

Journal of Frontiers in Multidisciplinary Research

ISSN: 3050-9718 (Print) | 3050-9726 (Online) | Impact Factor: 8.10 | Open Access

Strategic Digital Marketing Models for Agribusiness: Connecting Producers to Markets through Data-Driven Platforms

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Abstract

This paper explores the role of data-driven digital marketing in enhancing the connection between agribusiness producers and markets. As the agricultural sector faces challenges related to market access, inefficient supply chains, and limited consumer engagement, digital marketing platforms present innovative solutions for improving market visibility, optimizing supply chain management, and enhancing customer satisfaction. The research examines key strategies, including leveraging data analytics, consumer insights, e-commerce, and digital payment systems, to facilitate direct market access for producers while minimizing intermediaries. It emphasizes the importance of building strategic digital marketing models that align with consumer preferences, behavior, and trends, which are critical to boosting demand forecasting and inventory management. The paper also investigates challenges such as digital literacy gaps, infrastructure limitations, and market fragmentation, and provides recommendations for overcoming these hurdles through policies that encourage infrastructure development and digital literacy programs. Finally, the paper outlines future research directions on the integration of emerging technologies, such as AI, machine learning, and blockchain, to further enhance the impact of digital marketing in the agribusiness sector. The findings of this study provide valuable insights for agribusinesses, policymakers, and technology providers seeking to optimize digital marketing strategies and strengthen the agricultural value chain.

How to Cite This Article

Daphine Nyangoma, Ejuma Martha Adaga, Ngodoo Joy Sam-Bulya, Godwin Ozoemenam Achumie (2024). Strategic Digital Marketing Models for Agribusiness: Connecting Producers to Markets through Data-Driven Platforms . Journal of Frontiers in Multidisciplinary Research (JFMR), 5(1), 141-148. DOI: https://doi.org/10.54660/.IJFMR.2024.5.1.141-148

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