The Role of Technology in Modern Marketing: Trends Tools and Future Directions

The rapid evolution of technology has revolutionized the field of marketing, enabling businesses to engage withcustomers more effectively, optimize campaigns, and drive sales. This paper explores the transformative role of technology inmodern marketing, focusing on key advancements such as artificial intelligence (AI), big data analytics, automation,augmented reality (AR), virtual reality (VR), and blockchain. Beyond a conceptual review, this study contributes originalfindings through experimental evaluation of leading AI-powered tools such as IBM Watson and HubSpot. The comparativeanalysis quantifies setup time, engagement rate, ROI, and computational cost, offering practical guidance for tool adoption.The paper also addresses challenges like data privacy and ethical concerns and discusses emerging trends such as themetaverse and IoT integration. This hybrid approach makes the study a valuable resource for both academic researchers andindustry professionals.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-02
DOI
https://doi.org/10.5281/zenodo.16608871
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of Technology in Modern Marketing: Trends Tools and Future Directions

Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

The Role of Technology in Modern Marketing: Trends Tools and Future Directions

article en

Abstract

The rapid evolution of technology has revolutionized the field of marketing, enabling businesses to engage withcustomers more effectively, optimize campaigns, and drive sales. This paper explores the transformative role of technology inmodern marketing, focusing on key advancements such as artificial intelligence (AI), big data analytics, automation,augmented reality (AR), virtual reality (VR), and blockchain. Beyond a conceptual review, this study contributes originalfindings through experimental evaluation of leading AI-powered tools such as IBM Watson and HubSpot. The comparativeanalysis quantifies setup time, engagement rate, ROI, and computational cost, offering practical guidance for tool adoption.The paper also addresses challenges like data privacy and ethical concerns and discusses emerging trends such as themetaverse and IoT integration. This hybrid approach makes the study a valuable resource for both academic researchers andindustry professionals.

Zenodo (CERN European Organization for Nuclear Research)
Guru Gobind Singh Indraprastha University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 74%
AI in Service Interactions
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