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Journal articles on the topic 'AI Marketing'

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1

Shubham, Dighikar. "How Artificial Intelligence Influences the Marketing." Recent Trends in Data Mining and Business Forecasting 1, no. 1 (2020): 1–5. https://doi.org/10.5281/zenodo.3779624.

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Artificial Intelligence is the new revolution in the business and in past few years it is indulged in various fields like science, business, medicine, automation and education, AI is also reached in the marketing business. Most of the big companies are using AI for their advertisement in digital platforms. AI has been changing the way of marketing and sales with consumer perception and its behaviour. The author of the paper is suggested the research about an AI, what it is and how deeply it is applied in marketing and what marketing practitioners can do with AI implication. The author of the p
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Chen, Yiran. "Exploring Innovative Pathways in Digital Marketing Models in the Era of Artificial Intelligence." Journal of Education, Humanities and Social Sciences 51 (May 8, 2025): 31–35. https://doi.org/10.54097/z5cf0740.

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Digital marketing's dependency on technology has grown exponentially, with AI leading the charge in innovation and shaping new paradigms. As AI becomes more integrated into marketing strategies, it has fundamentally changed the dynamics of business-to-consumer relationships. The emergence of digital marketing has dramatically altered the landscape of business-to-consumer interactions, with artificial intelligence (AI) emerging as a key catalyst in this transformation. This research delves into the innovative applications of AI within digital marketing, examining the latest trends and their imp
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Ghosh, Jayesh. "AI based Marketing Platform." International Journal for Research in Applied Science and Engineering Technology 9, no. 5 (2021): 292–96. http://dx.doi.org/10.22214/ijraset.2021.34124.

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Muhammad Edrick Abhiseka, Riyandi, Yongki Alex, Riza Ardy Saputra, and Adi Setiawan. "AI for Digital Marketing." Apollo: Journal of Tourism and Business 2, no. 2 (2024): 197–209. http://dx.doi.org/10.58905/apollo.v2i2.298.

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The rapid development of artificial intelligence (AI) technology has revolutionized the digital marketing landscape, enabling marketers to improve efficiency, personalization and strategic decision making. This research aims to map research trends related to the application of AI in digital marketing through bibliographic analysis. Qualitative research methods with a historical approach are used to collect and analyze scientific articles from leading international journals. Bibliometric analysis was performed with VOSviewer software to visualize patterns and clusters of key terms. Results show
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Ramnani, Shweta. "Revolutionising Conventional Marketing with AI: Leveraging Machine Learning for Marketing." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem28481.

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Amidst an age characterized by rapid technological progress, this research paper investigates the revolutionary capacity of artificial intelligence (AI) and machine learning (ML) to alter traditional marketing methodologies fundamentally. In order to address the drawbacks of conventional marketing methods, this article develops a theoretical framework that emphasizes the critical importance of machine learning algorithms, such as supervised, unsupervised, and reinforcement learning, and AI customer relationship management (ACRM). The research explores pragmatic approaches, including meta-analy
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MR, Anoop. "ARTIFICIAL INTELLIGENCE AND MARKETING." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 4 (2021): 1247–56. http://dx.doi.org/10.17762/turcomat.v12i4.1184.

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Artificial intelligence (AI) has grown in recent years in many fields: research, industry, pharmaceuticals, automobile and education. In marketing, AI has also been effective. The aim of this article is to explore the usage and effect of AI in marketing. The authors posed two study concerns - which fields are applied to AI marketing and how AI impacts marketers. The authors carried out secondary data investigations with samples of AI used for marketing purposes in order to address these queries. The review of the illustration given demonstrates, while the implementations are manual, that AI is
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Paulmurugan, M. Paulmurugan. "REFORMING MARKETING PRODUCTIVITY IN LEVERAGING AI TO MODERNIZE MARKETING ENVIRONMENTS." International Journal of Education, Modern Management, Applied Science & Social Science 07, no. 01(II) (2025): 49–56. https://doi.org/10.62823/ijemmasss/7.1(ii).7261.

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The recently developed Digital Marketing field incorporates the latest artificial intelligence advancements with traditional approaches on productivity, efficiency, and engagement. With AI powered marketing, companies are now able to automate mundane tasks, strengthen interactions with clients, and derive insights from the vast amounts of data for better decisions. In this work, I discuss the importance of AI in automating marketing environments, especially in relation to machine learning, predictive analytics, and natural language comprehension that power marketing campaign optimization. The
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Zaman, Khansa. "Transformation of Marketing Decisions through Artificial Intelligence and Digital Marketing." Journal of Marketing Strategies 4, no. 2 (2022): 353–64. http://dx.doi.org/10.52633/jms.v4i2.210.

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Artificial Intelligence (AI) is ornamental to the strategic decisions of consumers and its competitive nature and has rapidly transformed the dynamics of the emerging digital world. The evolution of predictive marketing has increased the understating of consumer decision-making. Moreover, AI has enabled many businesses to predict big consumer data to fulfill customer expectations and provide customized products and services. AI’s role has been increased in operational marketing, such as design and selection of ads, customer targeting and customer analysis. Nevertheless, the role in strategic d
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Huang, Ming-Hui, and Roland T. Rust. "A strategic framework for artificial intelligence in marketing." Journal of the Academy of Marketing Science 49, no. 1 (2020): 30–50. http://dx.doi.org/10.1007/s11747-020-00749-9.

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AbstractThe authors develop a three-stage framework for strategic marketing planning, incorporating multiple artificial intelligence (AI) benefits: mechanical AI for automating repetitive marketing functions and activities, thinking AI for processing data to arrive at decisions, and feeling AI for analyzing interactions and human emotions. This framework lays out the ways that AI can be used for marketing research, strategy (segmentation, targeting, and positioning, STP), and actions. At the marketing research stage, mechanical AI can be used for data collection, thinking AI for market analysi
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Mursalin, Adi, Yuli Purbaningsih, Surya Fadjar Boediman, Meli Siagawati, and Rainier Hendrik Sitaniapessy. "UNDERSTANDING AI-DRIVEN INFLUENCER MARKETING." INTERNATIONAL JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (INJOSS) 2, no. 3 (2023): 443–55. http://dx.doi.org/10.54443/injoss.v2i3.90.

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AI-driven influencer marketing has emerged as a transformative approach in the digital advertising landscape. This research aimed to explore the efficiency and effectiveness of AI integration in influencer marketing campaigns, comparing it to traditional methods. By employing a mixed-methods approach, including qualitative interviews and quantitative data analysis, the study investigated the impact of AI on influencer selection, campaign performance, and ethical considerations. The findings revealed that AI-driven influencer selection processes significantly outperformed manual methods' accura
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Arshad, Nashrah, Kshitiz Sharma, Aaditya Singh, and Vaishnavi Kavhale. "AI Changing Marketing for Marketers." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–10. http://dx.doi.org/10.55041/ijsrem28127.

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Artificial Intelligence (AI) is rapidly transforming various industries including marketing. The use of AI in marketing has made it more efficient and effective than ever before. However, there is a growing concern that AI may soon replace marketers altogether. This research aims to investigate the impact of AI on the marketing profession. Using a qualitative research approach, data was collected through in-depth interviews with marketing professionals and experts in the field of AI. The findings reveal that AI has already had a significant impact on marketing, particularly in the areas of dat
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Y, Sanjai, and Kotteswaran D. "Emerging Trends in Marketing and AI." International Journal of Research Publication and Reviews 6, no. 4 (2025): 6074–80. https://doi.org/10.55248/gengpi.6.0425.15197.

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Sudheer, Peddineni Kalava. "Why AI in Digital Marketing is Making Traditional Methods Obsolete." International Journal of Leading Research Publication 5, no. 12 (2024): 1–6. https://doi.org/10.5281/zenodo.14995969.

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AI has transformed how businesses connect with their target audiences in marketing. This paper shows the change from conventional marketing to AI-powered strategies. We analyze the technical capabilities that make traditional methods less effective today. Machine learning algorithms, natural language processing, and computer vision technologies now boost marketing precision and personalization.Our study uses quantitative analysis to compare performance metrics between AI-driven and traditional marketing campaigns. We also evaluate the technical infrastructure needs. The paper gives an explanat
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Fayed, Abeer Elsayed. "Artificial Intelligence for marketing plan: the case for e-marketing companies." Marketing and Management of Innovations, no. 1 (2021): 81–95. http://dx.doi.org/10.21272/mmi.2021.1-07.

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This paper summarises the arguments and counterarguments within the scientific discussion on artificial intelligence (AI) in preparing a marketing plan for e-marketing organizations. This research aims to identify the extent of the contribution of AI in preparing the marketing plan. The author noted that intended to know how e-marketing companies could use AI techniques in situation analysis, analyze competitors' strategies, strategic goals, preparing marketing strategies, preparing an estimated marketing budget, and control a marketing plan. Systematization of the scientific background and ap
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Shaik, Mahabub. "Impact of artificial intelligence on marketing." East Asian Journal of Multidisciplinary Research 2, no. 3 (2023): 993–1004. http://dx.doi.org/10.55927/eajmr.v2i3.3112.

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The evolution of artificial intelligence (AI) has drastically changed the dynamics of today’s business world. One of the most significant applications of AI is in the field of marketing, which assists in enhancing performance. The current research aims at finding out the impact of AI in marketing. A thorough literature research was highlighted, providing a strong knowledge of AI and its use in marketing. Second, the researcher employed a qualitative study strategy that included semi-structured interviews with marketing professionals from several Indian companies. The researcher chose a sample
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Jaiswal, Shreenarayan, Sudarshan Desai, Krishnakumar Gupta, Aniket Londhe, and Dr Radhika Nanda. "AI Saas Web Application." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43875.

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Software as a Service (SaaS) has revolutionized the way businesses manage software delivery, providing scalable, cloud-based solutions that simplify access and maintenance. This model has had a profound impact on various business functions, particularly in the areas of email marketing and AI-driven chatbots. SaaS email marketing platforms offer automated campaign management, sophisticated audience segmentation, and real-time analytics, making marketing efforts more efficient and impactful. Similarly, SaaS-powered AI chatbots utilize natural language processing to provide personalized, round-th
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Ma, Haoyuan. "Marketing Strategy of Open AI." Advances in Economics, Management and Political Sciences 73, no. 1 (2024): None. http://dx.doi.org/10.54254/2754-1169/73/20231500.

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In the current society, the field of artificial intelligence is developing rapidly. In the field of artificial intelligence, OpenAI can be said to be one of the best, which promotes technological progress and market dynamic changes. This article discusses OpenAI's marketing strategy in depth, with the aim of understanding its formulation, evolution, and impact on the artificial intelligence industry. Through analysis, this paper examines the company's initial marketing efforts, branding and messaging strategies, and the role of collaborations and partnerships in expanding its market presence.
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Priyadharshini, Ms K., and Dr S. Arulraj. "ARTIFICIAL INTELLIGENCE (AI) IN MARKETING." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–3. http://dx.doi.org/10.55041/ijsrem29127.

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The computer industry that focuses on creating and developing computer systems that reproduce aspects of human behaviour to signify scaled primitive brainpower is known as artificial intelligence. A management process that involves providing clients with goods and services is referred to as marketing. It is based on a corporate philosophy that looks at client needs and satisfaction from a strategic standpoint. The goal of artificial intelligence is to replicate intelligence, which consists of elements that support reasoning, knowledge acquisition, and response to environmental changes. It is a
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Guruprasad, M., Mukul Agarwal, Rohan Johari, and Manish Khatri. "Artificial Intelligence (AI) and Marketing." International Journal of Latest Engineering and Management Research (IJLEMR) 8, no. 10 (2023): 10–13. http://dx.doi.org/10.56581/ijlemr.8.10.10-13.

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Hiranmayee, N. "AI for Automated Email Marketing." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 3255–60. https://doi.org/10.22214/ijraset.2025.68986.

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Abstract: In today's rapidly evolving digital marketplace, businesses face the challenge of effectively communicating with a diverse customer base, each possessing unique preferences and interests. Traditional manual approaches to creating and distributing personalized email campaigns are often resource-intensive and inefficient. This project introduces an innovative AIdriven system designed to automate the email marketing process, significantly reducing manual workload while enhancing customer engagement. The proposed system utilizes machine learning techniques, specifically TF-IDF vectorizat
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Gorodetskiy, Yuriy D. "AUTOMATION IN DIGITAL MARKETING: HOW AI TECHNOLOGIES HAVE CHANGED MARKETING STRATEGIES." Journal of Strategic Economic Research, no. 1 (July 8, 2025): 104–16. https://doi.org/10.30857/2786-5398.2025.1.7.

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The modern use of artificial intelligence in digital marketing is highly relevant, as AI technology is rapidly evolving and allows businesses to adapt to new market conditions. The aim of the study was to identify the main advantages and changes that AI technologies bring to the marketing strategies of small and medium-sized businesses. The study used analysis and comparison methods to examine the impact of AI on key marketing processes, including targeting, personalisation, and customer service. It was found that AI allows for better audience segmentation and increased personalisation of offe
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Md. Morshedul Hasan, HM Atif Wafik, Sheikh Khurshid Alam Prince, Imran Uddin, and Shuvo Kumar Mallik. "The role of Artificial Intelligence in marketing: A thematic review of AI applications and consumer engagement." Open Access Research Journal of Science and Technology 14, no. 1 (2025): 009–19. https://doi.org/10.53022/oarjst.2025.14.1.0065.

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Long before the worldwide epidemic struck, technological advancements were transforming consumer behavior and marketing strategies. The potential of AI to positively impact marketing practices and research is also promising. However, marketers must understand AI and how it profoundly affects consumer behavior. Consequently, the purpose of this paper is to review the applications of AI in marketing and examine its contribution to the facilitation of marketing processes. This review of AI applications in marketing is based on existing literature up to 2021. This study only included research pape
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Andi, Pangeran, Afra Iqbal, and Peter Lenando Tito. "Maximizing the Impact of Digital Marketing: AI Integration for More Precise and Effective Strategies." INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS 07, no. 06 (2024): 2690–98. https://doi.org/10.5281/zenodo.12526455.

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In this dynamic digital era, the marketing Landscape continues to evolve rapidly. To stay ahead of the competition, businesses need to adapt and take advantage of the latest technology. One technology that offers tremendous potential to increase the effectiveness of digital marketing is Artificial Intelligence (AI). Artificial intelligence (AI) has become an increasingly important technology in various industries, including marketing. AI can be used to improve marketing effectiveness in a variety of ways, including data analytics, personalization, automation, and machine learning. This journal
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Gaur, Dr Akhilesh, Ms Swati Gupta, and Dr Lata Sisodiya. "Artificial Intelligence's Effect on Marketing: The Viewpoint of Indian Corporate Employees in Marketing." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 07 (2024): 1–9. http://dx.doi.org/10.55041/ijsrem36368.

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The corporate world has undergone a transformation due to the advent of artificial intelligence (AI). AI has many important uses in the marketing industry, one of which is performance improvement. The goal of this study is to determine how artificial intelligence (AI) is affecting marketing from the viewpoint of Indian corporate employees who work in the field. The literature was thoroughly reviewed, and the results gave rise to a clear grasp of artificial intelligence (AI) and its applications in marketing. Second, the researcher conducted semi-structured interviews with several marketing spe
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Srivastava, Priyanshi, and Dr Nimish Gupta. "Beyond Automation: Exploring the Role of AI in Personalized Digital Marketing: Issues and Challenges." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42810.

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Digital marketing has been transformed by artificial intelligence (AI), especially in customizing customer interactions. This study investigates AI-powered tailored marketing and evaluates how it affects customer perceptions, engagement, and conversion rates. Results indicate that although AI improves the efficacy of marketing, issues like ethical data management and privacy concerns still exist. The report emphasizes that to optimize AI's advantages in digital marketing, openness, moral AI adoption, and consumer trust-building are necessary. Keywords—AI, Digital Marketing, Personalized Market
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Israfilzade, Khalil, and Nuraddin Sadili. "Beyond interaction: Generative AI in conversational marketing - foundations, developments, and future directions." JOURNAL OF LIFE ECONOMICS 11, no. 1 (2024): 13–29. http://dx.doi.org/10.15637/jlecon.2294.

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This paper explores the integration of Generative Artificial Intelligence (AI) in conversational marketing, transitioning from traditional marketing to interactive, customer-centric strategies. It examines the shift from one-way communication to dynamic, AI-driven interactions that personalize customer experiences. Central to this study is how Generative AI facilitates real-time, tailored dialogues between brands and customers, enhancing customer engagement and satisfaction. The paper also addresses the challenges and ethical considerations of using anthropomorphic AI in marketing, balancing h
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Potwora, Maciej, Olha Vdovichena, Dmytrii Semchuk, Liubov Lipych, and Volodymyr Saienko. "The use of artificial intelligence in marketing strategies: Automation, personalization and forecasting." Journal of Management World 2024, no. 2 (2024): 41–49. http://dx.doi.org/10.53935/jomw.v2024i2.275.

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The integration of Artificial Intelligence (AI) in marketing strategies is pivotal in the era of digital transformation, especially in automation, personalization, and forecasting. This research investigates the evolutionary role of AI in transitioning from traditional marketing frameworks to data-driven methodologies, thereby enhancing marketing efficiency and customer engagement. The increasing reliance on AI for strategic decision-making in marketing underscores the significance of this study. Employing a systematic literature review and thematic analysis, this research synthesizes data fro
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Sood, Suresh, and Hugh Pattinson. "Marketing Education Renaissance Through Big Data Curriculum: Developing Marketing Expertise Using AI Large Language Models." International Journal of Innovation and Economic Development 8, no. 6 (2023): 23–40. http://dx.doi.org/10.18775/ijied.1849-7551-7020.2015.86.2003.

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Utilising big data sources and artificial intelligence (AI) tools with marketing activities and analysis contrast with questionnaires and small n observations, essentially creating a renaissance in marketing education. As a result, marketing education keeps pace with AI developments and ensures learners (or students) prepare for the demands of the modern marketing landscape 2025-30. The authors advocate a central focus on a big data-driven marketing curriculum for marketing education. Such a curriculum places AI and machine learning center stage to help understand, analyze and utilize large an
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Mushtaq, Babar. "Impact of Artificial Intelligence on Marketing strategies with reference to MNCs." International Scientific Journal of Engineering and Management 03, no. 05 (2024): 1–9. http://dx.doi.org/10.55041/isjem01721.

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Artificial intelligence (AI) is rapidly transforming the marketing landscape. This literature-based study explores the diverse applications of AI in marketing functions, drawing insights from academic journals, industry reports, and marketing publications. The study examines how AI personalizes marketing efforts through targeted advertising and content marketing, while also investigating its role in customer relationship management (CRM). It delves deeper into AI's influence on market research and marketing ROI (Return on Investment) optimization. By analyzing these applications, the study aim
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Mao, Yuze. "Current state and future development of artificial intelligence in marketing." Applied and Computational Engineering 6, no. 1 (2023): 641–46. http://dx.doi.org/10.54254/2755-2721/6/20230884.

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Artificial intelligence (AI) has emerged as a trend in various industries. In the marketing field, artificial intelligence has been the main driver of its growth and an important tool for companies, organisations, and marketing specialists. However, there is a gap between the existing AI research and the actual application of the technologies in marketing. To bridge the gap, this study focuses on the current state of research on artificial intelligence in marketing and AI technologies used in marketing. Research articles on this topic are searched from the ScienceDirect database and the IEEE X
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Wang, Shuo. "The Influence of AI in Marketing." Advances in Economics, Management and Political Sciences 151, no. 1 (2025): 52–57. https://doi.org/10.54254/2754-1169/2024.19326.

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The advent of Artificial Intelligence (AI) in marketing has sparked a transformative change. This paper delves into the burgeoning application of AI in marketing, examining its potential to enhance efficiency and sales while addressing the associated ethical concerns and customer privacy issues. Despite the potential drawbacks, such as data privacy violations and the erosion of consumer autonomy, the study explains the benefits of AI in personalizing customer experiences and streamlining decision-making processes, which can bolster customer satisfaction and drive sales performance. The researc
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Et al., Swati Sharma. "Ethical Considerations in AI-Based Marketing: Balancing Profit and Consumer Trust." Tuijin Jishu/Journal of Propulsion Technology 44, no. 3 (2023): 1301–9. http://dx.doi.org/10.52783/tjjpt.v44.i3.474.

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In the age of artificial intelligence (AI), marketing has evolved into a data-driven, personalized, and highly efficient discipline. AI-based marketing tools and algorithms offer businesses unparalleled opportunities to understand and engage with their target audiences. However, this technological advancement raises profound ethical questions regarding the intersection of profit-seeking and consumer trust. This paper explores the intricate relationship between ethical considerations in AI-based marketing and the delicate equilibrium between profitability and the preservation of consumer trust.
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Zaidi, Syed Murtuza Abbas. "A Study of “The Growth of AI in Digital Marketing Platform”." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 4934–44. http://dx.doi.org/10.22214/ijraset.2024.62326.

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Abstract: The purpose of the current research paper is to provide a review of previous studies that have explored the important role of artificial intelligence (AI) in digital marketing. AI has become a powerful and powerful tool to transform many industries, including marketing. By helping companies analyze large amounts of data, identify patterns and make decisions, artificial intelligence has dramatically changed the way businesses engage with consumers online. This research paper followed the library research method as 26 research papers related to the topic were reviewed. All research pap
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Noranee, Shereen, and Abdul Kadir Bin Othman. "Understanding Consumer Sentiments: Exploring the Role of Artificial Intelligence in Marketing." JMM17 : Jurnal Ilmu ekonomi dan manajemen 10, no. 1 (2023): 15–23. http://dx.doi.org/10.30996/jmm17.v10i1.8690.

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This research article presents a comprehensive review of the industrial opportunities of AI in marketing. The study begins with an introduction highlighting the significance of AI in marketing and its transformative potential. The literature review focuses on three key aspects: understanding consumer sentiments, market insights, and the use of AI in marketing. The review highlights the role of AI in understanding consumer sentiments through sentiment analysis, enabling marketers to gain valuable market insights. It explores the industrial opportunities of AI, including personalized marketing,
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van Esch, Patrick, and J. Stewart Black. "Artificial Intelligence (AI): Revolutionizing Digital Marketing." Australasian Marketing Journal 29, no. 3 (2021): 199–203. http://dx.doi.org/10.1177/18393349211037684.

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Artificial intelligence (AI)-enabled digital marketing is revolutionizing the way organizations create content for campaigns, generate leads, reduce customer acquisition costs, manage customer experiences, market themselves to prospective employees, and convert their reachable consumer base via social media. Real-world examples of organizations who are using AI in digital marketing abound. For example, Red Balloon and Harley Davidson used AI to automate their digital advertising campaigns. However, we are early in the process of both the practical application of AI by firms broadly and by thei
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Tai, Junye. "Artificial Intelligence Application in the Three Stages of Marketing: An In-Depth Case Study of Tesla." Highlights in Business, Economics and Management 23 (December 29, 2023): 13–18. http://dx.doi.org/10.54097/yh0dwv44.

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Driven by emerging technologies, the traditional marketing style is undergoing a profound change. Artificial Intelligence, as a cutting-edge technology, plays a crucial role in this revolution process. This study aims to understand and explore the general application of AI models in marketing activities by deeply analyzing the different types of applications of AI in the three stages of Tesla's marketing. Since the application of AI in marketing has a relatively short history, there is a lack of core literature and primary data, ambiguity of related concepts, and unclear development direction,
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Bobro, Natalia, Roman Hyshchuk, Artur Strunhar, Oleksandr Bukovskyi, and Vitalii Alekseiko. "Exploring the role of AI in shaping future marketing strategies: evaluations and outlooks." Revista Amazonia Investiga 13, no. 80 (2024): 43–53. http://dx.doi.org/10.34069/ai/2024.80.08.4.

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In the contemporary era, the advent of artificial intelligence (AI) is precipitating profound shifts in numerous sectors, mainly marketing, where personalisation and decision-making are undergoing radical transformations due to novel technologies. This study aims to examine the opportunities and challenges associated with the integration of AI into marketing strategies. The research revealed AI's impact on personalising marketing content, enabling companies to foster more profound consumer interactions. The study then examined AI's role in decision-making, where using sophisticated analytical
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Венгер, Євгеній Іванович, та Катерина Сергіївна Фень. "ШТУЧНИЙ ІНТЕЛЕКТ ЯК ДРАЙВЕР РОЗВИТКУ МАРКЕТИНГОВИХ КАМПАНІЙ У ЦИФРОВУ ЕПОХУ". TIME DESCRIPTION OF ECONOMIC REFORMS, № 2 (1 липня 2024): 102–9. http://dx.doi.org/10.32620/cher.2024.2.12.

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Artificial intelligence (AI) is rapidly evolving and finding increasing applications in various industries, including marketing. Modern companies striving to remain competitive in the digital era are actively implementing AI into their marketing strategies. AI allows not only to automate routine processes but also to significantly increase the effectiveness of marketing campaigns through the analysis of large amounts of data and content personalization. However, not all companies fully utilize the potential of this technology due to insufficient awareness and the lack of a clear methodology fo
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Labudová, Lenka. "The Influence of Artificial Intelligence on Modern Marketing." European Conference on Innovation and Entrepreneurship 19, no. 1 (2024): 391–97. http://dx.doi.org/10.34190/ecie.19.1.2760.

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This paper explores how Artificial Intelligence (AI) is reshaping the marketing landscape, using data primarily sourced from Statista. By analysing global trends up to March and July 2023, we aim to provide a clear understanding of AI's impact on marketing strategies and outcomes. We begin by examining the rapid growth of AI in marketing, including its market size, revenue, and the preferences of users worldwide. We also highlight the popularity of leading AI text tools among users, giving insights into their market dominance and adoption rates. In addition, we investigate the funding landscap
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Overgoor, Gijs, Manuel Chica, William Rand, and Anthony Weishampel. "Letting the Computers Take Over: Using AI to Solve Marketing Problems." California Management Review 61, no. 4 (2019): 156–85. http://dx.doi.org/10.1177/0008125619859318.

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Artificial intelligence (AI) has proven to be useful in many applications from automating cars to providing customer service responses. However, though many firms want to take advantage of AI to improve marketing, they lack a process by which to execute a Marketing AI project. This article discusses the use of AI to provide support for marketing decisions. Based on the established Cross-Industry Standard Process for Data Mining (CRISP-DM) framework, it creates a process for managers to use when executing a Marketing AI project and discusses issues that might arise. It explores how this framewo
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Weege, Maria, and Tanja Zweigle. "AI in Marketing Education: Capabilities required of Marketers today." IU Discussion Papers Marketing und Kommunikation 5, no. 2 (2025): 2. https://doi.org/10.56250/4049.

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This research explores the transformative impact of Artificial Intelligence (AI) on marketing education. The study emphasizes the necessity for marketing students to acquire skills that enable them to effectively utilize AI throughout the marketing management process. By synthesizing insights from theoretical models and empirical research, the paper identifies key competencies required for future marketers, including analytical, technological, and strategic efficiency capabilities. The authors argue that integrating AI into marketing education is essential for preparing students to navigate th
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Dwivedi, Yamini. "Revolutionizing Digital Marketing: The Impact of Generative AI Automation in Transforming Digital Marketing Strategies." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 10 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem37870.

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The rapid advancement of generative artificial intelligence (AI) has sparked a paradigm shift in the digital marketing landscape, offering unprecedented opportunities for automation, personalization, and data-driven decision-making. This paper explores the transformative impact of generative AI automation on digital marketing strategies, emphasizing its role in optimizing content creation, enhancing customer engagement, and improving overall campaign efficiency. By automating repetitive tasks such as copywriting, SEO optimization, and social media management, generative AI allows marketers to
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Isnaini, Santi, and Afif Ikhwanul Muslimin. "The Role of AI in Enhancing Marketing Communication: Implications for Policy and Development in Indonesian Higher Education." Studies in Media and Communication 12, no. 4 (2024): 10. http://dx.doi.org/10.11114/smc.v12i4.7013.

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This research delves into the transformative impact of Artificial Intelligence (AI) on marketing communication within the Indonesian higher education sector. By adopting advanced AI technologies like machine learning algorithms, universities aim to enhance customer engagement, understand student behavior, and personalize marketing strategies. The study combines quantitative data, showcasing the extent of AI adoption and its outcomes, with qualitative insights to highlight the effectiveness of AI in improving key marketing metrics. Post-AI integration, there were significant increases in studen
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Dr. KanwalAmin. "The Impact of Artificial Intelligence on Marketing Strategies: Navigating the Future of Intelligent Marketing." Journal for Social Science Archives 1, no. 2 (2023): 80–90. http://dx.doi.org/10.59075/jssa.v1i2.10.

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This scholarly article explores the profound impact of artificial intelligence (AI) on marketing strategies in the contemporary business landscape. Drawing on a synthesis of academic literature, case studies, and empirical evidence, the article analyzes the transformative effects of AI on various facets of marketing, including customer targeting, personalization, data analysis, and automation. By examining the dynamic interplay between AI and marketing strategies, this article aims to provide insights into how businesses can harness the power of AI for strategic advantage in an increasingly da
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Sharma, Animesh Kumar, and Rahul Sharma. "How artificial intelligence is transforming social media marketing: Analysing its potential and addressing concerns." Journal of Cultural Marketing Strategy 9, no. 1 (2024): 75. https://doi.org/10.69554/cwqb3739.

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Artificial intelligence (AI) has revolutionised social media marketing, offering both significant advantages and potential drawbacks. This paper delves into the dual facets of AI-driven social media marketing techniques, investigating both their advantageous and detrimental impacts. It shows that by leveraging AI, businesses can achieve unprecedented levels of personalisation, engagement and efficiency in their marketing strategies, leading to enhanced customer experiences and increased brand loyalty. AI algorithms analyse vast amounts of data to identify trends and predict consumer behaviour,
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БОНДАРЕНКО, Валерій, та Олександр ОМЕЛЬЯНЕНКО. "ВПЛИВ ШТУЧНОГО ІНТЕЛЕКТУ (AI) НА РОЗВИТОК ІНТЕРНЕТ-МАРКЕТИНГУ". Herald of Khmelnytskyi National University. Economic sciences 334, № 5 (2024): 319–24. http://dx.doi.org/10.31891/2307-5740-2024-334-47.

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This article is aimed at studying the impact of artificial intelligence (AI) on the development of online marketing. The aim of the study is to assess how the use of AI technologies helps to increase the effectiveness of marketing strategies, improve customer interaction, and optimize business processes. The article will discuss various aspects of AI in online marketing, such as automation of advertising campaigns, content personalization, user data analysis, consumer behavior forecasting, and chatbot development. The study will demonstrate how artificial intelligence contributes to increasing
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Minina, Tamara. "The Effect of AI on Marketing Processes." International Journal of Science and Research (IJSR) 12, no. 11 (2023): 70–73. http://dx.doi.org/10.21275/sr231026202614.

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He, Ruichen. "The Potential of AI Technology in Marketing." Frontiers in Business, Economics and Management 17, no. 3 (2024): 371–74. https://doi.org/10.54097/9x1at127.

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With the rapid development and increasing popularity of artificial intelligence technology, its influence has penetrated into every corner of the social economy. The marketing field has also ushered in unprecedented changes. The introduction of AI technology has not only reshaped the strategies and execution methods of traditional marketing, but also opened up new paths for the future development of marketing. This paper conducts a case study on Amazon to explore the wide application direction of AI technology in the field of marketing, especially focusing on how AI learning systems play a key
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Sherovska, Gjorgjina. "Challenges of implementing AI marketing in e-commerce businesses in North Macedonia." Mednarodno inovativno poslovanje = Journal of Innovative Business and Management 16, no. 2 (2024): 1–16. https://doi.org/10.32015/jibm.2024.16.2.7.

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This study delves into the complex landscape of e-commerce in North Macedonia, focusing on the challenges encountered by e-commerce businesses in the implementation of Artificial Intelligence (AI) marketing strategies. Through a comprehensive survey involving 115 active participants in the e-commerce sector, the research identifies and navigates the obstacles that impede the smooth integration of AI marketing in the region. The primary goal is to meticulously investigate the distinctive challenges confronted by North Macedonian e-commerce enterprises when adopting AI marketing. The study sheds
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Peyravi, Bahman, Julija Nekrošienė, and Liudmila Lobanova. "REVOLUTIONISED TECHNOLOGIES FOR MARKETING: THEORETICAL REVIEW WITH FOCUS ON ARTIFICIAL INTELLIGENCE." Business: Theory and Practice 21, no. 2 (2020): 827–34. http://dx.doi.org/10.3846/btp.2020.12313.

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Information technology and its implications have shown significant developments in the last decades. The internet revolution and digital marketing have created a shrinking force on mass media advertising. They have formed the backbone of personalisation, marketing automation, neuromarketing, viral marketing, voice recognition, and conversion optimisation, and thus, Artificial Intelligence (AI) has risen as the phenomenon in marketing activities. Theoretical analysis of relevant researches on AI tools and future trends, presentation of conceptual framework and methodology design, and presentati
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