Academic literature on the topic 'Marketing automation trends'

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Journal articles on the topic "Marketing automation trends"

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Ashish Babubhai Sakariya. "Future Trends in Marketing Automation for Rubber Manufacturers." Kuwait Journal of Machine Learning 2, no. 1 (2024): 12–19. https://doi.org/10.52783/kjml.274.

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The technologies have been brought to an advanced stage propelled by advanced marketing automations that have changed the rubber manufacturing industry at a revolutionary stage. On the other side of upwardly mobile ecosystem lies these growing trends that leverage artificial intelligence, machine learning and predictive analytics to likely revolutionize the very traditional marketing process. Global market dynamics and challenges, industry specific technological innovations and user insights of Rubber manufacturers are analyzed in this study which helps Rubber manufacturers improving the custo
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Rudianto, Rudianto, Misrofingah Misrofingah, Diansanto Prayoga, Juliana Juliana, Saipul Al Sukri, and Kok Shiong Pong. "Understanding Management Marketing in Digitalization and Automation Times." Ekuilibrium : Jurnal Ilmiah Bidang Ilmu Ekonomi 17, no. 2 (2022): 110–21. http://dx.doi.org/10.24269/ekuilibrium.v17i2.2022.pp110-121.

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This study discusses some of the latest trends in business marketing governance in the era of Automation by emphasizing what is happening in business today compared to the past. This study is based on published data in the literature and internet-based data from various research articles, newspaper reports, and various website sites that actively discuss marketing trend issues in digital technology days. We understand that the business now and in the past still have the same goal, but what makes the difference is the marketing work system that used to be conventional but has now switched to di
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P, Dr Periasamy, and Dr Dinesh N. "Data Driven Marketing Strategic Trends in 2022." International Journal of Science, Engineering and Management 9, no. 6 (2022): 24–27. http://dx.doi.org/10.36647/ijsem/09.06.a005.

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This paper is an attempt to find out the significant data driven marketing strategic trends. The author has developed a model which will help the readers to under the data driven marketing strategies in the recents trends in the world very easily. This model is called EPCMASQ , a model of the author, That is Ethical Information, Personalized Marketing Automation, Better Customer Experience, Multi-channel Experience, Artificial Intelligence, Search Engine Optimization and Qualitative Data. With which the concept of data driven marketing strategies explained well.
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Jarosławska-Sobór, Sylwia, Mateusz Dulewski, and Filip Wasilewski. "Automation Marketing in Research Unit — Real Value or Effectiveness Fantasy." Marketing of Scientific and Research Organizations 34, no. 4 (2019): 21–42. http://dx.doi.org/10.2478/minib-2019-0050.

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Summary The aim of the article is to present the issue of Marketing Automation (MA, automation of marketing) and the possibilities of its use in the operational activity of research and scientific entities. MA is a modern, advanced technological solution aimed at improving marketing processes and wider use of data on the market and customers. In recent years it has been one of the most important trends in modern marketing, at the same time posing a real challenge for organizations operating in the field of science and research. The article discusses the experience of the Central Mining Institu
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CHUKURNA, Оlena, Tetіana TARDASKINA, Yelena GORDEYEVA, and Serhii BAZYKA. "RESEARCH OF MODERN DIGITAL MARKETING TRENDS." Development Service Industry Management, no. 3 (August 29, 2024): 64–73. http://dx.doi.org/10.31891/dsim-2024-7(10).

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Today's digital marketing is undergoing significant changes due to digital transformation. The article explores the key trends shaping the modern digital marketing paradigm, including process automation, content personalization, the use of big data, as well as the latest digital technologies such as VR and AR, artificial intelligence. The article pays special attention to the challenges and opportunities that companies face in the process of adapting to the digital environment. The article analyzes modern digital marketing tools. Today's digital marketing tools are essential for any business b
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Rimpy, Chhabra, Manchanda Muskan, and Manchanda Kashish. "Digital Transformation in Marketing: Strategies, Challenges, and Future Trends." International Journal of Engineering and Management Research 15, no. 2 (2025): 213–18. https://doi.org/10.5281/zenodo.15515996.

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Digital transformation has revolutionized marketing, redefining how businesses engage with consumers. The shift from traditional marketing to digital strategies has been driven by technological advancements, data analytics, artificial intelligence, and automation. This paper explores the impact of digital transformation on marketing, examining key trends, challenges, and future directions. Through a review of literature and empirical data, the study highlights the role of digital tools, social media, and personalized marketing in enhancing customer experience and business growth.
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Huang, Junting. "Artificial Intelligence in Internet Marketing and Its Future Trends." Advances in Economics, Management and Political Sciences 110, no. 1 (2024): 139–46. http://dx.doi.org/10.54254/2754-1169/110/2024ed0132.

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In the digital era of the 21st century, Artificial Intelligence (AI) has become a core technology that drives innovation and efficiency in Internet marketing. This paper explores in detail the applications of AI in Internet marketing, including personalized marketing, customer service automation, market analysis, and marketing channel optimization. These applications not only improve the market competitiveness and customer satisfaction of enterprises but also promote the personalization and efficiency of marketing strategies. However, the widespread application of AI technology is also accompa
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Wagobera Edgar Kedi, Chibundom Ejimuda, Courage Idemudia, and Tochukwu Ignatius Ijomah. "AI Chatbot integration in SME marketing platforms: Improving customer interaction and service efficiency." International Journal of Management & Entrepreneurship Research 6, no. 7 (2024): 2332–41. http://dx.doi.org/10.51594/ijmer.v6i7.1327.

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This review paper examines the integration of AI chatbots in small and medium-sized enterprise (SME) marketing platforms, focusing on their impact on customer interaction, service efficiency, and future implications. AI chatbots, powered by advancements in natural language processing and machine learning, have revolutionized customer service by automating routine tasks, providing 24/7 availability, and personalizing interactions based on user data. The paper explores historical developments, current trends, and applications of chatbots in SMEs, highlighting benefits such as cost efficiency and
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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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Krasnov, Alex, Valentin Nikonorov, and Marina Yanenko. "Digital platforms based marketing innovations: new development trends." SHS Web of Conferences 44 (2018): 00049. http://dx.doi.org/10.1051/shsconf/20184400049.

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Marketing innovations in the digital economy are considered as the most important factor for the further digital economy growth. The main trends for development of the information and communication technologies market are studied. The basic types of innovations are analyzed. An algorithm for generation of competitive innovative marketing strategies is proposed. A business strategy that takes into account the digital technologies development is supplemented by a number of innovative components. The main lines for generation of a digital platform for marketing activities transformation with subs
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Dissertations / Theses on the topic "Marketing automation trends"

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Guilherme, Tatiana Brito. "Retail banks recommendations to properly implement marketing automation strategy?" Master's thesis, 2017. http://hdl.handle.net/10400.14/22199.

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The concept of Marketing Automation emerged from an urge to face the major changes brought by the fast evolution of technology and the continuous increase in supply and demand in this field. This new modern era of marketing not only improves marketers’ efficiency, but also gives an answer to the self-educated buyer’s demands. In order to achieve the desired marketing results, businesses have to employ digital marketing and communication services. These services help marketers to improve campaigns, measuring, scoring and lead nurturing, allowing better practices of Customer Relationship
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Book chapters on the topic "Marketing automation trends"

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Kunz, Werner H., Jochen Wirtz, and Stefanie Paluch. "Intelligent Automation, Service Robots, and AI – the Service Revolution is in Full Swing." In Contemporary Trends in Marketing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36589-8_6.

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Wernbom, John, Kristoffer Tidemand, and Eriks Sneiders. "Benefits of Implementing Marketing Automation in Recruitment." In Trends and Innovations in Information Systems and Technologies. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45688-7_24.

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Schillaci, Zachary. "LLM Adoption Trends and Associated Risks." In Large Language Models in Cybersecurity. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54827-7_13.

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AbstractThe emergence of Large Language Models (LLMs) is expected to impact the job market significantly, accelerating automation trends and posing a risk to traditionally creative-oriented jobs. LLMs can automate tasks in various fields, including design, journalism, and creative writing. Companies and public institutions can leverage generative models to enhance productivity and reduce workforce requirements through machine-assisted workflows and natural language interactions. While technical skills like programming may become less important in certain roles, generative models are unlikely t
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Zahidi, Farah, Richa Verma, and Rahil Feroz. "Realignment of marketing strategies with IoT and automation – Implications, opportunities and issues." In Emerging Trends in IoT and Computing Technologies. Routledge, 2023. http://dx.doi.org/10.1201/9781003350057-2.

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Fresneda, Jorge, and David Gefen. "Automatic Methods for Online Review Classification: An Empirical Investigation of Review Usefulness—An Abstract." In Creating Marketing Magic and Innovative Future Marketing Trends. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45596-9_242.

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Herrmann, Torsten. "Account-Based Marketing: Much More Than a New Automation Trend." In Management for Professionals. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20040-3_11.

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John, Asha, Pankaj Kumar Tyagi, and Vipin Nadda. "Future Trends." In AI Innovations in Service and Tourism Marketing. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-7909-7.ch016.

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The chapter investigates the ways in which artificial intelligence (AI) is driving innovation, improving personalization, and forecasting consumer behavior in service marketing. More personalized and engaging consumer experiences are being produced by AI technology like voice-activated systems and augmented reality. By using advanced data analytics and automation, the integration of AI into service marketing also improves efficiency and quality of service. But the broad use of AI poses serious ethical problems, especially with regard to bias and privacy. It is imperative to tackle these concer
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Kalimuthu, M., R. Jith, V. Sripriya, et al. "Intelligent Process Automation and Its Implications for the Marketing Industry." In Advances in Computational Intelligence and Robotics. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-5380-6.ch016.

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Intelligent process automation (IPA) integrates artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and data analytics to streamline business processes, enhance efficiency, and drive innovation. IPA automates complex tasks, adapts to changing conditions, and learns from data patterns, significantly transforming modern business practices. This chapter explores IPA's implications for the marketing industry, focusing on its technological components, applications, benefits, and challenges. IPA enables organizations to automate repetitive tasks, optimize operation
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N. Subha, Ms, Mr M. Gowtham, Mr S. Jegan, and Mr Lingeshwaran M. ""SOCIAL SPHERE REVOLUTION: AI'S IMPACT ON TRANSFORMING SOCIAL MEDIA MARKETING"." In Futuristic Trends in Management Volume 3 Book 25. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bhma25p1ch12.

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The fusion of social media with artificial intelligence (AI) has sparked a revolutionary change in the dynamic world of modern marketing. This chapter, titled "Social Sphere Revolution: AI's Impact on Transforming Social Media Marketing," delves into the profound shifts occurring in the landscape of social media strategies. As AI technology continues to mature, its integration with social media marketing has ushered in a new era of personalised, engaging, and data-driven interactions between brands and their audience. This chapter begins by demystifying the role of AI in social media marketing
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Rana, Sudhir, Sandeep Kumar Singh, and Ajay Chandel. "AI in Customer Service Automation." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3373-0219-5.ch009.

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This chapter explores the evolving role of AI in customer service automation, focusing on balancing efficiency with human interaction. AI technologies, including advancements in Natural Language Processing (NLP), predictive analytics, and integration with Augmented Reality (AR) and Virtual Reality (VR), are transforming customer service by enhancing personalization and streamlining operations. However, challenges such as maintaining emotional intelligence, ensuring ethical use of AI, and addressing privacy concerns remain critical. The chapter discusses strategies for leveraging AI while prese
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Conference papers on the topic "Marketing automation trends"

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V, Manimegalai, Senthilkumar N, Vijayachander V. S, K. Malarkodi, Mohanraj G, and K. Grace Mani. "Consumer Behavior Trends - The Influence of Social Media Marketing on Brand Loyalty Among Millennials." In 2025 International Conference on Automation and Computation (AUTOCOM). IEEE, 2025. https://doi.org/10.1109/autocom64127.2025.10957615.

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Makartseva, Yuliia. "AUTOMATION OF MARKETING PROCESSES USING AI: CONCEPTUAL APPROACHES AND EMPIRICAL RESEARCH." In THEORETICAL AND EMPIRICAL SCIENTIFIC RESEARCH: CONCEPT AND TRENDS, chair Iryna Lysenko. European Scientific Platform, 2025. https://doi.org/10.36074/logos-07.03.2025.008.

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Cogoljević, Maja, Katarina Njegić, and Vladan Cogoljević. "Current state and perspectives of digital marketing in the era of artificial intelligence." In Employment, Education and Entrepreneurship 2024. Faculty of Business Economics and Entrepreneurship, 2024. https://doi.org/10.5937/eee24037c.

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This paper explores the role and impact of artificial intelligence (AI) in the field of digital marketing, analyzing current applications, benefits, challenges and future trends. In an era of rapid digital transformation, the integration of AI technologies into marketing strategies represents a paradigm shift that fundamentally changes the way organizations approach targeting, engaging and understanding their target groups. The research covers a wide range of applications of AI in digital marketing, including content personalization, predictive analytics, campaign optimization, process automat
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Suprun, Tetiana. "MEDIA AND ENTERTAINMENT OF THE FUTURE: THE ROLE OF ARTIFICIAL INTELLIGENCE IN CONTENT CREATION." In “Müasir incəsənət məkanında süni intellekt: problemlər və perspektivlər” Beynəlxalq elmi-nəzəri konfrans. İnformasiya Texnologiyaları İnstitutu, 2025. https://doi.org/10.25045/asucaai.2025.24.

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Artificial intelligence (AI) is radically changing the media and entertainment industry by automating the processes of content creation and consumption, as well as providing personalized experiences for users. AI algorithms are actively used to select individual recommendations on platforms such as Netflix, YouTube, Spotify, which are based on previous preferences and views. In addition, AI is used to create text content, music, video and even scripts, which significantly speeds up production and reduces costs. Virtual characters and avatars created with AI can interact with real users and bec
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Vijaya, G. S. "The Role of Artificial Intelligence in Supply Chain Optimization." In 7th World Conference on Business, Management, Finance, Economics, and Marketing. Eurasia Conferences, 2025. https://doi.org/10.62422/978-81-981590-7-6-002.

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Artificial intelligence (AI) is transforming supply chain management by enhancing transportation, inventory control, and demand forecasting. Unlike traditional methods, AI leverages machine learning and real-time data analytics to make faster and more accurate decisions. It draws insights from various sources such as weather reports, social media trends, and sales data to predict customer demand effectively. Companies like Amazon and Walmart use AI to reduce excess inventory and ensure product availability. In inventory management, AI automates restocking, forecasts reorder points, and detects
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C Mersinger, Molly, Daniel Graff, Carmen Van Ommen, Sabrina Ehrenfort, Jamie Talley, and Alex Chaparro. "Driver Monitoring Systems: Design Considerations for Aging Drivers." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003828.

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A number of automotive manufacturers including General Motors and Tesla offer vehicles with advanced semi-autonomous driving functions that the driver is expected to monitor. Monitoring by the human driver is essential given that these systems are known to have difficulty handling driving situations that human drivers negotiate easily. The human operator must, however, adjust to this new supervisory role of monitoring system operations rather than traditional driving. Additionally, drivers may trust the automation too much, believing the systems are more capable than they are and not actively
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Wang, Jinguo, Na Wang, and Yang Gao. "The Development Trend of the Medical Device Marketing." In 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016). Atlantis Press, 2017. http://dx.doi.org/10.2991/ifmca-16.2017.101.

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Turlacu (lazar), Luizamaria, Tania Herrezeel, Gheorghe Orzan, and Ralucagiorgiana Chivu. "STRATEGIC TECHNOLOGIES: INNOVATION IN HIGHER EDUCATION IN ROMANIA." In eLSE 2019. Carol I National Defence University Publishing House, 2019. http://dx.doi.org/10.12753/2066-026x-19-053.

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Technology is seen as an enabler for gaining new capabilities in universities. Nowadays, higher education institutions have seen how technology enhances the competitive advantage for not only the business environment but as well for their teachers and students. Innovation is mainstream and is creating opportunities to access and learn technologies that were not possible before. Universities should no longer be behind technology compared with other sectors. Although this is not yet explored, new technologies that as next-generation security, the blockchain, cloud, AI conversational interface, a
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