Relevant bibliographies by topics / Personalized marketing strategies

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Personalized marketing strategies'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Personalized marketing strategies"

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Tong, Siliang, Xueming Luo, and Bo Xu. "Personalized mobile marketing strategies." Journal of the Academy of Marketing Science 48, no. 1 (2019): 64–78. http://dx.doi.org/10.1007/s11747-019-00693-3.

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Rivera-Montaño, Sergio A. "Impacto de la inteligencia artificial (IA) en la efectividad de las estrategias de marketing personalizado." Revista científica anfibios 6, no. 2 (2023): 70–81. http://dx.doi.org/10.37979/afb.2023v6n2.138.

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With the advent of technological advancement, AI has emerged as a powerful tool to gather and analyze vast amounts of data, allowing companies to offer highly personalized marketing experiences. By reviewing the literature, this scientific article examines how AI has transformed how companies collect information about their customers, analyze it, and use those results to develop personalized marketing strategies. In addition, it investigates how AI has improved the effectiveness of these strategies by providing a deeper understanding of consumer tastes, preferences, and behavior. The paper pre
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Jaiswal, Anchal. "Impact of Artificial Intelligence in Companies Marketing Strategies." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32762.

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In today's digitally driven marketplace, personalized marketing has emerged as a pivotal strategy for businesses aiming to engage customers on a deeper level and foster long-term relationships. With the advent of Artificial Intelligence (AI), personalized marketing has reached unprecedented levels of customization and effectiveness. This master's thesis delves into the intricate relationship between AI and personalized marketing strategies, focusing on how AI-powered techniques can revolutionize customer engagement and satisfaction. The research explores various facets of personalized marketin
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M, Harshavardhan, Jyoti Ainapur, Kalyan Rao. K, et al. ""Leveraging Artificial Intelligence in Marketing: Case Studies on Enhancing Personalization, Customer Engagement, and Business Performance"." International Journal of Business and Management Invention 13, no. 9 (2024): 131–36. http://dx.doi.org/10.35629/8028-1309131136.

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Artificial Intelligence (AI) has become a critical asset in the marketing strategies of modern companies. This paper explores how AI is utilized in marketing to automate, optimize, and personalize various functions, improving customer engagement, retention, and ROI. Through case studies of Amazon’s recommendation engine and Netflix’s personalized content, this study highlights how AI-driven systems enhance decision-making, streamline operations, and create hyper-targeted marketing strategies. These cases demonstrate AI’s ability to drive conversions, personalize user experiences, and efficient
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SINGH, PIYUSH KUMAR. "The Role of Artificial Intelligence in Personalized Marketing Strategies of AMAZON." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32818.

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In today's digitally driven marketplace, personalized marketing has emerged as a pivotal strategy for businesses aiming to engage customers on a deeper level and foster long-term relationships. With the advent of Artificial Intelligence (AI), personalized marketing has reached unprecedented levels of customization and effectiveness. This master's thesis delves into the intricate relationship between AI and personalized marketing strategies, focusing on how AI-powered techniques can revolutionize customer engagement and satisfaction. The research explores various facets of personalized marketin
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Sodiq Odetunde Babatunde, Opeyemi Abayomi Odejide, Tolulope Esther Edunjobi, and Damilola Oluwaseun Ogundipe. "THE ROLE OF AI IN MARKETING PERSONALIZATION: A THEORETICAL EXPLORATION OF CONSUMER ENGAGEMENT STRATEGIES." International Journal of Management & Entrepreneurship Research 6, no. 3 (2024): 936–49. http://dx.doi.org/10.51594/ijmer.v6i3.964.

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This paper explores the transformative potential of Artificial Intelligence (AI) in personalizing marketing strategies. It delves into the theoretical underpinnings of consumer engagement sand investigates how AI can be leveraged to develop targeted and relevant marketing experiences. AI can personalize messages based on consumer behavior and demographics, influencing the processing route and maximizing engagement. This theory explores the use of game mechanics to motivate and engage users. AI can personalize gamified marketing experiences, tailoring rewards and challenges to individual consum
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Mr., Gunjal Sunil Shivaji. "Personalized Marketing Strategies and Their Effect on Online Sales." International Journal of Advance and Applied Research S6, no. 22 (2025): 716–18. https://doi.org/10.5281/zenodo.15532935.

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<em>This research paper explores the impact of personalized marketing strategies on online sales. With the rise of artificial intelligence, big data, and machine learning, businesses are increasingly leveraging personalized marketing to enhance customer engagement and drive conversions. This paper examines the effectiveness of various personalization techniques, such as recommendation engines, email marketing, targeted advertisements, and dynamic pricing. Furthermore, it discusses the challenges and ethical concerns associated with data privacy and consumer trust. The findings suggest that whi
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Sharma, Vikas. "The Power of Personalized Marketing: How Tailored Strategies Influence Consumer Engagement." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50127.

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ABSTRACT This research project focuses on examining the impact of personalized marketing strategies on consumer engagement in the digital age. As technology continues to evolve, businesses are increasingly relying on tools such as Artificial Intelligence (AI), big data analytics, and real-time user behavior tracking to deliver marketing messages tailored to individual customer preferences. These personalized marketing efforts—ranging from targeted advertisements and customized email campaigns to individualized product recommendations—aim to create more meaningful interactions between brands an
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Dubey, Harsh. "The Power of Personalized Marketing: How Tailored Strategies Influence Consumer Engagement." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50270.

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ABSTRACT This research project focuses on examining the impact of personalized marketing strategies on consumer engagement in the digital age. As technology continues to evolve, businesses are increasingly relying on tools such as Artificial Intelligence (AI), big data analytics, and real-time user behavior tracking to deliver marketing messages tailored to individual customer preferences. These personalized marketing efforts—ranging from targeted advertisements and customized email campaigns to individualized product recommendations—aim to create more meaningful interactions between brands an
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Susanti, Leni. "Product Marketing Strategy Using Digital Marketing Technology." Journal of Social Science and Business Studies 3, no. 1 (2025): 386–91. https://doi.org/10.61487/jssbs.v3i1.128.

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The rapid evolution of digital marketing technologies has transformed the landscape of product marketing, enabling businesses to reach broader audiences and deliver personalized experiences. This paper explores effective product marketing strategies using digital marketing tools and technologies, focusing on their impact on customer engagement, brand awareness, and sales performance. Key strategies include leveraging social media platforms, search engine optimization (SEO), content marketing, and data-driven analytics to enhance campaign effectiveness. Integrating artificial intelligence (AI)
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Dissertations / Theses on the topic "Personalized marketing strategies"

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Henriksson, Sam. "Technology Strategies for Personalized Marketing in the Computer Game Industry." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-170615.

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The computer game industry has during the past years performed a paradigm shift from physical to digital online retailing based on game portals. Due to the many possibilities Big Data in combination with personalized marketing provides, especially in the form on in-game shops in the software, it is interesting for the computer game companies to investigate how this marketing approach can be performed most beneficially. Since the computer game industry has not been thoroughly investigated in relation to personalized marketing and customer integrity, it has in this study been performed as a pred
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Nilsson, Emma, and Alexandra Pierce. "The game-changer : E-retailer's strategies in CRM and personalized marketing in concordance with GDPR." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-95689.

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The purpose of this thesis is to provide a deeper knowledge of how GDPR has affected Swedish e-retailers CRM and personalized marketing in connection to trust and privacy. The changed prerequisites elicited a need for in-depth knowledge of the affects.  To conduct the study, the literature review that has been established included theories that are related to the concepts CRM, personalized marketing, trust and privacy. The concepts resulted in a conceptual framework that demonstrates the relationship between them and their different theories. The conceptual framework has been used to analyze t
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Izquierdo, Pastor Adrià. "Online Personalized Communication : A quantitative study on promotional strategies to increase customer satisfaction." Thesis, Karlstads universitet, Avdelningen för företagsekonomi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-32756.

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Nowadays when users navigate in internet they find lots of types of communication scattered across diverse sites. Due to the lack of users’ interests in advertisements, primarily caused by not matching their preferences, today’s advertisements have a low rate of success. Recently, owing to semantic web generation, some companies started to use personalized marketing in communication as a way to turn the conversions around and thus increase customer retention and loyalty. As a matter of fact, the retention and loyalty stages on the internet are, on average, the least crafted of the whole cycle.
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Books on the topic "Personalized marketing strategies"

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Jai, Tunmin Catherine, and Jihyun Vick. Omnichannel Retailing for the Fashion Business. Bloomsbury Publishing Inc, 2025. https://doi.org/10.5040/9781501377068.

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Retailing is an ever-changing facet in the fashion industry. Where brick-and-mortar used to reign supreme, digital is the current go-to for most consumers. Omnichannel retailing makes this process more seamless and has become the industry standard. This book covers both the strategic and practical sides of omnichannel retailing, with a focus on utilization of US-based e-commerce platforms. This textbook consists of three parts: 1) Build- how to build an omnichannel retail business; 2) Market- how to market via different digital marketing channels; and 3) Operate- the operational side of omnich
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Book chapters on the topic "Personalized marketing strategies"

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Chowdary, K. Mani Teja, Maniteja Vallepu, A. Naga Sai Purushotham, and Neelam Kumari. "Personalized Marketing and Recommendation Systems." In Predictive Analytics and Generative AI for Data-Driven Marketing Strategies. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003472544-7.

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Roy, Sunil Kumar, R. Anitha, R. Reka, Syeda Hina Bilfaqih, and S. Surjith Bharathi. "Innovative Medical Marketing Strategies Powered by Machine Learning." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-6225-9.ch007.

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This chapter discusses the transformative effect of Machine Learning on medical marketing strategies. With the healthcare landscape becoming increasingly data-driven, ML provides innovative solutions for enhancing patient engagement, optimizing marketing efforts, and improving outcomes. The integration of ML technologies in medical marketing enables personalized patient experiences, predictive analytics, and real-time insights, empowering healthcare organizations to better understand their audiences. This brings actionable insights for healthcare marketers: allowing them to personalize the message, refine campaigns, and increase ROI by sifting through large datasets. Beyond that, ML enhances the ethical marketing practice: in this regard, privacy on patients' data gets boosted, HIPAA compliance occurs, and trust develops. Various case studies in this chapter successfully implemented ML-driven strategies for practice guidance in healthcare marketing while employing the most advanced technologies of industry trends.
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Salman, Faraed Dawood. "Marketing Strategies in Dentistry." In Advances in Medical Technologies and Clinical Practice. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3872-8.ch010.

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This chapter's review of literature examines the crucial role played by digital marketing and social media in the evolution of dental practices and the improvement of patient involvement. It investigates ethical concerns, patient perspectives, and the influence of influencer marketing on the reputation of practices. The chapter also delves into the intricate relationship between social factors, self-perception, and consumer decisions in influencing patterns of oral healthcare consumption. Moreover, it emphasizes the transformative capacity of technology in advancing oral health and enabling remote consultations. The outcomes emphasize the significance of personalized marketing tactics, patient-oriented communication methods, and the call for additional research to address emerging barriers and foster ethical marketing practices in the digitalization era.
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Baykal, Bilge. "Connected Consumers: Unleashing the Power of IoT for Personalized Marketing." In Sosyal Bilimlerde Akademik Araştırma ve Değerlendirmeler - IV. Özgür Yayınları, 2023. http://dx.doi.org/10.58830/ozgur.pub261.c1432.

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This article delves into the intriguing synergy between the Internet of Things (IoT) and personalized marketing, two transformative domains in contemporary business landscapes. As IoT technology continues to proliferate, it offers unprecedented opportunities for businesses to collect, analyze, and utilize vast amounts of data from connected devices. Simultaneously, personalized marketing strategies have gained prominence, emphasizing tailored experiences for consumers. This research seeks to understand the dynamic relationship between IoT and personalized marketing, examining how IoT technologies enable enhanced personalization in marketing efforts.&#x0D; The study employs an exploratory approach based on a compherensive literature review which reveal that IoT facilitates personalized marketing by providing real-time data on consumer behavior, preferences, and contextual information. This data empowers businesses to craft highly personalized marketing campaigns, resulting in increased consumer engagement associated with IoT-driven personalized marketing, including data privacy concerns and the need for transparent communication. It also explores the role of artificial intelligence and machine learning algorithms in optimizing marketing strategies within IoT ecosystems.&#x0D; In conclusion, this research underscores the evolving landscape of personalized marketing through the lens of IoT, shedding light on the potential for businesses to forge deeper connections with consumers. As IoT continues to evolve, understanding its implications for personalized marketing becomes imperative for businesses aiming to stay competitive in an increasingly data-driven and customer-centric marketplace.
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Mohammadi, Sardar, Sajjad Pashaie, Seyyed Iman Ghaffarisadr, and Mike Rayner. "Opportunities and Challenges of Leveraging Artificial Intelligence (AI) in Sport Marketing." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-4361-6.ch009.

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As digital technologies continue to evolve and consumer behavior shifts, AI has become a critical tool for enhancing marketing strategies in the highly competitive sports industry. The use of artificial intelligence (AI) in sports marketing as an important innovation brings many opportunities and challenges. The emergence of AI as an effective tool in sports marketing allows for more detailed analysis of fan behavior and the creation of personalized strategies. Various AI technologies, including machine learning (ML), natural language processing (NLP), and computer vision (CV), are introduced and real-world examples of their applications in sports marketing are presented. These opportunities include personalized engagement with fans, data-driven strategies for personalization and optimization of revenue streams through predictive analytics. In this chapter, the current state of sports marketing as well as the successful implementation of AI in sports marketing are reviewed.
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Lazrak, Youssra, Ouijdane Amrani, and Amina El Idrissi Tissafi. "Big Data and Consumer Behavior." In AI and Data Engineering Solutions for Effective Marketing. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3172-9.ch013.

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This study investigates the impact of big data on online consumer satisfaction and purchasing behavior within the Moroccan context, addressing the gap in understanding its effects on consumer satisfaction in specific markets. Through a quantitative analysis, the authors explore how big data's application in personalized marketing strategies influences consumer behaviors and satisfaction. The research reveals the critical role of product quality and personalized recommendations in enhancing online consumer satisfaction, despite the general assumption of price as a primary factor. These findings suggest that big data, while potent in tailoring marketing efforts, shows varied significance in directly influencing consumer satisfaction levels in Morocco. The study contributes to the digital marketing literature by providing insights into the strategic application of big data in enhancing consumer engagement and satisfaction, offering managerial implications for leveraging technology in marketing strategies.
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Iyappan, A., S. Vevek, Ewelina Idziak, and Venkataramana Karri. "Artificial Intelligence in Marketing." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-3897-2.ch002.

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In today's highly competitive and digitally transformed marketplace, startups face unique challenges in achieving sustainable growth and establishing a competitive advantage. This chapter explores the transformative potential of artificial intelligence (AI) in shaping marketing strategies for startups. By leveraging AI-driven tools and techniques, startups can enhance customer acquisition, personalize marketing efforts, optimize resource allocation, and improve operational efficiency. The chapter presents a comprehensive framework that integrates AI technologies such as machine learning, natural language processing, and predictive analytics into marketing strategies designed specifically for startups. Through case studies and industry insights, we examine how AI can streamline processes like customer segmentation, personalized content creation, and automated campaign management. Furthermore, the chapter highlights the critical role of data-driven decision-making in driving customer engagement and fostering long-term loyalty.
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Krishna Pasupuleti, Murali. "Transforming Digital Marketing with AI: Strategies for Personalized Content and Ethical Advertising." In AI in Digital Marketing: Personalizing Content and Advertising Strategies. National Education Services, 2024. http://dx.doi.org/10.62311/nesx/66296.

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Abstract: This chapter explores the transformative impact of artificial intelligence (AI) on digital marketing, focusing on strategies for delivering personalized content and ensuring ethical advertising. By leveraging AI, marketers can now analyze consumer behavior with precision, enabling targeted content, automated ad placement, and real-time adjustments that enhance user engagement and conversions. The chapter examines foundational AI techniques, such as recommendation engines, predictive analytics, and natural language processing, which drive personalization at scale. Additionally, it addresses critical ethical considerations, including data privacy, transparency in AI-driven decisions, and reducing algorithmic bias to ensure fair, trustworthy, and responsible marketing practices. Looking ahead, this chapter highlights emerging trends like hyper-personalization, ethical AI frameworks, and the integration of AI with technologies like AR/VR and IoT, offering a forward-looking perspective on AI's role in shaping consumer-centric and ethical digital marketing. Keywords: Artificial intelligence, digital marketing, personalized content, ethical advertising, consumer behavior, recommendation engines, predictive analytics, natural language processing, data privacy, transparency, algorithmic bias, hyper-personalization, responsible marketing, AR/VR, IoT, consumer engagement.
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Marwah, Aparna, Daljeet Singh Bawa, and Taruna Gulati. "Artificial Intelligence in Chatbots and Conversational Marketing." In Practical Strategies and Case Studies for Online Marketing 6.0. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-2058-8.ch004.

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AI is changing chatbots and conversational marketing by providing brands with the ability to deliver personalized, efficient, at-scale, and real-time customer interactions. AI-based chatbots utilize NLP, ML and predictive analytics to improve customer engagement, automatically respond to queries, and facilitate smooth and engaging conversational experiences. These tools, powered by AI, enhance 24/7 customer support, lead generation and personalized recommendations, thereby optimising the overall marketing process. It] integrates with a number of social media websites, messaging apps and websites, provide a single customer experience and benefit. Yet obstacles still exist to developing trust, such as ethics, pricing, data privacy, and AI bias, all of which need to be resolved before the concept of AI-based interactions becomes reliable and responsible. AI in conversational marketing is evolving toward adaptive learning, hyper-personalization, and improved contextual understanding, ensuring chatbots remain a significant part of contemporary digital marketing strategies.
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Sharma, Vikas, and Indraneel Bose. "Unlocking AI's Potential in Customer Service Marketing." In AI Innovations in Service and Tourism Marketing. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-7909-7.ch005.

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The integration of artificial intelligence (AI) in customer service marketing is revolutionizing the way businesses interact with their customers. This chapter explores the transformative potential of AI technologies in enhancing customer service experiences and optimizing marketing strategies. AI-driven tools such as chatbots, predictive analytics, and personalized recommendations are enabling companies to provide timely, efficient, and personalized interactions that meet the evolving expectations of customers. By analyzing large datasets, AI can identify patterns and trends, allowing businesses to anticipate customer needs and tailor their marketing efforts accordingly. The chapter discusses the implementation of AI in various customer service scenarios, highlighting case studies where AI has successfully augmented traditional marketing approaches. This research underscores the importance of strategic AI adoption and provides insights into future trends that will shape the landscape of customer service marketing.
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Conference papers on the topic "Personalized marketing strategies"

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Candrea, Adina Nicoleta, Ioana Simona Ivasciuc, and Ana Ispas. "ChatGPT TECHNOLOGY AS A STRATEGIC TOOL IN ECOTOURISM DESTINATION MARKETING: A ROMANIAN CASE STUDY." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/s16/91.

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In the era of digital communication, the utilization of technology in tourism marketing strategies has gained paramount importance. As digital technologies continue to evolve, their impact on marketing strategies across various sectors has become increasingly significant. The practical potential of AI-generated content may be considered by destination marketing practitioners to create personalized, effective campaigns that resonate with diverse audiences, enhancing their connection with travelers. Therefore, this paper specifically examines how advanced artificial intelligence, such as OpenAI�
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Xu, Min. "Data-Driven Customer Segmentation in E-Commerce using K-Means Clustering for Personalized Marketing Strategies." In 2025 3rd International Conference on Data Science and Information System (ICDSIS). IEEE, 2025. https://doi.org/10.1109/icdsis65355.2025.11071130.

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Manoharan, Geetha, A. B. Mishra, Sri Bhargav Krishna Adusumilli, Madhu Chavva, Harini Damancharla, and D. Sahaya Lenin. "Supervised Learning for Personalized Marketing Strategies." In 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI). IEEE, 2024. http://dx.doi.org/10.1109/accai61061.2024.10602307.

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Guzun, Stela. "Elaborating marketing strategies for a successful business." In Universitas Europaea: Towards a Knowledge Based Society Through Europeanisation and Globalisation. Free International University of Moldova, 2025. https://doi.org/10.54481/uekbs2024.v1.36.

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Developing marketing strategies for business success is an essential process in developing and maintaining a profitable market presence. It involves a series of steps and strategic decisions aimed at attracting customers, increasing sales and building a strong brand image. Marketing strategies are planned plans or approaches to achieve a business's goals in terms of marketing and selling products or services. There are various marketing strategies, and choosing the right strategy depends on a business's specific goals, target audience, and available resources. The online environment has also h
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Saleem, Dr Nimra, and Kirti Chhattani. "THE IMPACT OF AI-BASED PERSONALIZATION MARKETING OF BRANDS (WITH SPECIAL REFERENCE TO NYKAA)." In Transforming Knowledge: A Multidisciplinary Research on Integrative Learning Across Disciplines. The Bhopal School of Social Sciences, 2025. https://doi.org/10.51767/ic250125.

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Everybody knows the craze and love for machines of GenZs and GenAlphas but due to the high consumption of social media and online shopping, sometimes it’s very difficult for the brands to just rely on their high quality products that are just there in the market without any marketing. Especially, if we talk about beauty industry, we all know how cluttered it is and entering a market where trends matters the most, spending a worthful amount of money on marketing is not a waste. In recent trends, AI is transforming the beauty product marketing trends by enabling personalized and efficient custom
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Šiđanski, Jelena. "Artificial Intelligence in the Function of Content Creation in Digital Marketing." In 29th International Scientific Conference Strategic Management and Decision Support Systems in Strategic Management. University of Novi Sad, Faculty of Economics in Subotica, 2024. http://dx.doi.org/10.46541/978-86-7233-428-9_376.

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The rapid advancement of techniques and technologies leads to the emergence of innovative solutions that facilitate, enhance, and shorten the time required for work. Companies are searching for innovative strategies that will help them more easily contend with growing competition and reach target desired consumers more precisely. Opportunities for business development increase through the use of artificial intelligence in digital marketing strategies. Considering that digital marketing requires the existence of marketing content, the success of a company's online communication largely depends
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Schaat, Samer, Aleksandar Miladinović, Stefan Wilker, et al. "Emotion in Consumer Simulations for the Development and Testing of Recommendations for Marketing Strategies." In EMPIRE '15: 3rd Workshop on Emotions and Personality in Personalized Systems 2015. ACM, 2015. http://dx.doi.org/10.1145/2809643.2809649.

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Trifonova, Larisa. "The art of personalization in marketing strategies: trends and solutions." In The 6th Economic International Conference "Competitiveness and sustainable development". Technical University of Moldova, 2024. https://doi.org/10.52326/csd2024.48.

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This article examines the strategic role of personalization in modern marketing, highlighting its impact on customer engagement and brand loyalty. With consumer expectations for customized experiences at an all-time high, companies are leveraging popular techniques such as data analytics, artificial intelligence, and customer journey mapping to create highly customized interactions across digital and physical touchpoints. The author’s research analyzes current trends including the use of real-time data, predictive modeling, and omnichannel personalization, while addressing the operational chal
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Herath, H. M. D. C., and B. L. D. Seneviratne. "How does personalization of the products affect consumers’ attitudes toward the product." In International Conference on Business Research. Business Research Unit (BRU), 2024. https://doi.org/10.31705/icbr.2024.4.

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In the present marketing landscape, brands are competing for attention, and companies are eager to build closer relationships with their consumers. This study extends the scope of personalization by deeply embedding consumers into the core of the products they engage with, enhancing their experience through personalized interactions. The drivers of consumer interest in personalized products and the ways in which personalization shapes overall experiences remain unclear in existing findings, particularly when consumers exhibit unexpected reactions. The research discusses how product personaliza
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Davtyan, Nane. "AI in Consumer Behavior Analysis and Digital Marketing: A Strategic Approach." In The Integration of AI and Technology in Modern Business Practices. SBS Swiss Business School, 2024. http://dx.doi.org/10.70301/conf.sbs-jabr.2024.1/1.5.

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The rapid advancement of Artificial Intelligence (AI) has revolutionized consumer behavior analysis and digital marketing strategies by enabling personalized and efficient data-driven approaches. AI-driven tools like predictive analytics, natural language processing (NLP), machine learning, and programmatic advertising allow marketers to process vast amounts of real-time consumer data, facilitating optimized campaign performance and precise targeting. This paper explores the integration of AI in marketing, highlighting its role in enhancing predictive analytics, sentiment analysis, and real-ti
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Reports on the topic "Personalized marketing strategies"

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Pasupuleti, Murali Krishna. AI-Driven Marketing Innovations: Personalization and Ethics in the Digital Era. National Education Services, 2025. https://doi.org/10.62311/nesx/rr625.

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Abstract: This article explores the transformative impact of artificial intelligence (AI) on digital marketing, focusing on strategies for delivering personalized content and ensuring ethical advertising. By leveraging AI, marketers can now analyze consumer behavior with precision, enabling targeted content, automated ad placement, and real-time adjustments that enhance user engagement and conversions. The Article examines foundational AI techniques, such as recommendation engines, predictive analytics, and natural language processing, which drive personalization at scale. Additionally, it add
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LaRaine Ingram, Keisha. Co-Creation in Marketing and Brand Strategy. Vilnius Business College, 2024. https://doi.org/10.57005/ab.2024.2.2.

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Co-creation in branding and marketing strategy represents a paradigm shift from traditional, company- centric approaches to more interactive, customer-centric models. This concept involves engaging customers as active participants in the creation and enhancement of products, services, and brand experiences. Co-creation fosters deeper customer engagement and loyalty and drives innovation and competitive advantage. The theoretical foundations of co-creation can be traced to service-dominant logic, which emphasizes the role of the customer as a co-creator of value rather than a passive consumer.
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You might also be interested in the extended bibliographies on the topic 'Personalized marketing strategies' for particular source types:
Journal articles
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