Relevant bibliographies by topics / Marketing analytics solutions

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

Academic literature on the topic 'Marketing analytics solutions'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Marketing analytics solutions"

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Khair, Md Abul. "Blockchain-Enabled Marketing Analytics for Enhanced Campaign Transparency." American Journal of Trade and Policy 10, no. 2 (2023): 65–76. http://dx.doi.org/10.18034/ajtp.v10i2.701.

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In the digital age, blockchain technology has enormous potential to transform marketing analytics and improve campaign transparency. This project aims to investigate how blockchain-enabled marketing analytics might enhance the efficacy and transparency of campaigns. The primary aims of the research were to examine the difficulties associated with conventional marketing analytics, investigate blockchain-based remedies, evaluate real-world case studies, deliberate on potential future paths and valuable suggestions, and evaluate the constraints and policy ramifications. The study's approach compr
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Savych, Oleksandr, Volodymyr Pylypchuk, and Andrii Holitsyn. "Forming the system of generation of additional sales on the principles of marketing analytics." Marketing and Digital Technologies 7, no. 3 (2023): 52–65. http://dx.doi.org/10.15276/mdt.7.3.2023.4.

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The aim of the article is consideration of various aspects and indicators of forming an additional sales generation system based on the principles of marketing analytics in the conditions of an aggressive macro-environment. Analyses results. The formation of the system for generating additional sales based on principles of marketing analytics is a necessary step for the enterprises under effect of complex conditions of an aggressive macro-environment impact. Under the analysis of paying demand, the competitive environment and the application of marketing analytics tools, enterprises could gain
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Iyer, Lakshmi S., and Rajeshwari M. Raman. "Intelligent Analytics." International Journal of Business Intelligence Research 2, no. 1 (2011): 31–45. http://dx.doi.org/10.4018/jbir.2011010103.

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Organizations use web analytic tools and technologies to measure, collect, analyze, and report web usage data to help optimize websites. Traditionally, most of this data tends to be non-transactional and non-identifiable. In this regard, there has not been much integration with transactional data that is collected, stored, analyzed, and reported through Business Intelligence (BI). Emerging trends in web analytics provide organizations the ability to aggregate and analyze web analytics data with transactional data to provide valuable insights for building better customer relationship strategies
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V V Narendra Kumar, K.Kiran Kumar, and K.Anil Kumar. "The Future Business Depends on Analytics." Prabhandan - Journal of Business Administration 1, no. 1 (2010): 1–9. http://dx.doi.org/10.58716/pjbagitmba.v1i1.1.

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The science of business analytics is used to evaluate organization-wide operations. Each department, from sales to marketing and product development to customer service, can benefit from a closer look at customer behavior. Customers are the foundation of every business--from Fortune 500 companies to small and medium enterprises. Making time to analyze data and create predictive models will yield calculable results. There are hundreds of business analytics solutions the market today and while all offer the key to understanding your customer base, the solutions range in price, technology, time a
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Reza Amini and Ali Amini. "An overview of artificial intelligence and its application in marketing with focus on large language models." International Journal of Science and Research Archive 12, no. 2 (2024): 455–65. http://dx.doi.org/10.30574/ijsra.2024.12.2.1223.

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Emerging technologies like the Internet of Things, big data analytics, blockchain, and artificial intelligence (AI) have significantly transformed business operations. Among these, AI stands out as the most recent and impactful, revolutionizing marketing practices. Professionals globally are actively seeking AI solutions tailored to their marketing needs. A systematic review of existing literature can highlight AI's significance in marketing and reveal future research pathways. Integrating big data sources and AI tools into marketing practices represents a departure from traditional methods, u
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Divya, Chockalingam. "Loyalty Program Effectiveness through Data Analytics." International Journal of Leading Research Publication 1, no. 4 (2020): 1–4. https://doi.org/10.5281/zenodo.15074381.

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Loyalty programs have become a critical component of customer retention strategies. Data analytics plays a pivotal role in measuring and enhancing the effectiveness of these programs. This paper explores how businesses leverage data analytics to improve customer engagement, personalize rewards, and optimize marketing strategies. The study also highlights challenges and potential solutions associated with data-driven loyalty programs.
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Besiri, Defne. "Big Data Analytics for Real-Time Marketing: Opportunities and Challenges." Human Computer Interaction 8, no. 1 (2024): 169. https://doi.org/10.62802/0tybm167.

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Big Data Analytics has revolutionized real-time marketing by enabling organizations to process vast amounts of data to deliver personalized and timely customer experiences. This research explores the opportunities provided by Big Data Analytics in transforming marketing strategies, such as enhanced customer segmentation, predictive analytics for targeted campaigns, and dynamic content delivery. It highlights how real-time data processing facilitates agile decision-making, allowing businesses to adapt to rapidly changing market conditions. Simultaneously, the study addresses the challenges of B
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Kozlovskyi, Serhii, Larysa Shaulska, Andrii Butyrskyi, Natalia Burkina, and Yurii Popovskyi. "The marketing strategy for making optimal managerial decisions by means of smart analytics." Innovative Marketing 14, no. 4 (2018): 1–18. http://dx.doi.org/10.21511/im.14(4).2018.01.

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The article presents a methodology for developing the marketing strategy for the adoption of optimal managerial solutions by means of smart analytics. Such issues as marketing strategy modeling methods; software products based on the integration of smart analytics; optimal choosing electro mobile and others have been considered. The main subject of the article is constructing an optimal decision-making model using a combination of classical statistical and mathematical methods and models, as well as modern information technologies including methods of smart analytics. The conceptual scheme of
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Enoch Oluwabusayo Alonge, Nsisong Louis Eyo-Udo, Bright Chibunna Ubanadu, Andrew Ifesinachi Daraojimba, Emmanuel Damilare Balogun, and Kolade Olusola Ogunsola. "Integrated framework for enhancing sales enablement through advanced CRM and analytics solutions." Gulf Journal of Advance Business Research 3, no. 3 (2025): 923–51. https://doi.org/10.51594/gjabr.v3i3.120.

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This paper proposes an integrated framework for enhancing sales enablement through the adoption of advanced Customer Relationship Management (CRM) and analytics solutions. In the face of rapidly changing market conditions and increasingly sophisticated customer expectations, organizations need to empower their sales teams with the right tools to drive growth and customer satisfaction. This framework integrates cutting-edge CRM systems with powerful analytics tools to optimize sales processes, improve decision-making, and enhance customer engagement. The first component of the framework focuses
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Marakhina, I. V., and V. A. Parkhimenko. "Trends, Prospects and Staffing for Digital Marketing Transformation: from Internet Marketing to MarTech." Digital Transformation 29, no. 2 (2023): 5–12. http://dx.doi.org/10.35596/1729-7648-2023-29-2-5-12.

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The article substantiates the importance of ensuring the efficiency and competitiveness of the websites of Belarusian organizations in the context of the active development of the digital economy and internetization. The study showed that Belarus is characterized not only by the quantitative growth of organizations’ websites, but also by the growth of their functionality and complexity, in which more and more processes are automated, and users perform more and more actions online. In such conditions the implementation of the possibilities of digital marketing and web analytics, as well as a new
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Dissertations / Theses on the topic "Marketing analytics solutions"

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Abbass, Ziad El. "Implementing a bank sales analytics solution and a predictive model for the next best offer." Master's thesis, 2019. http://hdl.handle.net/10362/59931.

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Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics<br>In the banking industry, the quantity of information that is processed is huge. Knowing also that clients are doted with changing needs every time, companies must adapt their approaches to attract clients with the best offers. That can be done by various machine learning and data mining techniques that enable them to understand better the clients. Also, internally, banks should be equipped with fast and efficient processes that enable them to take quickly the best de
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Books on the topic "Marketing analytics solutions"

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Kumar M., Dileep. 50 short case studies in business management. UUM Press, 2012. http://dx.doi.org/10.32890/9789670474243.

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The Higher Education Institutions that run business management programs in Malaysia is under severe criticism from industry that the passing out management graduates do not have adequate practical exposure to the industry and lack of practical skills to deal industrial issues proactively as the catalyst of change.This indicates that the traditional management education curriculum, as presently constituted, may not be adequately preparing individuals for the challenges they experience as professional managers.To deal with this issue, many management institutes are adopting case study as a pedag
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Book chapters on the topic "Marketing analytics solutions"

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Calciu, Mihai, Jean-Louis Moulins, and Francis Salerno. "Big Consumer Behavior Data and their Analytics: Some Challenges and Solutions." In Developments in Marketing Science: Proceedings of the Academy of Marketing Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02568-7_13.

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Bengtson, Erik, and Oskar Mossberg. "Some Implications for Law." In The Virtues of Green Marketing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-32979-1_7.

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AbstractThis chapter argues that the current regulatory framework is focused on the legal equivalent of sins, and discusses how virtue analytics can support legal development by supplying possible new criteria for legal assessment. We maintain, however, that regulatory development can only ever be part of the solution and that several simultaneous and mutually reinforcing shifts are necessary, for there to be a true shift in green marketing practice.
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Dwivedi, Dwijendra Nath, Ghanashyama Mahanty, and Varunendra nath Dwivedi. "Innovative Marketing in Banking." In AI and Data Engineering Solutions for Effective Marketing. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3172-9.ch020.

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In the rapidly evolving financial sector, banks face the dual challenge of enhancing customer experience and optimizing marketing strategies. This chapter explores the integration of artificial intelligence (AI) and data engineering in revolutionizing marketing approaches within the banking industry. The core of this study delves into the deployment of AI technologies - including machine learning algorithms, predictive analytics, and natural language processing - to harness vast amounts of banking data for strategic marketing purposes. This research outlines how AI-driven data analysis enables
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Aarabe, Mourad, Nouhaila Ben Khizzou, Lhoussaine Alla, and Ahmed Benjelloun. "Marketing Applications of Emerging Technologies." In AI and Data Engineering Solutions for Effective Marketing. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3172-9.ch002.

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In today's global environment, integrating emerging technologies has become a necessity. This book explores the intersection of technology and marketing, providing an overview of technological advancements and their impact on marketing practices. This chapter proposes a systematic literature review following the PRISMA protocol to explore the breadth and scope of applicability of emerging technology solutions in marketing. The aim is to highlight the key opportunities and challenges for marketing applications of such technologies. This analysis, conducted using Nvivo V12 software, indicates th
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Dhawas, Pranali, Aparna Bondade, Sandhya Patil, Kiran Shyam Khandare, and Ramadevi V. Salunkhe. "Intelligent Automation in Marketing." In Advances in Business Information Systems and Analytics. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3354-9.ch003.

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This chapter explores the pivotal role of cutting-edge technologies in reshaping the landscape of contemporary marketing practices. This chapter delves into how artificial intelligence, machine learning, and data analytics are revolutionizing traditional marketing strategies, enabling unprecedented levels of personalization, efficiency, and effectiveness. Through real-world case studies and theoretical frameworks, the chapter elucidates the transformative impact of intelligent automation on various facets of marketing, including customer segmentation, targeting, content creation, and campaign
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Pantano, Eleonora, Simona Giglio, and Charles Dennis. "Integrating Big Data Analytics Into Retail Services Marketing Management." In Handbook of Research on Innovations in Technology and Marketing for the Connected Consumer. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0131-3.ch010.

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This chapter aims at exploring the extent to which the recent trends in digitalization of marketing and related services are leading to a massive amount of consumers' information (big data) in order to suggest possible solutions and recommendations. To this end, the chapter will focus on the case of a large shopping center in London (UK) as meaningful example of how retailers might exploit big data analytics such as sentiment and image analytics to get useful consumers' insights to be successfully integrated into marketing strategies. Finally, the chapter discusses the implications for scholar
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Sharma, Vimal, and Deepak Sood. "Big Data Applications and Analytics." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8177-6.ch016.

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The usage of smart-device applications among users and the business world is rapidly growing in India and globally. Establishments provide unsurpassed digital application services to their customers through interconnected devices to solve customer-centric problems and provide the best solutions. New trends in digital marketing influence the number of users to adopt social media and customized applications by organizations. Big data (BD) is an opportunity for service providers to get the behaviour of the users through BD analytics (BDA). This chapter aims to outline BD applications and analytic
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Veerasankararao, R., Shaiku Shahida Saheb, and Abdul Rahman Shaik. "Intelligent Marketing in Insurance." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-3897-2.ch003.

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This study examines how Artificial Intelligence (AI) transforms insurance marketing strategies through machine learning and predictive analytics. We investigate the shift from traditional approaches to AI-enabled systems that deliver personalized solutions and streamlined operations. The research develops and validates the AI-Powered Insurance Marketing Optimization Framework (AIMOF), integrating customer data analysis with dynamic recommendations and automated workflows. Our findings demonstrate that AI implementation improves cost efficiency and customer retention while creating competitive
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Mohammed, Arshiya Begum, and Asfia Sabahath Syed. "Applications and Impact of Internet of Things in Digital Marketing." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8166-0.ch009.

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Over the past few decades, curiosity and enthusiasm in science and technology have grown tremendously, to ‎the extent that IoT is now being applied to a wide variety of sectors including business, marketing, ‎manufacturing, sustainability, blockchain, and sports. Digital marketers are leveraging IoT technology in ‎the current digital age to develop marketing strategies and adapt to changing industry trends. Marketers ‎can implement new service-oriented strategies by combining IoT, Big Data, and data analytics. Among these ‎technologies, IoT is crucial in assisting businesses in increasing util
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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 mes
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Conference papers on the topic "Marketing analytics solutions"

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Smolevschi, Vlada, and Mirela Tcaci. "Innovation in banking marketing: from traditional products to personalized solutions." In Simpozion Ştiinţific al Tinerilor Cercetători. Ediţia a 22-a. Academy of Economic Studies, 2025. https://doi.org/10.53486/sstc2024.v2.81.

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This research investigates the transformative journey of the banking sector from a product-centric to a personalized marketing approach, driven by technological advancements and shifting consumer expectations. Traditional banking products are increasingly deemed insufficient in meeting the diverse and evolving needs of today's customers, prompting banks to prioritize customization. Through a comprehensive examination of industry trends and case studies, this study elucidates the strategic methodologies employed by financial institutions to tailor their offerings to individual customer requirem
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Nyasala, Usha Sree, Narayana Reddy Lingannagari, Pushpa Kakarla, Uday Kiran Gujjala, and Sai Harsha Vardhan Neeruganti. "Predictive analytics with machine learning for fraud detection of online marketing transactions." In THE 6TH INTERNATIONAL CONFERENCE OF ICE-ELINVO 2023: Digital Solutions for Sustainable and Green Development. AIP Publishing, 2025. https://doi.org/10.1063/5.0248862.

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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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Kumar, Devesh. "Harnessing Artificial Intelligence for Global Sustainability: A Systematic Review of Applications, Challenges, and Future Directions." In 7th World Conference on Business, Management, Finance, Economics, and Marketing. Eurasia Conferences, 2025. https://doi.org/10.62422/978-81-981590-7-6-001.

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Artificial Intelligence (AI) has emerged as a transformative force in addressing global sustainability challenges, offering innovative solutions for energy optimization, environmental conservation, waste management, and smart urban development. This systematic review critically examines the role of AI in advancing sustainability initiatives by synthesizing peer-reviewed literature published between 2015 and 2024. The study explores how AI-driven technologies, including machine learning, deep learning, and big data analytics, contribute to improving energy efficiency, optimizing resource utiliz
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Esqueda Merino, Donovan, Oliver Gómez Meneses, Hector Rafael Morano Okuno, et al. "Prompt my prototype: NaiVE Framework for Artificial Intelligence use in Engineering Product Development." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004652.

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Through this paper we present a framework aimed into helping educators to incorporate the Artificial Intelligence in their classes, particularly focused in Engineering Product Development. As students become more acquainted with the possibilities of Artificial Intelligence, it brings challenges in the way they learn, research and analyze the information supplied by the A.I. systems. This NaiVE framework puts emphasis in the students' use of their technical expertise and critical thinking by explicitly requesting to follow a set of steps that will guide them through obtaining the best out of th
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Wang, Rundong, Lin Yang, and Patrick Le. "Exploring the Synergistic Integration of Artificial Intelligence and Dropshipping: A Comprehensive Investigation into Optimizing Supply Chain Management, Enhancing Customer Experience, and Maximizing E-commerce Profitability through AI Driven Solutions." In 12th International Conference on Digital Image Processing and Vision. Academy & Industry Research Collaboration, 2023. http://dx.doi.org/10.5121/csit.2023.131336.

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The dropshipping industry presents significant challenges for entrepreneurs, particularly in product selection, website creation, and overall management of their online stores [1]. The sheer volume of products available, fierce competition, and the complexities of inventory management and customer service can be overwhelming for newcomers [2][3]. To address these issues, we propose a unique, AI-powered dropshipping platform that not only automates and optimizes essential aspects of running a dropshipping business but also offers a feature that distinguishes it from others: personalized website
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Alghazal, Mohammed. "Talent Acquisition Process Optimization Using Machine Learning in Resumes’ Ranking and Matching to Job Descriptions." In SPE Middle East Oil & Gas Show and Conference. SPE, 2021. http://dx.doi.org/10.2118/204534-ms.

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Abstract Employers commonly use time-consuming screening tools or online matching engines that are driven by manual roles and predefined keywords, to search for potential job applicants. Such traditional techniques have not kept pace with the new digital revolution in machine learning and big data analytics. This paper presents advanced artificial intelligent solutions employed for ranking resumes and CV-to-Job Description matching. Open source resumes and job descriptions' documents were used to construct and validate the machine learning models in this paper. Documents were converted to imag
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Shao, Yufen, Jizhou Li, Ming–Jung Seow, et al. "Integrated Concept Analytics and Development Optimization Under Uncertainties." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211442-ms.

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Abstract Decision-making complexity in the oil and gas industry has risen dramatically in recent years, especially in consideration of uncertainties related to geopolitics, policies, marketing, subsurface resources etc. To enable decision making with the best quality opportunities and projects, we are developing an integrated suite of machine augmented mathematical technologies to recommend holistic decisions for concept selection and development planning under uncertainties. Our ongoing technology development is progressing a set of prototypes and use cases including: 1) AI-based uncertainty
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Nguyen, Phan-Anh Huy, and Huyen Ha. "Evaluate Blockchain – Based Marketing Platforms by AHP Topsis Approach." In 5th International Conference on NLP & Information Retrieval. Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.140609.

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This paper delves into the profound influence of blockchain on the field of marketing, an arena that has undergone significant transformation in the wake of the digital revolution. The amalgamation of digital and physical domains has given rise to a dynamic and intensely competitive environment for marketers, prompting a reevaluation of strategies and tools. Despite the promising prospects, the research landscape surrounding blockchain-based marketing platforms remains in its nascent stages. This paper seeks to bridge this gap by identifying crucial criteria for evaluating such platforms, tran
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Katavić-Čaušić, Sanda, and Borislav Marušić. "Marketing Graduates’ Perceptions About the Importance of Business English Knowledge for Their Future Careers." In Language for International Communication. University of Latvia Press, 2023. http://dx.doi.org/10.22364/lincs.2023.05.

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Technologically-enhanced learning solutions now have become the norm in language learning practices and are used as powerful supplement to traditional classroom experience. In a multitude of e-solutions ESP educators are always in a search of adaptable tools to meet specific demands of their target audiences. Due to its omnipresence and widespread relevance across diverse disciplines and professions. Business English has become an essential demand of different target groups. Among the available tools for ESP learners, digital portfolios have become a useful component of course work supporting
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