The rapid growth of technological developments on the internet has led many companies to adapt their businesses to the digital ecosystem and implement new methods and techniques to improve the users' experiences and their analytical strategies. Moreover, in the past few years, the digital ecosystem has been chosen as the main channel used by consumers for the purchase of goods and services. As a result, digital marketing and online advertising have become the main strategies used by companies in their marketing actions. Advertising can be designed and shown considering users' interests based on what they visit or where they go. That implies that the user experience is improved as long as they receive personalized adverts focused on what they were curious or concerned about. Thus, techniques such as artificial intelligence (AI), data mining, or business intelligence have allowed companies to act accordingly in real-time without user perception. Big Data Marketing Strategies for Superior Customer Experience compiles and studies the major practices and case studies of big data marketing in recent years. In this digital era, this book can be used as a sourcebook on study cases focused on digital marketing strategies as well as the identification of new technologies that will help the development of initiatives and practices focused on marketing and data sciences. Covering topics such as customer satisfaction, collective intelligence, and sentiment analysis, this premier reference source is an essential resource for students and educators of higher education, marketers, innovators, business leaders and managers, entrepreneurs, librarians, researchers, and academicians.

The rapid growth of technological developments on the internet has led many companies to adapt their businesses to the digital ecosystem and implement new methods and techniques to improve the users’ experiences and their analytical strategies. Moreover, in the past few years, the digital ecosystem has been chosen as the main channel used by consumers for the purchase of goods and services. As a result, digital marketing and online advertising have become the main strategies used by companies in their marketing actions. Advertising can be designed and shown considering users’ interests based on what they visit or where they go. That implies that the user experience is improved as long as they receive personalized adverts focused on what they were curious or concerned about. Thus, techniques such as artificial intelligence (AI), data mining, or business intelligence have allowed companies to act accordingly in real-time without user perception. Big Data Marketing Strategies for Superior Customer Experience compiles and studies the major practices and case studies of big data marketing in recent years. In this digital era, this book can be used as a sourcebook on study cases focused on digital marketing strategies as well as the identification of new technologies that will help the development of initiatives and practices focused on marketing and data sciences. Covering topics such as customer satisfaction, collective intelligence, and sentiment analysis, this premier reference source is an essential resource for students and educators of higher education, marketers, innovators, business leaders and managers, entrepreneurs, librarians, researchers, and academicians.

"Unlocking Success: The Art of Strategic Marketing in the Digital Age" is not just theory; it incorporates several case studies that illustrate real-world application of strategies in various business contexts. The book also offers a special section on 'Boost Your Stamina with Easyfit's Personalized Fitness Journey,' connecting the concepts of strategic marketing to personal health and wellbeing. This comprehensive guide is a valuable resource for marketers, business owners, entrepreneurs, and students who aspire to understand and succeed in the dynamic world of digital marketing. Its practical insights and case studies bring marketing strategies to life, setting you on the right path towards unlocking success.

How can managers design and manage excellent customer experiences that will develop long-term relationships with their customers? This book addresses this key question and explores both the theory developed over the past 20 years and tools to create truly engaging brands. Taking a broad holistic approach, this book brings together current thinking on experiential marketing, brand management, customer engagement, customer well-being and happiness, customer loyalty and emotions, the customer journey map, and big data and combines it into a practical and clear roadmap for brand managers. By integrating these modern perspectives, concepts, research techniques, and operative tools, this book provides a new perspective of marketing management to design and build engaging branding. Using extensive examples from a variety of industries, this book offers a global perspective that will appeal to both advanced students and experienced marketing managers.

Key decisions determine the success of big data strategy Dynamic Customer Strategy: Big Profits from Big Data is a comprehensive guide to exploiting big data for both business-to-consumer and business-to-business marketing. This complete guide provides a process for rigorous decision making in navigating the data-driven industry shift, informing marketing practice, and aiding businesses in early adoption. Using data from a five-year study to illustrate important concepts and scenarios along the way, the author speaks directly to marketing and operations professionals who may not necessarily be big data savvy. With expert insight and clear analysis, the book helps eliminate paralysis-by-analysis and optimize decision making for marketing performance. Nearly seventy-five percent of marketers plan to adopt a big data analytics solution within two years, but many are likely to fail. Despite intensive planning, generous spending, and the best intentions, these initiatives will not succeed without a manager at the helm who is capable of handling the nuances of big data projects. This requires a new way of marketing, and a new approach to data. It means applying new models and metrics to brand new consumer behaviors. Dynamic Customer Strategy clarifies the situation, and highlights the key decisions that have the greatest impact on a company's big data plan. Topics include: Applying the elements of Dynamic Customer Strategy Acquiring, mining, and analyzing data Metrics and models for big data utilization Shifting perspective from model to customer Big data is a tremendous opportunity for marketers and may just be the only factor that will allow marketers to keep pace with the changing consumer and thus keep brands relevant at a time of unprecedented choice. But like any tool, it must be wielded with skill and precision. Dynamic Customer Strategy: Big Profits from Big Data helps marketers shape a strategy that works.

Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Customer Relationship Management: A Global Approach provides a uniquely global, holistic, strategic and tactical grounding in managing customer and other stakeholder experiences and relationships across the value chain, cultures and countries. Reflecting the global structures of companies operating today, the author draws on his research knowledge alongside industry and teaching experience to connect Customer Relationship Management (CRM) core concepts, processes and strategies with international business opportunities and challenges, including globalization and cross-cultural marketing. Emphasis is placed on the need for developing cross-cultural skills and cultural intelligence for identifying and fulfilling cross country CRM opportunities, through analytical, strategic, operational and social CRM projects. Written in an accessible style throughout, the eleven chapters provide ample depth to support a full course related to CRM, spanning: · CRM foundations · planning and implementation · managing stakeholder relationships · improving global CRM implementation Wide-ranging case studies include: Royal Bank of Scotland, the Nike hijab, Instagram, HubSpot and the pharmaceutical industry in India. The text will appeal to advanced undergraduate and graduate students studying CRM, Relationship Marketing and International Marketing, as well as CRM and marketing practitioners. Samit Chakravorti is an Associate Professor of Marketing at Western Illinois University in the United States.

Although there are various studies on theories and analytical techniques to address consumer behavior change in the current world, tracking consumer behavior change in the metaverse and the adoption of the metaverse remains a challenge that requires discussion. The advent of the metaverse will have a profound influence on consumer behavior, from how people make decisions and create brand connections to how they feel about their avatar embodiment and their purchases in the metaverse. The Handbook of Research on Consumer Behavioral Analytics in Metaverse and the Adoption of a Virtual World investigates the social, behavioral, and psychological factors that influence metaverse adoption. The focus then shifts to concepts, theories, and analytical approaches for detecting changes in consumer behavior in the metaverse. Covering topics such as e-commerce markets, user experience, and immersive technologies, this major reference work is an excellent resource for business executives, entrepreneurs, data analysts, marketers, advertisers, government officials, social media professionals, librarians, students and educators of higher education, researchers, and academicians.

Bringing together some of the world’s leading thinkers, academics and professionals to provide practitioners, students and academicians with comprehensive insights into implementing effective service innovation. This book presents service innovation holistically and systemically across various service areas, including health, education, tourism, hospitality, telecommunications, and retail. It addresses contemporary issues through conceptual and applied contributions across industry, academia, and government, providing insights for improved practice and policy making. Featuring cutting-edge research contributions, practical examples, implementations and a select number of case studies across several growth service industries, this book also includes examples of failed service innovation attempts in order to demonstrate a balanced view of the topic and to make clear the pitfalls to be avoided. Culminating in a suggested step-by-step guide to enable service organization’s managers to understand and implement the concepts of service innovation and manage its evolutionary processes effectively, this book will prove a valuable resource to a wide reaching audience including researchers, practitioners, managers, and students who aspire to create a deeper scientific foundation for service design and engineering, service experience and marketing, and service management and innovation. Includes endorsements from professionals in the field of service innovation.