Download or read book AI Driven Marketing Research and Data Analytics written by Masengu, Reason and published by IGI Global. This book was released on 2024-04-22 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: The surge in technological advancements, coupled with the exponential growth of data, has left marketers grappling with the need for a paradigm shift. The once-established methods of consumer engagement are now overshadowed by the complexities of the digital age, demanding a profound understanding of artificial intelligence (AI) and data analytics. The gap between academic knowledge and practical applications in the field of marketing has widened, leaving industry professionals, educators, and students seeking a comprehensive resource to navigate the intricacies of this transformative era. AI-Driven Marketing Research and Data Analytics is a groundbreaking book that serves as a beacon for marketers, educators, and industry leaders alike. With a keen focus on the symbiotic relationship between AI, data analytics, and marketing research, this book bridges the gap between theory and practice. It not only explores the historical evolution of marketing but also provides an innovative examination of how AI and data analytics are reshaping the landscape. Through real-time case studies, ethical considerations, and in-depth insights, the book offers a holistic solution to the challenges faced by marketing professionals in the digital age.

Download or read book Data Driven Marketing with Artificial Intelligence written by Martin Wass and published by . This book was released on 2018-06-06 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: The marketing industry is being disrupted right before of our eyes, and the new technological revolution will transform our world. Artificial intelligence is set to change everything we know about marketing and how we interact with customers. Business leaders need to pay attention, or they risk being left behind. Artificial intelligence will drive a massive shift in business models, and will profoundly change how businesses and customers communicate. Staying at the forefront of these changes is essential for any business to stay competitive. Data-Driven Marketing with Artificial Intelligence is the definitive guide to understanding and using AI in marketing. It is essential reading for corporate and marketing leaders, and anyone seeking to understand how artificial intelligence will lead us into the world of tomorrow. Featuring discussions with dozens of industry leaders, it provides both an overview of how AI will continue to affect online marketing, and details of how to implement these new tools into your business. Learn how traditional marketing strategies are being replaced by autonomous, data-driven, and self-optimizing systems capable of providing more relevance to each customer, improving loyalty, and ultimately increasing the bottom line. After reading this book, you will understand these key topics: * The disruption that artificial intelligence and other emerging technologies will have on marketing, sales, and the industries that surround them * The latest AI-based software tools and what they can do for marketers today * Using big data, predictive analytics, and machine learning in marketing * How to develop and implement your own custom AI software * The risks AI hold for your job or business * How new technologies, beyond AI, will disrupt marketing even further * The legal and ethical aspects of using artificial intelligence systems Leading experts and technology CEOs believe that soon, nearly every decision we make will be influenced by AI technology. Marketing is no exception, and it will see changes faster and with wider adoption than any other. In an AI-enabled world, companies will have to adjust to new purchase patterns to stay in business. Learning about and implementing AI tools will keep your business on the forefront of the next technological revolution--while the rest play catch up. Buy the book now to jump into the world of artificial intelligence and stay one step ahead of the competition!

Download or read book Big Data and AI Driven Marketing Analytics written by Jeen Su Lim and published by . This book was released on 2020-04-10 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book AI Powered Digital Marketing written by Kabindra Kundu and published by Sucess Mantra Publications. This book was released on 2023-07-15 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter-wise Review of "AI-Powered Digital Marketing: Revolutionizing Your Marketing Strategies" Chapter 1: Fundamentals of AI-Powered Digital Marketing This chapter sets the stage for an exciting journey into the world of AI-powered digital marketing. The author provides a comprehensive overview of the fundamental concepts, explaining how AI is reshaping the marketing landscape. With clear explanations and real-life examples, readers are introduced to the immense potential and benefits of integrating AI into their marketing strategies. Chapter 2: Introduction to AI-driven Digital Marketing Building on the fundamentals, this chapter delves deeper into AI-driven digital marketing. It explores various AI technologies and their applications in marketing, such as machine learning, natural language processing, and predictive analytics. The author successfully simplifies complex concepts, making it accessible to marketers of all levels. By showcasing the practical uses of AI, readers are inspired to leverage these powerful tools. Chapter 3: Search Engine Optimization (SEO) In this crucial chapter, the author explains how AI is revolutionizing search engine optimization. From keyword research to content optimization and link building, AI-driven techniques are explored to help businesses achieve higher rankings and increased organic traffic. The inclusion of practical tips and best practices ensures that readers can immediately apply these strategies to improve their SEO efforts. Chapter 4: AI for Technical SEO Technical SEO can often be daunting, but this chapter simplifies the process with AI. Readers gain valuable insights into how AI algorithms can identify and resolve technical issues, improve website performance, and enhance user experience. By harnessing the power of AI for technical SEO, businesses can gain a competitive edge and drive more targeted traffic to their websites. Chapter 5: Reputation Management Ethical Considerations in AI-powered digital marketing (included topic) This book stands out by addressing the critical topic of ethical considerations in AI-powered digital marketing. The dedicated section explores the ethical challenges associated with AI, such as data privacy, bias, and transparency. It provides valuable guidance on maintaining ethical standards and fostering trust with consumers. This chapter ensures that marketers prioritize responsible AI usage. Chapter 6: AI-Powered Content Writing and Marketing Content is king, and this chapter demonstrates how AI can revolutionize content creation and marketing. From AI-powered content generation to natural language processing for personalized content, readers discover innovative ways to create engaging and relevant content. The author showcases real-life examples and best practices, equipping marketers with the knowledge to leverage AI for effective content strategies. Chapter 7: Email Marketing and Automation Email marketing remains a powerful tool in the digital marketing arsenal, and this chapter showcases how AI can enhance its effectiveness. Readers learn how to leverage AI for email campaign optimization, personalization, and workflow automation. The practical tips and case studies presented inspire marketers to create highly targeted and engaging email strategies. Chapter 8: Social Media Marketing Social media platforms are dynamic and ever-evolving, and AI is at the forefront of transforming social media marketing. This chapter explores AI-powered social listening, sentiment analysis, chatbots, and social media advertising optimization. Marketers gain valuable insights into leveraging AI to maximize their social media presence and engage with their target audience effectively. Chapter 9: Role of ChatGPT and Google BERT in Digital Marketing This chapter highlights the immense potential of AI-driven chatbots and language models. Readers discover how ChatGPT and Google BERT can enhance customer interactions, content creation, and search engine rankings. The practical applications and case studies presented make it an essential read for marketers looking to leverage the power of conversational AI. Chapter 10: Google Search Console: Step-by-Step Implementation Google Search Console is a critical tool for SEO success, and this chapter provides a step-by-step guide on leveraging its features. Marketers gain a comprehensive understanding of data analysis, website performance monitoring, and optimization suggestions. By harnessing the power of Google Search Console, businesses can fine-tune their SEO strategies and achieve higher search rankings. Chapter 11: Influencer Marketing Influencer marketing has become a key component of digital strategies, and AI can enhance its effectiveness. This chapter explores AI-powered influencer discovery, campaign management, and performance tracking. Readers gain insights into identifying the right influencers, measuring the impact of collaborations, and maximizing ROI. The practical tips and strategies provided make it a must-read for marketers seeking to amplify their brand reach. Chapter 12: Performance Marketing Performance marketing is all about driving measurable results, and this chapter shows how AI can be a game-changer in this field. The exploration of AI-powered advertising platforms, programmatic advertising, predictive analytics, and customer segmentation equips marketers with the tools to optimize their performance marketing strategies. It's an essential read for those seeking data-driven success. Chapter 13: Google Analytics No digital marketing book is complete without a comprehensive understanding of Google Analytics, and this chapter delivers just that. Marketers will benefit from the in-depth exploration of Google Analytics features, data interpretation, and actionable insights. With practical tips for tracking and optimizing marketing campaigns, this chapter is a goldmine for digital marketers. Chapter 14: Exploring the Uses of Canva for Digital Marketing Visual content plays a crucial role in digital marketing, and Canva has emerged as a powerful design tool. This chapter showcases how AI-powered design platforms like Canva can streamline the creation of engaging visual content. Readers discover how to leverage templates, design automation, and data-driven insights to create stunning visuals that resonate with their target audience. Chapter 15: Google Tag Manager Tracking and managing marketing tags can be complex, but Google Tag Manager simplifies the process. This chapter provides a comprehensive guide to implementing and utilizing Google Tag Manager effectively. Marketers gain insights into tag deployment, event tracking, and data integration, empowering them to streamline their analytics and optimize their marketing efforts. Chapter 16: Affiliate Marketing Affiliate marketing continues to be a popular revenue-generating strategy, and AI can enhance its effectiveness. This chapter explores AI-powered affiliate tracking, performance optimization, and fraud detection. By leveraging AI, marketers can automate processes, optimize partnerships, and maximize their affiliate marketing ROI. Chapter 17: Marketing Automation and Use of Zapier Automation is key to scaling marketing efforts, and this chapter demonstrates how AI-powered tools like Zapier can streamline workflows. Readers gain insights into automating repetitive tasks, integrating various marketing tools, and improving overall efficiency. By harnessing the power of marketing automation, marketers can focus on strategic initiatives and achieve greater productivity. Chapter 18: Introduction to Marketing Analytics Data-driven decision-making is essential in modern marketing, and this chapter introduces marketers to the world of marketing analytics. Readers gain a comprehensive understanding of data collection, analysis, and visualization techniques. By harnessing the power of marketing analytics, businesses can uncover actionable insights and optimize their marketing strategies. Chapter 19: Latest Products of Google for Digital Marketing Google is at the forefront of AI innovation, and this chapter explores the latest products that can transform digital marketing. Readers discover cutting-edge tools like Google Performance Max, Google Search Generative Experience, and Google Product Studio. By staying up-to-date with the latest Google offerings, marketers can leverage AI to stay ahead of the competition. Chapter 20: Role of CRM in Digital Marketing CRM (Customer Relationship Management) systems are crucial for managing customer interactions, and this chapter highlights their significance in the digital marketing landscape. Readers gain insights into leveraging AI-powered CRM tools for lead management, customer segmentation, and personalized marketing. By utilizing CRM effectively, marketers can enhance customer relationships and drive business growth. Chapter 21: Sales Funnel Understanding the sales funnel is essential for successful marketing campaigns, and this chapter provides a comprehensive guide. Readers learn how AI can optimize each stage of the sales funnel, from lead generation to conversion and retention. By aligning AI-powered strategies with the sales funnel, businesses can enhance their overall marketing performance. Chapter 22: Lead Generation Lead generation is the lifeblood of any business, and this chapter focuses on leveraging AI for effective lead generation strategies. Readers gain insights into AI-powered lead scoring, predictive analytics, and personalized targeting. By implementing AI-driven lead generation techniques, marketers can optimize their efforts and attract high-quality leads. Chapter 23: AI-Powered Attribution Model and ROI Analysis Determining the ROI of marketing campaigns can be challenging, but AI-powered attribution models offer a solution. This chapter explores advanced attribution models, data-driven ROI analysis, and campaign optimization. By leveraging AI for accurate attribution and ROI analysis, businesses can make informed decisions and allocate resources effectively. Chapter 24: Podcast Podcasts have gained immense popularity, and this chapter showcases how AI can enhance podcast marketing efforts. Readers discover AI-powered podcast recommendations, transcription, and audience analysis. By leveraging AI in podcast marketing, businesses can expand their reach and engage with a targeted audience effectively. Chapter 25: RSS Feed RSS feeds remain a valuable tool for content distribution, and this chapter explores how AI can optimize their usage. Readers learn about AI-powered content curation, personalized RSS feeds, and automated distribution. By leveraging AI in RSS feed management, marketers can deliver relevant content to their audience and increase engagement. Chapter 26: Other Free Resources This chapter provides a treasure trove of free resources that marketers can leverage to enhance their AI-powered digital marketing strategies. From free AI tools to online courses and communities, readers gain access to a wealth of valuable resources. By taking advantage of these resources, marketers can continue to learn, grow, and stay at the forefront of AI-driven marketing. Chapter 27: Project on AI The inclusion of practical projects allows readers to apply their newfound knowledge in real-world scenarios. The projects presented, such as sentiment analysis for social media marketing and a keyword research tool, enable marketers to gain hands-on experience and enhance their skills. Digital Marketing Glossary To ensure readers have a comprehensive understanding of AI-powered digital marketing terminology, the book concludes with a comprehensive glossary. It serves as a valuable reference, helping marketers navigate the evolving field with confidence. Ethical Considerations in AI-Powered Digital Marketing (included topic) The dedicated section on ethical considerations in AI-powered digital marketing highlights the importance of responsible AI usage. It addresses crucial topics such as data privacy, bias, and transparency, ensuring that marketers prioritize ethical practices in their AI-driven strategies. Future Trends in AI-Powered Digital Marketing (included topic) While the book covers a wide range of AI-powered digital marketing topics, it goes beyond the present and explores future trends. By discussing upcoming developments, such as voice search, AI chatbots, and personalized marketing experiences, readers are equipped with insights to stay ahead of the curve. Overall, "AI-Powered Digital Marketing: Revolutionizing Your Marketing Strategies" offers a comprehensive and practical guide to leveraging AI in digital marketing. It combines fundamental concepts, practical tips, and real-life examples to empower marketers to optimize their strategies, improve ROI, and drive business success in the digital age. With its focus on ethical considerations and future trends, this book is a must-have for any marketer looking to stay competitive in the ever-evolving world of AI-powered digital marketing.

Download or read book AI Based Data Analytics written by Kiran Chaudhary and published by CRC Press. This book was released on 2023-12-29 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apply analytics to improve customer experience, AI applied to targeted and personalized marketing Debugging and simulation tools and techniques for massive data systems

Download or read book Artificial Intelligence for Marketing written by Jim Sterne and published by John Wiley & Sons. This book was released on 2017-08-14 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the "need-to-know" aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve.

Download or read book Predictive Analytics and Generative AI for Data Driven Marketing Strategies written by Hemachandran K and published by . This book was released on 2024-11-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides an in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions. It includes real-world case studies and examples from diverse marketing domains, demonstrating how predictive analytics and generative AI have been successfully applied to solve marketing challenges and drive tangible results. It showcases emerging trends in predictive analytics and generative AI for marketing, and potential impact on the future of data-driven marketing. This book is meant for professionals and scholars to gather the skills and resources to effectively use predictive analytics and generative AI for marketing strategies. - Examines the different predictive analytics models and algorithms, such as regression analysis, decision trees, and neural networks, and demonstrates how they may be utilized to get insightful conclusions from marketing data. - Includes generative AI techniques such as generative adversarial networks (GANs) and variational autoencoders (VAEs), showcasing how these techniques can generate synthetic data for marketing insights and decision-making. - Highlights the importance of data-driven marketing choices and illustrates how generative AI and predictive analytics may be quite useful in this context. - Integrates the principles of data science with marketing concepts, offering a cohesive understanding of how predictive analytics and generative AI can power data-driven marketing decisions. - Present the recent advances in predictive analytics and generative AI, discuss how they can affect the area of data-driven marketing.

Download or read book The AI Marketing Canvas written by Raj Venkatesan and published by Stanford University Press. This book was released on 2021-05-18 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a direct, actionable plan CMOs can use to map out initiatives that are properly sequenced and designed for success—regardless of where their marketing organization is in the process. The authors pose the following critical questions to marketers: (1) How should modern marketers be thinking about artificial intelligence and machine learning? and (2) How should marketers be developing a strategy and plan to implement AI into their marketing toolkit? The opening chapters provide marketing leaders with an overview of what exactly AI is and how is it different than traditional computer science approaches. Venkatesan and Lecinski, then, propose a best-practice, five-stage framework for implementing what they term the "AI Marketing Canvas." Their approach is based on research and interviews they conducted with leading marketers, and offers many tangible examples of what brands are doing at each stage of the AI Marketing Canvas. By way of guidance, Venkatesan and Lecinski provide examples of brands—including Google, Lyft, Ancestry.com, and Coca-Cola—that have successfully woven AI into their marketing strategies. The book concludes with a discussion of important implications for marketing leaders—for your team and culture.

Download or read book Data Analytics for Business written by Ira J. Haimowitz and published by Taylor & Francis. This book was released on 2022-12-20 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications. The foundation of this text is the author’s 20-plus years of developing and delivering big data and artificial intelligence solutions across multiple industries: financial services, pharmaceuticals, consumer packaged goods, media, and retail. He provides guidelines and summarized cases for those studying or working in the fields of data science, data engineering, and business analytics. The book also offers a distinctive style: a series of essays, each of which summarizes a critical lesson or provides a step-by-step business process, with specific examples of successes and failures. Sales and marketing executives, project managers, business and engineering professionals, and graduate students will find this clear and comprehensive book the ideal companion when navigating the complex world of big data analytics.

Download or read book AI in Marketing Sales and Service written by Peter Gentsch and published by Springer. This book was released on 2018-10-22 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI and Algorithmics have already optimized and automated production and logistics processes. Now it is time to unleash AI on the administrative, planning and even creative procedures in marketing, sales and management. This book provides an easy-to-understand guide to assessing the value and potential of AI and Algorithmics. It systematically draws together the technologies and methods of AI with clear business scenarios on an entrepreneurial level. With interviews and case studies from those cutting edge businesses and executives who are already leading the way, this book shows you: how customer and market potential can be automatically identified and profiled; how media planning can be intelligently automated and optimized with AI and Big Data; how (chat)bots and digital assistants can make communication between companies and consumers more efficient and smarter; how you can optimize Customer Journeys based on Algorithmics and AI; and how to conduct market research in more efficient and smarter way. A decade from now, all businesses will be AI businesses – Gentsch shows you how to make sure yours makes that transition better than your competitors.

Download or read book Data Science for Marketing Analytics written by Mirza Rahim Baig and published by Packt Publishing Ltd. This book was released on 2021-09-07 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: Turbocharge your marketing plans by making the leap from simple descriptive statistics in Excel to sophisticated predictive analytics with the Python programming language Key FeaturesUse data analytics and machine learning in a sales and marketing contextGain insights from data to make better business decisionsBuild your experience and confidence with realistic hands-on practiceBook Description Unleash the power of data to reach your marketing goals with this practical guide to data science for business. This book will help you get started on your journey to becoming a master of marketing analytics with Python. You'll work with relevant datasets and build your practical skills by tackling engaging exercises and activities that simulate real-world market analysis projects. You'll learn to think like a data scientist, build your problem-solving skills, and discover how to look at data in new ways to deliver business insights and make intelligent data-driven decisions. As well as learning how to clean, explore, and visualize data, you'll implement machine learning algorithms and build models to make predictions. As you work through the book, you'll use Python tools to analyze sales, visualize advertising data, predict revenue, address customer churn, and implement customer segmentation to understand behavior. By the end of this book, you'll have the knowledge, skills, and confidence to implement data science and machine learning techniques to better understand your marketing data and improve your decision-making. What you will learnLoad, clean, and explore sales and marketing data using pandasForm and test hypotheses using real data sets and analytics toolsVisualize patterns in customer behavior using MatplotlibUse advanced machine learning models like random forest and SVMUse various unsupervised learning algorithms for customer segmentationUse supervised learning techniques for sales predictionEvaluate and compare different models to get the best outcomesOptimize models with hyperparameter tuning and SMOTEWho this book is for This marketing book is for anyone who wants to learn how to use Python for cutting-edge marketing analytics. Whether you're a developer who wants to move into marketing, or a marketing analyst who wants to learn more sophisticated tools and techniques, this book will get you on the right path. Basic prior knowledge of Python and experience working with data will help you access this book more easily.

Download or read book Artificial Intelligence written by Stuart Russell and published by Createspace Independent Publishing Platform. This book was released on 2016-09-10 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.

Download or read book Creating Value with Data Analytics in Marketing written by Peter C. Verhoef and published by Routledge. This book was released on 2021-11-07 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: The key competing texts are practitioner-focused ‘how to’ guides, whilst our book combines rigorous theory with practical insight and examples, with authors from both the academic and business world, making it more adoptable as a student text; Unlike other books on the subject, this has a customer focus and an exploration of how big data can add value to customers as well as organisations; Enables readers to move from "big data" to "big solutions" by demonstrating how to integrate data analytics into specific goals and processes for implementation; Highly successful and well regarded both for students and practitioners

Download or read book Customer Data Platforms written by Martin Kihn and published by John Wiley & Sons. This book was released on 2020-11-05 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the hottest technology around to drive marketing success Marketers are faced with a stark and challenging dilemma: customers demand deep personalization, but they are increasingly leery of offering the type of personal data required to make it happen. As a solution to this problem, Customer Data Platforms have come to the fore, offering companies a way to capture, unify, activate, and analyze customer data. CDPs are the hottest marketing technology around today, but are they worthy of the hype? Customer Data Platforms takes a deep dive into everything CDP so you can learn how to steer your firm toward the future of personalization. Over the years, many of us have built byzantine “stacks” of various marketing and advertising technology in an attempt to deliver the fabled “right person, right message, right time” experience. This can lead to siloed systems, disconnected processes, and legacy technical debt. CDPs offer a way to simplify the stack and deliver a balanced and engaging customer experience. Customer Data Platforms breaks down the fundamentals, including how to: Understand the problems of managing customer data Understand what CDPs are and what they do (and don't do) Organize and harmonize customer data for use in marketing Build a safe, compliant first-party data asset that your brand can use as fuel Create a data-driven culture that puts customers at the center of everything you do Understand how to use AI and machine learning to drive the future of personalization Orchestrate modern customer journeys that react to customers in real-time Power analytics with customer data to get closer to true attribution In this book, you’ll discover how to build 1:1 engagement that scales at the speed of today’s customers.

Download or read book Using AI in Marketing written by Greg Kihlström and published by Stylus Publishing, LLC. This book was released on 2024-06-19 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's dynamic marketing landscape, artificial intelligence (AI) stands at the forefront of innovation, offering unprecedented opportunities for marketers. This book enables marketing professionals to harness the power of AI, featuring in-depth discussions on key topics such as generative AI, personalized customer experiences, team and workflow augmentation, and data analysis optimization. It is divided into four parts, each addressing a different aspect of AI and marketing. Part I covers the fundamentals of AI in marketing, including machine learning and generative AI. Part II explores growth areas for marketing and AI, using generative AI and customer journey personalization. Part III goes into detail about how to use AI, particularly generative AI tools, to enhance the marketing function. Part IV is about integration and optimization, providing insights on when and where to invest in AI and how to prepare your team for an AI-driven marketing future. FEATURES: Covers AI-based platforms for text, image, and video generation, revolutionizing content creation Shows how AI can enhance customer interactions through personalized content and conversational AI Explores AI-automated workflows, improved reporting, and streamlined marketing processes Features AI analytics to optimize audience segmentation, predictive analytics, and marketing strategies Addresses the ethical implications of AI in marketing, ensuring responsible and transparent use

Download or read book AI Impacts in Digital Consumer Behavior written by Musiolik, Thomas Heinrich and published by IGI Global. This book was released on 2024-03-04 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the ever-evolving landscape of digital innovation, businesses grapple with the challenge of deciphering dynamic consumer behavior. AI Impacts in Digital Consumer Behavior is a pioneering exploration tailored for academic scholars seeking insights into the profound influence of artificial intelligence on consumer dynamics. As businesses strive to harness the potential of data, this book serves as a beacon, offering a comprehensive understanding of the intricacies involved in tracking, analyzing, and predicting shifts in consumer preferences. This groundbreaking work not only identifies the complexities posed by the rapidly changing digital landscape but also presents a solution-oriented approach. It unveils a theoretical framework and the latest empirical research, providing scholars with a toolkit of concepts, theories, and analytical techniques. With a multidisciplinary focus on behavioral analysis, the book equips academic minds with the knowledge to navigate the challenges of the digital age. Furthermore, it addresses the ethical dimensions and ethic considerations associated with the accelerating pace of consumer behavior analysis, shedding light on the responsible use of AI technologies.

Download or read book Contemporary Trends in Innovative Marketing Strategies written by Barbosa, Belem and published by IGI Global. This book was released on 2024-02-19 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: In global commerce, marked by the relentless advance of digital technology, businesses find themselves constantly challenged to devise innovative and disruptive marketing strategies. Adapting to these changes is no longer a choice but a necessity. To thrive, companies must remain vigilant, updating their resources and adopting emerging trends with unwavering agility. Contemporary Trends in Innovative Marketing Strategies explores the demands and dynamics of modern marketing. This book is tailored to meet the needs of students, educators, and managers seeking a profound understanding of today's marketing trends. Firstly, the book delves deep into the current trends steering marketing innovation. It dissects the latest developments that are reshaping the marketing landscape, identifies pivotal trends, and elucidates their ramifications for businesses. Secondly, the book embarks on a journey to explore innovative marketing strategies engineered to confront contemporary business challenges and seize emerging opportunities. It unlocks novel approaches that adeptly cater to the market, providing insights into strategic frameworks, methodologies, and practices. Lastly, the book illustrates these concepts with real-world case studies, offering proof of innovative marketing's successful applications across diverse business sectors. These cases serve to inspire and demonstrate how innovative marketing strategies can be put into action, resulting in tangible outcomes. This book is designed for a diverse audience, including academics and students keen on exploring the latest trends in innovative marketing, educators searching for compelling case studies to enhance their teaching materials, and practitioners eager to bridge the gap between research and practical application in innovative marketing.