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AI Marketing Case Studies: A Deep Dive into the Evolution and Impact of Artificial Intelligence in Marketing
Author: Dr. Evelyn Reed, PhD in Marketing Analytics, and former Chief Data Scientist at MarketWise, Inc. Dr. Reed has over 15 years of experience in leveraging AI for marketing optimization and has published extensively on the application of machine learning in marketing strategies. Her expertise directly informs this analysis of AI marketing case studies.
Keywords: AI marketing case studies, AI in marketing, artificial intelligence marketing, machine learning marketing, marketing analytics, predictive marketing, personalized marketing, case study analysis, AI marketing trends, AI marketing examples.
Abstract: This article provides a detailed examination of AI marketing case studies, tracing their historical development from early applications of basic algorithms to the sophisticated AI-powered marketing strategies employed today. We analyze successful examples, discuss the challenges associated with AI implementation, and explore the future trajectory of AI's role in shaping marketing campaigns and customer experiences. The analysis reveals the significant impact AI has had on improving marketing ROI, personalizing customer journeys, and automating tasks.
1. Introduction: The Rise of AI in Marketing
The integration of artificial intelligence (AI) into marketing has dramatically altered the landscape. No longer a futuristic concept, AI is now a practical tool driving efficiency, personalization, and improved marketing ROI. The emergence of robust AI marketing case studies has been crucial in demonstrating its efficacy and inspiring wider adoption. This exploration delves into the historical context of AI marketing case studies, examining their evolution and increasing complexity. Early case studies often focused on simpler applications like email automation and basic recommendation systems. However, the field has progressed significantly, with modern AI marketing case studies highlighting the use of sophisticated techniques like natural language processing (NLP), deep learning, and computer vision.
2. Early AI Marketing Case Studies: The Foundation
Early examples of AI in marketing often centered around improving basic marketing processes. Case studies from the late 1990s and early 2000s showcased the use of rudimentary algorithms for tasks such as:
Targeted advertising: Basic algorithms began segmenting audiences based on demographic data, leading to more targeted advertising campaigns. Early case studies documenting improved click-through rates (CTRs) and conversion rates through targeted advertising were instrumental in showcasing AI’s potential.
Email marketing automation: AI-powered email marketing tools emerged, automating email sending based on pre-defined triggers and simple segmentation rules. Case studies from this era focused on improved open rates and reduced unsubscribes due to personalized messaging.
Recommendation systems: Simple collaborative filtering algorithms made their debut, providing basic product recommendations based on past purchases. Case studies showed improved sales and customer engagement through these rudimentary recommendations.
3. Modern AI Marketing Case Studies: Sophistication and Scale
Recent AI marketing case studies showcase a significant leap in capability and complexity. Modern applications leverage advanced AI techniques including:
Predictive analytics: Sophisticated algorithms forecast customer behavior, allowing marketers to proactively personalize campaigns and target high-value prospects. Case studies demonstrate improved lead scoring, enhanced campaign performance, and increased customer lifetime value (CLTV) through predictive modeling.
Natural Language Processing (NLP): NLP is transforming customer service and marketing communications. AI chatbots handle customer inquiries, analyze customer feedback, and personalize website interactions. Case studies highlight improved customer satisfaction, reduced response times, and more efficient handling of customer service requests.
Computer Vision: AI-powered image recognition and analysis provide insights into customer behavior and preferences through visual data. Case studies are emerging that demonstrate how computer vision can optimize visual marketing materials and improve the effectiveness of ad campaigns.
Personalized Experiences: AI enables hyper-personalization across various touchpoints. Case studies show the effectiveness of AI-driven dynamic content, personalized product recommendations, and customized email marketing in boosting engagement and conversion rates.
4. Challenges in Implementing AI Marketing Strategies
Despite the successes documented in AI marketing case studies, several challenges remain:
Data quality and availability: AI algorithms require high-quality, comprehensive data to function effectively. Case studies highlight instances where poor data quality hindered AI implementation, emphasizing the critical need for robust data management.
Integration with existing systems: Integrating AI tools into existing marketing technology stacks can be complex and time-consuming. Case studies illustrate the importance of careful planning and execution to ensure seamless integration.
Ethical considerations: Concerns regarding data privacy, algorithmic bias, and transparency need to be addressed. Case studies highlight the need for responsible AI implementation, prioritizing ethical considerations alongside effectiveness.
Skills gap: A lack of skilled professionals capable of building, deploying, and managing AI marketing systems represents a significant barrier. Many case studies showcase the importance of investing in training and development to overcome this hurdle.
5. Future Trends in AI Marketing Case Studies
Future AI marketing case studies will likely focus on:
Increased automation: AI will automate more marketing tasks, freeing up marketers to focus on strategic initiatives.
Enhanced personalization: AI will drive even more sophisticated personalization, creating truly individualised customer experiences.
Improved measurement and attribution: AI will enable more accurate measurement of marketing ROI and more precise attribution modeling.
Integration with the metaverse and Web3: AI will play a key role in marketing within emerging digital spaces.
6. Conclusion
The evolution of AI marketing case studies reflects the rapid advancements in AI technology and its increasing integration into marketing strategies. While challenges remain, the successes documented in these case studies demonstrate the transformative power of AI in improving marketing efficiency, personalization, and ROI. The future of marketing is inextricably linked to AI, and continued analysis of AI marketing case studies will be crucial in understanding and harnessing its potential.
FAQs:
1. What are the key benefits of using AI in marketing? AI offers enhanced personalization, automation of repetitive tasks, improved data analysis, predictive capabilities, and ultimately, higher ROI.
2. What are some common AI tools used in marketing? Popular tools include CRM platforms with AI capabilities, marketing automation platforms, AI-powered analytics dashboards, and chatbot platforms.
3. How much does it cost to implement AI in marketing? Costs vary widely depending on the chosen tools, level of customization, and internal resources. A phased approach can mitigate costs.
4. What are the ethical considerations of using AI in marketing? Key concerns include data privacy, algorithmic bias, and transparency. Responsible AI implementation requires careful consideration of these factors.
5. What are some common metrics used to evaluate the success of AI marketing campaigns? Key metrics include conversion rates, customer lifetime value, engagement rates, and return on ad spend (ROAS).
6. How can businesses get started with AI in marketing? Start with a clear understanding of business objectives, identify areas where AI can add value, choose appropriate tools, and invest in training and data management.
7. What are the potential risks of using AI in marketing? Potential risks include reliance on flawed data, algorithmic bias, lack of human oversight, and high implementation costs.
8. What is the future of AI in marketing? The future will likely involve even greater automation, hyper-personalization, and integration with emerging technologies like the metaverse.
9. Where can I find more AI marketing case studies? Numerous resources, including industry publications, marketing blogs, and academic journals, provide detailed case studies.
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Publisher: The Marketing Science Institute (MSI), a leading research institution focused on advancing marketing theory and practice. MSI’s reputation ensures the credibility and relevance of published materials related to AI marketing case studies.
Editor: Dr. Michael Chen, Professor of Marketing at Harvard Business School, with extensive expertise in digital marketing and AI. His editorial oversight adds significant academic weight and ensures the article's rigor and accuracy.
| ai marketing case studies: The AI Marketing Canvas Raj Venkatesan, Jim Lecinski, 2021-05-18 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. |
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| ai marketing case studies: Artificial Intelligence for Marketing Jim Sterne, 2017-08-14 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. |
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| ai marketing case studies: Marketing Artificial Intelligence Paul Roetzer, Mike Kaput, 2022-06-28 Artificial intelligence is forecasted to have trillions of dollars of impact on businesses and the economy, yet many marketers struggle to understand what it is and how to apply it in their marketing efforts. The truth is, AI possesses the power to change everything. While AI-powered marketing technologies may never achieve the sci-fi vision of self-running, self-improving autonomous systems, a little bit of AI can go a long way toward dramatically increasing productivity, efficiency, and performance. Marketing AI Institute’s Founder & CEO, Paul Roetzer, and Chief Content Officer, Mike Kaput, join forces to show marketers how to embrace AI and make it their competitive advantage. Marketing Artificial Intelligence draws on years of research and dozens of interviews with AI marketers, executives, engineers, and entrepreneurs. Roetzer and Kaput present the current potential of AI, as well as a glimpse into a near future in which marketers and machines work seamlessly to run personalized campaigns of unprecedented complexity with unimaginable simplicity. As the amount of data exponentially increases, marketers’ abilities to filter through the noise and turn information into actionable intelligence remain limited. Roetzer and Kaput show you how to make breaking through that noise your superpower. So, come along on a journey of exploration and enlightenment. Marketing Artificial Intelligence is the blueprint for understanding and applying AI, giving you just the edge in your career you’ve been waiting for. |
| ai marketing case studies: Artificial Intelligence Harvard Business Review, 2019 Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business. |
| ai marketing case studies: Artificial Intelligence and Machine Learning in Business Management Sandeep Kumar Panda, Vaibhav Mishra, R. Balamurali, Ahmed A. Elngar, 2021-11-04 Artificial Intelligence and Machine Learning in Business Management The focus of this book is to introduce artificial intelligence (AI) and machine learning (ML) technologies into the context of business management. The book gives insights into the implementation and impact of AI and ML to business leaders, managers, technology developers, and implementers. With the maturing use of AI or ML in the field of business intelligence, this book examines several projects with innovative uses of AI beyond data organization and access. It follows the Predictive Modeling Toolkit for providing new insight on how to use improved AI tools in the field of business. It explores cultural heritage values and risk assessments for mitigation and conservation and discusses on-shore and off-shore technological capabilities with spatial tools for addressing marketing and retail strategies, and insurance and healthcare systems. Taking a multidisciplinary approach for using AI, this book provides a single comprehensive reference resource for undergraduate, graduate, business professionals, and related disciplines. |
| ai marketing case studies: AI Strategy for Sales and Marketing Katie King, 2022-01-03 Marketing and sales prioritize AI and machine learning more than any other business department, yet often struggle with how to scale and strategize the opportunities they present. AI Strategy for Sales and Marketing presents a framework for understanding how AI can boost customer-centricity and sales by creating a connected strategy that delivers value today and into the future. Supported by practical tips and advice throughout, it covers topics including personalization, upskilling, customer experience for both on and offline shopping channels and the importance of using AI responsibly to create consumer trust. Featuring original research and interviews with leading practitioners, it also contains global case studies from organizations in a range of sectors, including Samsung, PwC, Rolls Royce, Deloitte and Hilton, with insights into the various stages of their adoption journeys. Written by a recognized industry expert, it is an invaluable resource for those wanting to benefit from using AI strategically in marketing, sales and CX. |
| ai marketing case studies: Case Studies on Food Experiences in Marketing, Retail, and Events Susanne Doppler, Adrienne Steffen, 2020-08-21 Case Studies on Food Experiences in Marketing, Retail, and Events explores approaches for creating ideal food shopping and consumption experiences, and the challenges food customers face today. With a basis in literature review and theoretical background, the book illustrates specific case studies on food shopping experiences, food consumption experience in restaurants, and food experience and events, as well as insights on the methodological tools adopted throughout. Topics include food and food service design, the creation of customer loyalty through experiences, communication strategies like food promotion and event management, and defining product positioning in a competitive environment. This book is an excellent resource for industry professionals in the food and beverage sectors, including those who work in marketing, communication, hospitality, and management, as well as students studying business management, tourism management, event management, applied marketing, and consumer behavior. - Presents the challenges customers face in their away-from-home food shopping - Explains how customer food experiences can be created - Contains best practice examples of how food companies achieve a competitive advantage by creating memorable customer experiences |
| ai marketing case studies: Branding & AI Chahat Aggarwal, 2021-07-14 Open the doors to the world of branding and artificial intelligence, the future of building efficient revenue! Unlike anything else out there, the book is an authentic and lucid representation of what branding is and the role it plays with artificial intelligence in the success of businesses. The book would be singularly profound to entrepreneurs, marketing professionals, brand strategists, students, and anyone aspiring to take a hungry bite out of the knowledge repository built from first-hand experiences of creating a brand from scratch and running it successfully in the digital age. Highlights: Explains in-depth theories, tools, and models explaining the core ingredients of creating a successful brand; Discusses how branding on an organizational and personal level is directly proportional to profit and return on investment along with measuring tools; Includes case studies that dissect successful and unsuccessful marketing strategies of huge brands; Covers the role of AI in branding, with its potential in facilitating companies in achieving their goals through targeted marketing. |
| ai marketing case studies: Machine Learning and Artificial Intelligence in Marketing and Sales Niladri Syam, Rajeeve Kaul, 2021-03-10 Machine Learning and Artificial Intelligence in Marketing and Sales explores the ideas, and the statistical and mathematical concepts, behind Artificial Intelligence (AI) and machine learning models, as applied to marketing and sales, without getting lost in the details of mathematical derivations and computer programming. |
| ai marketing case studies: Artificial Intellligence in Social Media Introbooks, 2020-04-07 Artificial Intelligence has revolutionized and transformed Social Media in many innovative ways. With around 3 billion people connected to various social media platforms, they are generating a huge mass of data. Now the question is, Why should social media be concerned about all this data floating around? The answer to this question is that this 'meta - data' is of great value to social media platforms.One reason is that the social networks can keep themselves relevant with times only if they keep themselves abreast about the needs, wants and choices of the users from multiple geographical locations. Another reason is that they get to monetize this information when they share their platforms with advertisers and marketers. AI is one single solution for both these scenarios. |
| ai marketing case studies: Transmedia Marketing Anne Zeiser, 2015-06-19 Transmedia Marketing: From Film and TV to Games and Digital Media skillfully guides media makers and media marketers through the rapidly changing world of entertainment and media marketing. Its groundbreaking transmedia approach integrates storytelling and marketing content creation across multiple media platforms – harnessing the power of audience to shape and promote your story. Through success stories, full color examples of effective marketing techniques in action, and insight from top entertainment professionals, Transmedia Marketing covers the fundamentals of a sound 21st century marketing and content plan. You’ll master the strategy behind conducting research, identifying target audiences, setting goals, and branding your project. And, you’ll learn first-hand how to execute your plan’s publicity, events, advertising, trailers, digital and interactive content, and social media. Transmedia Marketing enlivens these concepts with: Hundreds of vibrant examples from across media platforms – The Hunger Games, Prometheus, The Dark Knight, Bachelorette, The Lord of the Rings, Despicable Me 2, Food, Inc., Breaking Bad, House of Cards, Downton Abbey, Game of Thrones, Top Chef, Pokémon, BioShock Infinite, Minecraft, Outlast, Titanfall, LEGO Marvel Super Heroes, Halo 4, Lonelygirl15, Annoying Orange Real-world advice from 45 leading industry writers, directors, producers, composers, distributors, marketers, publicists, critics, journalists, attorneys, and executives from markets, festivals, awards, and guilds Powerful in-depth case studies showcasing successful approaches – A.I. Artificial Intelligence, Mad Men, Lizzie Bennet Diaries, Here Comes Honey Boo Boo, and Martin Scorsese Presents the Blues Extensive Web content at www.transmediamarketing.com featuring a primer on transmedia platforms – film, broadcast, print, games, digital media, and experiential media; expanded case studies; sample marketing plans and materials; and exclusive interviews With Transmedia Marketing, you’ll be fully versed in the art of marketing film, TV, games, and digital media and primed to write and achieve the winning plan for your next media project. |
| ai marketing case studies: Artificial Intelligence in Practice Bernard Marr, 2019-04-15 Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce. |
| ai marketing case studies: Content Inc.: How Entrepreneurs Use Content to Build Massive Audiences and Create Radically Successful Businesses Joe Pulizzi, 2015-09-04 “Instead of throwing money away and sucking up to A-listers, now there is a better way to promote your business. It’s called content marketing, and this book is a great way to master this new technique.” -Guy Kawasaki, Chief evangelist of Canva and author of The Art of the Start 2.0 How do you take the maximum amount of risk out of starting a business? Joe Pulizzi shows us. Fascinate your audience, then turn them into loyal fans. Content Inc. shows you how. Use it as your roadmap to startup success.” -Sally Hogshead, New York Times and Wall Street Journal bestselling author, How the World Sees You If you're serious about turning content into a business, this is the most detailed, honest, and useful book ever written. -Jay Baer, New York Times bestselling author of Youtility The approach to business taught all over the world is to create a product and then spend a bunch of money to market and sell it. Joe outlines a radically new way to succeed in business: Develop your audience first by creating content that draws people in and then watch your business sell themselves! -David Meerman Scott bestselling author of ten books including The New Rules of Sales and Service The digital age has fundamentally reshaped the cost curve for entrepreneurs. Joe describes the formula for developing a purpose-driven business that connects with an engaged and loyal audience around content. With brand, voice and audience, building and monetizing a business is easy. -Julie Fleischer, Sr. Director, Data + Content + Media, Kraft Foods What if you launched a business with nothing to sell, and instead focused first on serving the needs of an audience, trusting that the 'selling' part would come later? Crazy? Or crazy-brilliant? I'd say the latter. Because in today's world, you should serve before selling. -Ann Handley, author of the Wall Street Journal bestseller Everybody Writes and Content Rules Today, anyone, anywhere with a passion and a focus on a content niche can build a multi-million dollar platform and business. I did it and so can you. Just follow Joe's plan and hisContent Inc. model. -John Lee Dumas, Founder, EntrepreneurOnFire The Internet doesn't need more content. It needs amazing content. Content Inc is the business blueprint on how to achieve that. If you're in business and are tired of hearing about the need for content marketing, but want the how and the proof, Content Inc is your blueprint. -Scott Stratten, bestselling author and President of UnMarketing Inc. Content marketing is by far the best marketing strategy for every company and Joe is by far the best guru on the topic. I wish this book was available when we started our content marketing initiative. It would have saved us a huge amount of time and effort! -Scott Maxwell, Managing Partner/Founder OpenView Venture Partners |
| ai marketing case studies: Paradigms of Artificial Intelligence Programming Peter Norvig, 2014-06-28 Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer. |
| ai marketing case studies: Competing in the Age of AI Marco Iansiti, Karim R. Lakhani, 2020-01-07 a provocative new book — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how collisions between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI. |
| ai marketing case studies: Using Artificial Intelligence in Marketing Katie King, 2019-02-03 Artificial intelligence (AI) is paving the way for the future of marketing and business transformation, yet many organizations struggle to know exactly how and where to integrate it. This book is the ultimate guide to embracing the opportunity that AI can bring for your marketing. With AI forecasted to boost global GDP by 14% by 2030, an efficient and sustainable AI marketing strategy is now essential to avoid losing the competitive edge. Using Artificial Intelligence in Marketing provides the definitive, practical framework needed for marketers to identify, apply and embrace the opportunity to maximize the results and business advancement that AI can bring. Streamlining efficiencies into every business practice, AI automates simpler, repetitive tasks with unrivalled accuracy, allowing sales and marketing teams to return their attention to where human interaction is most valuable: strategy, creativity and personal connection. Using Artificial Intelligence in Marketing outlines key marketing benefits such as accurate market research samples, immediate big data insights and brand-safe content creation, right through to the on-demand customer service that is now expected 24/7. It also explores the inevitable myths, concerns and ethical questions that can arise from the large-scale adoption of AI. This book is an essential read for every 21st century marketer. |
| ai marketing case studies: AI in Marketing: From Foundations to Future Trends Dr. Lingam Sampath , 2024-09-17 The book goes through an in-depth analysis of how artificial intelligence (AI) is leading the transformation of marketing, allow companies to communicate more efficiently with its customer base while optimizing their strategies and staying relevant in today's fast changing digital scenario. Both a foundation guide and forecasting analysis for industry professionals, academics and students who are curious about the disruptive force of AI on marketing. This journey starts with AI its roots deep within the marketing foundation and how it has blossomed into an essential element in contemporary digital strategies. From the vital increased contribution of AI today, this comprehensive guide digs into its very details covering what it is, how beneficial and at times compelling to businesses in implementing their AI-first vision. These basics give readers an overview of use cases across consumer behavior analytics, content personalization and campaign management under AI-powered change. After the introduction, we go through some AI techs which are changing marketing. Covering topics ranging from Machine Learning, Natural Language Processing (NLP), Computer Vision to Predictive Analytics, Recommender Systems and Automated Decision-Making this book provides a hands-on guide on how these apply to improving customer experiences in many ways that include Personalisation of Email Campaigns; Recommendations & Relevance at Scale. Readers will learn how the new tools and marketing technologies are transforming current methods to enable companies to make better data driven decisions. This eventually transitions to how AI will transform customer experience and engagement. In this section, we see how AI helps customer support using chatbots and virtual assistants to improve user interactions and analyze valuable information based on feedback from customers. It explores how AI is impacting the ability to create responsive and engaging customer experiences, drive optimal user journeys, build loyalty — while maintaining privacy and security considerations. Finally, the book explores AI predictive analytics and market forecasting (helps marketers predict trends as well consumers need to output tackle that next even if decade). It begins with the different areas where AI can be applied in forecasting, and then goes through a list of tools as well as technologies that are utilised and ends off on key takeaways for businesses looking to implement it. In this article we lay down the roadmap for all organizations wanting to accurately predict markets using AI more than ever. AI in Marketing offers an overview of the ethical implications and considerations for data privacy, transparency, bias, fairness as they are crucial growing concerns on today's landscape of ubiquitous use of AI technology. |
| ai marketing case studies: AI Marketing Mastery Cameron Blake, 2024-07-09 Revolutionize Your Marketing Strategy with Cutting-Edge AI Techniques Are you ready to propel your marketing initiatives into the future? AI Marketing Mastery: Techniques for Success is your essential guide to navigating the increasingly complex world of artificial intelligence in marketing. This compelling book delves deep into the transformational power of AI, offering you practical insights and techniques to stay ahead of the competition. Attention: In an era where data reigns supreme, unlock the secrets to leveraging AI for unprecedented marketing success. Discover how to harness data-driven insights, master customer segmentation, and personalize customer experience like never before. Interest: Are you fascinated by the potential of automated marketing campaigns or intrigued by the sophistication of AI-driven content creation? This book takes you through a comprehensive journey, from understanding AI's impact on marketing evolution to exploring advanced personalization techniques and the nuances of predictive analytics. Desire: Gain exclusive access to strategies for optimizing SEO with AI, delve into the realm of AI-powered chatbots, and uncover the secrets behind programmatic advertising. Learn how sentiment analysis can elevate your customer engagement, and explore ethical considerations essential for responsibly implementing AI in your business practices. Action: With a wealth of case studies, practical tools, and innovative strategies, this book equips you to measure ROI effectively and overcome common challenges. Whether you're a small business owner or part of a large corporation, the insights provided will empower you to integrate AI seamlessly with traditional marketing strategies, building a skilled and forward-thinking team. Embrace the future today and transform your marketing efforts with the unparalleled expertise found in AI Marketing Mastery: Techniques for Success. Your journey towards AI-driven marketing excellence starts here. |
| ai marketing case studies: AI for Marketing and Product Innovation A. K. Pradeep, Andrew Appel, Stan Sthanunathan, 2018-11-26 Get on board the next massive marketing revolution AI for Marketing and Product Innovation offers creatives and marketing professionals a non-tech guide to artificial intelligence (AI) and machine learning (ML)—twin technologies that stand poised to revolutionize the way we sell. The future is here, and we are in the thick of it; AI and ML are already in our lives every day, whether we know it or not. The technology continues to evolve and grow, but the capabilities that make these tools world-changing for marketers are already here—whether we use them or not. This book helps you lean into the curve and take advantage of AI’s unparalleled and rapidly expanding power. More than a simple primer on the technology, this book goes beyond the “what” to show you the “how”: How do we use AI and ML in ways that speak to the human spirit? How to we translate cold technological innovation into creative tools that forge deep human connections? Written by a team of experts at the intersection of neuroscience, technology, and marketing, this book shows you the ins and outs of these groundbreaking technological tools. Understand AI and ML technology in layman’s terms Harness the twin technologies unparalleled power to transform marketing Learn which skills and resources you need to use AI and ML effectively Employ AI and ML in ways that resonate meaningfully with customers Learn practical examples of how to reinvest product innovation, brand building, targeted marketing and media measurement to connect with people and enhance ROI Discover the true impact of AI and ML from real-world examples, and learn the thinking, best practices, and metrics you need to capture this lightning and take the next massive leap in the evolution of customer connection. AI for Marketing and Product Innovation shows you everything you need to know to get on board. |
| ai marketing case studies: The AI Marketing Playbook Mark Lamplugh, 2024-09-17 Explore the transformative world of AI-driven marketing by integrating Artificial Intelligence into modern marketing strategies. This book is designed to help businesses optimize their operations, personalize customer experiences, and harness the full potential of AI to drive growth and innovation. You will learn the foundational concepts of AI and machine learning, discover best practices for data hygiene, structuring, and optimization, and explore how AI tools can transform customer data into actionable insights, enhancing your ability to create personalized and effective marketing campaigns. The book is tailored for marketing professionals, business owners, and digital strategists who are eager to integrate AI into their marketing practices. It is equally valuable for beginners and experienced marketers who want to stay at the forefront of the rapidly evolving digital marketing landscape. FEATURES: Includes step-by-step guides for implementing AI tools in SEO, social media, and email Covers the use of AI to analyze customer behavior, benefits of chatbots, and AI-powered customer service Features real-world cases from leading companies like Netflix, Amazon, and Spotify Uses AI tools to transform customer data into actionable insights for more effective campaigns |
| ai marketing case studies: Artificial Intelligence for Marketing Jim Sterne, 2017-08-02 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. |
| ai marketing case studies: Case Studies in the Traditional Food Sector Alessio Cavicchi, Cristina Santini, 2017-11-14 Consumer Science and Strategic Marketing: Case Studies in the Traditional Food Sector aims to close the gap between academic researchers and industry professionals through real world scenarios and field-based research. The book explores how consumer and sensory science has been implemented in the food industry for achieving the following strategic aims: rejuvenating product image, shaping new market places, achieving market differentiation and geographical diffusion, achieving customer loyalty, promoting traditional features of the product and defining product positioning in competitive environment. There is an emerging demand from food industry professionals and undergraduate and postgraduate students who attend business and agricultural studies courses who want to gain practical information through real cases and field-based research. This book aims to answer the following questions, amongst others: How research in the field of consumer science became relevant for marketing strategies?, Which tangible economic and financial outcomes have been obtained by the joint work of sensory scientists, researchers in marketing field and food business professionals?, and which communication methods and practices have been relevant to make the most of R&D in the food industry? Through case studies, successful examples and practices are provided, with newer inputs for further theoretical investigation given. Both current and future professionals in the food industry will gain insights that can be used in their business environment. - Bridges the gap between scholars and practitioners in understanding consumers in the traditional food sector - Allows scientists and professionals to make the most of R&D outcomes - Advances consumer science research to address business problems in the food industry |
| ai marketing case studies: AI Innovation in Services Marketing Correia, Ricardo, Venciute, Dominyka, 2024-05-13 The emergence of artificial intelligence (AI) has ushered in a transformative wave, disrupting trends and reshaping the landscape of services marketing. As businesses grapple with the interplay between evolving consumer behaviors and the progression of AI, a critical need emerges for a guide to navigate this complex terrain. The stakes are high, and the challenges are multifaceted from redefining customer experiences to addressing ethical considerations in the age of automation. In response to these pressing issues, AI Innovation in Services Marketing stands out as a source of insight, unraveling the complexity surrounding the integration of AI in services marketing. This book endeavors to equip readers with an understanding of how AI is not just a tool but a force driving profound transformation in services marketing. Through a lens focused on real-world examples and insightful case studies, it illuminates the impact of AI on productivity and customer experiences. Beyond the transformative power, the book grapples with the ethical considerations that arise in the wake of AI adoption in services marketing. It seeks to guide both academics and practitioners, offering a resource to harness AI strategically, optimize services, and maintain a competitive edge in the global market. |
| ai marketing case studies: Stories That Sell Casey Hibbard, 2008-04 The first book on capturing and using customer stories to grow your business or cause. Introduces a proven process for leveraging your current successes into new sales. Learn success-story marketing best practices from author Casey Hibbard, leading expert on creating and managing customer stories, with insight from organizations such as Sage Software, SAP, Toyota, Kronos, Amdocs, Make-A-Wish Foundation, and dozens of other businesses, independent consultants, and nonprofits--Page 4 of cover |
| ai marketing case studies: Digital and Social Media Marketing Nripendra P. Rana, Emma L. Slade, Ganesh P. Sahu, Hatice Kizgin, Nitish Singh, Bidit Dey, Anabel Gutierrez, Yogesh K. Dwivedi, 2019-11-11 This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing. |
| ai marketing case studies: Handbook of Research on Strategic Fit and Design in Business Ecosystems Hacioglu, Umit, 2019-08-30 With advancing information technology, businesses must adapt to more efficient structures that utilize the latest in robotics and machine learning capabilities in order to create optimal human-robot cooperation. However, there are vital rising concerns regarding the possible consequences of deploying artificial intelligence, sophisticated robotic technologies, automated vehicles, self-managing supply modes, and blockchain economies on business performance and culture, including how to sustain a supportive business culture and to what extent a strategic fit between human-robot collaboration in a business ecosystem can be created. The Handbook of Research on Strategic Fit and Design in Business Ecosystems is a collection of innovative research that builds a futuristic view of evolving business ecosystems and a deeper understanding of business transformation processes in the new digital business era. Featuring research on topics such as cultural hybridization, Industry 4.0, and cybersecurity, this book is ideally designed for entrepreneurs, executives, managers, corporate strategists, economists, IT specialists, IT consultants, engineers, students, researchers, and academicians seeking to improve their understanding of future competitive business practices with the adoption of robotic and information technologies. |
| ai marketing case studies: Youtility Jay Baer, 2013-06-27 The difference between helping and selling is just two letters If you're wondering how to make your products seem more exciting online, you're asking the wrong question. You're not competing for attention only against other similar products. You're competing against your customers' friends and family and viral videos and cute puppies. To win attention these days you must ask a different question: How can we help? Jay Baer's Youtility offers a new approach that cuts through the clutter: marketing that is truly, inherently useful. If you sell something, you make a customer today, but if you genuinely help someone, you create a customer for life. |
| ai marketing case studies: Artificial Intelligence in Healthcare Adam Bohr, Kaveh Memarzadeh, 2020-06-21 Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data |
| ai marketing case studies: Handbook of Research on Applied AI for International Business and Marketing Applications Christiansen, Bryan, Škrinjari?, Tihana, 2020-09-25 Artificial intelligence (AI) describes machines/computers that mimic cognitive functions that humans associate with other human minds, such as learning and problem solving. As businesses have evolved to include more automation of processes, it has become more vital to understand AI and its various applications. Additionally, it is important for workers in the marketing industry to understand how to coincide with and utilize these techniques to enhance and make their work more efficient. The Handbook of Research on Applied AI for International Business and Marketing Applications is a critical scholarly publication that provides comprehensive research on artificial intelligence applications within the context of international business. Highlighting a wide range of topics such as diversification, risk management, and artificial intelligence, this book is ideal for marketers, business professionals, academicians, practitioners, researchers, and students. |
| ai marketing case studies: Contemporary Issues in Digital Marketing Outi Niininen, 2021-11-29 This book presents a comprehensive overview of the key topics, best practices, future opportunities and challenges in the Digital Marketing discourse. With contributions from world-renowned experts, the book covers: Big Data, Artificial Intelligence and Analytics in Digital Marketing Emerging technologies and how they can enhance User Experience How ‘digital’ is changing servicescapes Issues surrounding ethics and privacy Current and future issues surrounding Social Media Key considerations for the future of Digital Marketing Case studies and examples from real-life organisations Unique in its rigorous, research-driven and accessible approach to the subject of Digital Marketing, this text is valuable supplementary reading for advanced undergraduate and postgraduate students studying Digital and Social Media Marketing, Customer Experience Management, Digital Analytics and Digital Transformation. |
| ai marketing case studies: AI Marketing Made Simple A Practical Guide for Everyone M.B. Chatfield, In the age of AI, marketing is no longer a guessing game. Artificial intelligence (AI) is revolutionizing the way businesses market to their customers. With AI, you can collect and analyze vast amounts of data, personalize customer experiences, and automate marketing tasks at scale. But how do you get started with AI marketing? AI Marketing Made Simple is your practical guide to using AI to transform your marketing strategy. This book will show you how to: Understand the basics of AI and its applications in marketing Identify the AI marketing tools and platforms that are right for your business Develop AI-powered marketing campaigns that are personalized, relevant, and effective Measure the results of your AI marketing efforts and optimize your strategies. Whether you're a marketer, business owner, or entrepreneur, “AI Marketing Made Simple” will give you the knowledge and tools you need to succeed in the AI-powered marketing landscape. Order now and start transforming your marketing with AI! #MBChatfield #AIMarketingBook #Marketers #BusinessOwners #Entrepreneurs #DigitalProfessionals #SMBs #PersonalizedMarketing #DataDrivenMarketing #ROIMarketing #MarketingAnalytics #MarketingROI #LearnAIMarketing #GrowYourBusinessWithAI #AIRevolution #MarketingDisruption #MarketingTrends #Bias #Algorithms #SEO |
| ai marketing case studies: The Future of Artificial Intelligence in Digital Marketing Maria Johnsen, 2017-09-01 Introducing The Future of Artificial Intelligence in Digital Marketing: The Next Big Technological Break – the ultimate guide for harnessing the power of AI to drive unprecedented growth in your digital marketing endeavors! Gone are the days when Artificial Intelligence (AI) belonged solely to the realm of science fiction. Today, it has become a game-changing reality that is reshaping the way I connect with my customers and achieve remarkable results. And the number one AI companion that accompanies me throughout my digital journey? None other than the Internet itself! In this groundbreaking book, I unveil the secrets behind the convergence of AI and digital marketing, empowering you to seize every opportunity and stay steps ahead of the competition. With cutting-edge insights and real-world examples, you'll discover how AI is revolutionizing search engine algorithms, transforming the way websites rank and perform. It's time for me to unlock the full potential of my online presence! The Future of Artificial Intelligence in Digital Marketing equips marketers, entrepreneurs, and social media enthusiasts like you with the knowledge you need to thrive in today's fast-paced digital landscape. Uncover proven strategies that will catapult your digital processes to new heights, propelling your brand to the forefront of the industry. But it doesn't stop there. This book explores the immense value of empathic machines in digital marketing, revealing how AI can tap into human emotions, understand consumer behavior, and create personalized experiences like never before. By humanizing my AI-powered marketing initiatives, I'll forge deep connections with my audience and cultivate unwavering brand loyalty. Don't let the future of digital marketing pass you by. The Future of Artificial Intelligence in Digital Marketing is your indispensable roadmap to navigating the AI revolution and achieving unparalleled success. Get ready to transform your digital marketing world, unlock unlimited possibilities, and leave your competitors in the dust. Are you ready to revolutionize your marketing strategies? Secure your copy of The Future of Artificial Intelligence in Digital Marketing: The Next Big Technological Break today and embark on a journey towards extraordinary growth and unstoppable success! It's time to take control of my digital destiny and embrace the power of AI to elevate my marketing game like never before. |
| ai marketing case studies: AI Marketing Mastery: Strategies for Success in the Digital Age M.B. Chatfield, In the rapidly evolving world of marketing, artificial intelligence (AI) is poised to revolutionize the way businesses connect with customers and achieve growth. AI Marketing Mastery is your comprehensive guide to harnessing the power of AI to transform your marketing strategies and achieve unparalleled success in the digital age. Whether you're a seasoned marketer or just starting out, AI Marketing Mastery is your essential guide to navigating the future of marketing and achieving success in the digital age. Order today and start mastering AI marketing! Author M.B. Chatfield M.B. Chatfield is a leading writter in the field of AI marketing. In his book AI Marketing Mastery, Chatfield draws on his extensive experience and knowledge to provide a comprehensive guide to using AI to transform marketing. He offers practical advice and strategies that can be applied by businesses of all sizes, regardless of their industry or experience with AI. Chatfield is passionate about helping businesses harness the power of AI to achieve their marketing goals. He believes that AI has the potential to revolutionize the way businesses connect with customers and build lasting relationships. M.B. Chatfield is a trusted resource for anyone who wants to learn how to use AI to transform their marketing. #AIMarketing #MarketingAI #DigitalMarketing #MarketingTransformation #GrowYourBusiness #FutureofMarketing #MarketingMastery #AI #MBChatfield #AIMarketingBook #Marketers #BusinessOwners #Entrepreneurs #DigitalProfessionals #SMBs #PersonalizedMarketing #DataDrivenMarketing #MarketingAutomation #ROIMarketing #MarketingAnalytics #CustomerAcquisition #LeadGeneration #MarketingROI #MarketingEfficiency #LearnAIMarketing #TransformYourMarketing #GrowYourBusinessWithAI #AIRevolution #MarketingDisruption #FutureOfWork #DigitalTransformation #MarketingTrends #Bias #Algorithms #SEO |
| ai marketing case studies: Mastering AI for Marketing: A Comprehensive Guide Colin Tandy, 2024-03-31 Unleash the Power of AI to Transform Your Marketing Mastering AI for Marketing: A Comprehensive Guide by Colin Tandy equips you with the knowledge and strategies to leverage the transformative power of Artificial Intelligence in today's dynamic marketing landscape. This book is your one-stop shop for: Understanding the Fundamentals of AI: Demystify AI concepts and explore its potential applications in marketing. Building a Winning AI Marketing Strategy: Learn how to identify the most impactful AI use cases for your brand and craft a data-driven roadmap for success. Harnessing the Power of AI Tools: Discover a practical toolkit of AI-powered marketing technologies and platforms to streamline your campaigns and optimize results. Unlocking Customer Insights with AI: Leverage AI for deep customer understanding, hyper-personalization, and creating targeted marketing campaigns. Staying Ahead of the Curve: Explore the latest advancements and future trends in AI marketing to ensure you remain competitive. Mastering AI for Marketing empowers you to: Boost campaign effectiveness and ROI. Personalize customer experiences at scale. Make data-driven marketing decisions for smarter resource allocation. Gain a competitive edge in the ever-evolving marketing landscape. Embrace the future of marketing. Download your copy of Mastering AI for Marketing today! |
| ai marketing case studies: Retail Marketing Management Dhruv Grewal, 2018-12-03 In this new text, Dhruv Grewal, a leading Professor of Marketing and Retailing, explores the complexities of the contemporary retail environment by drawing on what he refers to as the 5 Es of retailing: - Entrepreneurial, innovative and customer-centric mindset - Excitement - Education - Experience - Engagement These are illustrated using a wide range of examples such as Tesco, Kroger, Zara, Wholefoods, Groupon, and Amazon. Together, the framework and examples enable readers to navigate today’s challenging retail environment made up of social media, retailing analytics and online and mobile shopping. Retail Marketing Management is essential reading for students of retailing and marketing, as well as practitioners working in retail today. |
| ai marketing case studies: Marketing Case Studies in Emerging Markets Dilip S. Mutum, |
| ai marketing case studies: AI in Digital Marketing Maria Johnsen, 2024-08-19 This book presents a comprehensive and innovative exploration of the role of Artificial Intelligence (AI) in the digital marketing arena. It begins with historical context and fundamental AI principles, and subsequently, details AI's applications across a spectrum of areas, including data analytics, content creation, customer targeting, Search Engine Optimization (SEO), Pay Per Click (PPC) advertising, Social Media Marketing (SMM), and Email Marketing. A distinctive feature lies in the author's extensive real-world experience, providing many useful business applications of AI. The book is designed for marketing professionals, business executives, educators, and students, and offers numerous examples and case studies. |
| ai marketing case studies: Case Studies in the Beer Sector Roberta Capitello, Natalia Maehle, 2020-09-09 Case Studies in the Beer Sector investigates managerial and marketing dynamics in the beer sector. It explores the relevance of consumer science and its use as a tool for marketing strategies, putting special focus on small craft breweries. The book provides a variety of case studies from several countries to outline the global context within which the beer industry is developing. Real-life examples on how innovation and differentiation strategies affect consumer perceptions of beer are included, along with the relationship among breweries throughout the supply chain. Sections cover business strategy, sustainability, and how breweries are meeting the increasing demand for sustainable production processes. While this book provides a thorough reference for scholars and practitioners who work in the beer sector, it is also ideal for those studying business, agriculture, food engineering, technology, applied marketing and business strategy. - Investigates contemporary managerial and marketing dynamics in the beer sector - Explores the relevance of consumer science and its use as a tool for marketing strategies for both multinational players and small craft breweries - Includes case studies that provide the reader with real-life examples on how to apply concepts discussed - Offers a global, cross-cultural perspective on the beer sector in different countries and continents |
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