It's a tough time to be a scientist: universities are shuttering science departments, federal funding agencies are facing flat budgets, and many newspapers have dropped their science sections altogether. But according to Marc Kuchner, this antiscience climate doesn't have to equal a career death knell-it just means scientists have to be savvier about promoting their work and themselves. In Marketing for Scientists, he provides clear, detailed advice about how to land a good job, win funding, and shape the public debate. As an astrophysicist at NASA, Kuchner knows that "marketing" can seem like a superficial distraction, whether your daily work is searching for new planets or seeking a cure for cancer. In fact, he argues, it's a critical component of the modern scientific endeavor, not only advancing personal careers but also society's knowledge. Kuchner approaches marketing as a science in itself. He translates theories about human interaction and sense of self into methods for building relationships-one of the most critical skills in any profession. And he explains how to brand yourself effectively-how to get articles published, give compelling presentations, use social media like Facebook and Twitter, and impress potential employers and funders. Like any good scientist, Kuchner bases his conclusions on years of study and experimentation. In Marketing for Scientists, he distills the strategies needed to keep pace in a Web 2.0 world.

MARKETING FOR ENGINEERS, SCIENTISTS AND TECHNOLOGISTS Dr Tony Curtis covers everything that engineers need to know about marketing and project management. The book has been written in an easy to read style with clear learning outcomes and objectives. In my opinion this should be mandatory reading for all engineers who are involved in the design and marketing of products and services. Dr Naren Gupta, Senior Lecturer and Teaching Fellow, Director of Quality, School of Engineering and the Built Environment, Napier University In working with a range of professionals across many industry sectors one often finds it is the technologists and scientists that gain the most out of acquiring skills and knowledge in marketing. Not only does their structured and analytical approach lend itself to strategic marketing but those skills, combined with a clear customer focus and an innovative approach to the market, can give them the portfolio of skills required for successful leadership. Deirdre Makepeace, Senior Examiner, CIM To succeed, products and services must satisfy customers’ needs and wants. Engineers, scientists and technologists need to understand these needs to develop and deliver better products. This book covers consumer products, services, international and business to business marketing, as well as current issues such as green and social marketing and the service extended marketing mix. Tony Curtis also discusses the core management skills needed to implement marketing plans, such as leadership, negotiation and consultancy. Finally, he brings all these elements together into three key areas; new product development, market driven quality and marketing plans. Written by a technologist for technologists, this book is essential reading for engineers and scientists taking a module in business studies or marketing at all levels. It also provides a good foundation in marketing strategy for MBA students with a technical or scientific first degree. Supporting material for lecturers is available at www.wileyeurope.com/college/curtis

Marketing decisions often misfire when driven more by beliefs than by knowledge. This book will guide you on how to differentiate between the two and to think more clearly and correctly when making those decisions, thereby increasing organizational success. The author has based this book on the fields of epistemology—the study of how knowledge is created—and the philosophy of science— the study of what it means for a science to be called a science. The motivation behind the book is quite simple: Given that science is so successful, why shouldn’t marketers borrow thinking and reasoning skills from science and apply them to marketing? Indeed, why not? The book details the groundwork for learning how to apply scientific reasoning to the field of marketing, such as some basic and important definitions (“What is a belief?” “What is knowledge?”), and identifies barriers to scientific reasoning, giving an example from the Dow Chemical Company and just how Dow uses critical thinking and reasoning skills to make more effective marketing and business decisions. You’ll also learn some real “thinking tools” you will need to apply scientific reasoning to solving your marketing problems. It introduces topics relating to attributes versus constructs, the meaning of causation, the relationship between coherence and justified beliefs, the importance of logic to sound reasoning, and the avoidance of logical fallacies in making sound recommendations. The book concludes by giving you direction to further improve your ability to apply scientific reasoning to solving marketing problems.

Create breakthrough marketing campaigns by harnessing the power of R.E.D. Marketing: a transparent and flexible methodology straight from marketing powerhouse Yum! Brands. Sidestep the marketing books, courses, and even TED talks that offer hypothetical explanations that sound sensible and embrace the proven, systematic approach of R.E.D. Marketing, which the recent CEO and current CMO of Yum! Brands applied to lead Taco Bell and KFC to double digit growth. This book, filled with simple frameworks and engaging stories, will help everyone in your company understand what really works for driving sustainable brand growth and business success. In 2011, Greg Creed had just been elevated from President to CEO of Taco Bell, a brand in deep distress at the time. It was on his shoulders to turn things around quickly along with co-author and CMO, Ken Muench. Together, they developed the R.E.D (Relevance, Ease, Distinctiveness) method. It’s simple methodology does not require complicated terms and a PhD to understand, it’s actually quite simple—marketing works in three very different ways: Relevance—Is it relevant to the marketplace? Ease—Is it easy to access and use? Distinction—Does it stand out from competition? By combining actual examples from Yum! and other recognizable brands of every size around the world with the latest findings in marketing, neuroscience, and behavioral economics, and the author’s own experience marketing three different brands across 120 countries, your brand can set and achieve a truly breakthrough marketing campaign utilizing R.E.D Marketing.

Optimize your marketing strategies through analytics and machine learning Key FeaturesUnderstand how data science drives successful marketing campaignsUse machine learning for better customer engagement, retention, and product recommendationsExtract insights from your data to optimize marketing strategies and increase profitabilityBook Description Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies. This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R. By the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business. What you will learnLearn how to compute and visualize marketing KPIs in Python and RMaster what drives successful marketing campaigns with data scienceUse machine learning to predict customer engagement and lifetime valueMake product recommendations that customers are most likely to buyLearn how to use A/B testing for better marketing decision makingImplement machine learning to understand different customer segmentsWho this book is for If you are a marketing professional, data scientist, engineer, or a student keen to learn how to apply data science to marketing, this book is what you need! It will be beneficial to have some basic knowledge of either Python or R to work through the examples. This book will also be beneficial for beginners as it covers basic-to-advanced data science concepts and applications in marketing with real-life examples.

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.

The field of marketing science has a rich history of modeling marketing phenomena using the disciplines of economics, statistics, operations research, and other related fields. Since it is roughly 50 years from its origins, The History of Marketing Science is a timely review of the accomplishments of marketing scientists in a number of research areas.Different research areas of marketing science, such as Pricing, Internet Marketing, Diffusion Models, and Advertising, are treated to a highly readable and easy-to-digest historical analysis by the contributing authors. Each chapter provides a chronological timeline of key historical developments in the area of marketing science covered. Readers of other disciplinary backgrounds outside of economics, statistics, and operations research will be more than able to appreciate the development of marketing science as a field of research and its pioneers through the book.

This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real marketing questions, organized by key topic areas. Following the Python scientific computing movement toward reproducible research, the book presents all analyses in Colab notebooks, which integrate code, figures, tables, and annotation in a single file. The code notebooks for each chapter may be copied, adapted, and reused in one's own analyses. The book also introduces the usage of machine learning predictive models using the Python sklearn package in the context of marketing research. This book is designed for three groups of readers: experienced marketing researchers who wish to learn to program in Python, coming from tools and languages such as R, SAS, or SPSS; analysts or students who already program in Python and wish to learn about marketing applications; and undergraduate or graduate marketing students with little or no programming background. It presumes only an introductory level of familiarity with formal statistics and contains a minimum of mathematics.