Download or read book Marketing for Scientists written by Marc J. Kuchner and published by Island Press. This book was released on 2012-06-22 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Persuading Scientists written by Hamid Ghanadan and published by Rockbench Publishing. This book was released on 2012 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Catalytic Experiences written by Hamid Ghanadan and published by . This book was released on 2016-05-25 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Marketing for Engineers Scientists and Technologists written by Tony Curtis and published by Wiley. This book was released on 2008-05-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book R E D Marketing written by Greg Creed and published by HarperCollins Leadership. This book was released on 2021-06-08 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Hands On Data Science for Marketing written by Yoon Hyup Hwang and published by Packt Publishing Ltd. This book was released on 2019-03-29 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Scientific Advertising written by Claude C. Hopkins and published by New Line Publishing. This book was released on 1968 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Learning and Artificial Intelligence in Marketing and Sales written by Niladri Syam and published by Emerald Group Publishing. This book was released on 2021-03-10 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Python for Marketing Research and Analytics written by Jason S. Schwarz and published by Springer Nature. This book was released on 2020-11-03 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book R for Marketing Research and Analytics written by Chris Chapman and published by Springer. This book was released on 2015-03-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis. Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis. With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.
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 The History Of Marketing Science written by Russell S Winer and published by World Scientific. This book was released on 2014-06-27 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Management for Scientists written by Robert B. Mellor and published by Emerald Group Publishing. This book was released on 2019-03-19 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Management for Scientists explores the core theories and practices in management studies today in a context applicable to those working in the scientific industries. Chapters feature a range of real-world examples presented by experienced scientists with strategic and economic business expertise.
Download or read book Advanced Digital Marketing Strategies in a Data Driven Era written by Saura, Jose Ramon and published by IGI Global. This book was released on 2021-06-25 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last decade, the use of data sciences in the digital marketing environment has increased. Digital marketing has transformed how companies communicate with their customers around the world. The increase in the use of social networks and how users communicate with companies on the internet has given rise to new business models based on the bidirectionality of communication between companies and internet users. Digital marketing, new business models, data-driven approaches, online advertising campaigns, and other digital strategies have gathered user opinions and comments through this new online channel. In this way, companies are beginning to see the digital ecosystem as not only the present but also the future. However, despite these advances, relevant evidence on the measures to improve the management of data sciences in digital marketing remains scarce. Advanced Digital Marketing Strategies in a Data-Driven Era contains high-quality research that presents a holistic overview of the main applications of data sciences to digital marketing and generates insights related to the creation of innovative data mining and knowledge discovery techniques applied to traditional and digital marketing strategies. The book analyzes how companies are adopting these new data-driven methods and how these strategies influence digital marketing. Discussing topics such as digital strategies, social media marketing, big data, marketing analytics, and data sciences, this book is essential for marketers, digital marketers, advertisers, brand managers, managers, executives, social media analysts, IT specialists, data scientists, students, researchers, and academicians in the field.
Download or read book Networking for Nerds written by Alaina G. Levine and published by John Wiley & Sons. This book was released on 2015-05-13 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networking for Nerds provides a step-by-step guide to understanding how to access hidden professional opportunities through networking. With an emphasis on practical advice on how and why to network, you will learn how to formulate and execute a strategic networking plan that is dynamic, multidimensional, and leverages social media platforms and other networking channels. An invaluable resource for both established and early-career scientists and engineers (as well as networking neophytes!), Networking for Nerds offers concrete insight on crafting professional networks that are mutually beneficial and support the advancement of both your career goals and your scholarly ambitions. “Networking” does not mean going to one reception or speaking with a few people at one conference, and never contacting them again. Rather, “networking” involves a spectrum of activities that engages both parties, ensures everyone’s value is appropriately communicated, and allows for the exploration of a win-win collaboration of some kind. Written by award-winning entrepreneur and strategic career planning expert Alaina G. Levine, Networking for Nerds is an essential resource for anyone working in scientific and engineering fields looking to enhance their professional planning for a truly fulfilling, exciting, and stimulating career. professional planning for a truly fulfilling, exciting, and stimulating career.Networking for Nerds provides a step-by-step guide to understanding how to access hidden professionalopportunities through networking. With an emphasis on practical advice on how and why to network, youwill learn how to formulate and execute a strategic networking plan that is dynamic, multidimensional, andleverages social media platforms and other networking channels.An invaluable resource for both established and early-career scientists and engineers (as well as networkingneophytes!), Networking for Nerds offers concrete insight on crafting professional networks that aremutually beneficial and support the advancement of both your career goals and your scholarly ambitions.“Networking” does not mean going to one reception or speaking with a few people at one conference, andnever contacting them again. Rather, “networking” involves a spectrum of activities that engages bothparties, ensures everyone’s value is appropriately communicated, and allows for the exploration of a win-wincollaboration of some kind.Written by award-winning entrepreneur and strategic career planning expert Alaina G. Levine, Networking forNerds is an essential resource for anyone working in scientific and engineering fields looking to enhance theirprofessional planning for a truly fulfilling, exciting, and stimulating career.
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 Science Policy and the Value Free Ideal written by Heather E. Douglas and published by University of Pittsburgh Pre. This book was released on 2009-07-15 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: The role of science in policymaking has gained unprecedented stature in the United States, raising questions about the place of science and scientific expertise in the democratic process. Some scientists have been given considerable epistemic authority in shaping policy on issues of great moral and cultural significance, and the politicizing of these issues has become highly contentious. Since World War II, most philosophers of science have purported the concept that science should be "value-free." In Science, Policy and the Value-Free Ideal, Heather E. Douglas argues that such an ideal is neither adequate nor desirable for science. She contends that the moral responsibilities of scientists require the consideration of values even at the heart of science. She lobbies for a new ideal in which values serve an essential function throughout scientific inquiry, but where the role values play is constrained at key points, thus protecting the integrity and objectivity of science. In this vein, Douglas outlines a system for the application of values to guide scientists through points of uncertainty fraught with moral valence.Following a philosophical analysis of the historical background of science advising and the value-free ideal, Douglas defines how values should-and should not-function in science. She discusses the distinctive direct and indirect roles for values in reasoning, and outlines seven senses of objectivity, showing how each can be employed to determine the reliability of scientific claims. Douglas then uses these philosophical insights to clarify the distinction between junk science and sound science to be used in policymaking. In conclusion, she calls for greater openness on the values utilized in policymaking, and more public participation in the policymaking process, by suggesting various models for effective use of both the public and experts in key risk assessments.
