Marketing for Scientists

Marketing for Scientists PDF

Author: Marc J. Kuchner

Publisher: Island Press

Published: 2012-06-22

Total Pages: 248

ISBN-13: 1610911733

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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.

Machine Learning and Artificial Intelligence in Marketing and Sales

Machine Learning and Artificial Intelligence in Marketing and Sales PDF

Author: Niladri Syam

Publisher: Emerald Group Publishing

Published: 2021-03-10

Total Pages: 177

ISBN-13: 1800438826

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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.

Data Science for Marketing Analytics

Data Science for Marketing Analytics PDF

Author: Mirza Rahim Baig

Publisher: Packt Publishing Ltd

Published: 2021-09-07

Total Pages: 637

ISBN-13: 1800563884

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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.

R for Marketing Research and Analytics

R for Marketing Research and Analytics PDF

Author: Chris Chapman

Publisher: Springer

Published: 2015-03-25

Total Pages: 0

ISBN-13: 9783319144351

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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.

Python for Marketing Research and Analytics

Python for Marketing Research and Analytics PDF

Author: Jason S. Schwarz

Publisher: Springer Nature

Published: 2020-11-03

Total Pages: 272

ISBN-13: 3030497208

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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.

R.E.D. Marketing

R.E.D. Marketing PDF

Author: Greg Creed

Publisher: HarperCollins Leadership

Published: 2021-06-08

Total Pages: 289

ISBN-13: 140022330X

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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.

The History of Marketing Science

The History of Marketing Science PDF

Author: Russell S Winer

Publisher: World Scientific

Published: 2014-06-27

Total Pages: 528

ISBN-13: 9814596493

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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. Contents:The History of Marketing Science: Beginnings (Scott A Neslin and Russell S Winer)Methods:Brand Choice Models (Gary J Russell)Conjoint Analysis (Vithala R Rao)Innovation Diffusion (Eitan Muller)Econometric Models (Dominique M Hanssens)Market Structure Research (Steven M Shugan)Stochastic Models of Buyer Behavior (Peter S Fader, Bruce G S Hardie and Subrata Sen)Management:Advertising Effectiveness (Gerard J Tellis)Branding and Brand Equity Models (Tulin Edem and Joffre Swait)Distribution Channels (Richard Staelin and Eunkyu Lee)Customer Relationship Management (CRM) (Scott A Neslin)Digital and Internet Marketing (Wendy W Moe and David A Schweidel)New Products Research (Donald R Lehmann and Peter N Golder)Organizational Buying Behavior (Gary L Lilien)Pricing (Russell S Winer)Sales Force Productivity Models (Murali K Mantrala)Sales Promotions (Kusum L. Ailawadi and Sunil Gupta) Readership: Students of marketing science; researchers in the science of marketing; and general public interested in 50 years of marketing science history. Key Features:Provides a roadmap of the development of 16 areas of marketing science that is useful from a historical perspective and identifies the important gaps in the literature that can provide an impetus for future researchA great resource for the main consumers of the academic marketing research literature: doctoral students, faculty, and marketing science practitioners in consulting firms and companiesEmphasizes both the role and the importance that pioneers in marketing science have had in the rapid development of the field over the past 50 yearsKeywords:Marketing;Marketing Science;Marketing Models;Quantitative Analysis;History of Marketing

Scientific advertising

Scientific advertising PDF

Author: Claude C. Hopkins

Publisher: David De Angelis

Published: 2022-09-06

Total Pages: 90

ISBN-13:

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The time has come when advertising has in some hands reached the status of a science. It is based on fixed principles and is reasonably exact. The causes and effects have been analyzed until they are well understood. The correct methods of procedure have been proved and established. We know what is most effective, and we act on basic laws. Advertising, once a gamble, has thus become, under able direction, one of the safest business ventures. Certainly, no other enterprise with comparable possibilities need involve so little risk. Therefore, this book deals, not with theories and opinions, but with well-proved principles and facts. It is written as a text book for students and a safe guide for advertisers. Every statement has been weighed. The book is confined to established fundamentals. If we enter any realms of uncertainty we shall carefully denote them. The present status of advertising is due to many reasons. Much national advertising has long been handled by large organizations known as advertising agencies. Some of these agencies, in their hundreds of campaigns, have tested and compared the thousands of plans and ideas. The results have been watched and recorded, so no lessons have been lost. Such agencies employ a high grade of talent. None but able and experienced men can meet the requirements in national advertising. Working in cooperation, learning from each other and from each new undertaking, some of these men develop into masters. Individuals may come and go, but they leave their records and ideas behind them. These become a part of the organization's equipment, and a guide to all who follow. Thus, in the course of decades, such agencies become storehouses of advertising experiences, proved principles, and methods. The larger agencies also come into intimate contact with experts in every department of business. Their clients are usually dominating concerns. So they see the results of countless methods and polices. They become a clearing house for everything pertaining to merchandising. Nearly every selling question which arises in business is accurately answered by many experiences. Under these conditions, where they long exist, advertising and merchandising become exact sciences. Every course is charted. The compass of accurate knowledge directs the shortest, safest, cheapest course to any destination. We learn the principles and prove them by repeated tests. This is done through keyed advertising, by traced returns, largely by the use of coupons. We compare one way with many others, backward and forward, and record the results. When one method invariably proves best, that method becomes a fixed principle.