The Science Of Marketing PDF Download
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Author | : Dan Zarrella |
Publisher | : Wiley |
Total Pages | : 208 |
Release | : 2013-04-22 |
Genre | : Business & Economics |
ISBN | : 9781118138274 |
Download The Science of Marketing Book in PDF, ePub and Kindle
Scientific marketing research delivers proven marketing tactics and tips The Science of Marketing applies a scientific approach to the way businesses and brands approach marketing. It uses a combination of marketing, statistical, and psychological research to explain why and, more importantly, how, companies should adapt marketing strategies such as blogging, social media, email marketing, and webinars to achieve maximium results. The book contradicts what the author calls the "unicorns and rainbows" strategy that simply encourages companies to love their customers and hug their followers. Instead, the book offers more substantial, proven tactics and tips gathered through scientific research and techniques. Lists what time of day and what day of the week the most retweets occur Explains why weekends are best for Facebook sharing, which blog posts lead to comments, why early mornings are best for emails, and how to blog to acquire links Describes how to avoid crowding your content The Science of Marketing provides the research and tools to help you make a stronger impact in the digital marketing space.
Author | : D. Forbes |
Publisher | : Springer |
Total Pages | : 256 |
Release | : 2015-07-13 |
Genre | : Performing Arts |
ISBN | : 1137502045 |
Download The Science of Why Book in PDF, ePub and Kindle
In this groundbreaking book, author David Forbes explains human motivation and provides ways that marketers can effectively reach the consumer. The book uses decades of psychology research and the author's own tool, the Forbes Matrix that identifies, organizes, and explains the nine core motivations.
Author | : Russell S Winer |
Publisher | : World Scientific |
Total Pages | : 529 |
Release | : 2014-06-27 |
Genre | : Business & Economics |
ISBN | : 9814596493 |
Download The History Of Marketing Science Book in PDF, ePub and Kindle
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.
Author | : George Schwartz |
Publisher | : |
Total Pages | : 548 |
Release | : 1965 |
Genre | : Business & Economics |
ISBN | : |
Download Science in Marketing Book in PDF, ePub and Kindle
Author | : Grahame Robert Dowling |
Publisher | : Oxford University Press, USA |
Total Pages | : 476 |
Release | : 2004 |
Genre | : Business & Economics |
ISBN | : 9780199269617 |
Download The Art and Science of Marketing Book in PDF, ePub and Kindle
The book blends the art of marketing (implementing programs to attain and retain customers) with the science of marketing (what we know from research about markets, customer behavior, etc.) to provide insight for marketing managers about how to implement marketing more effectively to both create and capture the value of the offers they make to their target customers. In the process, it questions the usefulness of some of the more recent marketing fads. Clearly written and presented the book is ideal for advanced and professional students of marketing as well as marketing professionals.
Author | : Jimmy Vee |
Publisher | : John Wiley & Sons |
Total Pages | : 287 |
Release | : 2010-12-21 |
Genre | : Business & Economics |
ISBN | : 1118045386 |
Download Gravitational Marketing Book in PDF, ePub and Kindle
If you’re an entrepreneur, business owner, or sales professional, Gravitational Marketing offers a simple method for attracting customers without the hassle of traditional manual sales labor. If you want to sell more and work less, this book exposes the principles of easily and effortlessly attracting customers without cold calling, prospecting, or begging for business. With Gravitational Marketing, you can finally stop chasing customers and let them come to you.
Author | : Tommy Blanchard |
Publisher | : Packt Publishing Ltd |
Total Pages | : 420 |
Release | : 2019-03-30 |
Genre | : Computers |
ISBN | : 1789952107 |
Download Data Science for Marketing Analytics Book in PDF, ePub and Kindle
Explore new and more sophisticated tools that reduce your marketing analytics efforts and give you precise results Key FeaturesStudy new techniques for marketing analyticsExplore uses of machine learning to power your marketing analysesWork through each stage of data analytics with the help of multiple examples and exercisesBook Description Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments. The book starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation. As you make your way through the chapters, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding chapters, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. By the end of this book, you will be able to build your own marketing reporting and interactive dashboard solutions. What you will learnAnalyze and visualize data in Python using pandas and MatplotlibStudy clustering techniques, such as hierarchical and k-means clusteringCreate customer segments based on manipulated data Predict customer lifetime value using linear regressionUse classification algorithms to understand customer choiceOptimize classification algorithms to extract maximal informationWho this book is for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary.
Author | : Karen Nelson-Field |
Publisher | : OUP Australia & New Zealand |
Total Pages | : 0 |
Release | : 2013-10-03 |
Genre | : Business & Economics |
ISBN | : 9780195527988 |
Download Viral Marketing Book in PDF, ePub and Kindle
Using original research from more than 2 years of work, 5 different data sets, around 1000 videos, 9 individual studies and a large team of researchers from the Ehrenberg-Bass Institute for Marketing Science, Viral Marketing offers solid advice on the nebulous business of video sharing. Dr Nelson-Field reports new knowledge on sharing, memory and the influence of creative devices.
Author | : Nina Krey |
Publisher | : Springer |
Total Pages | : 758 |
Release | : 2017-12-04 |
Genre | : Business & Economics |
ISBN | : 3319660233 |
Download Back to the Future: Using Marketing Basics to Provide Customer Value Book in PDF, ePub and Kindle
This proceedings volume presents timely research and insights on the advancement of marketing’s basic premise—providing greater levels of customer value. In recent years, both marketing scholars and practitioners have witnessed great advancements in technology and methodologies associated with big data, with location-based marketing centered on mobile apps and the real-time tracking of consumer behavior, and with innovations and enhancements in communications utilizing the continually growing presence of social media. Featuring the full proceedings of the 2017 Academy of Marketing Science (AMS) Annual Conference held in Coronado Island, California, this volume provides ground-breaking research from scholars and practitioners from around the world that will help marketers in providing value for companies, consumers and society. Founded in 1971, the Academy of Marketing Science is an international organization dedicated to promoting timely explorations of phenomena related to the science of marketing in theory, research, and practice. Among its services to members and the community at large, the Academy offers conferences, congresses, and symposia that attract delegates from around the world. Presentations from these events are published in this Proceedings series, which offers a comprehensive archive of volumes reflecting the evolution of the field. Volumes deliver cutting-edge research and insights, complementing the Academy’s flagship journals, the Journal of the Academy of Marketing Science (JAMS) and AMS Review. Volumes are edited by leading scholars and practitioners across a wide range of subject areas in marketing science.
Author | : Yoon Hyup Hwang |
Publisher | : Packt Publishing Ltd |
Total Pages | : 448 |
Release | : 2019-03-29 |
Genre | : Computers |
ISBN | : 178934882X |
Download Hands-On Data Science for Marketing Book in PDF, ePub and Kindle
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.