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Author: Dan Zarrella Publisher: Wiley ISBN: 9781118138274 Category : Business & Economics Languages : en Pages : 208
Book Description
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: Dan Zarrella Publisher: Wiley ISBN: 9781118138274 Category : Business & Economics Languages : en Pages : 208
Book Description
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: Grahame Robert Dowling Publisher: Oxford University Press, USA ISBN: 9780199269617 Category : Business & Economics Languages : en Pages : 476
Book Description
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: Russell S Winer Publisher: World Scientific ISBN: 9814596493 Category : Business & Economics Languages : en Pages : 529
Book Description
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: D. Forbes Publisher: Springer ISBN: 1137502045 Category : Performing Arts Languages : en Pages : 256
Book Description
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: Jimmy Vee Publisher: John Wiley & Sons ISBN: 1118045386 Category : Business & Economics Languages : en Pages : 287
Book Description
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 ISBN: 1789952107 Category : Computers Languages : en Pages : 420
Book Description
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: David Hoffeld Publisher: Penguin ISBN: 0143129333 Category : Business & Economics Languages : en Pages : 289
Book Description
The Revolutionary Sales Approach Scientifically Proven to Dramatically Improve Your Sales and Business Success Blending cutting-edge research in social psychology, neuroscience, and behavioral economics, The Science of Selling shows you how to align the way you sell with how our brains naturally form buying decisions, dramatically increasing your ability to earn more sales. Unlike other sales books, which primarily rely on anecdotal evidence and unproven advice, Hoffeld’s evidence-based approach connects the dots between science and situations salespeople and business leaders face every day to help you consistently succeed, including proven ways to: - Engage buyers’ emotions to increase their receptiveness to you and your ideas - Ask questions that line up with how the brain discloses information - Lock in the incremental commitments that lead to a sale - Create positive influence and reduce the sway of competitors - Discover the underlying causes of objections and neutralize them - Guide buyers through the necessary mental steps to make purchasing decisions Packed with advice and anecdotes, The Science of Selling is an essential resource for anyone looking to succeed in today's cutthroat selling environment, advance their business goals, or boost their ability to influence others. **Named one of The 20 Most Highly-Rated Sales Books of All Time by HubSpot
Author: Karen Nelson-Field Publisher: OUP Australia & New Zealand ISBN: 9780195527988 Category : Business & Economics Languages : en Pages : 0
Book Description
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: Mirza Rahim Baig Publisher: Packt Publishing Ltd ISBN: 1800563884 Category : Computers Languages : en Pages : 637
Book Description
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.
Author: Dan Zarrella
Author: Dan Zarrella
Author: Grahame Robert Dowling
Author: Russell S Winer
Author: George Schwartz
Author: D. Forbes
Author: Jimmy Vee
Author: Tommy Blanchard
Author: David Hoffeld
Author: Karen Nelson-Field
Author: Mirza Rahim Baig