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Author: Mike Grigsby
Publisher: Kogan Page Publishers
ISBN: 0749482176
Category : Business & Economics
Languages : en
Pages : 241
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Book Description
Who is most likely to buy and what is the best way to target them? How can businesses improve strategy without identifying the key influencing factors? The second edition of Marketing Analytics enables marketers and business analysts to leverage predictive techniques to measure and improve marketing performance. By exploring real-world marketing challenges, it provides clear, jargon-free explanations on how to apply different analytical models for each purpose. From targeted list creation and data segmentation, to testing campaign effectiveness, pricing structures and forecasting demand, this book offers a welcome handbook on how statistics, consumer analytics and modelling can be put to optimal use. The fully revised second edition of Marketing Analytics includes three new chapters on big data analytics, insights and panel regression, including how to collect, separate and analyze big data. All of the advanced tools and techniques for predictive analytics have been updated, translating models such as tobit analysis for customer lifetime value into everyday use. Whether an experienced practitioner or having no prior knowledge, methodologies are simplified to ensure the more complex aspects of data and analytics are fully accessible for any level of application. Complete with downloadable data sets and test bank resources, this book supplies a concrete foundation to optimize marketing analytics for day-to-day business advantage.
Author: Mike Grigsby
Publisher: Kogan Page Publishers
ISBN: 0749482176
Category : Business & Economics
Languages : en
Pages : 241
Get Book Here
Book Description
Who is most likely to buy and what is the best way to target them? How can businesses improve strategy without identifying the key influencing factors? The second edition of Marketing Analytics enables marketers and business analysts to leverage predictive techniques to measure and improve marketing performance. By exploring real-world marketing challenges, it provides clear, jargon-free explanations on how to apply different analytical models for each purpose. From targeted list creation and data segmentation, to testing campaign effectiveness, pricing structures and forecasting demand, this book offers a welcome handbook on how statistics, consumer analytics and modelling can be put to optimal use. The fully revised second edition of Marketing Analytics includes three new chapters on big data analytics, insights and panel regression, including how to collect, separate and analyze big data. All of the advanced tools and techniques for predictive analytics have been updated, translating models such as tobit analysis for customer lifetime value into everyday use. Whether an experienced practitioner or having no prior knowledge, methodologies are simplified to ensure the more complex aspects of data and analytics are fully accessible for any level of application. Complete with downloadable data sets and test bank resources, this book supplies a concrete foundation to optimize marketing analytics for day-to-day business advantage.
Author: Gary L. Lilien
Publisher: DecisionPro
ISBN: 0985764805
Category : Business & Economics
Languages : en
Pages : 287
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Book Description
The 21st century business environment demands more analysis and rigor in marketing decision making. Increasingly, marketing decision making resembles design engineering-putting together concepts, data, analyses, and simulations to learn about the marketplace and to design effective marketing plans. While many view traditional marketing as art and some view it as science, the new marketing increasingly looks like engineering (that is, combining art and science to solve specific problems). Marketing Engineering is the systematic approach to harness data and knowledge to drive effective marketing decision making and implementation through a technology-enabled and model-supported decision process. (For more information on Excel-based models that support these concepts, visit DecisionPro.biz.) We have designed this book primarily for the business school student or marketing manager, who, with minimal background and technical training, must understand and employ the basic tools and models associated with Marketing Engineering. We offer an accessible overview of the most widely used marketing engineering concepts and tools and show how they drive the collection of the right data and information to perform the right analyses to make better marketing plans, better product designs, and better marketing decisions. What's New In the 2nd Edition While much has changed in the nearly five years since the first edition of Principles of Marketing Engineering was published, much has remained the same. Hence, we have not changed the basic structure or contents of the book. We have, however Updated the examples and references. Added new content on customer lifetime value and customer valuation methods. Added several new pricing models. Added new material on "reverse perceptual mapping" to describe some exciting enhancements to our Marketing Engineering for Excel software. Provided some new perspectives on the future of Marketing Engineering. Provided better alignment between the content of the text and both the software and cases available with Marketing Engineering for Excel 2.0.
Author: Prof. Dr. R. Gopal, Prof. Dr. Gagandeep Kaur Nagra, Dr. Priya Vij
Publisher: Notion Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 312
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Book Description
Introduction to Marketing Analytics delves into the foundational elements of marketing, known as the 4Ps—Product, Price, Place, and Promotion—and expands upon them to include additional key components crucial for services marketing, such as People, Process, and Physical Evidence. These elements are vital for companies to develop coherent marketing strategies that not only attract new customers but also build long-term loyalty among existing ones. The rise of digital technologies has significantly transformed how companies engage with consumers and conduct market research. Big data analytics now allows for personalized marketing efforts, creating campaigns offering organizations the ability to better understand and respond to customer journeys. Moreover, the book highlights the growing role of artificial intelligence (AI) and machine learning in modern marketing strategies. By integrating these advanced technologies, businesses can better meet their customers’ evolving needs, outpacing the competition. It covers various analysis techniques, such as marketing mix modelling, that help organizations understand the impact of different marketing activities on sales and other key performance indicators (KPIs). Through real-life examples and case studies, this book highlights a practical guide for professionals looking to apply data-driven marketing strategies to drive growth, innovation, and sustainable success in a constantly changing market landscape.
Author: Cybellium
Publisher: Cybellium
ISBN: 1836791453
Category : Business & Economics
Languages : en
Pages : 224
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Book Description
Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Author: Joseph F. Hair (Jr.)
Publisher:
ISBN: 9781266876776
Category : Marketing
Languages : en
Pages : 0
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Book Description
"Preface We developed this new book with enthusiasm and great optimism. Marketing analytics is an exciting field to study, and there are numerous emerging opportunities for students at the undergraduate level, and particularly at the masterís level. We live in a global, highly competitive, rapidly changing world that is increasingly influenced by digital data, expanded analytical capabilities, information technology, social media, artificial intelligence, and many other recent developments. We believe this book will become the premier source for new and essential knowledge in data analytics, particularly for situations related to decision making that can benefit from marketing analytics, which is likely 80 percent of all challenges faced by organizations. Many of you have been asking us to write this book, and we are confident you will be pleased it is now available. This second edition of Essentials of Marketing Analytics was written to meet the needs of you, our customers. The text is concise, highly readable, and value-priced, yet it delivers the basic knowledge needed for an introductory text on marketing analytics. We provide you and your students with an exciting, up-to-date text and an extensive sup-plement package. In the following sections, we summarize what you will find when you examineóand we hope, adoptóthe second edition of Essentials of Marketing Analytics"--
Author: Robert W. Palmatier
Publisher: Bloomsbury Publishing
ISBN: 1352013207
Category : Business & Economics
Languages : en
Pages : 433
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Book Description
All customers differ. All customers change. All competitors react. All resources are limited. Robert W. Palmatier's dynamic First Principles of Marketing framework provides the structure for this research-based, action-orientated guide to organizing analytics tools, marketing models and methodologies. When should you use a specific technique in data analytics? How does each new analytics technique improve performance? Which techniques are worth time and investment to implement? As organizations prioritize digital growth to better connect with customers, it is vital that you are able to respond confidently to these questions, enabling you to utilize marketing analytics to better understand your business and increase revenue. Marketing Analytics will help you to: · Learn how to contextualize models and statistical analysis within the foundational principles of marketing through the use of a problem-centric framework. · Understand technical analyses by engaging with a pertinent range of vivid examples, and a running case study to contextualize practical, jargon-free descriptions. · Embark on an applied learning pathway with a comprehensive companion website including datasets and walk-through videos on challenging tasks: bloomsbury.pub/marketing-analytics. · Take a software-agnostic approach to learning, enhanced by the provision of examples in free, open-source R and Tableau software. Authored by world-leading experts in marketing strategy, Marketing Analytics is the ideal textbook for advanced undergraduate, postgraduate and MBA students of marketing, and practitioners seeking to direct effective strategy from an analysis-based evidential approach.
Author: Chris Chapman
Publisher: Springer
ISBN: 9783319144351
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
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.
Author: Natalie Mizik
Publisher: Edward Elgar Publishing
ISBN: 1784716758
Category : Business & Economics
Languages : en
Pages : 713
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Book Description
Marketing Science contributes significantly to the development and validation of analytical tools with a wide range of applications in business, public policy and litigation support. The Handbook of Marketing Analytics showcases the analytical methods used in marketing and their high-impact real-life applications. Fourteen chapters provide an overview of specific marketing analytic methods in some technical detail and 22 case studies present thorough examples of the use of each method in marketing management, public policy, and litigation support. All contributing authors are recognized authorities in their area of specialty.
Author: Ashok Charan
Publisher: World Scientific Publishing Company
ISBN: 9814641383
Category : Business & Economics
Languages : en
Pages : 720
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Book Description
The digital age has transformed the very nature of marketing. Armed with smartphones, tablets, PCs and smart TVs, consumers are increasingly hanging out on the internet. Cyberspace has changed the way they communicate, and the way they shop and buy. This fluid, de-centralized and multidirectional medium is changing the way brands engage with consumers.At the same time, technology and innovation, coupled with the explosion of business data, has fundamentally altered the manner we collect, process, analyse and disseminate market intelligence. The increased volume, variety and velocity of information enables marketers to respond with much greater speed, to changes in the marketplace. Market intelligence is timelier, less expensive, and more accurate and actionable.Anchored in this age of transformations, Marketing Analytics is a practitioner's guide to marketing management in the 21st century. The text devotes considerable attention to the way market analytic techniques and market research processes are being refined and re-engineered. Written by a marketing veteran, it is intended to guide marketers as they craft market strategies, and execute their day to day tasks.
Author: Stephan Sorger
Publisher: Createspace Independent Publishing Platform
ISBN: 9781481900300
Category : Marketing
Languages : en
Pages : 0
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Book Description
Offers marketing students and professionals a practical guide to strategic decision models and marketing metrics. The tools described in the book will aid marketers in making intelligent decisions to drive revenue and results in their organizations.
