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| digital marketing and analytics: Digital Analytics for Marketing A. Karim Feroz, Gohar F. Khan, Marshall Sponder, 2024-01-25 This second edition of Digital Analytics for Marketing provides students with a comprehensive overview of the tools needed to measure digital activity and implement best practices when using data to inform marketing strategy. It is the first text of its kind to introduce students to analytics platforms from a practical marketing perspective. Demonstrating how to integrate large amounts of data from web, digital, social, and search platforms, this helpful guide offers actionable insights into data analysis, explaining how to connect the dots and humanize information to make effective marketing decisions. The authors cover timely topics, such as social media, web analytics, marketing analytics challenges, and dashboards, helping students to make sense of business measurement challenges, extract insights, and take effective actions. The book’s experiential approach, combined with chapter objectives, summaries, and review questions, will engage readers, deepening their learning by helping them to think outside the box. Filled with engaging, interactive exercises and interesting insights from industry experts, this book will appeal to undergraduate and postgraduate students of digital marketing, online marketing, and analytics. Online support materials for this book include an instructor’s manual, test bank, and PowerPoint slides. |
| digital marketing and analytics: Digital Marketing Analytics Kevin Hartman, 2020-09-15 From Kevin Hartman, Director of Analytics at Google, comes an essential guide for anyone seeking to collect, analyze, and visualize data in today's digital world (printed in brilliant full color). Even if you know nothing about digital marketing analytics, digital marketing analytics knows plenty about you. It's a fundamental, inescapable, and permanent cornerstone of modern business that affects the lives of analytics professionals and consumers in equal measure. This five-part book is an attempt to provide the context, perspective, and information needed to make analytics accessible to people who understand its reach and relevance and want to learn more. PART 1: The Day the Geeks Took Over The ubiquity of data analytics today isn't just a product of the past half-century's transformative and revolutionary changes in commerce and technology. Humanity has been developing, analyzing, and using data for millennia. Understanding where digital marketing analytics is now and where it will be in five, 10, or 50 years requires a holistic and historical view of our relationship and interaction with data. Part 1 looks at modern analysts and analytics in the context of its distinct historical epochs, each one containing major inflection points and laying a foundation for future advancements in the ART + SCIENCE that is modern data analytics. PART 2: Consumer/Brand Relationships The methods that brands use to build relationships with consumers - online video, search, display ads, and social media - give analysts a wealth of data about behaviors on these platforms. Knowing how to assess successful consumer/brand relationships and understanding a consumer's purchase journey requires a useable framework for parsing this data. In Part 2, we explore each digital channel in-depth, including a discussion of key metrics and measurements, how consumers interact with brands on each platform, and ways of organizing consumer data that enable actionable insights. PART 3: The Science of Analytics Part 3 focuses on understanding digital data creation, how brands use that data to measure digital marketing effectiveness, and the tools and skill sets analysts need to work effectively with data. While the contents are lightly technical, this section veers into the colloquial as we dive into multitouch attribution models, media mix models, incrementality studies, and other ways analysts conduct marketing measurement today. Part 3 also provides a useful framework for evaluating data analysis and visualization tools and explains the critical importance of digital marketing maturity to analysts and the companies for which they work. PART 4: The Art of Analytics Every analyst dreams of coming up with the Big Idea - the game-changing and previously unseen insight or approach that gives their organization a competitive advantage and their career a huge boost. But dreaming won't get you there. It requires a thoughtful and disciplined approach to analysis projects. In this part of the book, I detail the four elements of the Marketing Analytics Process (MAP): plan, collect, analyze, report. Part 4 also explains the role of the analyst, the six mutually exclusive and collectively exhaustive (MECE) marketing objectives, how to find context and patterns in collected data, and how to avoid the pitfalls of bias. PART 5: Storytelling with Data In Part 5, we dive headlong into the most important aspect of digital marketing analytics: transforming the data the analyst compiled into a comprehensive, coherent, and meaningful report. I outline the key characteristics of good visuals and the minutiae of chart design and provide a five-step process for analysts to follow when they're on their feet and presenting to an audience. |
| digital marketing and analytics: Digital Marketing Analytics Chuck Hemann, Ken Burbary, 2018-04-23 Distill Maximum Value from Your Digital Data! Do It Now! Why hasn’t all that data delivered a whopping competitive advantage? Because you’ve barely begun to use it, that’s why! Good news: neither have your competitors. It’s hard! But digital marketing analytics is 100% doable, it offers colossal opportunities, and all of the data is accessible to you. Chuck Hemann and Ken Burbary will help you chop the problem down to size, solve every piece of the puzzle, and integrate a virtually frictionless system for moving from data to decision, action to results! Scope it out, pick your tools, learn to listen, get the metrics right, and then distill your digital data for maximum value for everything from R&D to customer service to social media marketing! Prioritize—because you can’t measure and analyze everything Use analysis to craft experiences that profoundly reflect each customer’s needs, expectations, and behaviors Measure real digital media ROI: sales, leads, and customer satisfaction Track the performance of all paid, earned, and owned digital channels Leverage digital data way beyond PR and marketing: for strategic planning, product development, and HR Start optimizing digital content in real time Implement advanced tools, processes, and algorithms for accurately measuring influence Make the most of surveys, focus groups, and offline research synergies Focus new marketing investments where they’ll deliver the most value • Identify and understand your most important audiences across the digital ecosystem “Chuck and Ken lead marketers clearly and efficiently through the minefield of digital marketing measurement. And they do so with a lightness of touch and absence of jargon so rare in this overhyped, much-misunderstood ecosystem.” — Sam Knowles, Founder & MD of Insight Agents; author of Narrative by Numbers: How to Tell Powerful & Purposeful Stories with Data |
| digital marketing and analytics: Digital Marketing Analytics Kevin Hartman, 2020-09-15 From Kevin Hartman, Director of Analytics at Google, comes an essential guide for anyone seeking to collect, analyze, and visualize data in today's digital world (printed in black & white to keep print costs down). Even if you know nothing about digital marketing analytics, digital marketing analytics knows plenty about you. It's a fundamental, inescapable, and permanent cornerstone of modern business that affects the lives of analytics professionals and consumers in equal measure. This five-part book is an attempt to provide the context, perspective, and information needed to make analytics accessible to people who understand its reach and relevance and want to learn more. PART 1: The Day the Geeks Took Over The ubiquity of data analytics today isn't just a product of the past half-century's transformative and revolutionary changes in commerce and technology. Humanity has been developing, analyzing, and using data for millennia. Understanding where digital marketing analytics is now and where it will be in five, 10, or 50 years requires a holistic and historical view of our relationship and interaction with data. Part 1 looks at modern analysts and analytics in the context of its distinct historical epochs, each one containing major inflection points and laying a foundation for future advancements in the ART + SCIENCE that is modern data analytics. PART 2: Consumer/Brand Relationships The methods that brands use to build relationships with consumers - online video, search, display ads, and social media - give analysts a wealth of data about behaviors on these platforms. Knowing how to assess successful consumer/brand relationships and understanding a consumer's purchase journey requires a useable framework for parsing this data. In Part 2, we explore each digital channel in-depth, including a discussion of key metrics and measurements, how consumers interact with brands on each platform, and ways of organizing consumer data that enable actionable insights. PART 3: The Science of Analytics Part 3 focuses on understanding digital data creation, how brands use that data to measure digital marketing effectiveness, and the tools and skill sets analysts need to work effectively with data. While the contents are lightly technical, this section veers into the colloquial as we dive into multitouch attribution models, media mix models, incrementality studies, and other ways analysts conduct marketing measurement today. Part 3 also provides a useful framework for evaluating data analysis and visualization tools and explains the critical importance of digital marketing maturity to analysts and the companies for which they work. PART 4: The Art of Analytics Every analyst dreams of coming up with the Big Idea - the game-changing and previously unseen insight or approach that gives their organization a competitive advantage and their career a huge boost. But dreaming won't get you there. It requires a thoughtful and disciplined approach to analysis projects. In this part of the book, I detail the four elements of the Marketing Analytics Process (MAP): plan, collect, analyze, report. Part 4 also explains the role of the analyst, the six mutually exclusive and collectively exhaustive (MECE) marketing objectives, how to find context and patterns in collected data, and how to avoid the pitfalls of bias. PART 5: Storytelling with Data In Part 5, we dive headlong into the most important aspect of digital marketing analytics: transforming the data the analyst compiled into a comprehensive, coherent, and meaningful report. I outline the key characteristics of good visuals and the minutiae of chart design and provide a five-step process for analysts to follow when they're on their feet and presenting to an audience. |
| digital marketing and analytics: Advanced Digital Marketing Strategies in a Data-Driven Era Saura, Jose Ramon, 2021-06-25 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. |
| digital marketing and analytics: Marketing Analytics Rajkumar Venkatesan, Paul W. Farris, Ronald T. Wilcox, 2021-01-13 The authors of the pioneering Cutting-Edge Marketing Analytics return to the vital conversation of leveraging big data with Marketing Analytics: Essential Tools for Data-Driven Decisions, which updates and expands on the earlier book as we enter the 2020s. As they illustrate, big data analytics is the engine that drives marketing, providing a forward-looking, predictive perspective for marketing decision-making. The book presents actual cases and data, giving readers invaluable real-world instruction. The cases show how to identify relevant data, choose the best analytics technique, and investigate the link between marketing plans and customer behavior. These actual scenarios shed light on the most pressing marketing questions, such as setting the optimal price for one’s product or designing effective digital marketing campaigns. Big data is currently the most powerful resource to the marketing professional, and this book illustrates how to fully harness that power to effectively maximize marketing efforts. |
| digital marketing and analytics: Digital Analytics for Marketing Gohar F. Khan, Marshall Sponder, 2017-10-05 This comprehensive book provides students with a grand tour of the tools needed to measure digital activity and implement best practices for using data to inform marketing strategy. It is the first text of its kind to introduce students to analytics platforms from a practical marketing perspective. Demonstrating how to integrate large amounts of data from web, digital, social, and search platforms, this helpful guide offers actionable insights into data analysis, explaining how to connect the dots and humanize information to make effective marketing decisions. The author covers timely topics, such as social media, web analytics, marketing analytics challenges, and dashboards, helping students to make sense of business measurement challenges, extract insights, and take effective actions. The book’s experiential approach, combined with chapter objectives, summaries, and review questions, will engage readers, deepening learning by helping them to think outside the box. Filled with engaging, interactive exercises, and interesting insights from an industry expert, this book will appeal to students of digital marketing, online marketing, and analytics. A companion website features an instructor’s manual, test bank, and PowerPoint slides. |
| digital marketing and analytics: Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing Singh, Amandeep, 2021-06-18 The availability of big data, low-cost commodity hardware, and new information management and analytic software have produced a unique moment in the history of data analysis. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue, and profitability especially in digital marketing. Data plays a huge role in understanding valuable insights about target demographics and customer preferences. From every interaction with technology, regardless of whether it is active or passive, we are creating new data that can describe us. If analyzed correctly, these data points can explain a lot about our behavior, personalities, and life events. Companies can leverage these insights for product improvements, business strategy, and marketing campaigns to cater to the target customers. Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing aids understanding of big data in terms of digital marketing for meaningful analysis of information that can improve marketing efforts and strategies using the latest digital techniques. The chapters cover a wide array of essential marketing topics and techniques, including search engine marketing, consumer behavior, social media marketing, online advertising, and how they interact with big data. This book is essential for professionals and researchers working in the field of analytics, data, and digital marketing, along with marketers, advertisers, brand managers, social media specialists, managers, sales professionals, practitioners, researchers, academicians, and students looking for the latest information on how big data is being used in digital marketing strategies. |
| digital marketing and analytics: Techno-Social Systems for Modern Economical and Governmental Infrastructures Alexander Troussov, Sergey Maruev, 2018-12-14 This book covers theoretical and practical aspects of mining techno-social systems which have potential for the creation of scalable methods and applications for business, governance and economics. It also gives an overview of state of the art methods in mining big data-- |
| digital marketing and analytics: Marketing Analytics Wayne L. Winston, 2014-01-08 Helping tech-savvy marketers and data analysts solve real-world business problems with Excel Using data-driven business analytics to understand customers and improve results is a great idea in theory, but in today's busy offices, marketers and analysts need simple, low-cost ways to process and make the most of all that data. This expert book offers the perfect solution. Written by data analysis expert Wayne L. Winston, this practical resource shows you how to tap a simple and cost-effective tool, Microsoft Excel, to solve specific business problems using powerful analytic techniques—and achieve optimum results. Practical exercises in each chapter help you apply and reinforce techniques as you learn. Shows you how to perform sophisticated business analyses using the cost-effective and widely available Microsoft Excel instead of expensive, proprietary analytical tools Reveals how to target and retain profitable customers and avoid high-risk customers Helps you forecast sales and improve response rates for marketing campaigns Explores how to optimize price points for products and services, optimize store layouts, and improve online advertising Covers social media, viral marketing, and how to exploit both effectively Improve your marketing results with Microsoft Excel and the invaluable techniques and ideas in Marketing Analytics: Data-Driven Techniques with Microsoft Excel. |
| digital marketing and analytics: Data-Driven Marketing Mark Jeffery, 2010-02-08 NAMED BEST MARKETING BOOK OF 2011 BY THE AMERICAN MARKETING ASSOCIATION How organizations can deliver significant performance gains through strategic investment in marketing In the new era of tight marketing budgets, no organization can continue to spend on marketing without knowing what's working and what's wasted. Data-driven marketing improves efficiency and effectiveness of marketing expenditures across the spectrum of marketing activities from branding and awareness, trail and loyalty, to new product launch and Internet marketing. Based on new research from the Kellogg School of Management, this book is a clear and convincing guide to using a more rigorous, data-driven strategic approach to deliver significant performance gains from your marketing. Explains how to use data-driven marketing to deliver return on marketing investment (ROMI) in any organization In-depth discussion of the fifteen key metrics every marketer should know Based on original research from America's leading marketing business school, complemented by experience teaching ROMI to executives at Microsoft, DuPont, Nisan, Philips, Sony and many other firms Uses data from a rigorous survey on strategic marketing performance management of 252 Fortune 1000 firms, capturing $53 billion of annual marketing spending In-depth examples of how to apply the principles in small and large organizations Free downloadable ROMI templates for all examples given in the book With every department under the microscope looking for results, those who properly use data to optimize their marketing are going to come out on top every time. |
| digital marketing and analytics: Contemporary Issues in Digital Marketing Outi Niininen, 2021-11-29 This book presents a comprehensive overview of the key topics, best practices, future opportunities and challenges in the Digital Marketing discourse. With contributions from world-renowned experts, the book covers: Big Data, Artificial Intelligence and Analytics in Digital Marketing Emerging technologies and how they can enhance User Experience How ‘digital’ is changing servicescapes Issues surrounding ethics and privacy Current and future issues surrounding Social Media Key considerations for the future of Digital Marketing Case studies and examples from real-life organisations Unique in its rigorous, research-driven and accessible approach to the subject of Digital Marketing, this text is valuable supplementary reading for advanced undergraduate and postgraduate students studying Digital and Social Media Marketing, Customer Experience Management, Digital Analytics and Digital Transformation. |
| digital marketing and analytics: Marketing Strategy Robert W. Palmatier, Shrihari Sridhar, 2020-12-31 Marketing Strategy offers a unique and dynamic approach based on four underlying principles that underpin marketing today: All customers differ; All customers change; All competitors react; and All resources are limited. The structured framework of this acclaimed textbook allows marketers to develop effective and flexible strategies to deal with diverse marketing problems under varying circumstances. Uniquely integrating marketing analytics and data driven techniques with fundamental strategic pillars the book exemplifies a contemporary, evidence-based approach. This base toolkit will support students' decision-making processes and equip them for a world driven by big data. The second edition builds on the first's successful core foundation, with additional pedagogy and key updates. Research-based, action-oriented, and authored by world-leading experts, Marketing Strategy is the ideal resource for advanced undergraduate, MBA, and EMBA students of marketing, and executives looking to bring a more systematic approach to corporate marketing strategies. New to this Edition: - Revised and updated throughout to reflect new research and industry developments, including expanded coverage of digital marketing, influencer marketing and social media strategies - Enhanced pedagogy including new Worked Examples of Data Analytics Techniques and unsolved Analytics Driven Case Exercises, to offer students hands-on practice of data manipulation as well as classroom activities to stimulate peer-to-peer discussion - Expanded range of examples to cover over 250 diverse companies from 25 countries and most industry segments - Vibrant visual presentation with a new full colour design |
| digital marketing and analytics: Performance Marketing with Google Analytics Sebastian Tonkin, Caleb Whitmore, Justin Cutroni, 2011-01-21 An unparalleled author trio shares valuable advice for using Google Analytics to achieve your business goals Google Analytics is a free tool used by millions of Web site owners across the globe to track how visitors interact with their Web sites, where they arrive from, and which visitors drive the most revenue and sales leads. This book offers clear explanations of practical applications drawn from the real world. The author trio of Google Analytics veterans starts with a broad explanation of performance marketing and gets progressively more specific, closing with step-by-step analysis and applications. Features in-depth examples and case studies on how to increase revenue from search advertising, optimize an existing website, prioritize channels and campaigns, access brand health and more Discusses how to communicate with a webmaster or developer to assist with installation Addresses Google's conversion-oriented tools, including AdWords and AdSense, Google trends, Webmaster tools, search-based keyword tools, and more Touches on brand tracking studies, usability research, competitive analysis, and statistical tools Throughout the book, the main emphasis is demonstrating how you can best use Google Analytics to achieve your business objectives. Foreword by Avinash Kaushik Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file. |
| digital marketing and analytics: Marketing Analytics Mike Grigsby, 2015-06-03 Who is most likely to buy and what is the best way to target them? Marketing Analytics enables marketers and business analysts to answer these questions by leveraging proven methodologies to measure and improve upon the effectiveness of marketing programs. Marketing Analytics demonstrates how statistics, analytics and modeling can be put to optimal use to increase the effectiveness of every day marketing activities, from targeted list creation and data segmentation to testing campaign effectiveness and forecasting demand. The author explores many common marketing challenges and demonstrates how to apply different data models to arrive at viable solutions. Business cases and critical analysis are included to illustrate and reinforce key concepts throughout. Beginners will benefit from clear, jargon-free explanations of methodologies relating to statistics, marketing strategy and consumer behaviour. More experienced practitioners will appreciate the more complex aspects of data analytics and data modeling, discovering new applications of various techniques in every day practice. Readers of Marketing Analytics will come away with a firm foundation in markets analytics and the tools they need to gain competitive edge and increase market share. Online supporting resources for this book include a bank of test questions as well as data sets relating to many of the chapters. |
| digital marketing and analytics: Data Science for Marketing Analytics Mirza Rahim Baig, Gururajan Govindan, Vishwesh Ravi Shrimali, 2021-09-07 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. |
| digital marketing and analytics: Cutting Edge Marketing Analytics Rajkumar Venkatesan, Paul Farris, Ronald T. Wilcox, 2014-06-10 Master practical strategic marketing analysis through real-life case studies and hands-on examples. In Cutting Edge Marketing Analytics, three pioneering experts integrate all three core areas of marketing analytics: statistical analysis, experiments, and managerial intuition. They fully detail a best-practice marketing analytics methodology, augmenting it with case studies that illustrate the quantitative and data analysis tools you'll need to allocate resources, define optimal marketing mixes; perform effective analysis of customers and digital marketing campaigns, and create high-value dashboards and metrics. For each marketing problem, the authors help you: Identify the right data and analytics techniques Conduct the analysis and obtain insights from it Outline what-if scenarios and define optimal solutions Connect your insights to strategic decision-making Each chapter contains technical notes, statistical knowledge, case studies, and real data you can use to perform the analysis yourself. As you proceed, you'll gain an in-depth understanding of: The real value of marketing analytics How to integrate quantitative analysis with managerial sensibility How to apply linear regression, logistic regression, cluster analysis, and Anova models The crucial role of careful experimental design For all marketing professionals specializing in marketing analytics and/or business intelligence; and for students and faculty in all graduate-level business courses covering Marketing Analytics, Marketing Effectiveness, or Marketing Metrics |
| digital marketing and analytics: Marketing Analytics Mike Grigsby, 2018-04-03 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. |
| digital marketing and analytics: Big Data Analytics Kiran Chaudhary, Mansaf Alam, 2022-11-02 Big Data Analytics: Digital Marketing and Decision-Making covers the advances related to marketing and business analytics. Investment marketing analytics can create value through proper allocation of resources and resource orchestration processes. The use of data analytics tools can be used to improve and speed decision-making processes. Chapters examining analytics for decision-making cover such topics as: Big data analytics for gathering business intelligence Data analytics and consumer behavior The role of big data analytics in organizational decision-making This book also looks at digital marketing and focuses on such areas as: The prediction of marketing by consumer analytics Web analytics for digital marketing Smart retailing Leveraging web analytics for optimizing digital marketing strategies Big Data Analytics: Digital Marketing and Decision-Making aims to help organizations increase their profits by making better decisions on time through the use of data analytics. It is written for students, practitioners, industry professionals, researchers, and faculty working in the field of commerce and marketing, big data analytics, and organizational decision-making. |
| digital marketing and analytics: Principles of Marketing Engineering, 2nd Edition Gary L. Lilien, Arvind Rangaswamy, Arnaud De Bruyn, 2013 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. |
| digital marketing and analytics: Digital Marketing Dave Chaffey, Fiona Ellis-Chadwick, 2012-10-12 Now in its fifth edition, Digital Marketing (previously Internet Marketing) provides comprehensive, practical guidance on how companies can get the most out of digital media to meet their marketing goals. Digital Marketing links marketing theory with practical business experience through case studies and interviews from cutting edge companies such as eBay and Facebook, to help students understand digital marketing in the real world. |
| digital marketing and analytics: Marketing Analysis in Sport Business Kevin K Byon, Brian H Yim, James J. Zhang, 2022-07-15 This book explores sport marketing analytics, an essential and crucially important aspect of contemporary sport business. Successful sport marketing begins and ends with the consumer, so understanding the consumer experience is critical. Marketing Analysis in Sport Business demonstrates how rigorous analytical procedures are the key to developing effective, evidence-based marketing practices that reflect real consumer needs. Presenting cutting-edge case studies of sport marketing analytics in action, the book explores topics such as digital communications, social media, digital ticketing, event marketing, the economic impact of COVID-19, developing sport brands, and conducting research with athletes and event participants. Written by a team of authors from 15 countries, including Australia, China, France, Iran, Italy, Japan, Mexico, New Zealand, Serbia, South Korea, Spain, Taiwan, the United Kingdom, the United States, and Venezuela, the book offers insight from a variety of cultural contexts and new perspectives on the global sport industry. Marketing Analysis in Sport Business is illuminating reading for any advanced student, researcher or professional working in sport business and management, sport development, marketing, strategic management, or international business. |
| digital marketing and analytics: Digital Analytics 101 April E. Wilson, 2016-12-13 If you have a passion for marketing and analytics are are looking for practical experiences to help you learn the science behind success, Digital Analytics 101 is the book for you. It's perfect for recent graduates and recognized marketers alike and provides you with information on topics such as: marketing methodology, brand monitoring, SEM and SEO, content marketing, social media marketing and measurement, how to use surveys and research, and much more. This book has a strong emphasis on marketing analytics, plus a range of exercises, handouts, screenshots, and case studies. Once upon a time, Digital Analytics 101 was an educational agency designed to teach marketers and small to medium business owners how to measure the performance of their digital marketing. We offered live classes (usually hosted through local businesses like churches), online classes, presentations in a variety of industries (construction, digital analytics, thought leadership, church leadership, and local college and university guest lectures). We blogged and published articles for print magazines and websites like Yahoo! Small Business, Web Analytics World, and American Express OPEN. It started as a side project; a way for our experts to share what they knew with the larger community, a community that at the time was very hungry for knowledge. The business closed in 2015, but it seemed like a shame not to write a book for anyone to use. FAIR WARNING: because the internet changes faster than a teenager picking out clothes for a first date, some of the screenshots of interfaces are probably outdated. The strategy behind the course is still intact, but the way you access that information may have changed. |
| digital marketing and analytics: Marketing Analytics José Marcos Carvalho de Mesquita, Erik Kostelijk, 2021-11-02 Marketing Analytics provides guidelines in the application of statistics using IBM SPSS Statistics Software (SPSS) for students and professionals using quantitative methods in marketing and consumer behavior. With simple language and a practical, screenshot-led approach, the book presents 11 multivariate techniques and the steps required to perform analysis. Each chapter contains a brief description of the technique, followed by the possible marketing research applications. One of these applications is then used in detail to illustrate its applicability in a research context, including the needed SPSS commands and illustrations. Each chapter also includes practical exercises that require the readers to perform the technique and interpret the results, equipping students with the necessary skills to apply statistics by means of SPSS in marketing and consumer research. Finally, there is a list of articles employing the technique, which can be used for further reading. This textbook provides introductory material for advanced undergraduate and postgraduate students studying marketing and consumer analytics, teaching methods along with practical software-applied training using SPSS. Support material includes two real data sets to illustrate the techniques' applications and PowerPoint slides providing a step-by-step guide to the analysis and commented outcomes. Professionals are invited to use the book to select and use the appropriate analytics for their specific context. |
| digital marketing and analytics: Digital Marketing All-in-One For Dummies Stephanie Diamond, 2019-04-08 Unlock the value in online marketing A well-executed digital marketing plan is a proven component of success in business, and Digital Marketing All-In-One For Dummies covers everything you need to build and implement a winning plan. Whether you’re a novice in the online space or an expert marketer looking to improve your digital ROI, this book has easy-to-absorb tips and insights that will turn online prospects into loyal customers. This book compresses the essential information on 8 topics, so you have all the information you need and none of what you don’t. You’ll learn social media marketing, marketing to millennials, account-based marketing, influencer marketing, content marketing strategies, and more! Use targeted, measurable marketing strategies to promote brands and products Increase brand awareness, customer acquisitions, and audience engagement Measure what your online traffic is worth and improve ROI on digital marketing Develop a solid digital marketing plan and put it to work for your brand From SEO and SEM to brand awareness and why you need it, Digital Marketing All-In-One For Dummies will help you level up your digital marketing game and avoid the common mistakes that might be holding your business back. |
| digital marketing and analytics: Pragmalytics Cesar A. Brea, 2012-10 This book provides practical approaches to market research and market data analysis including data integration, heuristics, data management, pragmalytics and market performance. |
| digital marketing and analytics: Web Analytics Avinash Kaushik, 2007-07-30 Written by an in-the-trenches practitioner, this step-by-step guide shows you how to implement a successful Web analytics strategy. Web analytics expert Avinash Kaushik, in his thought-provoking style, debunks leading myths and leads you on a path to gaining actionable insights from your analytics efforts. Discover how to move beyond clickstream analysis, why qualitative data should be your focus, and more insights and techniques that will help you develop a customer-centric mindset without sacrificing your company’s bottom line. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file. |
| digital marketing and analytics: Essentials of Marketing Analytics Joseph F. Hair (Jr.), Dana E. Harrison, Haya Ajjan, 2024 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-- |
| digital marketing and analytics: Cult of Analytics Steve Jackson, 2015-12-22 Cult of Analytics enables professionals to build an analytics driven culture into their business or organization. Marketers will learn how to turn tried and tested tactics into an actionable plan to change their culture to one that uses web analytics on a day to day basis. Through use of the fictitious ACME PLC case, Steve Jackson provides working examples based on real life situations from the various companies he has worked with, such as Nokia, KONE, Rovio, Amazon, Expert, IKEA, Vodafone, and EMC. These examples will give the reader practical techniques for their own business regardless of size or situation making Cult of Analytics a must have for any would-be digital marketer. This new edition has been thoroughly updated, now including examples out of how to get the best from Google analytics, as well as ways to use social media data, big data, tag management and advanced persona segmentation to drive real value in your organisation. It's also been expanded to include exercises and new cases for students and tutors using the book as a text. |
| digital marketing and analytics: Digital Marketing Analytics Kevin Hartman, 2020-04-23 From Kevin Hartman, Director of Analytics at Google, comes an essential guide for anyone seeking to collect, analyze, and visualize data in today's digital world. Even if you know nothing about digital marketing analytics, digital marketing analytics knows plenty about you. It's a fundamental, inescapable, and permanent cornerstone of modern business that affects the lives of analytics professionals and consumers in equal measure. This five-part book is an attempt to provide the context, perspective, and information needed to make analytics accessible to people who understand its reach and relevance and want to learn more. |
| digital marketing and analytics: Data Science for Marketing Analytics Tommy Blanchard, Debasish Behera, Pranshu Bhatnagar, 2019-03-30 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. |
| digital marketing and analytics: Essentials of Digital Marketing Kathryn Waite, Rodrigo Perez Vega, 2018-02-26 * An engaging introduction to the essentials of digital marketing; * Examines of the challenges and issues of integrating digital content, measuring performance outcomes and understanding digital analytics; * Contains international case studies to illustrate how digital marketing is being used in various industry settings. Do you know where to start with digital marketing? This user-friendly text book provides an engaging introduction to digital marketing to help you understand of the impact of digital channels on marketing operations. It introduces the essential terms, and practices of digital marketing and applies theory to explain the rationale for choosing to use a specific approach in a given context. It provides an overview of digital marketing challenges and opportunities by defining the field, explaining the structure of digital marketing management and introducing the digital marketing mix. It explains how to use digital marketing to enhance the customer experience and how to integrate digital marketing into existing channels. It also examines new digital business models including crowd sourcing and crowd funding. Finally it examines the key performance indicators of technology acceptance, customer satisfaction and customer engagement and the choice of analytics that can be used for measuring these outcomes. |
| digital marketing and analytics: Tap Anindya Ghose, 2017-04-14 How the smartphone can become a personal concierge (not a stalker) in the mobile marketing revolution of smarter companies, value-seeking consumers, and curated offers. Consumers create a data trail by tapping their phones; businesses can tap into this trail to harness the power of the more than three trillion dollar mobile economy. According to Anindya Ghose, a global authority on the mobile economy, this two-way exchange can benefit both customers and businesses. In Tap, Ghose welcomes us to the mobile economy of smartphones, smarter companies, and value-seeking consumers. Drawing on his extensive research in the United States, Europe, and Asia, and on a variety of real-world examples from companies including Alibaba, China Mobile, Coke, Facebook, SK Telecom, Telefónica, and Travelocity, Ghose describes some intriguingly contradictory consumer behavior: people seek spontaneity, but they are predictable; they find advertising annoying, but they fear missing out; they value their privacy, but they increasingly use personal data as currency. When mobile advertising is done well, Ghose argues, the smartphone plays the role of a personal concierge—a butler, not a stalker. Ghose identifies nine forces that shape consumer behavior, including time, crowdedness, trajectory, and weather, and he examines these how these forces operate, separately and in combination. With Tap, he highlights the true influence mobile wields over shoppers, the behavioral and economic motivations behind that influence, and the lucrative opportunities it represents. In a world of artificial intelligence, augmented and virtual reality, wearable technologies, smart homes, and the Internet of Things, the future of the mobile economy seems limitless. |
| digital marketing and analytics: Digital and Social Media Marketing Nripendra P. Rana, Emma L. Slade, Ganesh P. Sahu, Hatice Kizgin, Nitish Singh, Bidit Dey, Anabel Gutierrez, Yogesh K. Dwivedi, 2019-11-11 This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing. |
| digital marketing and analytics: Digital and Social Media Marketing Aleksej Heinze, Gordon Fletcher, Tahir Rashid, Ana Cruz, 2016-11-18 Digital and Social Media Marketing: A Results-Driven Approach is an exciting new industry-led, research-informed and results-driven guide to digital commerce. Its examples draw from SMEs and from Europe to offer a unique perspective for those learning about digital marketing and, having been developed in close collaboration with the Search Engine Marketing Trade Association (SEMTA), it is a reliable source of prevailing industry standards for practitioners at the cutting edge of their trade. Unlike other digital marketing texts, this accessible textbook gives special consideration to the ethical challenges raised by an increasingly digital world. Equally unique is the book’s Digital Business Maturity Model, which offers organisations a clear roadmap for understanding their relative levels of technology adoption. Embracing the true spirit of Digital and Social Media Marketing, the book will be the first of its kind in this field with digital learning materials, case studies and exercises available in a supporting Massive Open Online Course (MOOC). The MOOC will enhance learners’ experience and create an interactive international learning community. This book will provide a hands on, accessible and user friendly platform to turn skills and knowledge into strategic advantage. Ideal for postgraduate learners, instructors interested in providing a unique and up-to-date learning experience and for SMEs and practitioners aiming to be at the cutting edge of Digital and Social Media Marketing. |
| digital marketing and analytics: Excel 2019 for Marketing Statistics Thomas J. Quirk, Eric Rhiney, 2021-02-23 This book shows the capabilities of Microsoft Excel in teaching marketing statistics effectively. It is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical marketing problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in marketing courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Marketing Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand marketing problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned. |
| digital marketing and analytics: Creating Value with Data Analytics in Marketing Peter C. Verhoef, Edwin Kooge, Natasha Walk, Jaap E. Wieringa, 2021-11-07 The key competing texts are practitioner-focused ‘how to’ guides, whilst our book combines rigorous theory with practical insight and examples, with authors from both the academic and business world, making it more adoptable as a student text; Unlike other books on the subject, this has a customer focus and an exploration of how big data can add value to customers as well as organisations; Enables readers to move from big data to big solutions by demonstrating how to integrate data analytics into specific goals and processes for implementation; Highly successful and well regarded both for students and practitioners |
| digital marketing and analytics: Advanced Web Metrics with Google Analytics Brian Clifton, 2010-04-22 Packed with insider tips and tricks, this how-to guide is fully revised to cover the latest version of Google Analytics and shows you how to implement proven Web analytics methods and concepts. This second edition of the bestselling Advanced Web Metrics with Google Analytics is the perfect book for marketers, vendors, consultants, and Webmasters who want to learn the installation, configuration, tracking techniques, and best practices of Google Analytics. Google Analytics is a free tool that measures Web site effectiveness and helps users better understand how web site performance; this book is a detailed usage guide written by one of the software's original creators Explains what filters keep data accurate, how to measure Flash usage and tag for e-mail marketing, and what visitor segmentation provides the most useful feedback Examines principles and practices of Web analytics, then shows how to use GA's reports and how to track dynamic Web pages, banners, outgoing links, and contact forms Discusses advanced setups for configuring goals and filters, how to integrate GA with third-party systems, and how to leverage the new API Advanced Web Metrics with Google Analytics, Second Edition is valuable for both novice and experienced users of Google Analytics. |
| digital marketing and analytics: Marketing Analytics Robert W. Palmatier, J. Andrew Petersen, Frank Germann, 2022-03-24 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. |
| digital marketing and analytics: Cult of Analytics Steve Jackson, 2009 'Cult of Analytics' enables professionals to build an analytics driven culture into their business or organization, turning tried & tested tactics into an actionable plan to change their culture to one that uses web analytics on a day to day basis. |
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