Cutting Edge Marketing Analytics

Author : Rajkumar Venkatesan
Publisher : Pearson Education
ISBN 13 : 0133552527
Total Pages : 321 pages
Book Rating : 4.22/5 ( download)

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Download or read book Cutting-edge Marketing Analytics written by Rajkumar Venkatesan and published by Pearson Education. This book was released on 2015 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Rajkumar Venkatesan
Publisher : University of Virginia Press
ISBN 13 : 081394516X
Total Pages : 278 pages
Book Rating : 4.63/5 ( download)

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Download or read book Marketing Analytics written by Rajkumar Venkatesan and published by University of Virginia Press. This book was released on 2021-01-13 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Rajkumar Venkatesan
Publisher :
ISBN 13 : 9780133552584
Total Pages : pages
Book Rating : 4.86/5 ( download)

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Download or read book Cutting-edge Marketing Analytics written by Rajkumar Venkatesan and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Alex Polishchuk
Publisher :
ISBN 13 :
Total Pages : 114 pages
Book Rating : 4.36/5 ( download)

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Download or read book Cutting-Edge Digital Marketing written by Alex Polishchuk and published by . This book was released on 2021-04-22 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital marketing is an innovative way to attract a large audience to your online project. There are a wide variety of online marketing techniques that you can use, such as social media marketing, content marketing, email marketing, search engine optimization, affiliate marketing, inbound marketing, mobile marketing, display advertising, paid search, web analytics, conversion optimization, etc. In this digital marketing book, we will discuss how to make these marketing techniques work in sync with each other.Role of digital marketing in 2021The COVID-19 pandemic has made a significant impact on the digitization process. The digital world is a part of our lives now more than ever. According to the Q2 2020 report from the U.S. Census Bureau, U.S. retail e-commerce has reached $211.5 billion. That's up 31.8% from the first quarter and up 44.5% year-over-year.Industry experts, marketing professionals, and digital marketers believe that digital marketing influence will continue to grow.After reading this book, you will have: - A clear picture of your competitors' activity online.- A set of tools to track your work's effectiveness, and you will be able to monitor what your team is doing.- Understand how to attract customers from search engines, social networks, and mailing lists.- How to form checklists and detailed guides for further independent work on your project.Types and examples of digital marketingNowadays, digital marketing is everywhere! Digital marketers communicate with audiences through search engine marketing, social media marketing, paid search, content strategy, display advertising, marketing analytics, big data, and machine learning. If you think that Big Tech is watching you online, you are certainly right!Digital marketing specialists work with massive amounts of data and analytic tools to target ads better.Why should you choose this digital marketing book?So why should you choose us over other online books and digital marketing training? You will have the opportunity to learn digital marketing online from top internet marketing professionals: We are industry experts! We have over 12 years of experience in online marketing. Our agency has Google Premier Partner and Facebook Marketing Partner status.I've personally collected a vast amount of digital marketing qualifications and marketing certifications (Google Analytics Individual Qualification, Google Ads Individual Qualification, Bing Ads Accredited Professional, Search Ads360 Certified, and others)We've launched over 1,500 successful marketing strategies and marketing campaigns during our careersWe have over 9,000 digital marketing specialists enrolled in our online books, and they all passed their Google Analytics and Google Ads digital marketing certifications.Our digital marketing books are easy to understand.

Author : Wayne L. Winston
Publisher : John Wiley & Sons
ISBN 13 : 1118417305
Total Pages : 727 pages
Book Rating : 4.00/5 ( download)

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Download or read book Marketing Analytics written by Wayne L. Winston and published by John Wiley & Sons. This book was released on 2014-01-08 with total page 727 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Raj Venkatesan
Publisher : Stanford University Press
ISBN 13 : 1503628043
Total Pages : 295 pages
Book Rating : 4.45/5 ( download)

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Download or read book The AI Marketing Canvas written by Raj Venkatesan and published by Stanford University Press. This book was released on 2021-05-18 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a direct, actionable plan CMOs can use to map out initiatives that are properly sequenced and designed for success—regardless of where their marketing organization is in the process. The authors pose the following critical questions to marketers: (1) How should modern marketers be thinking about artificial intelligence and machine learning? and (2) How should marketers be developing a strategy and plan to implement AI into their marketing toolkit? The opening chapters provide marketing leaders with an overview of what exactly AI is and how is it different than traditional computer science approaches. Venkatesan and Lecinski, then, propose a best-practice, five-stage framework for implementing what they term the "AI Marketing Canvas." Their approach is based on research and interviews they conducted with leading marketers, and offers many tangible examples of what brands are doing at each stage of the AI Marketing Canvas. By way of guidance, Venkatesan and Lecinski provide examples of brands—including Google, Lyft, Ancestry.com, and Coca-Cola—that have successfully woven AI into their marketing strategies. The book concludes with a discussion of important implications for marketing leaders—for your team and culture.

Author : Mirza Rahim Baig
Publisher : Packt Publishing Ltd
ISBN 13 : 1800563884
Total Pages : 637 pages
Book Rating : 4.89/5 ( download)

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Download or read book Data Science for Marketing Analytics written by Mirza Rahim Baig and published by Packt Publishing Ltd. This book was released on 2021-09-07 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Judah Phillips
Publisher : FT Press
ISBN 13 : 0133372812
Total Pages : 369 pages
Book Rating : 4.16/5 ( download)

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Download or read book Building a Digital Analytics Organization written by Judah Phillips and published by FT Press. This book was released on 2013-07-25 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drive maximum business value from digital analytics, web analytics, site analytics, and business intelligence! In Building a Digital Analytics Organization, pioneering expert Judah Phillips thoroughly explains digital analytics to business practitioners, and presents best practices for using it to reduce costs and increase profitable revenue throughout the business. Phillips covers everything from making the business case through defining and executing strategy, and shows how to successfully integrate analytical processes, technology, and people in all aspects of operations. This unbiased and product-independent guide is replete with examples, many based on the author’s own extensive experience. Coverage includes: key concepts; focusing initiatives and strategy on business value, not technology; building an effective analytics organization; choosing the right tools (and understanding their limitations); creating processes and managing data; analyzing paid, owned, and earned digital media; performing competitive and qualitative analyses; optimizing and testing sites; implementing integrated multichannel digital analytics; targeting consumers; automating marketing processes; and preparing for the revolutionary “analytical economy.” For all business practitioners interested in analytics and business intelligence in all areas of the organization.

Author : Eric Siegel
Publisher : John Wiley & Sons
ISBN 13 : 1119145686
Total Pages : 368 pages
Book Rating : 4.84/5 ( download)

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Download or read book Predictive Analytics written by Eric Siegel and published by John Wiley & Sons. This book was released on 2016-01-13 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

Author : Kevin K Byon
Publisher : Taylor & Francis
ISBN 13 : 1000618935
Total Pages : 384 pages
Book Rating : 4.38/5 ( download)

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Download or read book Marketing Analysis in Sport Business written by Kevin K Byon and published by Taylor & Francis. This book was released on 2022-07-15 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.