Marketing Analytics

Marketing Analytics Author Wayne L. Winston
ISBN-10 9781118417300
Year 2014-01-08
Pages 720
Language en
Publisher John Wiley & Sons
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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.

Data Driven Marketing

Data Driven Marketing Author Mark Jeffery
ISBN-10 9780470504543
Year 2010-02-08
Pages 298
Language en
Publisher John Wiley & Sons
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Praise for Data-Driven Marketing "To paraphrase the old adage: 'Half of marketing dollars are effective, we just don't know which half!' This book changes the marketing game so you'll really know what's working and what's not. The 15 metrics, along with the case examples, are an authoritative toolkit for making better decisions to create new markets, drive revenue, increase customer satisfaction, and improve profitability." —John M. Boushy, former CEO, Ameristar Casinos, Inc. "A groundbreaking combination of research, frameworks, and pragmatic advice for both controlling and radically improving marketing. A must-read for the entire marketing organization, from the CMO to the front lines." —Barry Judge, Executive Vice President and Chief Marketing Officer, Best Buy "Business-to-consumer marketing and business-to-business marketing are very different. Through detailed examples, this outstanding book shows how to apply data-driven marketing in both worlds for real results. This book is for anyone in business, not just marketing, who wants to step up the performance of their marketing." —David G. Bills, Senior Vice President and Chief Marketing and Sales Officer, DuPont "Every year, baseball teams go to places like Florida and Arizona to run through the basics which are the cornerstone of performance excellence. This book is the marketing equivalent of taking all those ground balls. An essential read for every marketer who cares about—and wants to improve upon—the science of their craft." —Derek Ungless, Executive Vice President and Chief Marketing Officer, DSW Shoe Warehouse

Cutting Edge Marketing Analytics

Cutting Edge Marketing Analytics Author Rajkumar Venkatesan
ISBN-10 9780133552577
Year 2014-06-10
Pages 320
Language en
Publisher Pearson Education
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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

Marketing Analytics

Marketing Analytics Author Stephan Sorger
ISBN-10 1481900307
Year 2013-01-31
Pages 498
Language en
Publisher CreateSpace
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Marketing Analytics: Strategic Models and Metrics 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. The book contains a wealth of information on marketing analytics: Almost 500 pages of text, covering a wide variety of decision models and metrics Nearly 400 figures, including diagrams, tables, and charts Step-by-step instructions on market segmentation, conjoint analysis, and other techniques Current examples demonstrating how organizations are applying models and metrics The list of chapters below includes a sample of the topics: Chapter 1. Introduction - Introduction to marketing analytics Chapter 2. Market Insight - Market sizing and trend analysis Chapter 3. Market Segmentation - Segment identification, analysis, and strategy Chapter 4. Competitive Analysis - Competitor identification, analysis, and strategy Chapter 5. Business Strategy - Analytics-based strategy selection Chapter 6. Business Operations - Forecasting, predictive analytics, and data mining Chapter 7. Product and Service Analytics - Conjoint analysis and product/service metrics Chapter 8. Price Analytics - Pricing techniques and assessment Chapter 9. Distribution Analytics - Analytics-based channel evaluation and selection Chapter 10. Promotion Analytics - Promotion budget estimation and allocation Chapter 11. Sales Analytics - Metrics for sales, profitability, and support Chapter 12. Analytics in Action - Pivot tables and data-driven presentations Edition: First Edition, Version 1.1, introduced November 2013. Revision 1.1 incorporates minor corrections and edits. It retains the same layout as the original release (First Edition, Version 1.0). See StephanSorger.com for a complete record of all changes.

Digital Marketing Analytics

Digital Marketing Analytics Author Chuck Hemann
ISBN-10 9780133150926
Year 2013-04-10
Pages 384
Language en
Publisher Que Publishing
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Distill 100%–Usable Max-Profit Knowledge 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 CRM to social media marketing! • Prioritize—because you can’t measure, listen to, and analyze everything • Use analysis to craft experiences that profoundly reflect each customer’s needs, expectations, and behaviors • Measure real social media ROI: sales, leads, and customer satisfaction • Track the performance of all paid, earned, and owned social media channels • Leverage “listening data” way beyond PR and marketing: for strategic planning, product development, and HR • Start optimizing web and social content in real time • Implement advanced tools, processes, and algorithms for accurately measuring influence • Integrate paid and social data to drive more value from both • Make the most of surveys, focus groups, and offline research synergies • Focus new marketing and social media investments where they’ll deliver the most value Foreword by Scott Monty Global Head of Social Media, Ford Motor Company

Marketing Analytics

Marketing Analytics Author Mike Grigsby
ISBN-10 9780749474188
Year 2015-06-03
Pages 248
Language en
Publisher Kogan Page Publishers
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Marketing Analytics arms business analysts and marketers with the marketing science understanding and techniques they need to solve real-world marketing problems, from pulling a targeted list and segmenting data to testing campaign effectiveness and forecasting demand. Assuming no prior knowledge, this book outlines everything practitioners need to 'do' marketing science and demonstrate value to their organization. It introduces concepts relating to statistics, marketing strategy and consumer behaviour and then works through a series of marketing problems in a straightforward, jargon-free way. It demonstrates solutions for various data modelling scenarios and includes full workings and critical analyses to reinforce the key concepts. By starting with the marketing problem and then sharing a series of data modelling options on how to solve it, Marketing Analytics both makes marketing science accessible for beginners and aids the more seasoned practitioner in getting to grips with the trickier technical aspects of data analytics to refine their marketing skills and toolkit and compete more effectively in the marketplace. Online supporting resources for this book include a bank of test questions as well as data sets relating to a number of chapters. About the series: The Marketing Science series makes difficult topics accessible to marketing students and practitioners by grounding them in business reality. Each book is written by an expert in the field and includes case studies and illustrations enabling marketers to gain confidence in applying the tools and techniques and in commissioning external research.

Predictive Marketing

Predictive Marketing Author Omer Artun
ISBN-10 9781119037330
Year 2015-08-06
Pages 272
Language en
Publisher John Wiley & Sons
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Make personalized marketing a reality with this practical guide to predictive analytics Predictive Marketing is a predictive analytics primer for organizations large and small, offering practical tips and actionable strategies for implementing more personalized marketing immediately. The marketing paradigm is changing, and this book provides a blueprint for navigating the transition from creative- to data-driven marketing, from one-size-fits-all to one-on-one, and from marketing campaigns to real-time customer experiences. You'll learn how to use machine-learning technologies to improve customer acquisition and customer growth, and how to identify and re-engage at-risk or lapsed customers by implementing an easy, automated approach to predictive analytics. Much more than just theory and testament to the power of personalized marketing, this book focuses on action, helping you understand and actually begin using this revolutionary approach to the customer experience. Predictive analytics can finally make personalized marketing a reality. For the first time, predictive marketing is accessible to all marketers, not just those at large corporations — in fact, many smaller organizations are leapfrogging their larger counterparts with innovative programs. This book shows you how to bring predictive analytics to your organization, with actionable guidance that get you started today. Implement predictive marketing at any size organization Deliver a more personalized marketing experience Automate predictive analytics with machine learning technology Base marketing decisions on concrete data rather than unproven ideas Marketers have long been talking about delivering personalized experiences across channels. All marketers want to deliver happiness, but most still employ a one-size-fits-all approach. Predictive Marketing provides the information and insight you need to lift your organization out of the campaign rut and into the rarefied atmosphere of a truly personalized customer experience.

Marketing Data Science

Marketing Data Science Author Thomas W. Miller
ISBN-10 9780133887341
Year 2015-05-02
Pages 225
Language en
Publisher FT Press
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Now , a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications. Building on Miller's pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. Starting where Miller's widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes: The role of analytics in delivering effective messages on the web Understanding the web by understanding its hidden structures Being recognized on the web – and watching your own competitors Visualizing networks and understanding communities within them Measuring sentiment and making recommendations Leveraging key data science methods: databases/data preparation, classical/Bayesian statistics, regression/classification, machine learning, and text analytics Six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. This text's extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and/or R. Marketing Data Science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.

R for Marketing Research and Analytics

R for Marketing Research and Analytics Author Chris Chapman
ISBN-10 9783319144368
Year 2015-03-09
Pages 454
Language en
Publisher Springer
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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.

Excel for Marketing Managers

Excel for Marketing Managers Author Ivana Taylor
ISBN-10 9781615473120
Year 2006-01-01
Pages 150
Language en
Publisher Tickling Keys, Inc.
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The most powerful Microsoft Excel features that can be used to sort through data to produce meaningful marketing analyses are outlined in this manual. Marketing managers will learn the math functions to produce budgets and forecasts, and how to use survey analysis to quickly spot trends using pivot tables and other analysis tools. Ideas for launch schedules, life cycle management, and other date-related information are also presented.

Marketing Analytics Roadmap

Marketing Analytics Roadmap Author Jerry Rackley
ISBN-10 9781484202593
Year 2015-05-30
Pages 168
Language en
Publisher Apress
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Many managers view marketing as a creative endeavor, not something that is measurable or manageable by numbers. But today’s leaders in the C-suite demand greater accountability. They want to know that they are getting a return on their marketing investment. And to get that ROI number, you need analytics. This expectation is intimidating for the many sales and marketing managers who rely on marketing instincts, not metrics, to do their work. But Marketing Analytics Roadmap: Methods, Metrics, and Tools demonstrates that employing analytics isn't just a way to keep the CEO off your back. It improves marketing results and ensures marketers a seat at the table where big decisions get made. In this book, analytics expert Jerry Rackley shows you how to understand and implement a sound marketing analytics process that helps eliminate the guesswork about the results produced by your marketing efforts. The result? You will acquire—and keep—more customers. Even better, you'll find that an analytics process helps the entire organization make better decisions, and not just marketers. Marketing Analytics Roadmap explains: How to use analytics to create marketing and sales metrics that guide your actions and provide valuable feedback on your efforts How to structure and use dashboards to report marketing results How to put industry-leading analytics software and other tools to good use How Big Data is shaping the marketing analytics landscape Sales and marketing teams that master marketing analytics will find them a powerful servant that enables agility, raises effectiveness, and creates confidence. Marketing Analytics Roadmap shows you how to build a well-planned and executed marketing analytics strategy that will enhance the credibility of your marketing team and help you not only get a seat at the big-decisions table, but keep it once there.

It s Not the Size of the Data It s How You Use It

It s Not the Size of the Data    It s How You Use It Author KOEN PAUWELS
ISBN-10 9780814433966
Year 2014-03-26
Pages 240
Language en
Publisher AMACOM Div American Mgmt Assn
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Brand tracking, CRM programs, trade shows, online behavior tracking, satisfaction studies. Mounds of marketing metrics are generated across touchpoints and channels. It can be information overload--too much, too scattered. But locked in the vast quantity of information are accurate, data-driven answers to every marketing question. Analytic dashboards are transformative web-based tools that gather, syn the size, and visually display essential data in real time, directly connecting marketing with performance. World renowned marketing expert Koen Pauwels supplies a simple yet rigorous methodology and wealth of case studies to help any size organization, in any industry, turn data into productive action. He explains step by step how to: ● Gain crucial IT support ● Build a rock-solid database ● Select key leading performance indicators ● Design the optimal dashboard layout ● Use marketing analytics to improve decisions and reap rewards Gut decisions are outdated and downright dangerous. Whether you're trying to allocate resources between online and offline marketing, measure the ROI of specific efforts, or scale up a creative campaign, dashboard analytics bring scientific precision and insight to marketing efforts--with far better results.

Advanced Customer Analytics

Advanced Customer Analytics Author Mike Grigsby
ISBN-10 9780749477165
Year 2016-10-03
Pages 264
Language en
Publisher Kogan Page Publishers
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Advanced Customer Analytics provides a clear guide to the specific analytical challenges faced by the retail sector. The book covers the nature and scale of data obtained in transactions, relative proximity to the consumer and the need to monitor customer behaviour across multiple channels. The book advocates a category management approach, taking into account the need to understand the consumer mindset through elasticity modelling and discount strategies, as well as targeted marketing and loyalty design. A practical, no-nonsense approach to complex scenarios is taken throughout, breaking down tasks into easily digestible steps. The use of a fictional retail analyst 'Scott' helps to provide accessible examples of practice. Advanced Customer Analytics does not skirt around the complexities of this subject but offers conceptual support to steer retail marketers towards making the right choices for analysing their data.

Excel 2016 Bible

Excel 2016 Bible Author John Walkenbach
ISBN-10 9781119067511
Year 2015-10-26
Pages 1152
Language en
Publisher John Wiley & Sons
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The complete guide to Excel 2016, from Mr. Spreadsheet himself Whether you are just starting out or an Excel novice, the Excel 2016 Bible is your comprehensive, go-to guide for all your Excel 2016 needs. Whether you use Excel at work or at home, you will be guided through the powerful new features and capabilities by expert author and Excel Guru John Walkenbach to take full advantage of what the updated version offers. Learn to incorporate templates, implement formulas, create pivot tables, analyze data, and much more. Navigate this powerful tool for business, home management, technical work, and much more with the only resource you need, Excel 2016 Bible. Create functional spreadsheets that work Master formulas, formatting, pivot tables, and more Get acquainted with Excel 2016's new features and tools Customize downloadable templates and worksheets Whether you need a walkthrough tutorial or an easy-to-navigate desk reference, the Excel 2016 Bible has you covered with complete coverage and clear expert guidance.