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 0470595698
Year 2010-01-29
Pages 320
Language en
Publisher John Wiley & Sons
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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 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

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.

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.

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.

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.

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.

Principles of Marketing Engineering and Analytics 3rd Edition

Principles of Marketing Engineering and Analytics  3rd Edition Author Gary L. Lilien
ISBN-10 9780985764838
Year 2017-04-17
Pages 328
Language en
Publisher DecisionPro
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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. 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). 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. ** The latest edition includes up-to-date examples and references as well as a new chapter on the digital online revolution in marketing and its implications for online advertising. In addition, the edition now incorporates some basic financial concepts (ROI, Breakeven Analysis, and Opportunity Cost) and other tools essential to the new domain of marketing analytics. **

Predictive Marketing

Predictive Marketing Author Omer Artun
ISBN-10 9781119037361
Year 2015-08-24
Pages 272
Language en
Publisher John Wiley & Sons
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Marketers have long been talking about delivering personalized experiences across channels. All marketers want to deliver happiness. In reality most marketers still practice one-size-fits-all marketing. Predictive analytics can finally make personalized marketing a reality – by making it easy and automated. Predictive marketing is for the first time accessible to all marketers, not just to those at large corporations. In fact, many smaller organizations are leap-frogging their larger counterparts with innovative programs. This book will offer marketers in organizations large and small a great primer of “predictive analytics for marketers” as well as practical tips and strategies to get started immediately. The book will feature many success stories from across the customer lifecycle: how to use machine-learning technologies to improve customer acquisition, customer growth and how to identify and re-engage customers at risk or lapsed customers.

Data Driven Marketing For Dummies

Data Driven Marketing For Dummies Author David Semmelroth
ISBN-10 9781118616017
Year 2013-09-20
Pages 312
Language en
Publisher John Wiley & Sons
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Embrace data and use it to sell and market your products Data is everywhere and it keeps growing and accumulating. Companies need to embrace big data and make it work harder to help them sell and market their products. Successful data analysis can help marketing professionals spot sales trends, develop smarter marketing campaigns, and accurately predict customer loyalty. Data Driven Marketing For Dummies helps companies use all the data at their disposal to make current customers more satisfied, reach new customers, and sell to their most important customer segments more efficiently. Identifying the common characteristics of customers who buy the same products from your company (or who might be likely to leave you) Tips on using data to predict customer purchasing behavior based on past performance Using customer data and marketing analytics to predict when customers will purchase certain items Information on how data collected can help with merchandise planning Breaking down customers into segments for easier market targeting Building a 360 degree view of a customer base Data Driven Marketing For Dummies assists marketing professionals at all levels of business in accelerating sales through analytical insights.

Marketing Analytics

Marketing Analytics Author Ashok Charan
ISBN-10 9789814641388
Year 2015-05-20
Pages 720
Language en
Publisher World Scientific Publishing Co Inc
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The digital age has transformed the very nature of marketing. Armed with smartphones, tablets, PCs and smart TVs, consumers are increasingly hanging out on the internet. Cyberspace has changed the way they communicate, and the way they shop and buy. This fluid, de-centralized and multidirectional medium is changing the way brands engage with consumers. At the same time, technology and innovation, coupled with the explosion of business data, has fundamentally altered the manner we collect, process, analyse and disseminate market intelligence. The increased volume, variety and velocity of information enables marketers to respond with much greater speed, to changes in the marketplace. Market intelligence is timelier, less expensive, and more accurate and actionable. Anchored in this age of transformations, Marketing Analytics is a practitioner's guide to marketing management in the 21st century. The text devotes considerable attention to the way market analytic techniques and market research processes are being refined and re-engineered. Written by a marketing veteran, it is intended to guide marketers as they craft market strategies, and execute their day to day tasks.

Effective CRM Using Predictive Analytics

Effective CRM Using Predictive Analytics Author Antonios Chorianopoulos
ISBN-10 9781119011552
Year 2016-01-19
Pages 392
Language en
Publisher John Wiley & Sons
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A step-by-step guide to data mining applications in CRM. Following a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques. The book is organized into three parts. Part one provides a methodological roadmap, covering both the business and the technical aspects. The data mining process is presented in detail along with specific guidelines for the development of optimized acquisition, cross/ deep/ up selling and retention campaigns, as well as effective customer segmentation schemes. Additionally, some of the most useful data mining algorithms are explained in a simple and comprehensive way for business users with no technical expertise. In part two, some of the most useful data mining algorithms are explained in a simple and comprehensive way for business users with no technical expertise. Part three is packed with real world case studies which employ the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Case studies from industries including banking, retail and telecommunications are presented in detail so as to serve as templates for developing similar applications. Key Features: Includes numerous real-world case studies which are presented step by step, demystifying the usage of data mining models and clarifying all the methodological issues. Topics are presented with the use of three leading data mining tools: IBM SPSS Modeler, RapidMiner and Data Mining for Excel. Accompanied by a website featuring material from each case study, including datasets and relevant code. Combining data mining and business knowledge, this practical book provides all the necessary information for designing, setting up, executing and deploying data mining techniques in CRM. Effective CRM using Predictive Analytics will benefit data mining practitioners and consultants, data analysts, statisticians, and CRM officers. The book will also be useful to academics and students interested in applied data mining.