{"product_id":"retail-analytics-isbn-9781118099841","title":"Retail Analytics","description":"\u003cb\u003eThe inside scoop on boosting sales through spot-on analytics\u003c\/b\u003e  \u003cp\u003eRetailers collect a huge amount of data, but don't know what to do with it. \u003ci\u003eRetail Analytics\u003c\/i\u003e not only provides a broad understanding of retail, but also shows how to put accumulated data to optimal use. Each chapter covers a different focus of the retail environment, from retail basics and organization structures to common retail database designs. Packed with case studies and examples, this book insightfully reveals how you can begin using your business data as a strategic advantage.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eHelps retailers and analysts to use analytics to sell more merchandise\u003c\/li\u003e \u003cli\u003eProvides fact-based analytic strategies that can be replicated with the same success the author achieved on a global level\u003c\/li\u003e \u003cli\u003eReveals how retailers can begin using their data as a strategic advantage\u003c\/li\u003e \u003cli\u003eIncludes examples from many retail departments illustrating successful use of data and analytics\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eAnalytics is the wave of the future. Put your data to strategic use with the proven guidance found in \u003ci\u003eRetail Analytics\u003c\/i\u003e.\u003c\/p\u003e  \u003cb\u003ePreface ix\u003c\/b\u003e  \u003cp\u003e\u003cb\u003eAcknowledgments xi\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Retailing Analytics: An Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eRetailer Goodwill 2\u003c\/p\u003e \u003cp\u003eThe Inside Scoop: Retail Power Brokers 2\u003c\/p\u003e \u003cp\u003eRetail Organization 3\u003c\/p\u003e \u003cp\u003eReal Estate Marketing 5\u003c\/p\u003e \u003cp\u003eCreative Advertising Marketing 6\u003c\/p\u003e \u003cp\u003eOperations Marketing (Research) 6\u003c\/p\u003e \u003cp\u003eDirect Marketing 7\u003c\/p\u003e \u003cp\u003eStrategic Marketing 7\u003c\/p\u003e \u003cp\u003eCommunicating to the Retail Organization 8\u003c\/p\u003e \u003cp\u003ePoint of Sale versus Market Basket Data 9\u003c\/p\u003e \u003cp\u003eData Is Gold 10\u003c\/p\u003e \u003cp\u003eData as Revenue: The Price of Retail Data 12\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Retail and Data Analytics 15\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHard-Core Data Terms: Now We’re Talking about the Fun Stuff 15\u003c\/p\u003e \u003cp\u003eMarket Basket 16\u003c\/p\u003e \u003cp\u003eData Storage 101 17\u003c\/p\u003e \u003cp\u003eData without Use Is Overhead 19\u003c\/p\u003e \u003cp\u003eCase Studies and Practical Examples of Data-Related Retail Projects 20\u003c\/p\u003e \u003cp\u003eTrade Area Modeling 20\u003c\/p\u003e \u003cp\u003eReal Estate Site Selection Modeling 21\u003c\/p\u003e \u003cp\u003eCompetitor Threat Analytics 22\u003c\/p\u003e \u003cp\u003eMerchandise Mix Modeling: Combining Multiple Data Sources 23\u003c\/p\u003e \u003cp\u003eCelebrity Marketing: Tracking Effectiveness 26\u003c\/p\u003e \u003cp\u003eHouse Brand versus Name Brand 28\u003c\/p\u003e \u003cp\u003eE-Business: Clicks and Mortar 29\u003c\/p\u003e \u003cp\u003eAffinity Merchandising: Merchandise Cross-Sell Case Study 33\u003c\/p\u003e \u003cp\u003eMarket Basket Analysis: Examples 35\u003c\/p\u003e \u003cp\u003eStore Departmental Cross-Selling 40\u003c\/p\u003e \u003cp\u003eSingle Category Affi nity Analysis: Paper Towels 43\u003c\/p\u003e \u003cp\u003eBest Checkout Register Impulse Items for Christmas Season: Case Study 45\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 The Apparel Industry  47\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMany Types of Apparel Businesses 47\u003c\/p\u003e \u003cp\u003eRetailer Building and Location, Location, Location 48\u003c\/p\u003e \u003cp\u003eWho Is My Customer? Size Up the Opportunity and Show Me the Money! 49\u003c\/p\u003e \u003cp\u003eEvolution of a Brand: Not Your Father’s Blue Jeans 50\u003c\/p\u003e \u003cp\u003eDiversifi cation: Spread Risks over Multiple Businesses 51\u003c\/p\u003e \u003cp\u003eCritical, Need-to-Know Information in Apparel Analytics 52\u003c\/p\u003e \u003cp\u003eSeasonality: Styles Change like the Wind 52\u003c\/p\u003e \u003cp\u003eSeasonal Counterpoint 54\u003c\/p\u003e \u003cp\u003eMerchandise Placement and Presentation: From Racks to Riches 54\u003c\/p\u003e \u003cp\u003eAccessories 55\u003c\/p\u003e \u003cp\u003eNext Best Offers 55\u003c\/p\u003e \u003cp\u003ePromotions: Lifeblood of the Apparel Business 57\u003c\/p\u003e \u003cp\u003eRetail in General: Impulse Buying 57\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Importance of Geography and Demographics  59\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUnderstanding the Tools and the Data Requirements 60\u003c\/p\u003e \u003cp\u003eHow Geographic Information Systems Work: Science behind the Tools 60\u003c\/p\u003e \u003cp\u003eGIS Layers of Information: Building a Map, Layer by Layer 61\u003c\/p\u003e \u003cp\u003eHow Geography Fits into Retail: Location, Location, and Location! 61\u003c\/p\u003e \u003cp\u003eRetail Geography: Data and Lots of It 61\u003c\/p\u003e \u003cp\u003eRetail Data: Internal Data Collection 63\u003c\/p\u003e \u003cp\u003eRetail Trade Areas: Differing Methods for Debate 63\u003c\/p\u003e \u003cp\u003eZip Code Data: Forecasting Application Volume by Store 66\u003c\/p\u003e \u003cp\u003eNow That We Understand the Tool and the Data, What Do We Do? 66\u003c\/p\u003e \u003cp\u003eCard Preference Opportunity by Zip Code: Case Study 66\u003c\/p\u003e \u003cp\u003eExample of Sales Penetration Map 71\u003c\/p\u003e \u003cp\u003eMarket Observations: Additional Uses of the GIS Tool 72\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 In-Store Marketing and Presentation  75\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUnderstanding the Different Store Designs 76\u003c\/p\u003e \u003cp\u003eOld Theories of Merchandise Placement 77\u003c\/p\u003e \u003cp\u003eNew Theories of Merchandise Placement 77\u003c\/p\u003e \u003cp\u003eMass Merchandisers Were Slow to Catch On: Does Convenience Translate into Sales? 78\u003c\/p\u003e \u003cp\u003eAll about Pricing 78\u003c\/p\u003e \u003cp\u003eEveryday Low Price 79\u003c\/p\u003e \u003cp\u003eLoyalty Discount Philosophies 82\u003c\/p\u003e \u003cp\u003eTiered Pricing 82\u003c\/p\u003e \u003cp\u003eTypes and Sizes: Retail Store Strategies 84\u003c\/p\u003e \u003cp\u003eStore in a Store: Make Shopping Convenient 84\u003c\/p\u003e \u003cp\u003eWhat’s in a Store: Convenience Stores to Hypermart Stores 85\u003c\/p\u003e \u003cp\u003eHypermarts: When Is Big \u003ci\u003eToo\u003c\/i\u003e Big? 86\u003c\/p\u003e \u003cp\u003eWarehouse Clubs: Paying for the Privilege to Shop 87\u003c\/p\u003e \u003cp\u003eShopping by Design: Traffi c Patterns 88\u003c\/p\u003e \u003cp\u003eCategory Management: Science behind the Merchandise Mix 91\u003c\/p\u003e \u003cp\u003eMerchandise Placement: Strategy behind the Placement 93\u003c\/p\u003e \u003cp\u003eSpecialty Departments: Coffee, Breakfast, and Pizza 95\u003c\/p\u003e \u003cp\u003eOther Specialty Departments 95\u003c\/p\u003e \u003cp\u003eReceiving Dock 97\u003c\/p\u003e \u003cp\u003eStocking the Counters 98\u003c\/p\u003e \u003cp\u003eIn-Store Media: Advertising or Just Displays? 99\u003c\/p\u003e \u003cp\u003eReceipt Messages 103\u003c\/p\u003e \u003cp\u003eIn-Store Events 104\u003c\/p\u003e \u003cp\u003eHolidays 104\u003c\/p\u003e \u003cp\u003eAnalytics: Tracking a Moving Target 104\u003c\/p\u003e \u003cp\u003eMarketing Outside of the Store 105\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Store Operations and Retail Data  107\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSetting Up the Store for Success: Strategic Uses of Data 107\u003c\/p\u003e \u003cp\u003eLabor Forecasting 108\u003c\/p\u003e \u003cp\u003eImportance of Accurate Labor Forecasting: The Cost of Doing Business 109\u003c\/p\u003e \u003cp\u003eConsumer Differentiation at the Point of Sale Register 111\u003c\/p\u003e \u003cp\u003eHeating and Cooling: Centralized Thermostats 112\u003c\/p\u003e \u003cp\u003eIntrastore Communication 112\u003c\/p\u003e \u003cp\u003eReplenishment and POS Sales: Cause and Effect 114\u003c\/p\u003e \u003cp\u003eIn-Store Career Path: Stockperson to Store Manager 115\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Loyalty Marketing  117\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLoyalty Programs 117\u003c\/p\u003e \u003cp\u003eWho Is the Sponsor for the Program? 122\u003c\/p\u003e \u003cp\u003eQuestions to Answer before You Begin 123\u003c\/p\u003e \u003cp\u003eTotal Program Incentive: Are You Loyal? 125\u003c\/p\u003e \u003cp\u003eFrom the Consumer Finance Credit Card Retail Perspective 127\u003c\/p\u003e \u003cp\u003eLoyalty Segments: Develop Them Early 128\u003c\/p\u003e \u003cp\u003eLoyalty at POS: Different Stages and Levels of Loyalty 130\u003c\/p\u003e \u003cp\u003eKmart’s School Spirit Loyalty Program 133\u003c\/p\u003e \u003cp\u003eAustralian Loyalty 135\u003c\/p\u003e \u003cp\u003eFlyBuys Rewards and Loyalty: Australia 136\u003c\/p\u003e \u003cp\u003eAdditional Loyalty Programs 137\u003c\/p\u003e \u003cp\u003eThe Retail World Is Changing 138\u003c\/p\u003e \u003cp\u003eSocial Media 139\u003c\/p\u003e \u003cp\u003e\u003cb\u003eGlossary 143\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAbout the Author 157\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex 159\u003c\/b\u003e\u003c\/p\u003e   \u003cp\u003e\u003cb\u003eEMMETT COX\u003c\/b\u003e is Senior Vice President of Consumer and Business Intelligence at BBVA Compass Bank, where he uses his retail experience in the development of strategic-based consumer programs. He has also worked for Walmart Financial Services, GE Money Global, and Kmart. He has lectured in many CRM and marketing conferences and seminars, including the Paris Loyalty Forum, Czech Republic Loyalty Management, ACNielsen Category Management, Spectra Marketing and Intelligent Targeting, Teradata NCR Partners, and others in the United States; Coolum, Australia; and Vienna, Austria.    \u003c\/p\u003e\u003cp\u003e\u003cb\u003eRETAIL ANALYTICS\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe Secret Weapon\u003c\/b\u003e  \u003c\/p\u003e\u003cp\u003eDrowning in data? You're not alone. Retailers across the globe have collected a coffer of data over the years. Knowing how to analyze and mine that data to increase sales and reap bigger profits is the key to your company's success. Learn how to leverage your data to your strategic advantage like the best-in-class retail giants with the field-tested solutions and examples found in \u003ci\u003eRetail Analytics\u003c\/i\u003e.  \u003c\/p\u003e\u003cp\u003eIntended as a reference guide to help you develop a better understanding of retailers' language and analytic processes, \u003ci\u003eRetail Analytics\u003c\/i\u003e provides you with the tools you need to analyze data, manage inventory, increase sales, and anticipate trends. Based on author Emmett Cox's thirty years of retail experience at Walmart, Kmart, and GE Money Global, this comprehensive reference guide provides fact-based, field-tested analytic strategies that you can replicate in your own company, including how one retailer eliminated 20 percent of its merchandise mix and still saw a 30 percent sales gain.  \u003c\/p\u003e\u003cp\u003eBeginning with a fundamental understanding of retail terminology and concepts across a wide variety of backgrounds and experience levels, each chapter covers a different focus of the retail environment, including retail basics, the highly volatile apparel industry, the importance of geography and demographics, in-store marketing and presentations, organization structures, and common retail database designs.  \u003c\/p\u003e\u003cp\u003eThroughout the guide, Cox weaves numerous hands-on solutions, case studies, and real-world examples of data-driven projects from such leading retailers as Kmart, Coles Group Kmart Target, ASDA, Walmart, and others. You'll discover: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eThe ABCs of retail: Know your SKUs, UPCs, EANs, JITs, POSs, and UCCs\u003c\/li\u003e \u003cli\u003eWhy data without use is just overhead\u003c\/li\u003e \u003cli\u003eCelebrity marketing: how to monitor incremental increases in quantity and sales of each \"celebrity\" item\u003c\/li\u003e \u003cli\u003eCritical need-to-know information in apparel analytics\u003c\/li\u003e \u003cli\u003eProduct placement: why diapers and chewing gum go well together\u003c\/li\u003e \u003cli\u003eGeography's role in retail\u003c\/li\u003e \u003cli\u003eStrategies for in-store marketing and presentation\u003c\/li\u003e \u003cli\u003eHow traffic patterns have evolved over the years to suit customers' time restrictions\u003c\/li\u003e \u003cli\u003eTips for setting up your store for success\u003c\/li\u003e \u003cli\u003eHow to develop loyalty programs early on\u003c\/li\u003e \u003cli\u003eConsumer finance credit card retail perspective\u003c\/li\u003e \u003cli\u003eHow Kmart developed the School Spirit loyalty program\u003c\/li\u003e \u003c\/ul\u003e  \u003cp\u003eDon't leave the fate of your business's success to chance. Discover how to apply the science of analytics to maximize results with the help of \u003ci\u003eRetail Analytics\u003c\/i\u003e.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989956182245,"sku":"NP9781118099841","price":45.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118099841.jpg?v=1761786022","url":"https:\/\/k12savings.com\/es\/products\/retail-analytics-isbn-9781118099841","provider":"K12savings","version":"1.0","type":"link"}