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Record Nr. |
UNINA9910139591803321 |
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Autore |
Cox Emmett <1957-> |
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Titolo |
Retail analytics [[electronic resource] ] : the secret weapon / / Emmett Cox |
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Pubbl/distr/stampa |
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Hoboken, N.J., : Wiley, c2012 |
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ISBN |
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1-118-14832-0 |
1-119-20534-4 |
1-283-27301-2 |
9786613273017 |
1-118-14835-5 |
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Descrizione fisica |
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1 online resource (178 p.) |
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Collana |
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Wiley & SAS business series |
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Classificazione |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Retail Analytics: The Secret Weapon; Contents; Preface; Acknowledgments; Chapter 1: Retailing Analytics: An Introduction; RETAILER GOODWILL; THE INSIDE SCOOP: RETAIL POWER BROKERS; RETAIL ORGANIZATION; Real Estate Marketing; Creative Advertising Marketing; Operations Marketing (Research); Direct Marketing; Strategic Marketing; COMMUNICATING TO THE RETAIL ORGANIZATION; POINT OF SALE VERSUS MARKET BASKET DATA; DATA IS GOLD; DATA AS REVENUE: THE PRICE OF RETAIL DATA; Chapter 2: Retail and Data Analytics; HARD-CORE DATA TERMS: NOW WE'RE TALKING ABOUT THE FUN STUFF; MARKET BASKET; DATA STORAGE 101 |
DATA WITHOUT USE IS OVERHEADCASE STUDIES AND PRACTICAL EXAMPLES OF DATA-RELATED RETAIL PROJECTS; Trade Area Modeling; Real Estate Site Selection Modeling; Competitor Threat Analytics; Merchandise Mix Modeling: Combining Multiple Data Sources; CELEBRITY MARKETING: TRACKING EFFECTIVENESS; HOUSE BRAND VERSUS NAME BRAND; E-BUSINESS: CLICKS AND MORTAR; AFFINITY MERCHANDISING: MERCHANDISE CROSS-SELL CASE STUDY; MARKET BASKET ANALYSIS: EXAMPLES; STORE DEPARTMENTAL CROSS-SELLING; Single Category Affinity Analysis: Paper Towels; Best Checkout Register |
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Impulse Items for Christmas Season: Case Study |
Chapter 3: The Apparel IndustryMANY TYPES OF APPAREL BUSINESSES; RETAILER BUILDING AND LOCATION, LOCATION, LOCATION; WHO IS MY CUSTOMER? SIZE UP THE OPPORTUNITY AND SHOW ME THE MONEY!; EVOLUTION OF A BRAND: NOT YOUR FATHER'S BLUE JEANS; DIVERSIFICATION: SPREAD RISKS OVER MULTIPLE BUSINESSES; CRITICAL, NEED-TO-KNOW INFORMATION IN APPAREL ANALYTICS; Seasonality: Styles Change like the Wind; Seasonal Counterpoint; Merchandise Placement and Presentation: From Racks to Riches; Accessories; Next Best Offers; Promotions: Lifeblood of the Apparel Business; RETAIL IN GENERAL: IMPULSE BUYING |
Chapter 4: Importance of Geography and DemographicsUNDERSTANDING THE TOOLS AND THE DATA REQUIREMENTS; How Geographic Information Systems Work: Science behind the Tools; GIS Layers of Information: Building a Map, Layer by Layer; HOW GEOGRAPHY FITS INTO RETAIL: LOCATION, LOCATION, LOCATION!; Retail Geography: Data and Lots of It; Retail Data: Internal Data Collection; Retail Trade Areas: Differing Methods for Debate; Zip Code Data: Forecasting Application Volume by Store; NOW THAT WE UNDERSTAND THE TOOL AND THE DATA, WHAT DO WE DO?; Card Preference Opportunity by Zip Code: Case Study |
Example of Sales Penetration MapMARKET OBSERVATIONS: ADDITIONAL USES OF THE GIS TOOL; Chapter 5: In-Store Marketing and Presentation; UNDERSTANDING THE DIFFERENT STORE DESIGNS; Old Theories of Merchandise Placement; New Theories of Merchandise Placement; Mass Merchandisers Were Slow to Catch On: Does Convenience Translate into Sales?; ALL ABOUT PRICING; Everyday Low Price; Loyalty Discount Philosophies; Tiered Pricing; TYPES AND SIZES: RETAIL STORE STRATEGIES; Store in a Store: Make Shopping Convenient; What's in a Store: Convenience Stores to Hypermart Stores |
Hypermarts: When Is Big Too Big? |
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Sommario/riassunto |
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The inside scoop on boosting sales through spot-on analytics Retailers collect a huge amount of data, but don't know what to do with it. Retail Analytics 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.Helps retailers and analyst |
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