Description

Book Synopsis
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.

Table of Contents
Preface ix

Acknowledgments xi

Chapter 1 Retailing Analytics: An Introduction 1

Retailer Goodwill 2

The Inside Scoop: Retail Power Brokers 2

Retail Organization 3

Real Estate Marketing 5

Creative Advertising Marketing 6

Operations Marketing (Research) 6

Direct Marketing 7

Strategic Marketing 7

Communicating to the Retail Organization 8

Point of Sale versus Market Basket Data 9

Data Is Gold 10

Data as Revenue: The Price of Retail Data 12

Chapter 2 Retail and Data Analytics 15

Hard-Core Data Terms: Now We’re Talking about the Fun Stuff 15

Market Basket 16

Data Storage 101 17

Data without Use Is Overhead 19

Case Studies and Practical Examples of Data-Related Retail Projects 20

Trade Area Modeling 20

Real Estate Site Selection Modeling 21

Competitor Threat Analytics 22

Merchandise Mix Modeling: Combining Multiple Data Sources 23

Celebrity Marketing: Tracking Effectiveness 26

House Brand versus Name Brand 28

E-Business: Clicks and Mortar 29

Affinity Merchandising: Merchandise Cross-Sell Case Study 33

Market Basket Analysis: Examples 35

Store Departmental Cross-Selling 40

Single Category Affi nity Analysis: Paper Towels 43

Best Checkout Register Impulse Items for Christmas Season: Case Study 45

Chapter 3 The Apparel Industry 47

Many Types of Apparel Businesses 47

Retailer Building and Location, Location, Location 48

Who Is My Customer? Size Up the Opportunity and Show Me the Money! 49

Evolution of a Brand: Not Your Father’s Blue Jeans 50

Diversifi cation: Spread Risks over Multiple Businesses 51

Critical, Need-to-Know Information in Apparel Analytics 52

Seasonality: Styles Change like the Wind 52

Seasonal Counterpoint 54

Merchandise Placement and Presentation: From Racks to Riches 54

Accessories 55

Next Best Offers 55

Promotions: Lifeblood of the Apparel Business 57

Retail in General: Impulse Buying 57

Chapter 4 Importance of Geography and Demographics 59

Understanding the Tools and the Data Requirements 60

How Geographic Information Systems Work: Science behind the Tools 60

GIS Layers of Information: Building a Map, Layer by Layer 61

How Geography Fits into Retail: Location, Location, and Location! 61

Retail Geography: Data and Lots of It 61

Retail Data: Internal Data Collection 63

Retail Trade Areas: Differing Methods for Debate 63

Zip Code Data: Forecasting Application Volume by Store 66

Now That We Understand the Tool and the Data, What Do We Do? 66

Card Preference Opportunity by Zip Code: Case Study 66

Example of Sales Penetration Map 71

Market Observations: Additional Uses of the GIS Tool 72

Chapter 5 In-Store Marketing and Presentation 75

Understanding the Different Store Designs 76

Old Theories of Merchandise Placement 77

New Theories of Merchandise Placement 77

Mass Merchandisers Were Slow to Catch On: Does Convenience Translate into Sales? 78

All about Pricing 78

Everyday Low Price 79

Loyalty Discount Philosophies 82

Tiered Pricing 82

Types and Sizes: Retail Store Strategies 84

Store in a Store: Make Shopping Convenient 84

What’s in a Store: Convenience Stores to Hypermart Stores 85

Hypermarts: When Is Big Too Big? 86

Warehouse Clubs: Paying for the Privilege to Shop 87

Shopping by Design: Traffi c Patterns 88

Category Management: Science behind the Merchandise Mix 91

Merchandise Placement: Strategy behind the Placement 93

Specialty Departments: Coffee, Breakfast, and Pizza 95

Other Specialty Departments 95

Receiving Dock 97

Stocking the Counters 98

In-Store Media: Advertising or Just Displays? 99

Receipt Messages 103

In-Store Events 104

Holidays 104

Analytics: Tracking a Moving Target 104

Marketing Outside of the Store 105

Chapter 6 Store Operations and Retail Data 107

Setting Up the Store for Success: Strategic Uses of Data 107

Labor Forecasting 108

Importance of Accurate Labor Forecasting: The Cost of Doing Business 109

Consumer Differentiation at the Point of Sale Register 111

Heating and Cooling: Centralized Thermostats 112

Intrastore Communication 112

Replenishment and POS Sales: Cause and Effect 114

In-Store Career Path: Stockperson to Store Manager 115

Chapter 7 Loyalty Marketing 117

Loyalty Programs 117

Who Is the Sponsor for the Program? 122

Questions to Answer before You Begin 123

Total Program Incentive: Are You Loyal? 125

From the Consumer Finance Credit Card Retail Perspective 127

Loyalty Segments: Develop Them Early 128

Loyalty at POS: Different Stages and Levels of Loyalty 130

Kmart’s School Spirit Loyalty Program 133

Australian Loyalty 135

FlyBuys Rewards and Loyalty: Australia 136

Additional Loyalty Programs 137

The Retail World Is Changing 138

Social Media 139

Glossary 143

About the Author 157

Index 159

Retail Analytics

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A Hardback by Emmett Cox

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    View other formats and editions of Retail Analytics by Emmett Cox

    Publisher: John Wiley & Sons Inc
    Publication Date: 18/11/2011
    ISBN13: 9781118099841, 978-1118099841
    ISBN10: 1118099842

    Description

    Book Synopsis
    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.

    Table of Contents
    Preface ix

    Acknowledgments xi

    Chapter 1 Retailing Analytics: An Introduction 1

    Retailer Goodwill 2

    The Inside Scoop: Retail Power Brokers 2

    Retail Organization 3

    Real Estate Marketing 5

    Creative Advertising Marketing 6

    Operations Marketing (Research) 6

    Direct Marketing 7

    Strategic Marketing 7

    Communicating to the Retail Organization 8

    Point of Sale versus Market Basket Data 9

    Data Is Gold 10

    Data as Revenue: The Price of Retail Data 12

    Chapter 2 Retail and Data Analytics 15

    Hard-Core Data Terms: Now We’re Talking about the Fun Stuff 15

    Market Basket 16

    Data Storage 101 17

    Data without Use Is Overhead 19

    Case Studies and Practical Examples of Data-Related Retail Projects 20

    Trade Area Modeling 20

    Real Estate Site Selection Modeling 21

    Competitor Threat Analytics 22

    Merchandise Mix Modeling: Combining Multiple Data Sources 23

    Celebrity Marketing: Tracking Effectiveness 26

    House Brand versus Name Brand 28

    E-Business: Clicks and Mortar 29

    Affinity Merchandising: Merchandise Cross-Sell Case Study 33

    Market Basket Analysis: Examples 35

    Store Departmental Cross-Selling 40

    Single Category Affi nity Analysis: Paper Towels 43

    Best Checkout Register Impulse Items for Christmas Season: Case Study 45

    Chapter 3 The Apparel Industry 47

    Many Types of Apparel Businesses 47

    Retailer Building and Location, Location, Location 48

    Who Is My Customer? Size Up the Opportunity and Show Me the Money! 49

    Evolution of a Brand: Not Your Father’s Blue Jeans 50

    Diversifi cation: Spread Risks over Multiple Businesses 51

    Critical, Need-to-Know Information in Apparel Analytics 52

    Seasonality: Styles Change like the Wind 52

    Seasonal Counterpoint 54

    Merchandise Placement and Presentation: From Racks to Riches 54

    Accessories 55

    Next Best Offers 55

    Promotions: Lifeblood of the Apparel Business 57

    Retail in General: Impulse Buying 57

    Chapter 4 Importance of Geography and Demographics 59

    Understanding the Tools and the Data Requirements 60

    How Geographic Information Systems Work: Science behind the Tools 60

    GIS Layers of Information: Building a Map, Layer by Layer 61

    How Geography Fits into Retail: Location, Location, and Location! 61

    Retail Geography: Data and Lots of It 61

    Retail Data: Internal Data Collection 63

    Retail Trade Areas: Differing Methods for Debate 63

    Zip Code Data: Forecasting Application Volume by Store 66

    Now That We Understand the Tool and the Data, What Do We Do? 66

    Card Preference Opportunity by Zip Code: Case Study 66

    Example of Sales Penetration Map 71

    Market Observations: Additional Uses of the GIS Tool 72

    Chapter 5 In-Store Marketing and Presentation 75

    Understanding the Different Store Designs 76

    Old Theories of Merchandise Placement 77

    New Theories of Merchandise Placement 77

    Mass Merchandisers Were Slow to Catch On: Does Convenience Translate into Sales? 78

    All about Pricing 78

    Everyday Low Price 79

    Loyalty Discount Philosophies 82

    Tiered Pricing 82

    Types and Sizes: Retail Store Strategies 84

    Store in a Store: Make Shopping Convenient 84

    What’s in a Store: Convenience Stores to Hypermart Stores 85

    Hypermarts: When Is Big Too Big? 86

    Warehouse Clubs: Paying for the Privilege to Shop 87

    Shopping by Design: Traffi c Patterns 88

    Category Management: Science behind the Merchandise Mix 91

    Merchandise Placement: Strategy behind the Placement 93

    Specialty Departments: Coffee, Breakfast, and Pizza 95

    Other Specialty Departments 95

    Receiving Dock 97

    Stocking the Counters 98

    In-Store Media: Advertising or Just Displays? 99

    Receipt Messages 103

    In-Store Events 104

    Holidays 104

    Analytics: Tracking a Moving Target 104

    Marketing Outside of the Store 105

    Chapter 6 Store Operations and Retail Data 107

    Setting Up the Store for Success: Strategic Uses of Data 107

    Labor Forecasting 108

    Importance of Accurate Labor Forecasting: The Cost of Doing Business 109

    Consumer Differentiation at the Point of Sale Register 111

    Heating and Cooling: Centralized Thermostats 112

    Intrastore Communication 112

    Replenishment and POS Sales: Cause and Effect 114

    In-Store Career Path: Stockperson to Store Manager 115

    Chapter 7 Loyalty Marketing 117

    Loyalty Programs 117

    Who Is the Sponsor for the Program? 122

    Questions to Answer before You Begin 123

    Total Program Incentive: Are You Loyal? 125

    From the Consumer Finance Credit Card Retail Perspective 127

    Loyalty Segments: Develop Them Early 128

    Loyalty at POS: Different Stages and Levels of Loyalty 130

    Kmart’s School Spirit Loyalty Program 133

    Australian Loyalty 135

    FlyBuys Rewards and Loyalty: Australia 136

    Additional Loyalty Programs 137

    The Retail World Is Changing 138

    Social Media 139

    Glossary 143

    About the Author 157

    Index 159

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