Optimal database marketing strategy, development, and data mining

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1. Verfasser: Drozdenko, Ronald G. (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Thousand Oaks u.a. Sage Pub. 2002
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Datensatz im Suchindex

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adam_text Contents Preface xv Supplemental Material xvii Acknowledgments xix Foreword xxi 1. Introduction to Database Marketing Concepts 1 What Is a Marketing Database? 3 Trends Leading to the Use of Databases in Marketing 4 Market Segmentation 5 Emphasis on Service and CRM 6 Changes in Media 7 Changes in Distribution Structure and Power 8 Lifestyle and Demographic Trends 9 Accountability for Marketing Actions 10 Integration of Business Functions 11 Technological Advances 11 More Informed Customers 12 Database Marketing Versus Aggregate Marketing 13 Advantages of Database Marketing 15 Disadvantages of Database Marketing 16 Cost Issues 16 Global Markets 17 Competition From Traditional Retailer 17 Negative Perceptions 18 Framework for This Book 18 Chapter Summary 19 Review Questions 19 2. Stategic Database Development in the Marketing Planning Process 21 Computerized Databases 23 Customer Databases Versus Other Marketing Databases 24 The Need for Strategie Planning 25 Developing a Systematic Plan for Using Marketing Databases 26 The Marketing Planning Process and Database Implementation 27 Situational Analysis 28 Establishing Marketing Objectives 29 Strategy Development 30 Strategy Development, Targeting, and Product Positioning 32 Marketing Programs 33 Distribution 34 Promotion 34 Price 35 Product 35 Monitor and Control 36 Databases and the Planning Process 36 Chapter Summary 37 Review Questions 38 3. Defining Customer Data Requirements 39 Data Needs Determination 40 Fulfillment, Marketing, and Prospecting Databases 41 Data Residing on the Marketing Database 41 Internal or House Data 41 Fulfillment Data 43 Marketing Data 43 Customer Contact Data 44 External or Enhancement Data 45 Compiled List Data 45 Census Data 47 Modeled Data 49 Lists Versus Data 49 Applying and Using Enhancement Data 51 Chapter Summary 53 Review Questions 53 4. Database Maintenance and Coding 55 Standard Database Maintenance Routines 56 Deduping the Customer File 57 Householding the Customer File 58 Purging Old Customer Records 59 Changing Contact Information 59 Standardizing Addresses 61 Removing Names From Databases at Consumer Request 61 Identifying Customers With Match Coding 62 Merge/Purge Processing 64 Coding Source and Promotional Offers 65 Salting Files and Decoy Records 66 Identifying Credit Risks and Frauds 67 Field Updating Rules 67 Reporting Summary/Aggregate Level Information 68 Database Storage and Security 70 Database Maintenance Schedules 72 Some Technical Aspects of Database Maintenance 73 Chapter Summary 73 Review Questions 73 5. Basic Database Technology, Organizational Considerations, and Database Planning 75 Computer Hardware and Software 77 Database Hardware 78 Midrange Computers 79 PCs 79 Hardware Decision Factors 80 Database Software 80 Database System Organization 83 Structured Databases 83 Relational Databases 85 Comparison of Structured and Relational Databases 85 Structured Query Language (SQL) and Data Analysis 85 Organizational Considerations in Technical Database Design 86 Outsourcing: The Process to Select a Database Provider 88 Phases of Database Development 91 Comments on Technological Development of the Database 92 Chapter Summary 93 Review Questions 93 6. The Analysis Sample 95 How We Sample 96 Representative Samples 96 Random Samples 97 Sample Usage . 97 Creation of the Analysis Sample 98 Methods of Saving Point in Time Sample Data 100 Analysis and Validation Samples 101 Application of Analysis Findings 101 Chapter Summary 101 Review Questions 102 7. Analyzing and Manipulating Customer Data 103 Getting to Know Your Data 104 The Analysis 105 Univariate Tabulations 106 Cross Tabulations 111 Logic Counter Variables 113 Ratio Variables 116 Longitudinal Variables 117 Time Alignment of Key Events 119 Reducing the Amount of Customer Data to a Manageable Set via Correlation Analysis 120 Statistical Background—Correlation Analysis 123 Chapter Summary 127 Review Questions 128 Notes 128 8. Segmenting the Customer Database 129 Defining Your Segmentation Objective 130 Segmentation Schemes 134 Segmentation for Promotional Product Offerings 134 Corporate Level Segmentation 134 Product Line Specific Segmentation 135 Segmentation for Life Stage Marketing and Research 136 Segmentation Techniques 138 Univariate and Cross Tabulation Analysis 138 Formal RFM Analysis 145 CHAID Analysis 148 Factor and Cluster Analysis 153 Factor Analysis 153 Cluster Analysis 158 Issues to Consider Regarding Segmentation Implementation 163 Promotional Intensity 163 Too Many Products 164 Cannibalism 164 Overgeneralization 165 Ethical and Public Policy Issues 165 Chapter Summary 166 Review Questions 166 Note 167 9. An Introduction to Simple Linear Regression Modeling 169 The Simple Linear Regression Model 170 The Coefficient of Determination 174 Statistical Background—Simple Linear Regression Analysis 176 Chapter Summary 179 Review Questions 179 10. Multiple Regression Modeling 181 Defining Your Marketing Objective 182 Preparing the Data to Build the Multiple Regression Model 184 The Multiple Regression Model 187 Model Interpretation 187 Assumptions of the Model 192 Multicollinearity 192 Other Properties 193 A Note on Modeling Binary Response Data 193 Regression Diagnostics 194 Examining the Model for Indications of Multicollinearity 195 Examining the Model for Variable Significance 197 Multiple Logistic Regression Models 199 Sample Composition 200 Outside List Modeling Options 201 Response Models 202 Clone or Best Customer Models 202 Stepwise Regression Models 205 Neural Networks 206 Data Mining, Tools, and Software 207 Ensuring That Your Model Holds Up in Rollout 213 Chapter Summary 215 Review Questions 215 Notes 216 11. Gains Charts and Expected Profit Calculations 217 The Response Gains Chart 218 Options When Lacking Validation Samples 223 Historical Gains Falloff Chart 223 Bootstrapping 225 Expected Profit Calculations 226 Reconciling Gains 231 Chapter Summary 233 Review Questions 233 12. Strategic Reporting and Analysis 235 Key Active Customer Counts 236 List Vitality Customer Statistics 238 Key List Segment Counts and Statistics 238 Calculating LTV 239 LTV Methodologies 240 LTV Profiles 241 Actual and Aggregate LTV Calculations 243 Calculating the Discount Rate and NPV 244 Sample Types Used in LTV Calculations 247 Forecasting LTV 248 Impact Studies 248 Monitoring Promotional Intensity 249 Chapter Summary 250 Review Questions 250 13. Assessing Marketing Test Results 251 Confidence Interval Calculations 252 Confidence Interval Estimation for a Sample Mean 253 Confidence Interval Estimation for a Sample Proportion 256 Confidence Interval Estimation for the Difference Between Two Sample Means 258 Confidence Interval Estimation for the Difference Between Two Sample Proportions 260 Setting the Confidence Level 263 Single Sample Measures 264 Difference Between Two Sample Measures 264 Making a Business Decision Based on the Confidence Interval 266 Single Sample Measures 266 Difference Between Two Sample Measures 267 Hypothesis Tests for Significance 268 Establishing the Hypothesis 269 Setting the Error Rate of the Hypothesis Test 269 Establishing the Direction of the Hypothesis Test 270 Hypothesis Test for the Difference Between Two SampleMeans 270 Hypothesis Test for the Difference Between Two Sample Proportions 275 Setting the Confidence Level of Hypothesis Tests for Significance 279 Making a Business Decision Based on Hypothesis Tests for Significance 279 P Value of the Hypothesis Test for Significance 279 Conducting Hypothesis Tests for Significance Using Confidence Intervals 280 Gross Versus Net 281 Multiple Comparisons 281 Calculating Breakeven 282 Response Rate Required to Break Even 283 Increase in Response Rate Required to Break Even 283 Facts Regarding Confidence Intervals and Hypothesis Test Results 284 Marketing Test Analysis Software 285 Chapter Summary 285 Review Questions 286 14. Planning and Designing Marketing Tests 287 Marketing Test Design Considerations 288 Rule 1: For Mailers, Include the Control Package in the Test Plan 288 Rule 2: Reverse Test Package Changes 288 Rule 3: Test One Change at a Time 289 Rule 4: Test for Only Meaningful Package Element Interactions 290 Rule 5: Define the Universe for Testing Carefully 291 Outside List Test Design Considerations 292 Sample Size Considerations 294 Sample Size Determination for a Sample Mean 295 Sample Size Determination for a Sample Proportion 298 Sample Size Determination for the Difference Between Two Sample Proportions 301 Marketing Test Planning Software 304 Alternative Testing Approaches for Small Direct Marketers 304 Chapter Summary 308 Review Questions 308 15. Marketing Databases and the Internet 309 Data base Integration 310 Growth in Internet Commerce 312 The Internet Versus Other Database Marketing Media 314 Limitations of Internet Marketing 317 Personalization: The Great Promise of the Internet 319 E Mail Marketing 321 E Mail Applications 321 E Mail Formats 322 Chapter Summary 324 Review Questions 325 16. Analyzing and Targeting Online Customers 327 Data Collected via the Internet 327 Registration Data 328 Behavior Data 330 Source Data 332 Understanding Internet Users and Online Buyers 332 Web Site Reporting 334 Driving Customers to Your Web Site 337 Targeting Online Customers 341 Conducting Marketing Tests in the E Commerce World 345 Banner Ads 345 E Mail 347 Chapter Summary 348 Review Questions 348 17. Issues in the Marketing Environment and Future Trends in Marketing Databases 349 The Global Business Environment 351 Social Concerns and Ethics in Database Marketing 357 Industry Organizations 360 Evolution and Trends in Database Marketing 362 Consumer Databases and the Internet 362 B to B Databases 364 Not for Profit Databases 364 Retailer Databases 365 Service Organization Databases 365 Chapter Summary 366 Review Questions 366 Glossary 369 Additional Readings in Database and Direct Marketing 381 References 383 Name Index 387 Subject Index 389 About the Authors 397
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spellingShingle Drozdenko, Ronald G.
Optimal database marketing strategy, development, and data mining
Bases de données - Marketing
Commerce électronique
Databanken gtt
E-commerce gtt
Marketing gtt
Marketing larpcal
Database marketing
Electronic commerce
Database-Marketing (DE-588)4263308-4 gnd
subject_GND (DE-588)4263308-4
title Optimal database marketing strategy, development, and data mining
title_auth Optimal database marketing strategy, development, and data mining
title_exact_search Optimal database marketing strategy, development, and data mining
title_full Optimal database marketing strategy, development, and data mining Ronald G. Drozdenko ; Perry D. Drake
title_fullStr Optimal database marketing strategy, development, and data mining Ronald G. Drozdenko ; Perry D. Drake
title_full_unstemmed Optimal database marketing strategy, development, and data mining Ronald G. Drozdenko ; Perry D. Drake
title_short Optimal database marketing
title_sort optimal database marketing strategy development and data mining
title_sub strategy, development, and data mining
topic Bases de données - Marketing
Commerce électronique
Databanken gtt
E-commerce gtt
Marketing gtt
Marketing larpcal
Database marketing
Electronic commerce
Database-Marketing (DE-588)4263308-4 gnd
topic_facet Bases de données - Marketing
Commerce électronique
Databanken
E-commerce
Marketing
Database marketing
Electronic commerce
Database-Marketing
url http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009909220&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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