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Index
About This eBook
Title Page
Copyright Page
Contents
Preface
Figures
Tables
Exhibits
1. Understanding Markets
2. Predicting Consumer Choice
3. Targeting Current Customers
4. Finding New Customers
5. Retaining Customers
6. Positioning Products
7. Developing New Products
8. Promoting Products
9. Recommending Products
10. Assessing Brands and Prices
11. Utilizing Social Networks
12. Watching Competitors
13. Predicting Sales
14. Redefining Marketing Research
A. Data Science Methods
A.1 Database Systems and Data Preparation
A.2 Classical and Bayesian Statistics
A.3 Regression and Classification
A.4 Data Mining and Machine Learning
A.5 Data Visualization
A.6 Text and Sentiment Analysis
A.7 Time Series and Market Response Models
B. Marketing Data Sources
B.1 Measurement Theory
B.2 Levels of Measurement
B.3 Sampling
B.4 Marketing Databases
B.5 World Wide Web
B.6 Social Media
B.7 Surveys
B.8 Experiments
B.9 Interviews
B.10 Focus Groups
B.11 Field Research
C. Case Studies
C.1 AT&T Choice Study
C.2 Anonymous Microsoft Web Data
C.3 Bank Marketing Study
C.4 Boston Housing Study
C.5 Computer Choice Study
C.6 DriveTime Sedans
C.7 Lydia E. Pinkham Medicine Company
C.8 Procter & Gamble Laundry Soaps
C.9 Return of the Bobbleheads
C.10 Studenmund’s Restaurants
C.11 Sydney Transportation Study
C.12 ToutBay Begins Again
C.13 Two Month’s Salary
C.14 Wisconsin Dells
C.15 Wisconsin Lottery Sales
C.16 Wikipedia Votes
D. Code and Utilities
Bibliography
Index
Code Snippets
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