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Marketing Analytics: Data-Driven Techniques with Microsoft Excel

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Table Of Contents

Chapter 1: Slicing and Dicing Marketing Data with PivotTables

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 2: Using Excel Charts to Summarize Marketing Data

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 3: Using Excel Functions to Summarize Marketing Data

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 4: Estimating Demand Curves and Using Solver to Optimize Price

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 5: Price Bundling

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 6: Nonlinear Pricing

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 7: Price Skimming and Sales

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 8: Revenue Management

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 9: Simple Linear Regression and Correlation

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 10: Using Multiple Regression to Forecast Sales

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 11: Forecasting in the Presence of Special Events

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 12: Modeling Trend and Seasonality

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 13: Ratio to Moving Average Forecasting Method

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 14: Winter�s Method

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 15: Using Neural Networks to Forecast Sales

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 16: Conjoint Analysis

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 17: Logistic Regression

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 18: Discrete Choice Analysis

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 19: Calculating Lifetime Customer Value

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 20: Using Customer Value to Value a Business

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 21: Customer Value, Monte Carlo Simulation, and Marketing Decision Making

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 22: Allocating Marketing Resources between Customer Acquisition and Retention

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 23: Cluster Analysis

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 24: Collaborative Filtering

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 25: Using Classification Trees for Segmentation

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 26: Using S Curves to Forecast Sales of a New Product

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 27: The Bass Diffusion Model

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 28: Using the Copernican Principle to Predict Duration of Future Sales

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 29: Market Basket Analysis and Lift

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 30: RFM Analysis and Optimizing Direct Mail Campaigns

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 31: Using the SCAN*PRO Model and Its Variants

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 32: Allocating Retail Space and Sales Resources

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 33: Forecasting Sales from Few Data Points

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 34: Measuring the Effectiveness of Advertising

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 35: Media Selection Models

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 36: Pay per Click (PPC) Online Advertising

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 37: Principal Components Analysis (PCA)

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 38: Multidimensional Scaling (MDS)

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 39: Classification Algorithms: Naive Bayes Classifier and Discriminant Analysis

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 40: Analysis of Variance: One-way ANOVA

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 41: Analysis of Variance: Two-way ANOVA

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 42: Networks

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 43: The Mathematics Behind The Tipping Point

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 44: Viral Marketing

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

Chapter 45: Text Mining

Exercise Solutions (requires WinZip or equivalent software)
Excel Files (requires WinZip or equivalent software)

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