Artificial Intelligence Marketing and Predicting Consumer Choice: An Overview of Tools and Techniques

The ability to predict consumer choice is a fundamental aspect to success for any business. In the context of artificial intelligence marketing, there are a wide array of predictive analytic techniques available to achieve this purpose, each with its own unique advantages and disadvantages. Artificial Intelligence Marketing and Predicting Consumer Choice serves to integrate these widely disparate approaches, and show the strengths, weaknesses, and best applications of each. It provides a bridge between the person who must apply or learn these problem-solving methods and the community of experts who do the actual analysis. It is also a practical and accessible guide to the many remarkable advances that have been recently made in this fascinating field. Online resources include bonus chapters on AI, ensembles and neural nets, and finishing experiments, plus single and multiple product simulators.

Table of Contents

Chapter 01 Who Should Read This Book And Why?
Chapter 02 Getting The Project Going
Chapter 03 Conjoint, Discrete Choice And Other Trade-Offs: Let’S Do An Experiment
Chapter 04 Creating The Best, Newest Thing: Discrete Choice Modelling
Chapter 05 Conjoint Analysis And Its Uses
Chapter 06 Predictive Models: Via Classifications That Grow On Trees
Chapter 07 Remarkable Predictive Models With Bayes Nets
Chapter 08 Putting It Together: What To Use When