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What is Marketing Engineering

on . Posted in Products

Principles cover 170406 200x285Several forces are transforming the nature, scope, and structure of the marketing profession. Marketers are seeing increasingly faster changes in the marketplace and are barraged with an ever increasing amount of information. While many view traditional marketing as art and some view it as science, the new marketing increasingly looks like engineering. "Marketing Engineering" is a term coined by Professor Gary Lilien, one of the founders of DecisionPro, Inc, to describe this new marketing philosophy.

DecisionPro, Inc. has developed a series of books and software products to further the field of analytical marketing. These books, combined with a comprehensive collection of leading-edge software models provides the know-how and tools to collect the right information and perform analysis to make better marketing plans, better product designs, and better decisions.

The purpose in writing these books is to help educate and train a new generation of marketing managers. Our goal is to train marketing engineers to translate concepts into context-specific operational decisions and actions using analytical, quantitative, and computer modeling techniques. We link theory to practice and practice to theory.

The models included in the Marketing Engineering software package include:

Bass Forecasting
The Bass diffusion model is used to forecast the sales of a new product or service that has no close competitors. Learn More...
Conjoint
The Conjoint Analysis model is a procedure for measuring, analyzing, and predicting customers' responses to new products and to new features of existing products. Learn More...
Customer Choice
The Customer Choice (Logit) model is an individual-level response model that helps to analyze and explain the choices individual customers make in the market. Learn More
Customer Lifetime Value
Customer Lifetime Value (CLV) is a metric of a customer's value to the organization over the entire history of the relationship. Learn More...
GE/McKinsey Portfolio Matrix
The GE Portfolio approach evaluates a business on the basis of two composite dimensions: industry attractiveness and business strength. Learn More...
Positioning / Perceptual Mapping
Perceptual-mapping helps firms to understand how customers view their product(s) relative to competitive products. Learn More...
Resource Allocation
Resource Allocation helps optimize resource sizing and resource allocations across segments, products, channels, etc. Learn More...
Segmentation and Targeting
Segmentation is the process of classifying customers into homogenous groups (segments) such that each group of customers shares enough characteristics in common to make it viable for the firm to design specific offerings or products for selected segments. Learn More...
  • Marketing Engineering is a highly innovative book that brings science to the managerial intuition of marketing decision-making. The user-friendly and non-intimidating software tools and cases allow the user to focus on the decision-making process and its outcomes without having to deal directly with complex mathematical models. This book indeed leads the practice of marketing science to the 21st century.
    Professor Vijay Mahajan University of Texas at Austin
  • 1

Principles of Marketing Engineering and Analytics 3rd Edition (9780985764821)

on . Posted in Books

Principles cover 170406 200x285

 

Authors: Gary L. Lilien, Arvind Rangaswamy, and Arnaud De Bruyn
Publisher: DecisionPro, Inc. (2017)
ISBN-10: 0985764821
ISBN-13: 978-0985764821

Available in select countries via Amazon (print and Kindle edition) and Google Play store (ebook)

Printed Edition from Amazon    Kindle Edition from Amazon    Ebook Edition from Google Play

The 21st century business environment demands more analysis and rigor in marketing decision making. Increasingly, marketing decision making resembles design engineering—putting together concepts, data, analyses, and simulations to learn about the marketplace and to design effective marketing plans. While many view traditional marketing as art and some view it as science, the new marketing increasingly looks like engineering (that is, combining art and science to solve specific problems).

We offer an accessible overview of the most widely used marketing engineering concepts and tools and show how they drive the collection of the right data and information to perform the right analyses to make better marketing plans, better product designs, and better marketing decisions.

We have designed this book primarily for the business school student or marketing manager, who, with minimal background and technical training, must understand and employ the basic tools and models associated with Marketing Engineering.

The interested reader can go beyond the conceptual material in this book and learn how to apply these concepts using the Microsoft Excel-based software tools. That material, in concert with the descriptions here will both inform and help marketing engineers translate concepts into context-specific operational decisions and actions.

Technical Notes: The Technical Notes are designed as an additional reference to the Principles of Marketing Engineering. The Notes provide the analytical background behind the theories discussed in the text. These notes are available for free download on the website.

Subject Areas

The Principles of Marketing Engineering includes the following topics:
  • Market Response Models
  • Customer Value Assessment and Valuing Customers
  • Segmentation and Targeting
  • Positioning Analysis
  • Forecasting
  • New Product and Service Design
  • Digital Marketing
  • The Marketing Mix