If the only tool you have is a hammer, you tend to see every problem
as a nail.
Abraham Maslow, 1966
DCM - Discrete Choice Modeling
|Discrete choice modeling has broad uses in marketing research applications
due to its potential to get insight into the perceptions and behavior of customers. The most distinctive
advantages of choice-based methods can be summarized as follows:
- Choice is a natural manifestation of human behavior.
- Choice is an action, in contrast to a statement.
- Choice imposes minimal constraints on the response.
- Choice is scale-free.
- Choice is non-verbal.
- Choices are less culturally, conventionally or habitually dependent than ratings or statements.
- Overstatements or understatements are suppressed.
The general belief is choice-based models can give results much closer to real behavior than ratings based
models. However, a choice is less informative than a stated value. More choice data must be collected to obtain an
equivalent amount of information. Models for discrete events quite differ from models for metric values and imply
different limitations. Results have often a format different from that known from traditional metric approaches.
This all leads to uneasiness in marketing project managers who plan marketing research surveys and apply the
The objective of these web pages is to provide end-users of marketing research with an overview of selected
DCM-related methods, to encourage exploitation of the methods, and to bridge the gap between the academic and
commercial approaches to the subject.
|The following aspects of DCM are dealt with.
- Basic assumptions, conditions, properties and prospects.
- Pros and cons of various approaches.
- Topics concerning applications.
- Understanding and use of selected types of results.
The described methods make part of the services offered by the g82, s.r.o., a Czech based marketing research and
The most popular methods thriving on DCM are variants of choice based conjoint that have displaced metric
conjoint methods to a large extent. If you would like to get acquainted with the basics of goals and uses of
conjoint analysis you might wish to see a lightweight white-boarding video (5'36'') from Sawtooth Software on
- Instead of a summary of subjective statements, the importance of image attributes can be derived
from the purchase behavior using the standard image questionnaire data and the analytical model of conjoint
value analysis. An example is presented.
- Handling of the "None" constant
alternative in a preference share simulator of substitutables using a simplified two-level nested logit.
- A MaxDiff-based method to estimate preferences between product concepts and the concept aspects has been
developed. The method can handle a higher number of attributes than a CBC. A description,
some results, and a live demo questionnaire
- Question for Ranked Grid
Analysis (RGA) is designed as a two-dimensional check-box grid with ranking. Ranking is possible in either
horizontal or vertical or both dimensions. Any number of exclusive choices can be added. Examples of estimated
brand and feature profiles from two market research studies show ranking leads to higher sensitivity and
discrimination between brand-feature combinations. Link to a demo questionnaire is available.
- How many CBC tasks should be asked? Two
easy rules of thumb and one based on the information entropy are presented.
- Estimation of a possible
cannibalization maximum using CBC. The multinomial model is extended with a nest containing items involved
in cannibalization and set as perfectly correlated.
- A relaxed
non-compensatory modeling and simulation has been introduced as a compromise between fully
non-compensatory and compensatory models. An Excel-based choice simulator with three simulation models is
available as download.
Trial and Repeat Dissipation simulator has been made public. Besides the Excel-based sales simulator, the
download includes an enlightening .pdf file.
- An example of a
non-compensatory modeling and preference simulation, based on estimation of thresholds of acceptability of
- A simple comparative example of obtaining preference and acceptability for
- A standalone example of clustering based on relative perceptions obtained by ranking
choices with ties from a large scale question battery.
- A method for DCM analysis of ranked
choices with ties, typically from Q-sort exercises or large scale question batteries.
- An example of stated and evoked perceptions of
attribute levels obtained by CSDCA method.
Scale Discrete Choice Analysis has been amended with estimation of perceptual thresholds and a way to
encompass larger number of attributes.
- OBIMA - Object Image
Analysis, a DCM-based solution, has been introduced. Results from a test of four consumer electronics
brands (Apple, Lenovo, Samsung and Sony) are presented. A live updated version of the questionnaire in English is available.
- Based on latest experience the page on Common
Scale Discrete Choice Analysis and live questionnaire demo have been updated.
- DCM Blog Cz with anonymous acces for DCM sympathizers speaking Czech has
- An optimal consideration set at the time of making decision
consists of 3 alternatives. A proof is given.
- DCM Portfolio Optimization algorithm has been enhanced to
obtain a persuasive subset of items by taking account of the confusion due to a too wide range of offers (aka
"tyranny of choice").
- Overview of the Common
Scale Discrete Choice Analysis allowing comparison of level preferences across attributes. A live questionnaire demo is
- Example of Elasticity
of Substitution used as generalized importance of quantitative CBC attributes.
- A robust CBC based estimation method of an Optimal Competitive
- A live demo of a parametric CBC for a
bank loan study.
Any findings or conclusions expressed on these pages are solely the opinion of the author and may not
be necessarily shared by the marketing research company g82, s.r.o.