Blog.

Introduction Conjoint Analysis: The Basics Main Applications of Conjoint Analysis Webinar: Introduction to Conjoint   Design Experimental Design for Conjoint Analysis: Overview and Examples Writing…

The choice simulator is one of the main objectives of choice-based conjoint analysis. This allows you to predict the effect of different scenarios on preference…

There are many survey platforms that do not come with their own built-in choice-based conjoint question type. This then poses the question of how to…

This one is a bit more complicated than the first five techniques we’ve talked about, but the idea of this technique is to find people’s…

The value equivalence line is a useful concept for setting pricing strategies in markets where products vary in terms of their overall levels of benefits…

This post explains the basics of computing willingness-to-pay (WTP) for product features in Displayr. Step 1: Estimate a choice model with a numeric price attribute…

It shows how likely people are to make purchases at different price points. There are lots of different ways of estimating demand curves. In this…

Reordering attribute levels in a conjoint analysis model can make results easier to interpret. For example, setting a standard option as the baseline in your co...

In practical terms, the sample size is reduced in proportion to the frequency with which the “None of these” option is chosen. A way to…

Conjoint analysis allows us to make predictions about the future. This post walks through the 7 stages involved in checking a choice model.

In this post, I compare the ways Displayr and Sawtooth implement the Hierarchical Bayes (HB). I used both an in-sample data and holdout data for testing.

Creating the simulator Create a choice model of the conjoint using hierarchical Bayes (HB), latent class analysis or Multinomial logit in Displayr (Insert > More…

This post describes four methods for adjusting choice simulators from conjoint studies so that they better fit market share: change the choice rule, modify availability,…

Choosing whether to use a numeric or categorical variable in a Conjoint Analysis is a difficult decision to make. With Displayr, there is a straightfoward way t...

Example: choice-based conjoint analysis utilities Consider the utilities plot below, which quantifies the appeal of different aspects of home delivery. If you hover over the mouse plot…

Step 1: Set up and estimate the choice model treating all the variables as categorical Start by setting up the choice model keeping all the…

The difference between a numeric and categorical price attribute The chart below illustrates the the implications of treating price as being categorical versus numeric. When…

Please read How to Use Hierarchical Bayes for Choice Modeling in Displayr prior to reading this post. There are a number of diagnostic tools that you…

Analyses of the data from conjoint analysis should take into account the uncertainty that we have about the estimates of people's utilities.

There are many ways you can increase the chance that the forecasts from your choice model are accurate. In this post, we take you through 12 of them.

This post introduces the key concepts in designing experiments for choice-based conjoint analysis (also known as choice modeling or CBC).

While choice-based conjoint analysis represents one of the more sophisticated techniques used in market research, presentation of its results commonly consists only of a simulator,…

The main output from conjoint analysis is typically a choice simulator. However, substitution maps better show the underlying preferences.

Indifference curves are a way of showing relative preferences for quantities of two things (e.g., preferences for price versus delivery times for fast food). This…

Working out the sample size required for a choice-based conjoint study is a mixture of art and science. The required sample size depends on many factors.

This post gives you ten top tips for writing your questionnaire for your choice modeling study. It's a must read for all those conducting choice-based conjoint....

Want to know when and why you would do choice modeling? Discover all about the main applications of choice modeling and choice-based conjoint here!

Choice modeling can be tricky. Luckily we've covered the basics so you can learn everything choice modeling and choice-based conjoint analysis.

Alternative-specific choice model designs are used where alternatives are described by different qualities, rather than all attributes being the same.

You can use either hierarchical Bayes or latent class analysis to do choice modelling in Displayr, making it easy to create your designs.

Running a survey can be time-consuming and costly. Check your choice model experiment design using simulated data to save yourself the expense.

The Efficient algorithm is a special case of the more general Partial Profiles algorithm. It results in faster computation times.

In partial profiles designs, a specified number of attributes are held constant in each question. This reduces the cognitive effort for respondents.

D-error is way of summarizing how good or bad a design is at extracting information in a choice model. Find out how to compute it in Displayr.

D-error summarizes how good a design is at extracting information in a choice experiment. Find out how to compute it fo a Sawtooth Software CBC Experiment.

Alternative-specific choice model designs are used where alternatives are described by different qualities, rather than all attributes being the same.

In this post I explore the implications of using hierarchical Bayes versus using latent class analyis for data which contains segments.

Using Hierarchical Bayes for Choice Modeling doesn't have to be difficult. I'll show you how to do it easily in Displayr.

Assessing design quality in terms of balance can involve hundreds of numbers. What if I showed you a way to use a few key metrics to summarize your design quali...

A worked example is used to show how to create an online choice simulator (conjoint simulator). Calculations are done in R & it is hosted in Displayr.