Market Research.

Market research is used to figure out how things work. This is often by systematically gathering data about people or companies using surveys.

Here, we write about the main market research techniques. These techniques include correspondence analysis, MaxDiff, and choice modeling. We also share tips and tricks for significance testing. And how to best present market research findings using PowerPoint and online dashboards (often considered a better alternative to PowerPoint) are explored.

Using Displayr
Case Study: Updating Reporting
04 December 2017 | by Tim Bock

This is the sixth in a series of blog posts designed as a DIY training course for using Displayr. It illustrates how to update analyses and reporting…

Continue reading

NPS column chart with sparklines
Using Sparklines to Show Trends in Bar and Column Charts
09 November 2017 | by Tim Bock

Using sparklines in charts with multiple series of data improves readability by showing where are we today, movement since last time and long-term trend.

Continue reading

Comparing Tricked Logit and Rank-Ordered Logit with Ties for MaxDiff
17 October 2017 | by Justin Yap

This article compares two ways to analyze Max Diff data - Tricked Logit and Rank-Ordered Logit with Ties - for latent class analysis or Hierarchical Bayes

Continue reading

Great looking dashboard
Create and Update PowerPoint Reports using R
31 August 2017 | by Tim Bock

An introduction to three tools that make creating and updating PowerPoint reports using R much more efficient and less painful.

Continue reading

Choice Simulator
How to Create an Online Choice Simulator
22 August 2017 | by Tim Bock

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.

Continue reading

Adding Supplementary Points to a Correspondence Analysis
17 August 2017 | by Jake Hoare

Supplementary points of data can be added to a "core" correspondence analysis to aid interpretation without influencing the placement of core data.

Continue reading

Moonplot to show brand mapping from a correspondence analysis
Moonplots: A Better Visualization for Brand Maps
15 August 2017 | by Tim Bock

Correspondence analysis outputs are difficult to read correctly. Moonplots are a better alternative to brand maps because they are much easier to interpret.

Continue reading

MaxDiff analysis example
MaxDiff: 11 Tips to Do Your Own Analysis
03 August 2017 | by Tim Bock

MaxDiff analysis is an advanced technique that can be run by any good quant researcher. Here are 11 tips to help people relatively new to the field DIY.

Continue reading

experimental design
How to Check an Experimental Design (MaxDiff, Choice Modeling)
25 July 2017 | by Tim Bock

Experimental designs can be scary. Small mistakes ruin everything. I explain the process I use when doing a rough-and-ready check of an experimental design.

Continue reading

Correspondence Analysis for brand switching
Correspondence Analysis of Square Tables
25 July 2017 | by Jake Hoare

In this post I discuss the special case of Correspondence Analysis with square tables. Such tables often arise in the context of brand switching.

Continue reading

Put PowerPoint into Cruise Control: How to Automatically Update Your Reports
14 July 2017 | by Matt Steele

An exploration of what processes can be automated in PowerPoint, and how different analysis software packages leverage this.

Continue reading

correspondence analysis
Using Bubble Charts to Show Significant Relationships and Residuals in Correspondence Analysis
08 July 2017 | by Tim Bock

While correspondence analysis does a great job at highlighting relationships in large tables, a practical problem is that correspondence analysis only shows

Continue reading

Traditional Crosstab
Old-School Crosstabs: Obsolete Since 1990, but Still a Great Way to Waste Time and Reduce Quality
27 June 2017 | by Tim Bock

The table above is what I call an old-school crosstab. If you squint, and have seen one of these before, then you can probably read it.

Continue reading

statistical significance trick
The Magic Trick that Highlights Interesting Results on Any Table
12 June 2017 | by Tim Bock

This post describes the single biggest time saving technique that I know about for highlighting significant results on a table. That is just one table that show...

Continue reading

Latent class analysis cross-validation
Using Cross-Validation to Measure MaxDiff Performance
23 May 2017 | by Justin Yap

This post compares various approaches to analyzing MaxDiff data using a method known as cross-validation. Before you read this post, make sure you first read How MaxDiff…

Continue reading

max-diff-preferences
How to Analyze MaxDiff Data in R
23 May 2017 | by Chris Facer

This post discusses a number of options that are available in R for analyzing data from MaxDiff experiments, using the package flipMaxDiff. For a more detailed…

Continue reading

Using Displayr
How to Analyze MaxDiff Data in Displayr
23 May 2017 | by Chris Facer

This post discusses a number of options that are available in Displayr for analyzing data from MaxDiff experiments. For a more detailed explanation of how to analyze…

Continue reading

Keep updated with the latest in data science.