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Insights: brand research

How Ricola Accelerated Concept Development for Successful Product Launch

[Insights That Work - Case Study] BuzzBack utilized engaging and interactive techniques via a concept exploratory study and in-home use test to ensure Ricola's new product’s success in market.

Carol Fitzgerald

Correspondence Analysis of Brand Switching and Other Square Tables

Correspondence analysis can be used to visualize a complex table of results as a much simpler chart. This post describes how correspondence analysis works and how to interpret the results.

Jake Hoare

Correspondence Analysis Moonplots: A Better Visualization for Brand Maps

Brand maps show which brands compete with which other brands, but can be difficult to understand. Tim Bock shares an alternative output to brand maps, the moonplot.

Tim Bock

Behavioral Economics: Measuring Social Desirability

People have a tendency to answer questions in a way that allows for a more positive self-reflection. Here’s a method to measure this Social Desirability without the 'self-selection' error.

Michael Lieberman

The Solar System of Social Media

If social media were a solar system, what would it look like? Michael Lieberman uses Network Analysis to create a visualization of the relationships between social media platforms, as an example of how it can make sense of megadatasets.

Michael Lieberman

Making Your Data Hot: Heatmaps for the Display of Large Tables

A heatmap, which replaces the numbers with colors or shades proportional to the numbers in the cell, is a lot easier than a table for our brains to digest.

Tim Bock

Think fast! When facts don’t matter, can connecting on an emotional level work?

Are facts or emotions the best tool in brand messaging? Big Ideas author Lee Carter argues that emotions are essential in messaging to connect with and win over consumers.

Lee Carter

The NPS Recoding Trick: The Smart Way to Compute the Net Promoter Score

The Net Promoter Score is most people's go-to measure for evaluating companies, brands, and business units. However, the standard way of computing the NPS is a bit of a pain.

Tim Bock

Monte Carlo Decisions: Which Cell Phone Plan is Really the Most Cost Effective?

Monte Carlo simulations are useful in common research applications, such as ROI, loyalty, product development, customer satisfaction, and regression modeling‚ the bread and butter of our industry.

Michael Lieberman

Weighted NPS Scores: All customers are equal, but some are more equal than others

Very few companies and models actually take into account the customer profile when reporting out NPS Scores.

Vivek Bhaskaran