Category: Research tools

While performing feature selection and pricing optimisation in one experiment may seem like a good idea, it may result in increased complexity and costs compared to multi-stage research. View article

Try out and generate a Feature Placement Matrix within seconds by uploading your own data set. Let's get started! View article

Random effects are everywhere in survey data. Let's try to do appropriate modelling for them in R! View article

Monadic testing lets respondents review individual concepts one-by-one. By focusing participants' attention on one stimulus at a time, it delivers actionable deep-dive results for product and pricing decisions. View article

The Kano Model is used to analyse consumer preferences for different features and group features into multiple categories. This helps product managers to prioritise development efforts. View article

Find the market research platform that works best for your business by following this helpful guide. View article

Writing a market research report is a tough skill to master. Read our 5 top tips to get you started for writing a successful market research report. View article

Learn to write and develop effective Likert scale questions using tips from this best practice guide. View article

Our market research glossary defines some key terms relating to a range of industry concepts. Learn some new consumer research lingo from basic research concepts to more advanced and technical definitions. View article

We've answered your questions about sample size in this handy guide. Use our new sample size calculator to get the right sample size for your next survey. View article

Learn how to do segmentation on the Conjoint.ly platform with this visual guide. View article

Market research automation creates time and cost efficiencies but there are misconceptions surrounding its use. We explore the truth behind these myths. View article

Behavioural segmentation helps you understand how consumers make purchasing decisions. Learn how it benefits your product development and marketing efforts. View article

We explore quantitative data collection methods’ best use, and the pros and cons of each to help you decide which method to use for your next quantitative study. View article

Conjoint.ly sources quality respondents for your survey platforms such as Cint. Learn more from Jessica Murdoch VP of Sales and Customer Success ANZ at Cint. View article

A good market research brief helps agencies lead successful projects. Learn what to include and how to write a detailed brief with our template guide. View article

What are the different statistics available for a single variable? Selecting statistics for a single variable depends of the type of variable: nominal, ordinal, or interval. View article

TURF analysis (Total Unduplicated Reach and Frequency) is a statistical technique that ranks combinations of products by how many people will like these combinations. View article

Example conjoint analysis report for preferences in ice-cream cones. View article

Conjoint.ly is now offsetting carbon emissions with every purchase of our automated market research platform. Find out why. View article

Claims testing is a research methodology that allows you to identify the most convincing claims for your brand or product category. Learn about types of claims and the ways to test them in this introduction to claims research. View article

Dual negative-positive scale asks respondents to provide answers as either a positive or negative rating on a 1-5 scales. Results are calculated using the formula: Overall Score = Mean of positive questions - Mean of negative questions. View article

The methodology behind our Claims Test tool is based on a proven choice-based technique & was refined through multiple projects for FMCG brands. Learn more here! View article

With so many pricing research methodologies out there, how do you know which is the right one for you? View article

Conjoint analysis has been around for a fairly long time, it is widely used in marketing research, and is taught at almost every marketing course. Yet, when it comes to implementing it in practice, there is a surprising lack of available tools that can help you do that. View article