AI use cases and ROI in Conjointly
Explore Conjointly's AI applications in market research, from adaptive conversational surveys to automated text analysis, and AI-assisted, browser-based R analytics.
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How implicit testing captures your consumers' millisecond reactions
Discover what implicit testing is, how it measures instant consumer reactions, and its key applications in market research.
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Comparing different approaches to claims' diagnostics
You can perform diagnostic assessment on claims either through an individual claim approach or a combined concept approach, but which approach is more suitable?
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Conversational surveys explained in six minutes
Discover what conversational surveys are, how they work, and how to set them up effectively.
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New safeguards against bots and "professional" respondents
Conjointly added two new quality checks i.e. extra hard exclusion rules and detection of anomalous network activities to protect your research from fraudulent respondents.
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Comparing four methods of conjoint for pricing research
Discover the key differences between four conjoint-based pricing research methods, namely Generic Conjoint, Brand-Specific Conjoint, Brand-Price Trade Off, and Brand-Price Trade-Off with Linear Coefficients.
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Typing tools using calculated variables
On Conjointly it's easy to make typing tools that use calculated variables to compare different groups. Here's an example.
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What do consumers think of the Ray-Ban Meta Smart Glasses
This case study explores how US consumers think about the Ray-Ban Meta Smart Glasses, amid recent updates and intensifying privacy debates surrounding smart eyewear technology.
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Conjoint Analysis 101: with example for NPD
Discover the fundamentals of conjoint analysis, from key concepts to study design and results analysis, through this companion article to our popular Conjoint Analysis 101 webinar.
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Synthetic respondents are the homoeopathy of market research
This article covers how synthetic responses are generated, their unreliability and invalidity, the allure of synthetic respondents, and the effects of this trend.
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How to get the most out of video interviewing in surveys?
Video Response questions help you gather authentic and rich insights, through empowering people to talk. Learn how to get the most out of video interviewing in surveys.
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LA Clippers Rebrand — New vs. Old
To evaluate the effectiveness of the LA Clippers recent rebranding, this blog compares the new 2024 logo to the 2015 LA Clippers logo.
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WH Smith Trial Rebrand — New vs. Old
To assess the impact of WH Smith's recent trial logo update, this Logo Test compares the newly introduced WHS logo with the WH Smith logo, which has been in use since 2004.
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Reddit Rebrand — New vs. Old
To evaluate the effectiveness of Reddit's recent logo update, this Logo Test compares the new 2023 logo with the 2017 Reddit logo.
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Can you make perceptual maps from fake data? (A replication study)
This study investigates the claim that synthetic LLM-generated data could be used effectively for creating perceptual maps in market research contexts.
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Kellogg's vs. Kellanova: Which Do Consumers Prefer?
To assess the effectiveness of Kellogg's recent rebrand to Kellanova, the Business Name Evaluator and Logo Test surveys compare the business names and their logos to see which respondents preferred.
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Nokia Rebrand — Old vs. New?
To evaluate the effectiveness of Nokia's recent logo overhaul, this Logo Test compares the new 2023 logo with the 45-year-old iconic Nokia logo.
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Comparing the Twitter, X, and Threads logos
To evaluate the recent Twitter/X rebranding, this Logo Test compares the Blue Bird icon with the new X and competitor Threads icons.
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UX Testing vs. Market Research for Evaluating Software
UX testing is widely used in software development, while market research remains underutilised. This article compares these approaches and discusses how to use both for the best results.
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How to use the Clustering Demo
Easily segment your audience using preference data and other survey answers with the Clustering Demo.
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How to measure category volume uplift from introduction of NPDs?
Potential uplift to a category can be measured by simulating the difference in preference share after the introduction of a new product against a base case scenario and via a standard set of uplift questions.
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How to track consumer trends through continuous data collection and time series analysis
Iterative, continuous data collection combined with time series analysis enables you to track and understand changes in consumer and market trends, helping you gain powerful insights for data-driven decisions.
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How to maximise the impact and return of your ads with ad pretesting
Whether your goal is to maximise the return on your ad spend or convince your stakeholders that your ad proposal will be successful, ad pretesting tools come in handy. Let’s discover which option best fits your brand and objective — and launch successful ads that everyone will discuss.
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How to get the most out of open-ended questions
Open-ended questions should be part of any research project as they can gather in-depth and rich insights from your target audience. Learn more about open-ended questions and getting the most out of them for your projects.
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What are the different research questions each tool answers?
Which research questions are addressed by each tool? This article breaks down the research questions addressed by eight different tools.
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Mini-lecture: Conjointly's guide to sample selection
This mini-lecture discusses the importance of sampling in research, and will walk you through the steps of finding the right sample for your experiment.
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Van Westendorp PSM Excel Template
The Van Westendorp Price Sensitivity Meter is used to determine the psychologically acceptable range of prices for a single product or service. Learn more about the method and its output with our free Excel template.
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Drive Traffic to your Website with a Winning Domain Name
A domain name is so much more than an address for your website — it is a cornerstone of your brand. Here we explore the steps to take to develop the most eye-catching domain name for your business.
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Kano Model or MaxDiff Analysis?
Should you use Kano or MaxDiff for feature selection? We compare the two and draw practical recommendations.
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What is wrong with Kano model?
What is wrong with Kano model? We address five criticisms of Kano and show how to work through them.
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How to perform smart sampling and data checking?
With 5,000+ projects performed on the platform, Conjointly market research experts have compiled common concerns regarding sampling and data checking and provide their suggestions.
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Pricing and feature selection: One or multi-stage study?
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.
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Feature Placement Matrix Calculator
Try out and generate a Feature Placement Matrix within seconds by uploading your own data set. Let's get started!
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Random effect models with lmer function in R
Random effects are everywhere in survey data. Let's try to do appropriate modelling for them in R!
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What is Monadic Testing and How to Use It?
Monadic testing involves presenting respondents with individual stimuli for focused testing, delivering insightful and actionable results to support product and pricing decisions.
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Kano Model of Feature Selection (with Free Excel Template)
The Kano Model is used to analyse consumer responses to the presence and absence of features, and classify these features into distinct categories based on their impact on consumer satisfaction. This helps product managers understand consumer expectations and preferences.
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Choosing the Right Market Research Platform
Find the market research platform that works best for your business by following this helpful guide.
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Writing a Market Research Report: 5 Top Tips
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.
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How to Develop Effective Likert Scale Questions?
Learn to write and develop effective Likert scale questions for your market research using tips from this best practice guide, especially useful for concept validation.
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Market Research Glossary
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.
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Sample Size Calculator and Guide to Survey Sample Size
How many respondents do you need? Use our sample size calculator to get the right sample size for your next survey. We also answer frequently asked questions on sample size and provide suggestions to improve your surveys in this handy guide.
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Busting Market Research Automation Misconceptions
Market research automation creates time and cost efficiencies but there are misconceptions surrounding its use. We explore the truth behind these myths.
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4 Ways Behavioural Segmentation Aids Marketing
Behavioural segmentation helps you understand how consumers make purchasing decisions. Learn how it benefits your product development and marketing efforts.
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Best Data Collection Methods for Quantitative Research
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.
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Leading an Innovative Survey Panel Platform Provider
Conjointly sources quality respondents for your survey platforms such as Cint. Learn more from Jessica Murdoch VP of Sales and Customer Success ANZ at Cint.
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Writing a Successful Market Research Brief
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.
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How to Select Statistics for a Single Variable
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.
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What is TURF Analysis and When to Use It?
TURF analysis (Total Unduplicated Reach and Frequency) is a statistical technique that ranks combinations of products by how many people will like these combinations.
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How to Test Claims for Consumer Products
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.
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Methodology Behind Claims Test
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!
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Gabor-Granger or Van Westendorp?
With so many pricing research methodologies out there, how do you know which is the right one for you?
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