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Easily learn what features your customers want most
Easily learn what features your customers want most

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We are now working with Call For Participants who help you find research study participants. Find out more: 

Post has attachment in the #iicompetition. Check out our entry here:

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Announcing 2017 Best Discrete Choice Experiment Award. invites you to practice conjoint analysis (discrete choice experimentation) on our platform. This competition is for marketing students and those interested in learning marketing research.

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Check out how our CBC Excel simulator helps you find most profitable product concept 

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The team at are currently working on adding on some additional features for your discrete choice experimentation and we are delighted to share a few of them with you today:

Preference-based segmentation of customer base. now uses the choices your participants make to understand what segments there are in the market. Try it out yourself with the sample reports included in your account.

Profiling questions. With every experiment, you can now include multiple choice, open-ended, constant sum, and other types of questions. You can then use the answers to profile each segment.

PowerPoint export. can now export research findings into PowerPoint.

Excel profitability model. Conjoint analysis allows you not only to understand what your customers want most, but also choose the most profitable concept for your business. By combining the data on customer preferences (from conjoint), marginal costs (from your BI), and competitor offerings (from market research), our Excel profitability model will help you choose a profit-maximising offering.

Is there a feature or customisation that you need for your experiment? Contact us right away!

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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. We found that the big websites like SurveyMonkey and Qualtrics do not quite let you do it, and the few other websites that do will charge up from $1,000 per month to do a simple conjoint experiment.

That is why we decided to launch, a tool that let you run your conjoint analysis and that will automatically analyse the results for you, providing you with features like:

* Partworth estimation

* Market share simulation

* Segmentation based on preferences

All this is enabled by fairly sophisticated techniques, such as Hierarchical Bayesian Modelling. But you do not need to see what's behind it all: we provide results for you, not a bunch of stats metrics.

While we are working on a few additional features, such as adding profiling questions, we invite you to test out for your research. If you need any customisations, please do not hesitate to contact us and we will be happy to help you.

Post has attachment has now launched. We will be working hard to make the experience of online conjoint analysis better for everyone. Check out the tool at 

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The beta version of is coming out next week and will bring the following features:

* Easy experimental set-up

* Automated emailing of the survey invite to customers

* Automated analysis of customers’ responses, including:

- calculation of partworths for attributes and levels

- marginal willingness to pay for a feature

- market share simulation

This will be the most easy-to-use conjoint analysis tool that we know of on the internet with many additional features to come.
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