Adaptive Surveys & Agile Data Collection
Conjoint.ly
Conjoint.ly - Australia

Conjoint.ly brings rich discrete choice experiments within reach of non-statisticians, without reliance on consultants. Driven by marketing science, we automate reliable insights on in-demand product features and pricing.

Development Stage: Conceptual
150 Votes
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Conjoint analysis is already used widely, but existing software tools are limited. Our difference is that we go beyond survey websites in functionality, flexibility, and the underlying expertise in discrete choice experiments. At the same time, we focus on ease of use that existing statistics packages aimed at DCE professionals lack.

Our expertise in discrete choice experiments guides the development of the software tool to ensure it embodies cutting-edge thinking in marketing.


Conjoint analysis is a proven market research technique that lets managers elicit preferences for product features and understand willingness to pay for these features. It facilitates prediction of market shares for new product developments and optimisation in pricing and product management.

We are developing methods for fully automated analytics of conjoint analysis for scalability.

Conjoint is a time-tested technique. However, today managers have limited tools at their disposal for this type of research: laborious DIY solutions, simplistic and often subpar conjoint features on survey websites, or costly research consultants. Our contribution is in packaging it for ease of use, availability, and flexibility, while upholding highest quality standards.

Our market potential is wide due to the already high acceptance of the technique but limited availability of tools.


One of our early users is a successful online gaming company. Despite strong loyalty and satisfaction among existing customers, the company was losing share of new subscribers to competition. The company's marketing manager saw the need to experiment with different introductory offers to find one that would optimise growth and profitability, but country regulations do not allow in-market testing of multiple concurrent offers in the industry. The circumstance called for simulated market testing.

The manager logged onto Conjoint.ly, specified parameters of the study in under 20 minutes, tested the survey with a small sample of respondents, sent out the survey link to several hundred prospects, and within 3 hours received a report that listed most successful features of introductory offers.

This quick turnaround helped the company refine its introductory offer in an agile manner and see an increase in subscriptions. The profitability model provided by Conjoint.ly helped the company understand the tradeoffs between market share gain and profitability and hence instill confidence from the finance team in the recommendations provided by the marketing manager.

Conjoint.ly is an automated platform for discrete choice experimentation (choice-based conjoint) for marketers. We are a one-stop-shop from experimental design, data collection, through to advanced analytics. User logs on the website, specifies parameters of the experiment, and chooses to whom to send the survey invitation. After respondents answer  a conjoint survey, the user gets a report on the website, in PowerPoint, and in Excel.

Brands and companies benefit enormously from discrete choice experimentation, a proven and trusted research technique, which helps managers understand what product features customers truly prefer and how much they would be willing to pay for them. It is a must-use tool in product management.

Author
Nik Samoylov
Co-Author
Nik Samoylov
Co-Author
Professor Ujwal Kayande
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