Automated tools and expert support for product and pricing research

Conjoint analysis Our products About us

Our products

Generic Conjoint

Conjoint analysis for feature selection, measuring willingness to pay for features, pricing, and product testing in commoditised markets or for single products

Brand-Specific Conjoint

Conjoint analysis for feature selection, pricing, and product testing in markets where potential product characteristics vary across brands or SKUs

Upload DIY experimental design

Allowing advanced choice modellers to upload their own experimental designs and perform data collection on Conjoint.ly

Gabor-Granger

Determine price elasticity for a single product and identify revenue-maximising price level

Van Westendorp

Determine psychologically acceptable range of prices for a single product and chart approximate price elasticity curve

What users say

Our solution

Since its inception in the 1970s, conjoint analysis has proven a reliable market research technique. It is commonplace in marketing, advertising and product management, helping test acceptance of new product features, pricing, messaging. These days, it is also frequently used in healthcare, environmental, government and non-profit settings.

Conjoint.ly helps managers understand what drives customer behaviour through surveys that simulate the act of purchasing (or any other type of choice-making). It offers a complete online solution from experiment set-up to data analysis and presentation of reports on marginal willingness to pay, share of preference simulation, segmentation, and more. Being at the statistical forefront of discrete choice experiments, Conjoint.ly offers robust, proven analytics that managers rely on in important product decisions.

Our mission is to make conjoint analysis, discrete choice experimentation, and other pricing and product research methods readily available to marketing and product managers in the form of an easy-to-use online tool. We offer an agile alternative to other software and consulting solutions, helping you get to reliable quality customer insights faster.