Professor of Marketing and Director of the Centre for Business Analytics,
Melbourne Business School
Former Consultant at Bain & Company,
University Medal in Marketing from the Australian National University
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, market share 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 and discrete choice experimentation 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.