Our products

Generic Conjoint

Feature and claim selection and measuring willingness to pay for features for a single product

Brand-Specific Conjoint

Feature and claim selection and pricing in markets where product characteristics vary across brands, SKUs, or price tiers

Claims Test

Efficiently test up to 300 product claims on customer appeal, fit with brand, and diagnostic questions of your choice


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

Predictive Product Test

Easily set up a prediction market to test one or two new product concepts

Prediction Market

Harness wisdom of the crowd to predict adoption of new products and future consumer trends

Upload DIY experimental design

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

Simple Survey

General survey with standard question types, including webcam and microphone recording

Product Variant Selector

Identify winning product variants from among 2 up to 300 different ideas (e.g., designs, materials, bundle options) on customer appeal, purchase intention, fit with brand, etc.

FMCG/CPG Product Validator

Pre-launch validation for an FMCG/CPG product concept on several metrics (purchase intent, price perception, purchase incrementality, purchase and usage context, triggers and barriers) and open-ended video and text feedback

Technology Product Validator

Pre-launch validation for a technology product concept on several metrics (purchase intent, price perception, purchase incrementality, purchase and usage context, triggers and barriers) and open-ended video and text feedback

Claim Combination Test

Test two-, three-, or four-way combinations of claims (with up to 100 claims with various prohibition rules) for categories where products typically exhibit not one, but several claims at once

Package Test

Test your package option (or multiple options) on memorability, fit with brand, appeal, purchase intent and other metrics using choice-based and implicit measurement techniques and receive open-ended video and text feedback

In-Category Product and Pricing Test

Measure volume of demand and price elasticity for your product among a larger set of items within a category in a shopping cart setting

What we offer

Conjoint.ly provides automated tools and expert support for product and pricing research. We offer 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 and prediction markets, Conjoint.ly offers robust, proven analytics that managers rely on in important product decisions.

Our mission is to make the traditionally labour-intensive, yet powerful market research methods (conjoint analysis, discrete choice experimentation, prediction markets) readily available to insights, marketing, and product managers in the form of easy-to-use online tools supplemented with on-demand expert advice. We offer an agile alternative to other software and consulting solutions, helping you get to reliable customer insights faster.

Our clients include both insights departments at Fortune 500 companies and product-focused start-ups across dozens of industries. What unites our users is a healthy thirst to know how their customers will react to their business decisions.

Meet the team

Nik Samoylov

Nik Samoylov


Former Consultant at Bain & Company, University Medal in Marketing from the Australian National University

Jason Widjaja

Jason Widjaja

Market Researcher

First Class Honours in Marketing
from Monash University

Yutian Shen

Yutian Shen

Market Researcher

PhD in Marketing from the University of New South Wales Business School

Mitchell Vanderham

Mitchell Vanderham

Project Manager

Bachelor of Business and Commerce, Marketing, from Western Sydney University

Denis Smagin

Denis Smagin


Anna Burunova

Anna Burunova

QA Engineer

Sergey Pavlenko

Sergey Pavlenko


What users say