Conjointly
Automated tools and expert support for product and pricing research.
Conjoint.ly enables automated choice-based experiments that inform marginal willingness to pay, share of preference simulation, segmentation, and more. Understand what features and prices are optimal for your product through conjoint analysis and test new product concepts through prediction markets.
Overview
- Design studies quickly — a simple, yet flexible tool for crafting your desired study
- Engaging respondent experience — a clean and fully responsive interface for respondents
- Fully automated analytics — learn about your product’s features, willingness to pay and segmentations
- Export to Excel — export your findings to an Excel file
Features
Features
How it Works
Features
Conjoint.ly makes it easy to launch and analyze the following experiments with a flexible study templates that are customizable, and automated results and segmentations.
- Generic conjoint analysis — feature selection, measuring willingness to pay for features, pricing, and product testing in commoditized markets or for single products
- Brand-specific conjoint analysis — feature selection, pricing, and product testing in markets where potential product characteristics vary across brands or SKUs
- Gabor-Granger price testing — price elasticity for a single product and identify revenue-maximizing price level
- Van Westendorp price testing — psychologically acceptable range of prices for a single product and chart approximate price elasticity curve
- Prediction Market — harness wisdom of the crowd to predict adoption of new products and test new packaging, advertising materials, and pricing
How it Works
Conjoint.ly studies can be launched directly in your Fuel Cycle community. You can create new studies and attach them to Fuel Cycle activities for a seamless member experience. When the study is complete, the member will return to the Fuel Cycle activity and the results will be automatically collected. From this data insights will be generated in the Conjoint.ly analysis dashboard.
Additional details can be found on www.conjoint.ly