Automated survey research for pricing — conjoint analysis, Van Westendorp, and Gabor-Granger studies.
Conjointly is a self-serve research platform for quantitative pricing and product studies. It packages the standard willingness-to-pay methods — conjoint analysis (trade-off surveys that infer what buyers will pay for which features), Van Westendorp price sensitivity meters, and Gabor-Granger direct price tests — into templated studies with built-in respondent panels and automated analysis. Pricing teams, product managers, and consultants use it to put real evidence behind a price point or packaging change before shipping it.
Which of the capability map's modules Conjointly covers — each links to the module's own page, with every tool that supports it.
| Module | Phase | Depth | Note |
|---|---|---|---|
| Define What You Sell | |||
| Willingness-to-Pay Research | Design & Setup | Core | |
It turns work that used to require a research agency into something a pricing team can run in days: method templates, panel sourcing, and statistical output are all in the product. The trade-off is self-serve rigor rather than bespoke consulting design.
Van Westendorp is the cheapest first read — four questions that map the acceptable price range for a defined offer. Conjoint analysis is the stronger tool when the real question is packaging, because it forces respondents to trade features against price the way buyers actually do. Gabor-Granger works when the offer is fixed and you only need demand at specific price points.
Before you commit to numbers. Survey-based willingness-to-pay research is an input to pricing model design, not a substitute for it — you still validate with real transaction data, sales feedback, and ideally live experiments after launch.