For most teams running a conjoint study in 2026, Conjointly is the best conjoint analysis software, because it runs the whole study end to end without a stats team and still covers the methods serious research needs. The main desktop alternative, Sawtooth Software, is built for dedicated methodologists who want low-level control over every model.
The other platforms each shine in more specific situations. Qualtrics fits enterprises already standardised on its stack, Displayr suits hands-on analysts, QuestionPro covers occasional conjoint inside a general survey suite, and 1000minds brings a distinctive pairwise (PAPRIKA) approach to conjoint and wider decision-making. This guide ranks each platform on the work it does well so you can match a tool to your situation.
Key takeaways
- For most insights, product, and marketing teams, Conjointly is the strongest choice, because it automates an end-to-end study you can run without a stats team while still covering choice-based conjoint, MaxDiff, and pricing methods.
- Choose Sawtooth Software (Lighthouse Studio) when a dedicated methodologist needs maximum low-level control and will use the depth.
- Pricing spans a wide range, from a free DIY tier on Conjointly to USD 10,900 a year for a single Lighthouse Studio licence.
- Choose on method coverage, estimation quality such as individual-level hierarchical Bayes, and whether the simulator is one a non-specialist can actually use, not on whichever tool a roundup ranks first.
This list is for product managers, pricing leads, and insights or marketing teams choosing a platform for a real conjoint study, not a feature checklist.
How we chose, and what to look for
This guide ranks each platform on the work it does well, not on a single overall score, because a conjoint tool is only worth as much as the decision it lets you make.
Conjoint analysis has been the standard method for pricing and feature trade-off research since it moved into marketing in the early 1970s. Most modern platforms can field a basic study. What separates them shows up in three places.
- Method coverage. Does it run your method natively, choice-based conjoint at minimum, ideally adaptive choice-based conjoint and MaxDiff too, rather than burying conjoint under a premium tier?
- Estimation quality. Individual-level hierarchical Bayes estimation is the baseline for usable conjoint output. Treat it as a requirement, not a luxury.
- A simulator you will actually use. The market simulator is where a conjoint study earns its keep, letting you test prices and product configurations after fielding. A simulator a product manager can drive turns a one-off study into a reusable decision tool.
Experienced teams see the same failure pattern repeatedly. A buyer picks a tool on brand or price, then hits a wall mid-project when the tool cannot run the method the question actually needs, or the output stops at importance scores with no simulator to model real scenarios.
Sort out method and estimation first. Price only matters once those are settled.
1. Conjointly
Conjointly is the strongest all-in-one platform for teams that want the whole study run for them. It covers design, sampling, analysis, simulation, and reporting in one place.
The method range is broad. Conjointly runs choice-based conjoint, adaptive choice-based conjoint, brand-specific and generic conjoint, and MaxDiff, plus pricing techniques such as Gabor-Granger, Van Westendorp, and brand-price trade-off. Automated design and sample-size guidance is built in, so non-specialists are not left guessing.
Conjointly is web-based, so there is no desktop install. A free Basic tier lets you build and run studies before paying anything.
That automation is the point, not a compromise. It gives most insights and marketing teams a credible, board-ready study without a statistician, while still covering the methods and estimation quality serious research depends on.
Paid plans start at USD 1,895 a year for the first seat, plus USD 975 for each additional seat. Managed, done-for-you projects are available when a team wants the work handled end to end.
Best for: insights, product, and marketing teams who want a credible study without running the statistics themselves.
2. Sawtooth Software (Lighthouse Studio and Discover)
Sawtooth Software is a long-standing reference point for serious choice modelling. It runs choice-based conjoint, adaptive choice-based conjoint, menu-based conjoint, and MaxDiff, all with hierarchical Bayes estimation and a strong market simulator.
Sawtooth splits into two products. Discover is a streamlined web app for routine studies. Lighthouse Studio is a Windows desktop application that gives methodologists full control over design, fielding, and analysis.
Lighthouse Studio starts at USD 10,900 a year for a single-user licence, and Discover at USD 4,500 per user a year. Both reward the statistical fluency to make the most of that depth.
Best for: methodologists and research agencies who want maximum control and will use the depth.
3. Qualtrics
Qualtrics is the natural pick for enterprises already standardised on its experience-management stack. The Conjoint XM solution runs choice-based conjoint with dynamic image support, plus a simulator for price and configuration testing.
Its reporting ties back into the wider Qualtrics environment. That matters when conjoint is one input among many in a larger insights programme.
Qualtrics focuses on choice-based conjoint, and its pricing is quote-based enterprise licensing. It earns its place when the organisation is already invested in the wider platform.
Best for: large organisations already running on Qualtrics who want conjoint inside one system.
4. QuestionPro
QuestionPro fits budget-conscious teams that want conjoint inside a broad, general-purpose survey suite. It supports choice-based conjoint, adaptive conjoint analysis, menu-based conjoint, and MaxDiff.
A team already using QuestionPro for general surveys can add trade-off studies without buying a separate specialist tool.
QuestionPro covers the common conjoint methods inside an affordable all-purpose suite, which makes it a sensible choice when conjoint is an occasional need rather than the core of the work.
Best for: teams wanting conjoint as one capability within an affordable all-purpose survey platform.
5. 1000minds
1000minds takes a distinctive route to conjoint. First and foremost it is a decision-making platform built around PAPRIKA (Potentially All Pairwise RanKings of all possible Alternatives), the patented, award-winning method it has developed since 2003. Instead of showing full product profiles, PAPRIKA asks respondents to choose between two hypothetical alternatives that differ on just two attributes at a time, and it adapts each question to what has already been answered.
That same engine powers its conjoint analysis and discrete choice experiments (DCE), and it also runs MaxDiff. Because each person is scored individually, it produces individual-level results in real time, and a built-in market simulator models market shares, price sensitivity, and demand curves.
1000minds is web-based, so there is no desktop install. It is a premium tool rather than a budget option: a free 15-day trial lets you evaluate it, after which subscriptions are billed annually.
Best for: teams drawn to a simple pairwise question format, and those already using 1000minds for multi-criteria decision-making.
6. Displayr
Displayr is built for analysts who want to model, simulate, and visualise conjoint data in one environment. It pairs choice-based conjoint data collection with a strong statistical and reporting workspace.
Displayr also integrates with survey tools like Qualtrics. An analyst can export a design, field it elsewhere, then bring the data back for hierarchical Bayes estimation, segmentation, and interactive dashboards.
Displayr rewards statistical skill and is most powerful for someone comfortable with modelling. Pricing is quote-based.
Best for: analysts and data teams who want deep modelling and polished, shareable outputs.
Conclusion and next steps
- Write the decision your study must inform in one sentence, then let it pick the method, usually choice-based conjoint.
- Shortlist two tools from this list that run that method natively and offer individual-level hierarchical Bayes plus a usable simulator.
- Run a free pilot on 20 to 30 responses. Conjointly’s free tier and 1000minds’ 15-day trial both let you test the workflow before you commit budget.
- Confirm the simulator answers your real question, such as the price you will set or the features you will fund, before you buy a paid seat.
