Data as of Sep 19, 2026 · Based on 342 AI responses from ChatGPT Search and Google AI Mode · See how Parse measures this
For pricing analysts conducting conjoint analysis, 
Brands AI recommends here
Named in 82% of answers
The best fit for practitioners who need speed, ease of use, and automated reporting. It excels at delivering quick insights for Van Westendorp, Gabor-Granger, and conjoint studies without the complexity of enterprise suites.
Named in 80% of answers
Named in 75% of answers
The industry standard for high-precision, complex conjoint studies. It is the best choice for advanced modeling and high-stakes research, though it is a more expensive and complex tool compared to modern SaaS.
Named in 63% of answers
Source | Citation share |
|---|---|
 9 Best Conjoint Analysis Software in 2026 (In-Depth Look)https://www.pollfish.com/resources/blog/market-research/conjoint-analysis-software/ | 8.3% |
 Top 10 Conjoint Analysis Software Tools (Free vs Paid ...https://www.opinionx.co/blog/conjoint-analysis-tools | 6.1% |
Pricing Research Services and Tools for Confident Pricing - Conjointlyhttps://conjointly.com/solutions/pricing-research/ | 5.8% |
Conjoint Analysis Software for Product & Pricing Optimizationhttps://sawtoothsoftware.com/conjoint-analysis-software | 4.5% |
Conjoint Analysis Software: Optimal Features and Pricinghttps://conjointly.com/solutions/conjoint-analysis/ | 4.3% |
 Conjoint Analysis Software: Product Research – $19/mohttps://www.surveyking.com/solutions/conjoint-analysis-software | 3.3% |
Conjoint analysis software tool | 1000mindshttps://www.1000minds.com/conjoint-analysis | 2.8% |
Conjoint analysis and DCE pricing - 1000mindshttps://www.1000minds.com/pricing/conjoint-analysis | 2.8% |
 Top 22 Conjoint Analysis Study Suppliers for CPGhttps://simporter.com/top-conjoint-analysis-suppliers/ | 2.8% |
 Market & Audience Research Tool - Qualtricshttps://www.qualtrics.com/research-core/conjoint-analysis/ | 1.8% |
For a **pricing analyst**, the “best” software depends on whether you are doing **deep pricing science** (choice modeling, willingness-to-pay, elasticity simulations) or **broader market research** (surveys, segmentation, concept testing). The strongest options are: Software | Best for | Strengths | Trade-offs --- |…
For a pricing analyst, the “best” software depends on whether you are doing deep pricing science (choice modeling, willingness-to-pay, elasticity simulations) or broader market research (surveys, segmentation, concept testing). The strongest options are:
| Software | Best for | Strengths | Trade-offs |
|---|---|---|---|
| Sawtooth Software | Advanced pricing analysts and dedicated research teams | Industry-standard conjoint capabilities, CBC/ACBC, hierarchical Bayes estimation, market simulators, strong experimental design control | Steeper learning curve; typically requires more research expertise Sawtooth Software |
| Conjointly | Most pricing teams doing regular studies | End-to-end conjoint, pricing research methods, easier workflow, good for product/pricing teams | Less customizable than specialist tools for complex models Koji |
| Qualtrics | Enterprises already using Qualtrics | Combines conjoint with survey programs, segmentation, dashboards, broader CX/research workflows | Can be expensive; conjoint depth may not match specialist tools Qualtrics Qualtrics |
| Displayr | Analysts who want flexible analysis/reporting | Strong visualization, statistical analysis, integrates well with research workflows | Not primarily a conjoint design platform Quali-Fi |
| QuestionPro | Budget-conscious teams | Survey platform with conjoint capabilities | Less suited for highly sophisticated pricing models Quali-Fi |
Choose Sawtooth Software.
It is the strongest choice when you need to:
Sawtooth supports advanced conjoint designs, utility estimation, segmentation, and market simulations.
Choose Conjointly.
It is often a better operational fit because it is designed around recurring business questions:
It also covers related pricing research approaches beyond conjoint.
Use Qualtrics Conjoint unless you have a reason to add a specialist tool.
The advantage is workflow integration:
Qualtrics offers conjoint as part of its research capabilities.
A strong pricing toolkit usually includes more than conjoint:
For a mature pricing function:
For a solo pricing analyst or small team, I would usually start with Conjointly and move to Sawtooth when the complexity and volume of studies justify it.
If you are specifically doing B2B SaaS pricing, consumer goods pricing, retail pricing, or industrial pricing, the ideal tool choice can differ quite a bit.
For a pricing analyst, the "best" software depends heavily on your technical statistical background, budget, and whether you need an end-to-end automated platform or a heavy-duty customizable modeling tool. The top software options for conducting conjoint analysis and pricing research are categorized below by their…
For a pricing analyst, the "best" software depends heavily on your technical statistical background, budget, and whether you need an end-to-end automated platform or a heavy-duty customizable modeling tool.
The top software options for conducting conjoint analysis and pricing research are categorized below by their strengths:
To help narrow down the right choice, tell me:
If you’re a **pricing analyst** rather than a dedicated market-research methodologist, I’d put **Conjointly** at the top of the list. The key distinction is whether you want software that is primarily **excellent at conjoint methodology**, or software that lets a pricing analyst run an **entire pricing-research…
If you’re a pricing analyst rather than a dedicated market-research methodologist, I’d put Conjointly at the top of the list.
The key distinction is whether you want software that is primarily excellent at conjoint methodology, or software that lets a pricing analyst run an entire pricing-research workflow—survey → conjoint → WTP → pricing simulations → report—without needing a statistician.
| Software | Best for | Conjoint | Pricing research | Ease of use | My take |
|---|---|---|---|---|---|
| Conjointly | Pricing/product analysts | ★★★★★ | ★★★★★ | ★★★★★ | Best overall |
| Sawtooth | Advanced conjoint / research experts | ★★★★★+ | ★★★★☆ | ★★★☆☆ | Best methodological depth |
| Displayr | Analysts doing lots of quantitative analysis | ★★★★☆ | ★★★★★ | ★★★★☆ | Best analysis/reporting environment |
| Qualtrics | Enterprise research teams | ★★★★☆ | ★★★★☆ | ★★★★☆ | Best if your company already uses it |
| QuestionPro | Lower-cost general research | ★★★★☆ | ★★★☆☆ | ★★★★☆ | Good budget alternative |
| R / Python | Data scientists | ★★★★★ | ★★★★☆ | ★★☆☆☆ | Best flexibility, most work |
For a pricing analyst, this is probably the sweet spot.
It supports choice-based conjoint, MaxDiff, Gabor-Granger, Van Westendorp, Brand-Price Trade-Off, and other pricing methods in one platform. Its conjoint simulator can be used to estimate willingness to pay and simulate market share, revenue, and profit under different prices/product configurations.
The Professional license is currently listed at $2,895 per team/year, with the advanced methods included.
Why I like it for pricing analysts:
The downside: If you're an expert conjoint researcher who wants extremely granular control over experimental design, estimation, and advanced conjoint techniques, Sawtooth is stronger.
If conjoint is going to be a major part of your job, I'd learn Sawtooth.
Sawtooth supports CBC (choice-based conjoint), ACBC (adaptive choice-based conjoint), ACA, CVA, and MaxDiff, among other methods.
It's particularly good when you need to answer questions like:
"How should I design a complicated conjoint with 8 attributes, restrictions on which levels can appear together, price interactions, respondent-specific adaptation, and a sophisticated experimental design?" That's where Sawtooth starts pulling away from the easier platforms.
Choose Sawtooth if:
For a pricing analyst who does one or two conjoint studies a year, however, I wouldn't necessarily choose it over Conjointly.
Displayr is particularly interesting if your job extends beyond conjoint into segmentation, regression, driver analysis, crosstabs, MaxDiff, TURF, visualization and executive reporting.
It explicitly supports pricing research, including conjoint for numeric attributes such as price and automated Van Westendorp analysis.
Its Professional plan currently starts at $3,359/user/year and includes conjoint, MaxDiff, regression, factor analysis, cluster/latent-class segmentation and automated reporting.
I'd pick Displayr over Conjointly if your typical workflow is:
Raw survey data → clean data → analyze → segment → model → visualize → PowerPoint
rather than:
Design conjoint → field study → simulate pricing scenarios
Qualtrics makes sense if your organization already has a substantial Qualtrics ecosystem.
Its Strategic Research product includes guided solutions for Conjoint, MaxDiff, concept testing, market landscape assessment, etc. The self-serve Strategic Research offering is currently $420/month ($5,040/year) for 1,000 responses, while enterprise pricing is customized.
The advantage isn't necessarily that it's the best conjoint engine. It's that you get a broad enterprise research platform around it.
I'd choose it when your company already uses Qualtrics for:
rather than buying it specifically for conjoint.
I'd narrow it down to three:
Best default choice.
If I were hiring a pricing analyst and wanted them to be independently capable of running pricing research, this is probably the software I'd give them.
It has the right combination of: conjoint + WTP + pricing methods + sampling + simulation + reporting + ease of use.
Best if you're going to become a conjoint expert.
Learn this if your career is heading toward advanced pricing science / revenue management / market research.
Best if you're a quantitative analyst first and pricing researcher second.
Especially compelling if you spend a lot of time turning survey data into analysis and executive presentations.
For pricing research, I'd actually prioritize the methodology stack over the software.
A strong pricing analyst should be comfortable with:
Conjointly is unusually attractive because many of these methods are available in the same environment.
I'd actually build a toolkit around:
Conjointly + Excel/Power BI + Python or R
Conjointly handles the research design and core analysis; Excel/Power BI handles business-facing pricing models and dashboards; Python/R gives you an escape hatch when you need custom demand modeling or more sophisticated econometrics.
If you tell me what kind of pricing analyst you are (B2B SaaS, consumer, retail, manufacturing, healthcare, etc.) and whether you need to run the surveys yourself, I can give you a much more specific recommendation—including which software I'd learn first and a recommended pricing-research tech stack.
Best if you're going to become a conjoint expert.
Learn this if your career is heading toward advanced pricing science / revenue management / market research.
Best if you're a quantitative analyst first and pricing researcher second.
Especially compelling if you spend a lot of time turning survey data into analysis and executive presentations.
For pricing research, I'd actually prioritize the methodology stack over the software.
A strong pricing analyst should be comfortable with:
Conjointly is unusually attractive because many of these methods are available in the same environment.
I'd actually build a toolkit around:
Conjointly + Excel/Power BI + Python or R
Choosing the best software for a pricing analyst depends heavily on your statistical depth, budget, and whether you need an end-to-end platform (that handles panel sourcing and surveying) or a pure modeling and simulation engine. The industry options break down into top-tier choices categorized by use case and analyst…
Choosing the best software for a pricing analyst depends heavily on your statistical depth, budget, and whether you need an end-to-end platform (that handles panel sourcing and surveying) or a pure modeling and simulation engine.
The industry options break down into top-tier choices categorized by use case and analyst profile:
To help narrow down which tool fits your desk, tell me:
If you're a **pricing analyst** rather than a pure market-research statistician, my top recommendation is **Conjointly**. If you need maximum methodological flexibility and are comfortable with a steeper learning curve, **Sawtooth Software** is the stronger choice. ### My ranking Software | Best for | Conjoint |…
If you're a pricing analyst rather than a pure market-research statistician, my top recommendation is Conjointly. If you need maximum methodological flexibility and are comfortable with a steeper learning curve, Sawtooth Software is the stronger choice.
| Software | Best for | Conjoint | Pricing research | Ease of use | My take |
|---|---|---|---|---|---|
| Conjointly | Pricing analysts / commercial teams | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | Best overall |
| Sawtooth | Advanced conjoint specialists | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | Best for rigor/flexibility |
| Qualtrics | Large enterprises already using Qualtrics | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | Best enterprise ecosystem |
| QuestionPro | Budget-conscious teams | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ | Good value |
| R/Python | Data scientists / custom modeling | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐ | Best for custom analysis |
This would be my default recommendation.
It is unusually well aligned with the day-to-day work of a pricing analyst because it goes beyond basic conjoint and includes Gabor-Granger, Van Westendorp Price Sensitivity Meter, Brand-Price Trade-Off, MaxDiff, and pricing simulations.
It also handles the survey, sample recruitment, analysis, simulations, and presentation/reporting workflow rather than requiring you to stitch together several tools.
The current Professional license is listed at $2,895/team/year, with unlimited surveys and access to the advanced methods; respondent sampling is separate.
I'd choose it if you regularly need to answer questions like:
For a commercial pricing team, that's a very compelling combination.
If your organization has someone who really understands experimental design and discrete-choice modeling, Sawtooth is probably the gold standard.
Its current platform supports CBC, ACBC, ACA, CVA and MaxDiff, with considerably more control over experimental designs and advanced choice modeling.
The downside is that it's more of a researcher's tool than a "pricing analyst wants an answer tomorrow" tool.
I'd pick Sawtooth over Conjointly when:
Sawtooth also offers a free Discover tier for up to 50 respondents, so it's easy to experiment with before buying.
Qualtrics makes a lot of sense if your company already has a substantial Qualtrics investment.
Its Strategic Research offering currently includes Conjoint, MaxDiff, concept testing, advanced analysis and dashboards. The small-team Strategic Research plan is listed at $420/month ($5,040 annually), with enterprise pricing available by quote.
I wouldn't necessarily buy Qualtrics just for conjoint, though. You're paying for a much broader research platform.
There's an important distinction between "best conjoint software" and "best pricing research toolkit."
I'd build the toolkit around several methodologies:
1. Conjoint / CBC Use when you need to understand trade-offs among price + features + brand + configuration.
2. Gabor-Granger Use when the primary question is "How does purchase probability change at different prices?"
3. Van Westendorp Useful for understanding perceived price boundaries, but I would not rely on it alone for setting an optimal price.
4. MaxDiff Excellent for determining relative importance/preference among a large number of features, benefits, or claims.
5. Pricing simulator This is arguably the most important part for a pricing analyst. You want to translate utilities into scenarios such as:
$49 → 72% share $59 → 65% share $69 → 55% share $79 → 43% share and then calculate revenue, margin, market share and potentially profit under different competitive scenarios.
That's where Conjointly and Sawtooth become much more useful than a generic survey platform.
One other consideration: the software is actually the easy part. The quality of a pricing conjoint depends heavily on attribute/level design, price levels, competitive framing, sample design, model specification, and—especially—how you translate utilities into a realistic demand/profit curve. Qualtrics itself notes that poorly designed price-point research can be misleading, which is why realistic trade-off-based methods such as conjoint are valuable.
Bottom line: I'd start with Conjointly, and only move to Sawtooth if your research becomes sophisticated enough that you need its additional modeling/design control.
Its Strategic Research offering currently includes Conjoint, MaxDiff, concept testing, advanced analysis and dashboards. The small-team Strategic Research plan is listed at $420/month ($5,040 annually), with enterprise pricing available by quote.
I wouldn't necessarily buy Qualtrics just for conjoint, though. You're paying for a much broader research platform.
There's an important distinction between "best conjoint software" and "best pricing research toolkit."
I'd build the toolkit around several methodologies:
1. Conjoint / CBC Use when you need to understand trade-offs among price + features + brand + configuration.
2. Gabor-Granger Use when the primary question is "How does purchase probability change at different prices?"
3. Van Westendorp Useful for understanding perceived price boundaries, but I would not rely on it alone for setting an optimal price.
4. MaxDiff Excellent for determining relative importance/preference among a large number of features, benefits, or claims.
5. Pricing simulator This is arguably the most important part for a pricing analyst. You want to translate utilities into scenarios such as:
$49 → 72% share $59 → 65% share $69 → 55% share $79 → 43% share and then calculate revenue, margin, market share and potentially profit under different competitive scenarios.
That's where Conjointly and Sawtooth become much more useful than a generic survey platform.
One other consideration: the software is actually the easy part. The quality of a pricing conjoint depends heavily on attribute/level design, price levels, competitive framing, sample design, model specification, and—especially—how you translate utilities into a realistic demand/profit curve. Qualtrics itself notes that poorly designed price-point research can be misleading, which is why realistic trade-off-based methods such as conjoint are valuable.
For a pricing analyst, the "best" software depends on your statistical depth, budget, and whether you need traditional survey-based trade-off modeling or agile, modern preference testing.[](https://getperspective.ai/blog/best-conjoint-analysis-software-2026-8-tools-ranked-by-decision-insight)…
For a pricing analyst, the "best" software depends on your statistical depth, budget, and whether you need traditional survey-based trade-off modeling or agile, modern preference testing.
The industry standard options break down by use-case and tier:
To help narrow down the best fit, tell me:
If you’re a **pricing analyst** and your work goes beyond basic surveys into **price optimization, willingness-to-pay, conjoint, Van Westendorp, Gabor-Granger, MaxDiff, segmentation, and market simulations**, I’d narrow the field considerably. ## My recommendation ### 🥇 Best overall for a pricing analyst: Conjointly
If you’re a pricing analyst and your work goes beyond basic surveys into price optimization, willingness-to-pay, conjoint, Van Westendorp, Gabor-Granger, MaxDiff, segmentation, and market simulations, I’d narrow the field considerably.
I’d pick Conjointly if you want one relatively approachable platform specifically geared toward pricing and market research. It is particularly attractive when you need to run a variety of pricing techniques rather than becoming a specialist in conjoint methodology.
It supports things such as:
A recent 2026 comparison also ranks Conjointly as a particularly strong all-in-one option, while positioning Sawtooth as the better choice when maximum methodological control is the priority.
Best for: a pricing analyst who wants to independently conduct a lot of studies without needing to be a conjoint statistician.
If conjoint is going to be a core part of your job, I'd seriously consider Sawtooth.
Its current platform includes both the web-based Discover and the more powerful Windows-based Lighthouse Studio. It supports CBC, adaptive conjoint, MaxDiff, advanced choice modeling, market simulations, and extensive survey customization.
Sawtooth is particularly strong when you need to answer questions like:
"If we increase price from $49 to $59, change Feature A, and introduce Competitor B, what happens to expected market share?" Its conjoint tools are explicitly designed for product and pricing optimization and include market simulation capabilities.
Best for: pricing/revenue-management professionals, advanced analysts, research consultants, and anyone who wants rigorous control over experimental design and estimation.
Downside: there's a steeper learning curve, and the more advanced products aren't cheap. Sawtooth currently offers a free Discover tier with up to 50 respondents, while its Professional and Premier offerings are quote-based.
If your organization already has a substantial Qualtrics investment, I'd probably use it rather than introducing another platform.
Qualtrics supports conjoint, MaxDiff, concept testing, and broader market research, and its conjoint reporting includes things such as cost/utility analysis.
The big advantage is integration: surveys → conjoint → segmentation → dashboards → other customer research can live in the same ecosystem.
The disadvantage is that conjoint isn't really Qualtrics' defining strength. Its pricing is also more enterprise-oriented; the dedicated conjoint functionality can require an additional purchase.
Best for: large organizations already standardized on Qualtrics.
Displayr is an interesting choice if your job involves analyzing the data after the survey as much as designing the research.
It specifically targets pricing research and supports:
Displayr specifically highlights conjoint for numeric attributes such as price and automated Van Westendorp analysis.
Its current Professional plan starts at $3,359/user/year, with Enterprise starting at $4,199.
Best for: analysts who receive messy research data and need to turn it into sophisticated analysis, charts, and management-ready presentations.
| If your priority is... | I'd choose |
|---|---|
| Best all-around pricing research toolkit | Conjointly |
| Best-in-class/advanced conjoint | Sawtooth |
| Maximum control over experimental design | Sawtooth Lighthouse Studio |
| Easy web-based conjoint | Sawtooth Discover |
| Company already uses Qualtrics | Qualtrics |
| Lots of statistical analysis + visualization | Displayr |
| Pricing research beyond just conjoint | Conjointly / Displayr |
| Very sophisticated market simulations | Sawtooth |
| Occasional conjoint studies | Conjointly or Qualtrics |
If I were setting up a pricing analyst's toolkit from scratch, I'd probably use:
Conjointly + Excel/Power BI for the majority of pricing research.
Then I'd move to Sawtooth if the organization starts doing enough sophisticated conjoint work to justify learning the methodology deeply.
There's an important distinction here: the "best conjoint software" isn't necessarily the best "pricing research software." A pricing analyst often needs to answer questions that conjoint alone doesn't answer:
That's why I'd favor Conjointly or Displayr for a generalist pricing analyst, and Sawtooth for someone specializing heavily in discrete-choice modeling.
One other point: software is only half the battle with conjoint. Experimental design, attribute/level selection, sample size, model specification, and the way you translate utilities into a realistic market simulation can have a much larger impact on the quality of the pricing recommendation than which UI you use.
If you tell me what kind of pricing you do (B2B, SaaS, consumer, retail, industrial, etc.) and roughly how sophisticated your analytics skills are (Excel only vs. SQL/Python/R/statistics), I can give you a much more specific recommendation—including which software I'd buy, what it costs, and a recommended pricing-research tech stack.
If I were setting up a pricing analyst's toolkit from scratch, I'd probably use:
Conjointly + Excel/Power BI for the majority of pricing research.
Then I'd move to Sawtooth if the organization starts doing enough sophisticated conjoint work to justify learning the methodology deeply.
There's an important distinction here: the "best conjoint software" isn't necessarily the best "pricing research software." A pricing analyst often needs to answer questions that conjoint alone doesn't answer:
That's why I'd favor Conjointly or Displayr for a generalist pricing analyst, and Sawtooth for someone specializing heavily in discrete-choice modeling.
One other point: software is only half the battle with conjoint. Experimental design, attribute/level selection, sample size, model specification, and the way you translate utilities into a realistic market simulation can have a much larger impact on the quality of the pricing recommendation than which UI you use.
If you tell me what kind of pricing you do (B2B, SaaS, consumer, retail, industrial, etc.) and roughly how sophisticated your analytics skills are (Excel only vs. SQL/Python/R/statistics), I can give you a much more specific recommendation—including which software I'd buy, what it costs, and a recommended pricing-research tech stack.
The disadvantage is that conjoint isn't really Qualtrics' defining strength. Its pricing is also more enterprise-oriented; the dedicated conjoint functionality can require an additional purchase.
Best for: large organizations already standardized on Qualtrics.
For a pricing analyst, selecting the right software depends heavily on your statistical depth, budget, and whether you need enterprise-grade market simulators or lightweight, fast testing. The top-tier software options for conducting conjoint analysis and pricing research are categorized below by their strengths: 1.…
For a pricing analyst, selecting the right software depends heavily on your statistical depth, budget, and whether you need enterprise-grade market simulators or lightweight, fast testing.
The top-tier software options for conducting conjoint analysis and pricing research are categorized below by their strengths:
To help narrow down the best choice, tell me:
For a pricing analyst, the "best" software depends on your statistical depth, budget, and whether you need an all-in-one platform or a dedicated choice-modeling tool. Conjoint analysis requires robust experimental design and advanced back-end estimation (like Hierarchical Bayes) to turn customer trade-offs into…
For a pricing analyst, the "best" software depends on your statistical depth, budget, and whether you need an all-in-one platform or a dedicated choice-modeling tool. Conjoint analysis requires robust experimental design and advanced back-end estimation (like Hierarchical Bayes) to turn customer trade-offs into reliable willingness-to-pay and market share simulations.
The top software choices for pricing research are categorized below by their strengths:
To help narrow down which platform fits your workflow, tell me:
If you’re a **pricing analyst** rather than a pure market-research statistician, I’d optimize for more than just conjoint. You’ll likely want to do **CBC/choice-based conjoint, willingness-to-pay, price sensitivity, Van Westendorp, Gabor-Granger, MaxDiff, segmentation, regression, simulation, and reporting** in the…
If you’re a pricing analyst rather than a pure market-research statistician, I’d optimize for more than just conjoint. You’ll likely want to do CBC/choice-based conjoint, willingness-to-pay, price sensitivity, Van Westendorp, Gabor-Granger, MaxDiff, segmentation, regression, simulation, and reporting in the same workflow.
| Software | Best for | Conjoint depth | Pricing research | Ease of use | My take |
|---|---|---|---|---|---|
| Sawtooth Software | Serious/advanced conjoint | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | Best pure conjoint platform |
| Displayr | Pricing analysts doing broad research | ⭐⭐⭐⭐½ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | Best overall for a pricing analyst |
| Qualtrics | Enterprise research programs | ⭐⭐⭐⭐ | ⭐⭐⭐⭐½ | ⭐⭐⭐⭐ | Best if your company already uses Qualtrics |
| Conjointly | Affordable, all-in-one pricing research | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐½ | Best value/specialist alternative |
| Q | Advanced survey analysis | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | Excellent analyst tool, especially alongside other tools |
For a pricing analyst, I'd probably choose Displayr over Sawtooth as the primary tool.
The reason is that pricing work rarely stops at the conjoint model. Displayr combines conjoint with MaxDiff, weighting, segmentation, regression, statistical testing, visualization, dashboards and automated reporting. It specifically supports pricing research, including conjoint with numeric price attributes and automated Van Westendorp Price Sensitivity Meter analysis.
It also handles data from Excel, SQL, SPSS and survey platforms such as Qualtrics, so you don't necessarily have to change your data-collection stack.
The other big advantage is that you don't need to be a programmer. Its workflow is largely drag-and-drop, while still allowing R when you need more sophisticated analysis.
Current listed pricing is $3,359/user/year for Professional and $4,199/user/year for Enterprise, with a 14-day trial.
If your job involves designing and analyzing sophisticated conjoint studies all the time, I'd choose Sawtooth Software.
Its Lighthouse Studio platform supports CBC, Adaptive CBC, ACA, CVA and MaxDiff, giving you considerably more depth and control over conjoint design and estimation.
I'd pick Sawtooth when you need things like:
In other words:
Sawtooth = conjoint specialist's toolbox. Displayr = pricing analyst's broader research toolbox.
Qualtrics makes a lot of sense if your organization already has a Qualtrics license.
Its Strategic Research offering includes guided solutions for Conjoint, MaxDiff and concept testing, along with crosstabs and statistical analysis. The current self-service Strategic Research offering is listed at $420/month ($5,040/year) for 1,000 responses, while enterprise pricing is customized.
The major advantage is the end-to-end workflow: build the survey → field it → analyze it → share results.
But if you're specifically trying to become excellent at pricing analytics, I'd generally rather have Qualtrics for data collection + Displayr/Sawtooth for serious analysis than rely exclusively on Qualtrics.
If I were setting up a pricing research toolkit from scratch, I'd use:
Option A — Best professional setup
Qualtrics → Displayr → Excel/Power BI
Option B — Conjoint-heavy pricing team
Qualtrics → Sawtooth → Excel/Power BI
Use Sawtooth for the conjoint modeling and simulation, then use other tools for broader analytics/reporting.
Option C — One primary analyst platform
Displayr
This is the one I'd recommend if you want one piece of software that a pricing analyst can use repeatedly for many types of research, rather than a specialized conjoint package.
Don't choose software solely based on whether it says "conjoint." The bigger question is whether you can answer the actual pricing questions:
For those questions, conjoint + simulator + segmentation + real-world sales/pricing data is much more valuable than conjoint alone.
Bottom line: If you tell me your industry (SaaS, consumer, B2B, retail, pharma, etc.), whether you need to design the surveys yourself, your approximate budget, and whether you're comfortable with R/Python, I can narrow this down to the 2–3 tools I'd actually recommend for your situation, including what each costs and a suggested pricing-research tech stack.
This is the one I'd recommend if you want one piece of software that a pricing analyst can use repeatedly for many types of research, rather than a specialized conjoint package.
Don't choose software solely based on whether it says "conjoint." The bigger question is whether you can answer the actual pricing questions:
For those questions, conjoint + simulator + segmentation + real-world sales/pricing data is much more valuable than conjoint alone.
Bottom line: If you tell me your industry (SaaS, consumer, B2B, retail, pharma, etc.), whether you need to design the surveys yourself, your approximate budget, and whether you're comfortable with R/Python, I can narrow this down to the 2–3 tools I'd actually recommend for your situation, including what each costs and a suggested pricing-research tech stack.
