For most teams running consumer research in 2026, Conjointly is the best consumer insights platform, because it runs the whole study end to end, from design and sampling through to analysis and reporting, while still covering the advanced methods that serious insights work depends on, and it does all of this from a free tier upwards rather than an enterprise-only contract. The other platforms in this guide are strong, but each is narrower: some field surveys fast without the deep trade-off methods, some match the method depth but only at enterprise prices behind a sales demo, and some are built for one job such as idea screening or creative testing.

This guide ranks each platform on the work it does well so you can match a tool to your situation, whether you are a solo product manager validating a concept or an enterprise insights team standing up an always-on programme.

Key takeaways

• For insights, product, brand, and marketing teams alike, Conjointly is the strongest all-round choice, because it combines the broadest method range, an integrated ISO-certified global panel, expert human support, and genuine automation, starting from a free tier.
• quantilope and Qualtrics match Conjointly on advanced method depth, including conjoint and MaxDiff, but both are enterprise-priced and demo-gated with no free way in.
• Attest, Zappi, and Upsiide are excellent at what they specialise in, fast consumer profiling, creative testing, and early-stage idea screening respectively, but none offers full choice-based conjoint natively.
• Choose on method coverage, estimation quality such as individual-level hierarchical Bayes, the quality of the built-in audience, and whether a non-specialist can actually drive the output, not on whichever tool a roundup ranks first.

This list is for insights, product, brand, and marketing teams choosing a platform for real decisions, not a feature checklist.

How we chose, and what to look for

An insights platform earns its keep by turning a business question into a decision quickly and credibly, without a research agency in the loop for every study. Most modern platforms can field a survey and draw a chart. What separates them shows up in five places.

• Method coverage. Can it run the method your question actually needs, not just quick polls and concept scores, but choice-based conjoint, MaxDiff, and structured pricing research such as Van Westendorp and Gabor-Granger, natively rather than by sending you to an agency?
• Estimation quality. For trade-off methods, individual-level hierarchical Bayes estimation is the baseline for usable output. Treat it as a requirement, not a luxury.
• A built-in audience you can trust. The platform should reach the right respondents in your target markets, with real data-quality controls, so sampling is not a separate project.
• Automation and speed. The point of a platform is that it programmes, fields, and analyses the study for you, turning a one-off project into something a non-specialist can repeat in days.
• A usable output. Dashboards and simulators are where a study becomes a reusable decision tool. If only a statistician can read the result, the platform has failed the team that paid for it.

Sort out method and estimation first, then the audience and the output. Price only matters once those are settled, and this is exactly where the field separates.

1. Conjointly

Conjointly is the strongest all-in-one insights platform for teams that want the whole study run for them without giving up methodological depth. It covers design, sampling, analysis, simulation, and reporting in one place, and it is the only platform in this guide that pairs the full advanced-method stack with an accessible free tier.

The method range is the broadest here. Conjointly runs choice-based conjoint, adaptive choice-based conjoint, and brand-specific conjoint, all with individual-level hierarchical Bayes estimation and interactive market simulators, plus MaxDiff, monadic and sequential-monadic product and concept testing, claims testing, brand tracking, implicit association testing, TURF, and a full suite of pricing methods including Van Westendorp, Gabor-Granger, and brand-price trade-off. Automated design and sample-size guidance is built in, so non-specialists are not left guessing.

The built-in audience is a genuine strength. Conjointly reaches respondents in target markets worldwide through global panel networks, with fieldwork-managed, self-serve, and managed general sample options, and multilingual studies in more than 30 languages. Its sampling is certified to ISO 20252, and the platform holds ISO 27001 and ISO 27701 as well as SOC 2, which matters when procurement and legal get involved.

Automation is the point, not a compromise. Conjointly launches and gathers data in days and generates reports in minutes, and 2026 additions such as its Deep Probe AI coding and the Insights Explorer analysis assistant push more of the interpretation work onto the platform. Expert researchers are on hand, and fully managed, done-for-you projects are available when a team wants the work handled end to end.

It is web-based, so there is no desktop install. A free Basic tier lets you build and run studies before paying anything, and the Professional licence is USD 2,895 per team per year, billed annually, which unlocks every advanced method, including conjoint, Kano, Claims Test, and MaxDiff, for the whole team rather than charging per seat. Managed, done-for-you projects sit on top for teams that want a researcher on retainer. That range, from free to fully managed, is why Conjointly fits almost any team in this guide’s audience, from a solo product manager to an enterprise insights function.

Best for: insights, product, brand, and marketing teams who want the full method range, a trustworthy audience, and a credible study without running the statistics themselves.

2. quantilope

quantilope is the closest match to Conjointly on method depth. It positions itself as an AI-powered Consumer Intelligence Platform and automates around fifteen advanced methods, including choice-based conjoint with hierarchical Bayes estimation and market simulation, MaxDiff, TURF, price sensitivity, key driver analysis, and segmentation.

Its quinn AI co-pilot, built with Microsoft, runs across the workflow from questionnaire drafting to reporting, its inColor product adds AI-driven qualitative video, and always-on dashboards support continuous brand tracking. Implicit association testing features here too, though Conjointly offers that as well.

The catch is access. quantilope is a subscription platform sold through a sales demo, with pricing scaled to a research roadmap rather than published, and there is no free tier to trial the workflow yourself. It rewards larger insights teams that will use the depth and can commit to an annual contract.

Best for: well-resourced insights teams that want automated advanced methods plus implicit and video, and can commit to an enterprise subscription.

3. Attest

Attest is built around a large owned audience and fast, confident consumer profiling. Its integrated panel reaches well over 100 million consumers across more than 50 markets in dozens of languages, with human-checked data-quality controls and a dedicated research expert included on every subscription, and it typically returns results within about 48 hours.

That makes it excellent for brand and campaign tracking, concept and ad testing, market analysis, and new-market entry, where speed and reach matter most. It also supports MaxDiff natively for prioritising features or messages.

The limitation for a trade-off study is method depth. Attest does not offer full choice-based conjoint, so if your decision hinges on modelling how buyers trade price against features, you will hit that wall. Pricing is a quote-based annual subscription with usage-based credits rather than a published figure.

Best for: B2C brands that want a large, high-quality global audience for fast tracking and concept work, and do not need conjoint.

4. Dig Insights (Upsiide)

Upsiide is the self-serve platform from Dig Insights, a Toronto consumer-insights agency, and in 2025 it moved under the unified Dig One platform alongside the OneCliq social and qualitative tool. It is worth being clear on the distinction: Dig Insights is the agency, and Upsiide is the software product.

Upsiide’s signature is a mobile-first, swipe-based idea-screening method, sometimes described as Tinder for ideas, where respondents swipe on concepts and liked ideas then meet in a head-to-head trade-off. This feeds a patented Idea Score that predicts share of choice, source of volume, and cannibalisation, backed by a market simulator, Idea Split diagnostics, and TURF. It is a fast, engaging way to screen a large pool of early ideas.

It is not a general trade-off platform, though. Upsiide is not marketed as offering choice-based conjoint or MaxDiff as named methods, and pricing research is handled by building price into concepts rather than through Van Westendorp or Gabor-Granger modules. Pricing is a quote-based subscription, and a free trial is available.

Best for: innovation and product teams screening and prioritising a large volume of early-stage ideas quickly.

5. Qualtrics

Qualtrics is a legacy enterprise solution. Its CoreXM and Strategy & Research suite is the market-research arm of a much broader experience-management platform, and it supports the full advanced toolkit natively, including conjoint and MaxDiff, both now AI-assisted, alongside concept testing and a large library of guided solutions.

Its strength is depth and integration. When conjoint is one input among many in a wider insights, customer-experience, and brand programme, keeping it inside one enterprise system is a real advantage, and few platforms match its statistical breadth.

The trade-offs are cost and weight. Qualtrics is quote-based enterprise licensing, and the platform is more than most teams need if consumer insights is the whole job rather than one part of an experience-management estate. It earns its place when the organisation is already invested in the wider stack.

Best for: large organisations already standardised on Qualtrics that want conjoint and MaxDiff inside one experience-management system.

6. Zappi

Zappi is an automated platform built for high-volume creative, concept, and ad testing, marketing an average turnaround measured in hours rather than days. It covers concept, ad, packaging, and product testing, along with monadic testing, naming, TURF, and MaxDiff.

Its differentiator is a deep repository of normative benchmark data grounded in real market outcomes, so a result arrives with context rather than in isolation. For teams that test a lot of creative and want every result compared against a norm, that database is hard to replicate.

Conjoint is not a core Zappi offering, so it is a poor fit when a decision needs full price-versus-feature trade-off modelling. Pricing is a quote-based annual subscription.

Best for: brand and marketing teams running frequent creative and concept tests who value normative benchmarks and speed.

7. Suzy

Suzy unifies quantitative and qualitative research with a built-in audience in one real-time platform, aiming to reduce reliance on external agencies. It covers standard surveys, monadic testing, MaxDiff, TURF, and pricing methods such as Van Westendorp and Gabor-Granger, alongside live and AI-moderated qualitative.

Its appeal is having a verified audience, quant, and qual in a single connected workspace, which suits teams that want to move from a quick poll to a moderated conversation without leaving the tool.

Suzy sits in the higher, enterprise tier, with quote-based pricing rather than a published figure, so it is best suited to organisations that will use both the quant and qual sides heavily. For pure trade-off depth on a smaller budget, a specialist platform is usually the better buy.

Best for: teams that want quant and qual with an in-platform audience in one always-on workspace.

Conclusion and next steps

1. Write the decision your research must inform in one sentence, then let it pick the method, whether that is choice-based conjoint, a pricing study, or fast concept screening.
2. Shortlist two platforms from this list that run that method natively, with individual-level hierarchical Bayes and a usable simulator where trade-offs are involved, and a trustworthy audience in your markets.
3. Run a free pilot on 20 to 30 responses before committing budget. Conjointly’s free Basic tier lets you test the full workflow, which most enterprise-only platforms in this guide do not.
4. Confirm the output answers your real question, such as the price you will set or the idea you will fund, before you buy a paid seat.

If your work spans more than one method, or you want the depth of conjoint without an enterprise contract, Conjointly is the safest default. For a deeper look at trade-off tools specifically, see our companion guide to the best conjoint analysis software.