10 Best Suzy Alternatives and Competitors for Consumer Research

For multi-market self-serve surveys, look at Attest. For automated concept and ad testing with norms, Zappi. For automated advanced quant, quantilope. For a large self-serve panel, Toluna Start. For low-cost mobile surveys, Pollfish. For an enterprise suite with published entry pricing, Qualtrics. For live group conversations, Remesh. For live interviews and focus groups, Discuss.io. For AI-moderated interviews at scale, Listen Labs.

And if your creative and concept decisions depend on measured attention and emotion, Decode records eye tracking and facial coding from real participants viewing your creative.

Not sure which fits? Talk to our research team and bring the study you’re planning next.

Suzy alternatives compared at a glance

Consumer research platforms compared, pricing as of October 2026. Every cell comes from the vendor’s own pricing or feature pages; “Not stated” means the vendor doesn’t describe it there.

Book a demo of Decode to see an ad or pack test with eye tracking and facial coding measured on real viewers.

What changed at Suzy in 2026

On April 2, 2026, Suzy relaunched as a “decision engine” for enterprise marketing teams, built around three capabilities: Focus, Prove and Activate. In Suzy’s words, Focus filters signal from noise, Prove turns studies into a queryable resource, and Activate turns intelligence into outputs for each stakeholder.

The product family spans Suzy Insights (quant), Suzy Speaks (AI-moderated voice conversations), Suzy Live (interviews, focus groups and in-home usage testing), Suzy Audiences, Suzy Signals (market and trend signals) and Ask Suzy. Suzy also changed leadership in 2026: Bryan Silverman became CEO, and founder Matt Britton stayed on as non-executive chairman.

What it means for buyers: Suzy is positioning above agile surveys. Teams that only need fast quant may be paying for a broader platform. Teams that want one enterprise decision layer across research and market signals may find it a better fit than before.

Predicted vs measured attention: what each tool can tell you about your creative

There are three ways to learn how people respond to an ad or a pack.

Stated response. What people say they noticed or liked, in a survey or interview. It’s quick to collect, but it depends on what people remember and choose to report.

Predicted attention. AI-generated heatmaps that estimate where people are likely to look, without recording real viewers. Suzy describes its AI heatmapping this way: a predictive algorithm built on data from over a million eye tracking studies, with no consumer recruitment needed.

Measured attention and emotion. Eye tracking and facial coding recorded from real participants as they view the creative, second by second.

Why the difference matters: attention is scarce, and people can’t report it. Measuring real viewers’ gaze, Amplified Intelligence found that around 85% of the ads advertisers pay for don’t reach 2.5 seconds of active attention, the point at which its research finds attention starts to affect how long a brand stays in memory (2022). Predicted heatmaps are useful for fast iteration on early designs. Measured attention lets teams compare finished variants on what real people actually saw and how they reacted. Many teams use both: predicted heatmaps early, measured attention before launch.

Why teams look for Suzy alternatives

Five reasons come up again and again in reviews, buyer guides and Suzy’s own repositioning.

1. Contract size. Suzy’s enterprise plans are sold annually through sales, with buyer-reported contracts from the tens of thousands to well over $100,000 a year.

2. Fit after the relaunch. Teams that only need agile quant may not need a decision-engine platform.

3. Pricing model. Pre-committed research credits are hard to forecast for ad-hoc work.

4. Depth of qual. Some teams want a dedicated live or AI-moderated qual tool.

5. Measurement. Predicted attention and stated response aren’t the same as measured reaction on creative.

How to choose a Suzy alternative

Check each tool against five things:

1. Research mix: quant only, qual only, or both in one platform.

2. Speed and panel: an owned panel versus aggregated panels, markets covered, and bot and fraud controls.

3. Methods: concept, creative and pack tests, monadic, MaxDiff, brand tracking, and live and AI-moderated qual.

4. Signal layer:

   • Say: survey and interview answers.

   • Do: choices and behavior.

   • Feel: measured eye tracking, facial coding, voice emotion and attention, versus predicted heatmaps.

5. Pricing model: annual license, credits, per complete, or self-serve plans.

See measured attention on your own creative.

The 10 best Suzy alternatives

1. Decode by Entropik: best for creative and concept tests with measured attention and emotion

Suzy tells you fast what consumers say, and predicts where they may look. Decode measures where real participants looked and how they reacted.

Best for: brand, creative and insights teams whose ad, pack and concept decisions depend on measured attention and emotion, not only stated preference.

Key features

• Ad, pack, concept and shelf tests with real eye tracking (96% accuracy), facial coding (90%+ accuracy, 62 expressions), voice emotion and attention, captured through a standard webcam.

• Surveys alongside those tests, plus AI Creative Insights for predictive attention scoring on early designs.

• AI Moderator for interviews at scale, in 70+ languages, and live interviews and focus groups recorded or synced into the platform.

• Dedicated research agents for different use cases, so each type of study is handled by an agent built for it. Remy runs creative testing; Cole runs concept validation.

• Insights Hub as your research repository, and 103M+ participants in 151 markets through Cint and Dynata, or your own audience.

Pros

• Compares creative variants on what real viewers actually saw and felt.

• Predicted and measured attention in one platform, so early designs and finished assets use the same workflow.

• Built on 17 patents and used by 150+ global brands, with first evidence delivered in under 48 hours.

Good to know

• Decode has no market-signals or trend layer like Suzy Signals.

• Webcam capture for gaze and emotion starts only after a participant gives consent.

• Enterprise plans are tailored to your research volume, and you can start on the Free plan (100 responses a month).

Pricing: Free plan published; Enterprise is quote-based.

Choose Decode if creative and concept decisions depend on measured attention and emotion, not only stated preference. For the full head-to-head,

See our Decode vs Suzy comparison

Bring your next ad to Remy: book a demo, or start free.

2. Attest: best for multi-market self-serve surveys

Attest runs consumer surveys across many markets from one platform, with research experts on hand.

Best for: brand and marketing teams running surveys in several countries.

Key features: a multi-panel audience of 150M+ people in 59 markets, 70+ languages, video responses, Explore AI-moderated interviews (launched in 2026), unlimited seats and a designated research expert.

Pros: wide market reach with one flat audience fee, and quant and AI-moderated qual in one platform.

Cons: quant-first, and video responses are limited to English-speaking respondents in the UK and US. Attest publishes its own Suzy comparison page, so check its claims independently.

Pricing: annual subscriptions by credit volume (Basic, Standard, Elite and Custom), with prices quoted. One credit is one answer to one question from one person.

Choose Attest if you need fast surveys across many markets.

Read more: Qualtrics alternatives

3. Zappi: best for automated concept and ad testing with norms

Zappi runs standardized concept and ad tests and benchmarks results against norms.

Best for: CPG and consumer brands that test concepts and ads continuously.

Key features: Activate It for concepts, Amplify for TV, digital and social ads, curated norms refreshed annually, second-by-second emotion capture with emojis, Amplify AI for fast predictive testing of social video, and AI concept creation agents.

Pros: comparable results across every test, and a growing database of norms.

Cons: enterprise subscription pricing, and system-led methods leave less room for custom designs.

Pricing: platform subscription (Premium or Enterprise) plus research credits. Zappi’s own knowledge base puts Amplify TV tests at about $7,000 to $9,000 and other solutions at about $2,500 to $5,000.

Choose Zappi if you want standardized tests and norms across your portfolio. For more, see our Zappi alternatives guide.

4. quantilope: best for automated advanced quant

quantilope automates advanced research methods in one platform.

Best for: insights teams that run conjoint, MaxDiff and segmentation often.

Key features: 15 automated methods, including choice-based conjoint, MaxDiff, TURF, implicit association tests, Van Westendorp and key driver analysis, brand and ad tracking, and quinn, its AI research partner.

Pros: advanced methods without a statistician on every project.

Cons: quant-first, with qual limited to video responses, and no eye tracking.

Pricing: Business plan from $2,300 a month (three users); Pro and Enterprise quoted.

Choose quantilope if advanced quant methods are your main need.

Read More: Dovetail alternatives

5. Toluna Start: best for a large self-serve panel

Toluna Start combines a self-serve research platform with Toluna’s own global panel.

Best for: teams that want panel reach and automated solutions in one place.

Key features: an 81M+ member panel in 70 markets, automated solutions across concepts, packs, creative and brand health, QProbe AI follow-up questions, qualitative research with expert moderation, and synthetic personas for fast ad and claims testing.

Pros: one of the largest owned panels, with self-serve or full-service support.

Cons: the breadth can make setup complex, and its fastest ad tests use synthetic personas rather than real respondents.

Pricing: quote.

Choose Toluna Start if panel reach across many markets matters most.

Also Read: Listen Labs alternatives

6. Pollfish: best for low-cost mobile surveys

Pollfish runs DIY mobile-first surveys with pay-per-response pricing.

Best for: marketers and researchers who need fast, low-cost quant.

Key features: access to 250M+ consumers, a free AI survey builder, a Conversational AI question type for AI-led follow-ups, MaxDiff and conjoint as paid add-ons, and full-service projects through its parent company, Prodege.

Pros: no subscription, and published per-response pricing.

Cons: light qual, and advanced methods cost extra per response. Pollfish publishes its own Suzy competitors page, so check its claims independently.

Pricing: from $0.95 per response; full-service projects from $5,000 per market; enterprise packages from $10,000 a year.

Choose Pollfish if you need cheap, fast surveys.

7. Qualtrics: best enterprise suite with published entry pricing

Qualtrics runs research, CX and EX programs on one platform, with a self-serve research tier.

Best for: enterprises that want advanced survey logic and governance.

Key features: advanced survey logic, conjoint, MaxDiff, video diaries, concept testing, crosstabs and statistical analysis.

Pros: depth of methods and enterprise governance, plus a published entry price.

Cons: complexity and admin overhead, and panel is sourced separately.

Pricing: a free account (one user, three active surveys, 500 responses). Strategic Research is $420 a month, billed annually at $5,040, for 1,000 responses shared across all users. Enterprise programs are quoted.

Choose Qualtrics if you need an enterprise research suite.

See our Decode vs Qualtrics.

8. Remesh: best for live group conversations at scale

Remesh runs live online conversations with hundreds of participants at once, who vote on each other’s answers. It’s an alternative to Suzy Live for group work.

Best for: insights teams that want to hear from a large group quickly.

Key features: live conversations with hundreds of participants, async Flex conversations with up to 5,000, Video for one-to-one and small-group interviews, real-time AI analysis of themes and agreement, and 30+ languages.

Pros: focus-group depth at survey scale.

Cons: strongest for group sessions (its one-to-one AI interviews are in closed beta), and pricing is quoted.

Pricing: quoted, as a single project or a software subscription.

Choose Remesh if you need consensus from hundreds of people in one session.

9. Discuss.io: best for live interviews and focus groups

Discuss.io runs live interviews, focus groups, AI interviews and surveys on one platform.

Best for: insights teams that want live conversations with stakeholders in the backroom.

Key features: live IDIs and focus groups in 100+ markets with a private observer room and live translation, AI interviews in 50+ languages, built-in panels, and Discuss Intelligence, a searchable research library.

Pros: live human moderation with strong stakeholder tools.

Cons: pricing isn’t published, and live scheduling limits scale.

Pricing: quoted plans for brands and agencies.

Choose Discuss.io if live qual is your main gap. For more,

Read more: Zappi alternatives

10. Listen Labs: best for AI-moderated interviews at scale

Listen Labs runs AI-designed studies, recruits participants, moderates interviews and writes the report. It’s a direct comparison point for Suzy Speaks. Salesforce signed a definitive agreement to acquire Listen Labs on September 29, 2026, with closing expected in the fourth quarter of Salesforce’s fiscal year 2027.

Best for: teams that want AI interviews at high volume with built-in recruiting.

Key features: AI-moderated video, voice and text interviews in 120+ languages, a 50M+ participant network, emotion scoring from voice, face and words, and auto-generated reports.

Pros: recruiting is built in, and studies run from question to report quickly.

Cons: no published prices; larger organizations buy through a demo and pilot.

Pricing: quote only.

Choose Listen Labs if AI interviews at scale are your main need. For more

Read More: Discuss.io alternatives

Suzy pricing in 2026: what you can confirm and what you can’t

Suzy doesn’t publish enterprise contract prices. Its pricing page for the new platform beta lists a free tier and credit-based Pro and Team plans (an estimated $150 and $200 a month at 100 credits), while Enterprise is sold annually through sales. Buyer data from Vendr puts the median enterprise contract at about $99,000 a year (reported). Pricing as of October 2026.

What Suzy publishes

What others report

Vendr’s buyer data puts the median Suzy contract at about $99,000 a year, with a range of about $35,800 to $183,600 (reported, not confirmed by Suzy). Older pages cite a median near $88,000. Suzy’s own pricing page now shows a free tier and monthly plans, so check any directory figures against suzy.com/pricing before relying on them.

What drives the cost

Research credits, audiences and markets, the number of Suzy products, seats, services and contract length.

Where Decode fits on value

Decode also uses custom pricing for Enterprise, so this isn’t a cheaper-price claim. It’s a scope comparison. A Suzy contract buys speed, an owned panel and broad methods. A Decode plan covers creative and concept tests with measured attention and emotion, AI Moderator, research agents for different use cases, and Insights Hub.

If you’re renewing a Suzy contract, get a Decode quote for the same scope.

Which Suzy alternative is right for you?

Decision guide: ten reasons for reconsidering Suzy, one shortlist each

Find your reason for reconsidering Suzy on the left, and start your shortlist with the tool on the right. If two apply, let the decision with the most riding on it choose.

Frequently asked questions

1. How much does Suzy cost?

Suzy publishes a free tier and credit-based Pro and Team plans for its new platform (an estimated $150 and $200 a month at 100 credits), but not enterprise contract prices. Vendr’s buyer data puts the median enterprise contract at about $99,000 a year, with a range of about $35,800 to $183,600 (reported, not confirmed by Suzy).

2. What is the Suzy Decision Engine?

It’s the enterprise platform Suzy launched on April 2, 2026, built around three capabilities: Focus, Prove and Activate. It connects Suzy’s research products, market signals and AI layer so teams can move from intelligence to decisions.

3. Who are Suzy’s main competitors?

For multi-market surveys, Attest. For automated concept and ad tests, Zappi. For advanced quant, quantilope. For a large self-serve panel, Toluna Start. For low-cost surveys, Pollfish. For an enterprise suite, Qualtrics. For group conversations, Remesh. For live qual, Discuss.io. For AI interviews, Listen Labs. For measured attention and emotion, Decode.

4. Does Suzy have AI interviews?

Yes. Suzy Speaks runs AI-moderated voice conversations with verified consumers, and its AI moderator probes and clarifies in real time.

5. Is Suzy the same company as Crowdtap?

They share a history. Crowdtap began as a platform for managing brand influencers; in 2018 the business split, with Crowdtap remaining the consumer-facing app and the B2B insights side becoming Suzy. Crowdtap is now Suzy’s proprietary consumer audience.

6. Is Decode a good Suzy alternative?

Yes, when creative and concept decisions depend on measured attention and emotion. Decode records eye tracking and facial coding from real participants viewing your creative, and runs surveys and AI-moderated interviews alongside.

7. What is the difference between AI heatmaps and eye tracking?

AI heatmaps predict where people are likely to look, using a model trained on past eye tracking data, without recording real viewers. Eye tracking records where real participants actually looked, second by second. Heatmaps are fast for early iteration; eye tracking lets you compare finished variants on real attention.

Suzy review: what it does best and where Decode fits

Suzy is built for speed at enterprise scale. It delivers statistically significant consumer answers in hours from its proprietary Crowdtap audience of 1MM+ screened and verified consumers, with multi-step quality checks against bots and fraud. It covers quant, AI voice conversations, live interviews and focus groups, in-home usage testing and market signals in one platform, and its AI layer cites the sources behind every answer. 350+ enterprises have used it, including Microsoft, Google and PepsiCo.

Stay on Suzy if you run a high-cadence agile research program across teams, and you want one enterprise decision layer with an owned panel.

Where Suzy stops is a method difference, not a product flaw. Its attention insights are predicted, and reaction comes from what consumers say, including the tone of their voice in Suzy Speaks. It doesn’t record real eye tracking or facial coding on your creative. That’s where Decode fits: for ad, pack and concept decisions where measured attention and emotion should decide between variants.

Plenty of teams run both. Suzy handles fast, frequent quant and broad consumer signals, and Decode handles the creative and concept tests where measured reaction matters. For the full head-to-head, see our Decode vs Suzy comparison.

Find the Suzy alternative that fits your research

Multi-market surveys? Attest. Concept and ad tests with norms? Zappi. Advanced quant? quantilope. A big panel? Toluna Start. Low-cost surveys? Pollfish. An enterprise suite? Qualtrics. Group conversations? Remesh. Live qual? Discuss.io. AI interviews? Listen Labs. Need to see what real viewers looked at and how they reacted? That’s Decode.

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