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15 Consumer Insights Companies: Methods & Services

A shortlist for purchase data, audience profiles, interviews and simulated studies, with 15 provider scopes and pricing models.

Turning different consumer evidence into a decision.

Consumer insights companies help you understand what people buy, why they choose and how they may react to a new offer. Some track purchases or audiences; others run human studies or simulate responses. Compare these 15 providers by the evidence you need, the work included and the total quote. Use our provider comparison hub when the shortlist narrows to two simulated-audience providers.

Sapien combines simulated surveys, interviews and comparison tests with findings about buyer groups and recommendations. Choose a provider for the evidence you need: purchases, firsthand experience, ongoing audience measures or simulated reactions to a defined offer.

Book a demo to check the responses and buyer-group findings behind a recommendation. See our comparisons with human research to judge whether the simulated task fits your question.

Compare the whole quote: who the audience covers, what you receive, interpretation, sample or access charges and the work left for your team.

Compare the companies · Read our foldable iPhone case study

Consumer insights companies compared

This summary groups the providers by research job. Public offers were checked October 24, 2026. Timing claims apply to the named workflow. Ask for the whole schedule and quote, including sample or simulation setup, analysis and revisions.

Provider

Method, commercial model, timing and fit

NIQ

Method / source: Measured retail point-of-sale and ecommerce data; RMS is not a synthetic respondent panel
Pricing model: Custom quote; data-access term and services to confirm.
Turnaround: Scope-dependent; confirm in quote.
Best use case: Retail sales, share, price, promotion and distribution measurement.

Circana

Method / source: Retail sales and consumer purchase measurement plus analytics; survey offerings are separate
Pricing model: Custom quote; platform/data package and service inclusions to confirm.
Turnaround: Scope-dependent; confirm in quote.
Best use case: Retail/shopper performance and CPG brand comparisons.

Numerator

Method / source: Receipt/transaction-linked household panel data and new surveys of verified buyers
Pricing model: Custom quote; platform access, sample and research billing to confirm.
Turnaround: Verified Voices advertises results in as little as a few hours; eligibility/sample affect completion.
Best use case: Purchase-linked buyer targeting and household/brand behavior.

GWI

Method / source: Syndicated human-survey data; Synthetic Audiences generate modeled answers grounded in those data
Pricing model: Per-seat platform; consumption-priced API/MCP; bespoke research quote; Synthetic Audiences in relevant plans.
Turnaround: Synthetic Audiences says answers in seconds; bespoke/new fieldwork is scope-dependent.
Best use case: Audience profiling, media/attitude evidence and separately scoped modeled exploration.

YouGov

Method / source: Human panel surveys plus existing Profiles/BrandIndex audience and tracking data
Pricing model: Self-serve surveys priced per complete; Profiles/BrandIndex commercial terms require scope.
Turnaround: Surveys Self-Serve advertises results within 24 hours; other products scope-dependent.
Best use case: Targeted human surveys, audience profiling and recurring brand tracking.

Brandwatch

Method / source: Existing public online conversation and optional enterprise-held evidence; AI-assisted analysis
Pricing model: Standard-to-enterprise plans; custom quote, no public Consumer Research tariff verified.
Turnaround: Immediate access to existing archive; custom analysis scope-dependent.
Best use case: Social listening, conversation trends and brand monitoring.

Ipsos

Method / source: Human participants; custom qualitative/quantitative research and fieldwork
Pricing model: Custom quote; no public tariff on the reviewed service pages.
Turnaround: Scope-dependent; confirm in quote.
Best use case: Multimarket custom research and human qualitative investigation.

Kantar

Method / source: Human qualitative research; Marketplace offers survey-based and separately identified AI-model tests
Pricing model: Custom services by quote; Marketplace pay-as-you-go or bulk/prepaid commitment.
Turnaround: Scope-dependent; confirm in quote.
Best use case: Brand, creative and innovation research; select the actual human or modeled product.

Curion

Method / source: Human sensory/product-use, qualitative and quantitative research
Pricing model: Custom project quote; public tariff/billing term not specified.
Turnaround: Scope-dependent; confirm in quote.
Best use case: Taste, texture, product handling, sensory and packaging experience.

Attest

Method / source: Human survey and AI-interview participants through Measure/Explore; researcher support
Pricing model: Subscription sized by credits, with add-ons/custom scope; public currency price not given.
Turnaround: Scope-dependent; confirm in quote.
Best use case: Recurring consumer surveys and connected interview follow-up.

Zappi

Method / source: Consumer tests and benchmarks; AI analysis over connected consumer evidence
Pricing model: Platform subscription plus research-credit bundle; service package separate; project consultancy can be per project.
Turnaround: Scope-dependent; confirm in quote.
Best use case: Repeatable creative, concept/innovation and brand testing.

Outset

Method / source: AI-moderated interviews collect new human answers; Digital Twins are later modeled answers grounded in one interviewed person
Pricing model: Custom subscription; plan/add-ons and research support vary.
Turnaround: Twin conversations advertised in minutes; fresh human interview study is scope-dependent.
Best use case: Multimodal human interviews, researcher review and separately scoped recontact/twin exploration.

Listen Labs

Method / source: AI-led interviews with recruited human participants and source-linked reporting
Pricing model: Public fee/model not specified on reviewed homepage; request a quote.
Turnaround: Scope-dependent; confirm in quote.
Best use case: Recruitment, interviews and reporting for consumer or specialist audiences.

GetWhy

Method / source: AI-moderated human video interviews, recruitment and synthesis; self-service and managed-research scope differ
Pricing model: Public tariff/model not specified on reviewed pages; quote platform, recruitment and optional research services.
Turnaround: Managed page: 48 hours from first interview, design before clock. Self-serve page: typical 24–48 hours brief-to-report.
Best use case: Human qualitative/video evidence with automation and optional research support.

Sapien

Method / source: Modeled populations, not newly recruited human survey respondents.
Pricing model: Scoped project quote; no public list price verified.
Turnaround: Agree the study and revision timeline.
Best use case: A defined buyer decision with research support, where a justified modeled comparison fits the needed evidence.

A subscription, response charge and custom study buy different work. Our market research pricing guide shows how to compare the total cost and work included.

Data platforms and simulated research

An enterprise platform may supply existing retail or audience data, or tools for your team to run studies. Simulated research generates responses to a defined question. Check where answers come from and who designs, runs and explains the study. A managed simulated study may include research support. A software subscription may leave those jobs with your team.

Buy ongoing data access when the dataset answers your question and covers your market. Hire a managed research team when you need study design, recruitment or audience simulation, interpretation and a recommendation. Choose a platform when your researchers will run repeated studies. Check which services are included.

Keep the response source clear. Transactions record purchases. Surveys and interviews capture what people report. Public conversations reflect people who post. Simulated studies generate reactions for a defined audience. Ask each provider for a sample report, audience coverage and the work your team would still need to do.

See our consumer insight examples for four worked decisions that connect a finding with a specific offer change.

If you are selecting software for your own team, our consumer insights tools guide compares the work different tools help you complete. Use the provider comparison below when you need a partner or evidence source for the decision.

View an example study to check the audience, offer and findings before planning your own.

Consumer insights companies by research job

Company

Research job and deliverable

NIQ

Retail performance across markets and channels

Sales, share, price, distribution and promotion measures

Circana

Retail and shopper performance analysis

Sales, ecommerce, pricing, distribution and consumer datasets

Numerator

Purchase-linked household research

Receipt evidence, buyer profiles and targeted follow-up surveys

GWI

Syndicated audience profiles

Attitudes, media behavior, segment comparisons and AI exploration

YouGov

Audience profiles and brand tracking

Panel surveys, audience profiles and recurring brand measures

Brandwatch

Public online conversation

Searchable mentions, trends, alerts and dashboards

Ipsos

Custom studies with multinational fieldwork

Study design, local research, analysis and recommendations

Kantar

Brand, creative and innovation programs

Standardized tests, custom research and consulting

Curion

Physical and sensory product experience

Taste, texture, handling and in-home use evidence

Attest

Recurring consumer surveys with research support

Recruited participant responses, survey analysis and interview options

Zappi

Repeatable creative and innovation testing

Standardized tests, benchmarks and research support

Outset

AI interviews with researcher control

Participant interviews, transcripts, clips and reports

Listen Labs

Recruitment through interview reporting

AI-led interviews, source responses and stakeholder reports

GetWhy

Video research with optional managed delivery

AI-moderated interviews, multimedia reports and researcher review

Sapien

Complete consumer research and prediction using a data-grounded synthetic population

Surveys, interviews, tests, segment findings and recommendations

NIQ, Circana and Numerator: retail conditions and purchasing households

Example: a good brand score but falling sales

In this hypothetical case, a brand tracker looks good while sales fall. Before changing the campaign, check whether buyers stopped caring, could no longer find the product or no longer thought it worth the price. Choose evidence for that question: purchases, switching reasons or reactions to a different offer.

Start with NIQ or Circana when you need to understand sales, price, promotion or distribution. Check which retailers, categories, markets and periods they cover. Numerator links purchases to households that bought, switched or stopped buying, with purchase-linked surveys to ask why.

NIQ

Research job: retail measurement across markets and channels.

NIQ Retail Measurement Services tracks sales, share, price, distribution, sales speed and promotion across products, markets, channels and time. Use it for category reviews, commercial planning and post-launch measurement.

NIQ local execution. NIQ connects local retail sales with demographic and geographic context to inform distribution and promotion decisions.

NIQ’s Precision Areas dashboard links store sales, demographics and geography to local price, promotion, distribution and sales-speed opportunities.

Pricing is custom. Check which markets, retailers, categories, historical periods and data rights are included.

Scope: Retail Measurement Services alone does not test a new offer. NIQ separately offers BASES idea, concept, and claims testing; ask for that study when the decision is pre-launch.

Circana

Research job: connecting retail, ecommerce, pricing, promotion, media and category analysis.

Circana’s Liquid Data Go brings sales, share, distribution, ecommerce, pricing, surveys and store activation into one offer. Use it to examine a sales change alongside the pricing and distribution conditions around it.

Circana performance context. Circana supports looking at category sales alongside price, promotion, assortment and buyer behavior.

Circana’s Liquid Data Go dashboard combines sales, units, price, stores, distribution, brand and item performance in one category view.

Pricing is custom and a trial is advertised. Check market coverage, refresh rate, included surveys and exports.

Scope: A historical-data subscription is not the same purchase as a concept test. Circana separately offers Concept Testing for product ideas, packaging, pricing, and claims; ask for the testing method and outputs explicitly.

Numerator

Research job: linking household purchases with repeat buying, switching and follow-up research.

Numerator Insights links receipt data with household attributes and purchase behavior. Verified Voices can recruit recent buyers, people who stopped buying or competitors’ buyers based on observed purchase history, then ask what drove their decision.

Numerator purchase-linked surveys. Numerator connects purchase-confirmed recent and lapsed buyer groups with follow-up surveys to compare their reported experiences.

Numerator’s Smart Reporting workspace compares survey responses across purchase-linked buyer groups.

Pricing is custom. Check category and channel coverage, how many suitable people can answer and the cost of follow-up surveys.

Purchase-based targeting needs enough qualifying buyers in the selected category and period.

GWI and YouGov: audience profiles and brand measures

GWI and YouGov help check assumptions about your target customer. Compare GWI’s data with YouGov Profiles for interests, attitudes and media habits. BrandIndex tracks changing brand measures. Choose based on coverage of the people and markets your plan needs.

GWI

Research job: audience profiles, comparisons between groups, media planning and early exploration of consumer attitudes and behavior.

GWI profiles audiences by demographics, attitudes, reported behavior, brand relationships and media use. Agent Spark lets teams ask questions of that survey evidence, helping planners explore and compare the audiences behind a campaign.

GWI audience profiles. GWI profiles a defined audience using demographic, interest and attitude data from surveys.

GWI’s audience workspace compares a selected segment across attitudes, interests, audience size, response counts and audience share.

Pricing: GWI pricing separates platform seats, integration usage and custom research. Ask for the datasets, user permissions and Agent Spark or Synthetic Audiences access included in your proposal.

GWI’s surveys limit which markets and audience traits you can explore. Questions outside that coverage need other evidence or custom research.

YouGov

Research job: Connected audience profiles, brand tracking and survey access.

YouGov Profiles covers demographics, attitudes, media, brands and reported purchase behavior. YouGov says the product draws on more than 30 million panel members, two million data points and 49 markets. BrandIndex separately tracks 16 brand measures daily across more than 27,000 brands in 56 markets.

YouGov audience comparison. YouGov BrandIndex applies brand measures and competitor benchmarks to general or targeted audiences.

YouGov BrandIndex’s audience selector shows standardized brand-tracking results for core, category, custom and Profiles audiences.

Pricing: Ask for a Profiles quote and confirm the access tier. Self-serve surveys start at $1.50 per completion in the U.S. and £0.80 in Great Britain. Standard self-serve terms restrict publishing or citing results; discuss permissions or the researcher-supported route before buying a study.

Profiles, BrandIndex and custom surveys are separate products. Check what your subscription includes and how the products connect for your question.

Brandwatch: category language in public conversation

Brandwatch

Research job: Tracking what people say publicly across online sources.

A questionnaire reflects the questions your team knew to ask. Brandwatch searches public conversation for complaints, category language and competitor mentions. Read the underlying posts to see how people describe the issue before turning it into your next research question. Query design determines which conversations you find.

Brandwatch conversation analysis. Brandwatch connects online sources with search, filtering, classification and Iris synthesis. The query and source scope shape the captured conversation.

Brandwatch's Consumer Research dashboard shows Iris-assisted analysis of public conversation, with sources, queries, filters and classification rules shaping the view.

Pricing is custom. The quote depends on source coverage, historical access, mention volume and exports.

People who post may differ from your target audience. Use conversation volume to spot a topic to investigate. Use audience research or sales records to check its scale and business impact.

Ipsos and Kantar: interpretation across methods and markets

When tracking, sales data and interviews disagree, someone needs to explain why. Ipsos and Kantar connect evidence across methods and markets, design more research where needed and recommend an action. Full service buys that judgment as well as fieldwork.

Ipsos

Research job: important decisions that need several methods, global fieldwork and senior interpretation.

Use Ipsos for global segmentation, brand strategy, communications, innovation or mixed-method research that spans markets and disciplines.

Ipsos segmentation. Ipsos connects audience segmentation with targeting, media planning, messages and innovation.

Ipsos maps segmentation into media, messaging, positioning, innovation, targeting and changes in strategic direction.

Pricing is custom. Compare the team, markets, fieldwork, analysis and advice included.

Custom research needs close work with the assigned team. For a tightly defined repeatable test, compare it with a standard service.

Kantar

Research job: brand, creative, innovation and custom studies across countries.

Kantar combines category expertise, consulting and research delivery for programs that span brand, creative and innovation decisions. Kantar Marketplace offers standardized tests; custom projects add research and consulting for the wider question.

Kantar concept comparison. Kantar’s predictive trial, uniqueness and relevance measures offer three consistent lenses for evaluating concepts.

Kantar ConceptEvaluate AI compares concepts across predictive trial, uniqueness and relevance.

Pricing is custom. Check the product, markets, sample and consulting support included.

For a closer comparison of full-service agencies, specialist firms, managed platforms and self-service software, see our guide to market research services.

For a broader list of providers to assess, compare our market research companies.

Curion: the physical product experience

Curion

Research job: finding how a product performs when people taste, handle, prepare or repeatedly use it.

Curion runs sensory, central-location and in-home product research. Its dry-shampoo case combines in-lab work with home-use evaluation during application and wear. Twelve qualified panelists developed the sensory testing procedure. Curion reports significant differences on 32 of 62 sensory attributes; those reported differences can guide formulation and communication decisions.

Curion sensory diagnostics. Curion’s product testing connects tasting and consumer response with driver analysis that can inform formulation review.

Curion Score and Drivers Analysis show how product attributes affect predicted performance in a sensory study.

Pricing: Custom. Product variants, testing locations, home-use duration and handling requirements determine the scope.

Physical testing needs the product, logistics, people and time.

When the same home will try two products, use our IHUT research guide to check whether the first product affects the second and the starting conditions each needs.

Attest and Zappi: recurring studies and benchmarks

A single test gives a score. Repeated studies can help explain it and improve the next version. Attest and Zappi provide recurring studies with recruited participants. Compare their actual response sources and whether the testing benchmarks fit your brief.

Attest

Research job: repeated consumer surveys with research support, priced using credits.

Attest covers concept, creative, brand, audience and category studies with new responses from recruited participants. Measure handles quantitative work, Compass is an AI assistant for study design and analysis, and Explore adds AI-moderated interviews.

Attest open-text analysis. Attest supports AI summaries, keyword analysis and sentiment analysis of open-text answers, with the original responses available for inspection.

Attest summarizes open-text survey responses inside the reporting workflow.

Pricing: Quote-led annual plans use credits. One credit buys one answer to one question from one qualifying respondent; sample size and questionnaire length determine how much research the plan covers.

Credits alone do not tell you how many studies you can run. The answer also depends on question count, who qualifies, sample size, modules and support.

Zappi

Research job: repeated creative and innovation tests that can build useful benchmarks.

Zappi uses standard advertising, innovation and brand studies and keeps benchmarks from repeated work. Teams can compare new creative and concepts with earlier tests, then use what they learn in the next brief.

Zappi creative response. Zappi connects the creative sequence with emotional response and brand recall to help refine pacing and narrative.

Zappi’s ad-testing example connects the creative sequence with second-by-second emotional response and brand recall, helping teams review pacing and story.

Pricing: Contact sales. Ask for a quote covering your markets, sample and question volume. Confirm credit allowances, benchmark access, consulting, exports, user access and any migration of historical data.

A standard test needs a defined measurement question. Open-ended discovery needs another design.

Outset, Listen Labs and GetWhy: interviews with recruited people

These platforms use AI to interview people and keep recordings or transcripts behind the findings. Compare Outset for researcher control of questions and follow-ups, Listen Labs for recruitment through reporting and GetWhy for self-service or managed video studies.

Outset

Research job: AI-moderated text, voice and video interviews with people.

Outset provides AI-moderated text, voice and video interviews with recruited participants. Researchers control the guide and research material, then receive transcripts, clips and reports to investigate and share the findings.

Outset adaptive interviews. Outset uses research questions and stimuli to guide adaptive interviews; participant responses inform follow-up questions.

Outset’s guide editor shows how researchers set up questions and research material before AI-moderated interviews with recruited participants.

Pricing: Outset pricing is custom. Ask for recruitment, interview volume, languages and research support.

Listen Labs

Research job: a large interview study from recruitment to reports colleagues can check against participant answers.

Listen Labs handles guide design, recruitment, interviews and analysis, then connects its reports to participant responses your team can check and share.

Listen Labs interview evidence. Listen Labs connects study guides, qualified participants and interviews with reports and clips that trace back to the interviews.

Listen Labs’ report screen connects a large interview study to generated reports and individual-response detail.

Pricing is custom. Compare the audience, interview volume, research support and outputs included.

GetWhy

Research job: video interviews you run yourself or buy as a managed study.

GetWhy combines AI-moderated video interviews with multimedia reporting. Managed studies add senior-researcher review.

GetWhy interview evidence. GetWhy connects a business question with adaptive interviews, synthesis and a report backed by participant video.

GetWhy turns a campaign brief and research material into an AI-moderated video discussion guide.

Pricing: Initial studies start at $2,000 to $4,000 without an annual commitment. Confirm sample, markets, incentives, service level, timeline and deliverables.

Scope: GetWhy’s 48-hour claim for managed studies starts at the first interview. Include study design and recruitment when comparing total turnaround.

See our qualitative research companies for a deeper comparison of interview partners, recruitment specialists and qualitative platforms.

For a broader comparison of interview, survey and analysis software, see our guide to AI market research tools.

Sapien: simulated audiences and research recommendations

Sapien builds simulated audiences from data for a defined decision. A study can use thousands of distinct agents to compare buyer groups. Teams can survey that audience, interview individual agents, test ads and creative, compare concepts and claims, test prices and simulate likely behavior.

Sapien returns numeric results, explanations, buyer-group differences and recommendations on the schedule agreed for the study.

For audience research, check our audience-segmentation comparison and check whether its population, questions and outcome match the decision you need to make.

  • Move from a quantitative result to interviews with the same respondents to understand the reasons behind it.
  • Return to the same population for follow-ups, new creative, revised prices, or a closer look at a segment, without repeating participant recruitment and fieldwork for every study.

Check our purchase-intent comparison for the audience and question it actually tested before treating it as validation. It compares stated intent to buy regularly, based on product descriptions from 2019. The Clear Protein example below addresses a different simulated offer; actual repeat buying still needs a paid product test.

Sapien audience modeling. Sapien’s evidence streams inform a simulated audience that can answer research questions. Client data can provide additional context.

Sapien builds simulated audiences from real-world population, purchase, behavioral, factual survey, category, review and contextual evidence. Client data is optional; approved first-party data can add business-specific context.

Fit: teams seeking customer understanding, comparisons of alternatives, numeric results, explanations, behavioral predictions and recommendations in one study.

Example: an unofficial protein-drink concept

Sapien’s Clear Protein study used a simulated audience to study an unofficial 20g-protein, 80mg-caffeine drink at $3.99 for 2,000 U.S. adults. Regular protein-product users were more receptive than those without that habit: 31.1% versus 21.5% would buy at least once and 5.2% versus 2.9% would buy regularly.

Clear Protein: first and regular purchase. Buy at least once: Regular protein users 31.1%, No regular protein habit 21.5%; Buy regularly: Regular protein users 5.2%, No regular protein habit 2.9%. Distinct audience groups within 2,000 simulated U.S. adults; separate subgroup Ns unavailable. Regular protein users have higher modeled first and regular purchase rates; regular buyers are included in at-least-once buyers. Modeled results; no uncertainty intervals supplied.
First and regular purchase interest by protein habit.

These are simulated rates within each audience. The 2,000 profiles are the total study, and separate subgroup counts are not reported. A first purchase means a full-price can within eight weeks. Regular buying means at least four cans in weeks 5–8 after that purchase, across two shopping trips. Regular buyers also count in the at-least-once group.

For the first product test, start with people who already buy protein. Measure whether they buy the can again and what it replaces. Existing Red Bull customers overlap both audiences, so knowing the brand alone does not define the opportunity.

See our Clear Protein study.

Choose the partner for the evidence you are missing

For a decision about audience response, Sapien can build the simulated audience, run the study and connect simulated responses with the reasons behind them. Compare current buyers, people who stopped buying and relevant category buyers who have never chosen your brand. Use the differences to choose a group to prioritize, a barrier to check and a product, price or message to test. Other evidence sources answer additional questions:

  • NIQ and Circana show whether sales moved with distribution, price, promotion or category demand. That helps separate an availability problem from a message that needs to change.
  • Numerator connects purchase records with household profiles and follow-up surveys, helping explain which buyers switched or lapsed.
  • Curion investigates taste, scent, texture and in-home use, helping a product team understand what needs to improve in the physical experience.
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