Best CPG Market Research Companies in the US 2026

Last updated: 8 October 2026

Quick Answer: No single company is best at all of CPG market research, so brands buy across four provider classes. Circana, NielsenIQ, SPINS and Worldpanel by Numerator measure sales; Ipsos, Kantar, Material and Mintel sell custom research and intelligence; Curion, Highlight and MMR Research Worldwide test product; Alchemic, Attest, quantilope and Zappi run AI-native research. Scan data shows what sold, not why.

Across five waves of benchmarking since 1990, the five-year new product success rate has barely moved. It ran 58 percent in 1990, 59 percent in 1995 and 2004, 61 percent in 2012, and 59.6 percent in the 2021 survey of 651 firms across 37 countries run by the Product Development and Management Association.

Most CPG insights teams hold a measurement contract, an agency retainer and a testing subscription at once. All three report on what happened and leave the same gap on why.

Key takeaways

• Measurement firms sell currency. Circana, NielsenIQ, SPINS and Worldpanel by Numerator produce the share, distribution and household numbers retailers and brands negotiate on.
• Mintel tracks what launched. Its Global New Products Database captures 45,000+ new product launches a month.
• Boutiques win when the method is physical. Sensory booths and in-home use tests settle questions no survey can.
• AI-native platforms move fast. They field concept, pack and ad research in days, and the interview-led ones add the why behind a score.
• Reach decides who you hear. Scan data misses informal retail; WhatsApp and phone interviews reach shoppers a browser link misses.

Which Market Research Companies Serve Consumer Packaged Goods Brands?

Four classes of company serve CPG and FMCG brands, and each sells a different unit of analysis.

Retail Measurement and Consumer Panel Firms

Circana, NielsenIQ, SPINS and Worldpanel by Numerator. Circana is IRI and The NPD Group merged, under that name since 2023. The panel long sold as Kantar Worldpanel combined with Numerator in January 2025 and took the Worldpanel by Numerator name that July.

Custom Research and Market Intelligence Firms

Ipsos, Kantar, Material and Mintel. Ipsos covers the full CPG decision set including innovation forecasting; Material sells strategy-led research and analytics; Mintel sells market intelligence, launch tracking and consulting.

CPG Specialist Boutiques

Curion runs product and sensory testing with its own sensory booths, commercial kitchens and consumer centers. MMR Research Worldwide specializes in food, beverage, personal and household care. Highlight ships product to a vetted tester community.

AI-Native Research Companies for CPG

Zappi automates concept, creative and brand testing. quantilope automates advanced quantitative methods, conjoint, MaxDiff, TURF and implicit association tests among them. Attest sells a consumer research subscription with research experts on the account. Alchemic runs AI-moderated interviews on web, WhatsApp and phone with quant in the same interview, conjoint and MaxDiff included, plus implicit association tests on the browser and concept tests that check comprehension before asking for a rating.

CPG Consumer Insights Companies Compared

The fifteen companies below span all four classes, each read on its own public pages. A head-to-head on one pairing sits in the Alchemic vs Zappi comparison.

How This Guide Evaluates CPG Research Companies

Each company was read against four criteria on its own pages, first on 17 September 2026 and again on 8 October 2026. No studies were commissioned, so this is a capability read, not a quality test.

1. What it sells: measurement, custom research, intelligence, product testing or a platform.
2. Evidence it produces: share data, normed scores, sensory profiles, transcripts.
3. Coverage: countries, panels, stores or testers, in the company's own words.
4. The question it answers best: what sold, what launched, or why.

Comparison at a Glance

Rows are sorted alphabetically by company name.

When a scan read raises a why question, brief a pack or concept study through a research team before the next range review.

Twelve CPG Research Companies Profiled

Twelve companies get a full profile; Curion, Highlight and Material are covered in the class overview and the specialist section instead. Alchemic is listed first as this page's publisher; the other eleven follow alphabetical order.

1. Alchemic: Best for the Why Behind Scan and Panel Data

Alchemic runs end-to-end consumer research at scale for brand and insights teams, with Unilever, Mars and Dr. Reddy's among its named clients. Concept tests check comprehension before asking for a rating, in monadic or sequential monadic designs, and pack studies interview shoppers on label hierarchy, claims and shelf standout.

Strengths: respondents answer by web link, WhatsApp text and voice notes, or an outbound AI phone call, in 60+ languages including Hindi, Tamil and Telugu; qual and quant share one interview; fieldwork is managed or bring your own across 14 markets including the USA and the UK.

Limitations: pricing is not published, and it does not sell syndicated retail measurement or a normative database.

Best for: finding out why a launch, pack or claim performed the way the scan data says.

2. Attest: Best for Fast Consumer Surveys and Interviews Across 59 Markets

Attest reaches 150M+ consumers in 59 global markets and lets teams "join the dots between surveys and interviews with real consumers," with strategic support from its researchers.

Strengths: one subscription for brand, creative and category questions across markets.

Limitations: credits do not roll over after the 12-month term, so the plan has to match a year of questions.

Best for: category reads among consumers who have never bought the brand.

3. Circana: Best for Retail Measurement in US Grocery and Beyond

Circana is built on IRI, founded in 1979, and NPD, founded in 1966, and covers 26 industries for consumer packaged goods, retail and manufacturing clients through its Liquid Data platform and Complete series of measures.

Strengths: point-of-sale and receipt panel data in one platform.

Limitations: it records what sold, not why a shopper chose it.

Best for: share, distribution and promotion analysis for retailer negotiations.

4. Ipsos: Best for Custom Research Across the Whole Launch Decision

Ipsos works across 90 markets with 6m+ authenticated proprietary panelists and covers the full CPG decision set, including innovation forecasting.

Strengths: designed studies at any scale, in most markets a brand sells in.

Limitations: custom programs are scoped and quoted study by study; quick self-serve reads run on a separate platform, Ipsos.Digital.

Best for: multi-market innovation and brand programs.

5. Kantar: Best for Creative Testing Against a Long Norm History

Kantar tests ads with LINK, LINK+ and LINK AI, backed by "35+ years of LINK data," and reads brands through its Meaningful, Different and Salient framework and BrandZ rankings.

Strengths: benchmarks that let a score be compared with decades of past ads.

Limitations: normed scores show where an ad stands; the reasons from a specific shopper segment need an open probe.

Best for: pre-testing campaigns for large brands.

6. Mintel: Best for Tracking What Competitors Launch

Mintel's Global New Products Database "captures 45,000+ new global product launches each month," drawing on sources across 86 of the world's major economies, now inside its AI platform, Leap. Mintel also sells category reports and consulting.

Strengths: claims, ingredients, formats and pack trends across markets, with a two-year forecasting view.

Limitations: it shows what launched and what its research says, not why your own shoppers chose.

Best for: innovation pipelines and claim benchmarking.

7. MMR Research Worldwide: Best for Sensory-Led Product and Pack Development

MMR calls itself "the global consumer and sensory research agency," working on product reformulation, optimization and sensory analysis, plus ranging, pricing and promotional research.

Strengths: trained sensory methods for food, beverage, personal and household care.

Limitations: its depth is in product and sensory work rather than brand tracking.

Best for: reformulations that must still taste or feel right.

8. NielsenIQ: Best for Global Retail Measurement and Launch Forecasts

NielsenIQ measures $7.4 trillion of consumer spending across 90+ countries, covering 177 million products in more than 21 million stores, and forecasts launches with BASES.

Strengths: the widest retail measurement footprint here, plus consumer panels.

Limitations: it records purchases, not the reasons behind them.

Best for: global share tracking and new product forecasts.

9. quantilope: Best for Automated Advanced Quantitative Methods

quantilope runs 16 automated methods on one platform, conjoint, MaxDiff, TURF and implicit association tests among them.

Strengths: advanced quant without commissioning each study externally.

Limitations: built for structured methods; open-ended probing pairs with an interview study.

Best for: pricing, portfolio and claims prioritization.

10. SPINS: Best for Natural and Specialty Retail Data

SPINS aligns "natural, regional, conventional, and specialty retail data into a singular view" and codes products by attributes across claims, certifications and positioning.

Strengths: attribute-level data for better-for-you and natural brands.

Limitations: its depth is US retail.

Best for: natural and specialty brands pitching retailers.

11. Worldpanel by Numerator: Best for Household Purchase Panels

Worldpanel by Numerator runs continuous consumer panels in 65 markets, including partners, and adds PanelVoice to ask panelists why. Numerator says all its panelists carry 12 consecutive months of purchasing and 60% carry 24 months or more.

Strengths: trial, repeat and loyalty for the same households over time.

Limitations: panels see the households that enrolled and kept recording.

Best for: launch diagnostics and source-of-volume analysis.

12. Zappi: Best for Iterative Concept and Ad Testing

Zappi sells a connected, AI-powered system to test, learn and iterate on concepts and ads, plus a Brand Health Tracker, with each project building on past insights.

Strengths: fast, repeatable testing against a consumer-goods norm base.

Limitations: automated scores rank options; the reasons from one hard-to-reach segment need a probe.

Best for: high-volume concept and ad pipelines.

What Do Syndicated Retail Data and Custom Research Each Answer?

Syndicated retail data answers what happened, at what price, in which store, to which household. Custom research answers why, and what changing something would do.

A scan-based or panel-based read evidences four things well:

1. Share and its movement, against a category definition a retailer accepts.
2. Distribution, splitting volume change into more stores or more per store.
3. Price and promotion response, from one item at many prices.
4. Trial and repeat, the launch diagnostic only a household panel produces.

Three things it structurally cannot evidence:

1. Why a shopper chose, since the record holds a transaction, not a reason.
2. What the pack communicated, including a claim misread rather than ignored.
3. What the non-buyer thought, because a non-purchase generates no line item.

Where the Two Reads Disagree

The usual cause is coverage, not error. The National Academies' study Modernizing the Consumer Price Index for the 21st Century is cited because statisticians wrote it while deciding whether to trust scanner data for official inflation measurement. It records that the Nielsen Scantrack data the Bureau of Labor Statistics purchased "omitted convenience stores, bakeries, butchers, smaller grocery stores, warehouse stores, and gas stations."

Panels have measured characteristics too. The USDA Economic Research Service report On the Accuracy of Nielsen Homescan Data matched panel records against a grocery retailer's own data and found quantities recorded more accurately than prices, with mistakes correlated to household demographics.

So the answer is sequencing. The CPG launch research sequence sets out which stage answers which question.

Who Is In the Sample When a CPG Study Runs Across Markets?

Retail measurement sees the channels that report scan data, and panels see the households that enrolled and kept recording. Where most groceries move through small independent outlets, both read a minority of the trade.

A systematic review of informal food retail in low- and middle-income countries, published in BMJ Global Health in December 2025 and indexed on PMC, synthesized 30 studies. In Kenya, Nicaragua, Zambia, Thailand and Mexico, informal outlets hold at least 60 percent of the food retail market. Intercepting that shopper at the counter is fieldwork of its own, covered in the companies that run in-store shopper research.

Reaching the Shopper the Scan Never Saw

A browser-link study reaches people with a browser, a connection and a reason to click. A voice-first shopper who paid cash at a counter needs a different channel.

That is where Alchemic fits a multi-market CPG study, with shopper interviews on label hierarchy, claims and shelf standout. Respondents pick the channel: a web link carrying pack and video stimulus, a WhatsApp conversation with no link and no app, or an outbound AI phone call with consent captured on the first turn. Recruitment runs as managed fieldwork or bring your own across 14 markets including the USA and UK, and usage diaries with a post-use interview run where the pack has to be lived with rather than looked at. The packaging testing platforms comparison covers the alternatives.

What Does a CPG Brand Need From Research That Other Categories Do Not?

A CPG brand needs three things most categories do not:

1. A continuous read on what left the shelf.
2. A launch clock measured in weeks, not quarters.
3. A way to separate demand from distribution.

Channel spread makes one retailer's read misleading. USDA Economic Research Service retail trends data put 2025 food-at-home sales at 56.2 percent through grocery stores, 26.4 percent through warehouse clubs and supercenters, 11.1 percent through other non-food retailers, and 1.2 percent through convenience.

When Is a Specialist Boutique or an In-House Team the Better Call?

A boutique wins when the method is the product and the method is physical. An in-house team wins when the question recurs and turnaround beats independence.

1. Sensory and formulation work. A trained descriptive panel in a controlled booth settles whether a reformulated biscuit still tastes like the old one, and Curion or MMR Research Worldwide beats any interview.
2. In-home use testing at scale. If a product must be used for two weeks before an opinion means anything, the hard part is shipping product to testers and chasing them through the usage period, which Highlight built its business on.
3. Retailer-facing numbers. In joint business planning the only number both sides accept is the syndicated one, and no qualitative depth replaces a currency read from Circana, NielsenIQ or SPINS.

The Limits Worth Stating Before You Brief

AI-moderated interviewing is the wrong tool for sensory discrimination, for a claim that must be substantiated to a regulator under a controlled protocol, and for measuring share.

The Insights Association's Code of Standards, which its member firms attest to when they join and at every annual renewal, requires participation to rest on accurate information, so ask how consent and incentives work per market. For software rather than suppliers, start with the comparison of research platforms and the guide to concept testing.

Sources and Methodology

Company facts come from each company's own pages, read on 17 September 2026 and re-read on 8 October 2026; no company page is linked. Each source below is linked once, inline:

• Product Development and Management Association, 2021 best-practices survey: five-year new product success rates.
• National Academies, Modernizing the Consumer Price Index: what scanner data omits.
• USDA Economic Research Service, On the Accuracy of Nielsen Homescan Data: panel recording accuracy.
• BMJ Global Health, via PMC, December 2025: informal food retail shares in low- and middle-income countries.
• USDA Economic Research Service, retail trends: 2025 food-at-home sales by channel.
• Insights Association, Code of Standards: participant information and consent.