Marketing Research and Public Opinion Polling (NAICS 541910)

A Histometrics industry primer for public-market and private investors

1. Overview

Marketing research and public opinion polling is the business of systematically collecting, tabulating, and interpreting data on what people buy, watch, believe, and intend to do — then selling those findings to companies, media owners, governments, campaigns, and news organizations. It spans consumer surveys, focus groups, brand-tracking studies, retail-sales measurement, television and digital audience ratings, and election polls.[1]

The industry sells evidence for decisions: which products to launch, how consumers perceive a brand, how audiences behave, what voters think, and whether marketing spending actually works. It is the measurement layer underneath the roughly trillion-dollar global advertising and marketing economy. When a consumer-goods company decides whether to launch a product, when a broadcaster prices ad inventory, or when a campaign allocates spending, the numbers they lean on are produced by this industry. Demand is real and recurring, but the sector is being reshaped fast by artificial intelligence (AI — computer systems that generate or simulate human-like responses) and by falling survey response rates.

Access to the industry as an investor is uneven. There are only a handful of pure public plays, and most of the industry's crown jewels are owned privately — by private-equity (PE — investment firms that buy companies using pooled capital and debt) sponsors, employee-ownership trusts, and nonprofits. Public-market investors reach the space mainly through a few listed research and consumer-intelligence firms; private investors have broader access through PE funds, direct acquisitions, growth capital, secondaries, and the debt of the big sponsor-owned platforms. Details are in Sections 4 and 10.

The best businesses tend to own differentiated panels, proprietary data, recurring tracking programs, trusted methodologies, or embedded client software. Custom fieldwork and one-off reports are more labor-intensive and cyclical. That distinction is an investment judgment, not a federal industry-wide statistic.

2. What it is and how it is structured

The U.S. Census Bureau defines North American Industry Classification System (NAICS) code 541910 as establishments primarily engaged in gathering, recording, tabulating, and presenting marketing and public-opinion data — survey design, sampling, field data collection, statistical analysis, focus groups, and reporting.[1] A typical project moves from research design and sampling to recruiting respondents, collecting data, cleaning and weighting responses, analyzing results, and delivering a report, dashboard, or database.

Included activities:

• Market and brand research
• Consumer and shopper panels
• Public-opinion and political polling
• Broadcast and internet audience measurement
• Statistical sampling and survey design
• Market and media analytics[1]

What the code excludes matters for sizing the industry, because adjacent work is coded elsewhere:

• Marketing strategy advice and counsel → NAICS 541613, Marketing Consulting Services.[1]
• Academic-style research in economics, sociology, and related fields → NAICS 541720, Research and Development in the Social Sciences and Humanities.[1]
• Advertising agencies → NAICS 541810; public-relations agencies → NAICS 541820.[1]
• General management consulting → NAICS 541611.
• Survey and analytics software sold as a product → software-publishing codes.

That boundary means much "market research" spending by revenue does not land inside 541910: it sits inside advertising agencies, consultancies, software companies, and the in-house insights teams of corporations.

Structurally the industry is a barbell. At one end sit a small number of global data-and-measurement giants (audience ratings, retail scanner data, syndicated trackers). At the other end sit thousands of small custom-research shops, boutique qualitative firms, independent focus-group moderators, and gig field interviewers. Several business models coexist: custom project research; recurring brand/customer/opinion tracking; subscription access to panels, benchmarks, or databases; data-and-analytics software; fieldwork and sample provision; and public-sector or nonprofit research contracts. Ownership is mixed and skews private — PE-controlled platforms, employee-owned firms (Gallup, Westat), and nonprofits (Pew, NORC).[16][17][19][21][22][23][24] The federal data do not provide a public-versus-private ownership split.

3. How big it is

Ground-truth U.S. federal figures for NAICS 541910 (employer businesses only). These come from different federal releases and reference years:

Concentration is low. The four largest firms took 21.5% of revenue (CR4), the top eight 32.7% (CR8), the top 20 49.0% (CR20), and the top 50 64.1% (CR50); the Herfindahl-Hirschman Index (HHI — a standard concentration measure where under 1,500 is "unconcentrated") was just 189.2.[2] In plain terms: a few giants sit atop a very long tail of small firms. The average employer firm has roughly 20 paid employees (78,424 employees across 3,649 firms), but counting the many one-person operators the Census excludes pulls the average business size down toward three.[7] The $22.5 million U.S. Small Business Administration (SBA) threshold is a government-contracting classification, not an industry-average revenue figure or a valuation benchmark.[4]

The undercount caveat is important here — and it runs two ways.

First, the federal counts are employer-only. County Business Patterns and the Economic Census concentration tables focus on businesses with paid employees; they exclude nonemployer firms and generally exclude government-owned establishments.[5] That matters in a field thick with independent researchers, one-person consultancies, nonprofits, universities, and public-sector research units. No industry-specific nonemployer or government estimate was available for 541910, so none is invented here.

Second, the code itself is narrow. The ~$25.2 billion federal figure captures only revenue primarily classified in 541910; it excludes the measurement revenue booked inside larger media, advertising, software, and consulting companies, plus in-house corporate insights budgets and fast-growing "research technology" (self-serve survey and analytics software). For scale, the industry body ESOMAR (the global association for the data, research, and insights profession) put the U.S. market at roughly $48 billion and the global insights industry at about $142 billion in 2023, growing near 8% year over year.[6] Read the federal number as the floor for the narrowly defined services industry, not the full economic footprint. The federal ground-truth file contains no growth forecast; independent trade research (IBISWorld) has estimated U.S. market-research services growing at a mid-single-digit annual rate.[7]

4. The investable universe

Public-company exposure is broader than the NAICS code itself: listed companies often combine polling with consumer data, media measurement, analytics, consulting, or software. There are few clean public "pure plays," and several of the biggest names are privately held. Figures below are recent reported scale, not precise valuations.

Public companies (research / measurement)

Adjacent public companies (broader data / advisory / verification)

Major private, nonprofit, and other owners

• Nielsen — TV and cross-media audience measurement; taken private in October 2022 by a Brookfield Asset Management and Elliott Management consortium (via Elliott's Evergreen Coast Capital) for about $16 billion; shares stopped trading after the deal closed.[16]
• Kantar — one of the world's largest research groups (~$3.7B research revenue), majority-owned by PE firm Bain Capital, with WPP retaining a minority interest; businesses span brand, media, shopper, and audience research.[12][17]
• Circana — retail and consumer tracking, formed by the 2022 merger of Information Resources, Inc. (IRI) and The NPD Group (~$8B). Hellman & Friedman is the majority investor, with New Mountain Capital and Vestar Capital Partners retaining significant stakes.[18]
• Dynata — a large first-party consumer-data and survey/sample provider; post-Chapter 11 restructuring, equity is led by Bain Capital, with funds managed by BlackRock and vehicles advised by First Eagle Alternative Credit.[19]
• Verian — the former Kantar Public, now a private policy-research and public-affairs business backed by Trilantic Europe.[20]
• Westat — an employee-owned research, data-collection, evaluation, and government-contracting firm.[21]
• Gallup — private, employee-owned; public-opinion polling plus workplace analytics and consulting.[22]
• Pew Research Center — nonprofit "fact tank," funded chiefly by The Pew Charitable Trusts; not investable.[23]
• NORC at the University of Chicago — an independent nonprofit research organization affiliated with the University of Chicago.[24]
• Morning Consult — private high-frequency online survey firm (~$100–250M revenue; 15,000+ interviews per day).[25]
• Other sizable private players include panel and platform firms such as Toluna and (since its 2023 take-private by Silver Lake) Qualtrics.

5. How the money works

Owners in this industry make money three ways, with very different economics:

1. Custom / ad-hoc project research. A client commissions a specific study — a brand tracker, a product test, a poll. Revenue is project-based and priced off labor: researcher time, panel/incentive costs, and fieldwork. The key operating lever is billable utilization — how much of a researcher's paid time is charged to client projects — plus per-project gross margin. This is the professional-services model: steady but labor-intensive, lower-margin, and hardest to scale.

2. Syndicated data and measurement (the profit engine). One firm builds an expensive, hard-to-replicate measurement asset — a national TV-viewing panel, a retail point-of-sale data feed, a continuous consumer tracker — and sells access to many subscribers. Think of it as a razor-and-blades model where the infrastructure is the razor and recurring subscriptions are the blades. These "currency" datasets (Nielsen ratings, NIQ scanner data, Circana panels) carry high gross margins, sticky multi-year contracts, and pricing power. NIQ reported that roughly 80% of its 2025 revenue was recurring, and Gartner's adjacent research-subscription business shows the appeal at scale — about $5.3 billion of contract value and 84% client retention.[9][13]

3. Panels, data licensing, and self-serve software. Firms that own large opt-in respondent panels sell survey "completes" by the unit, license raw data, or offer do-it-yourself (DIY) survey platforms on a software-as-a-service (SaaS) subscription. Economics hinge on panel size and quality and cost per complete (the all-in cost to collect one finished survey response). These businesses can grow quickly but carry ongoing panel, respondent-incentive, quality-control, and technology costs.

The most useful operating metrics are specific to research, not manufacturing: renewal and client-retention rates; net revenue retention (revenue retained and expanded from existing clients); recurring-revenue share; gross margin after sample and respondent costs; analyst and interviewer utilization; panel completion and incidence rates; cost per completed response; fraud/bot-detection rates; backlog and delivery timeliness; and customer concentration.

The strategic picture: custom work pays the bills but commoditizes; syndicated measurement and durable data assets are where the real profit and takeover value sit — which is exactly why PE sponsors have concentrated their buying there. The industry is moderately cyclical: advertising, product launches, consulting budgets, and campaign spending can be postponed, while recurring measurement contracts are more resilient and public-sector demand depends on procurement and appropriations.

6. What drives demand

• Marketing accountability. Brands want evidence that advertising, pricing, promotions, and product launches produce a return on investment (ROI — the gain relative to the money spent). Research is a discretionary line item that tracks marketing spend, so demand is cyclical — cut early in downturns, rebounding with confidence and new-product activity.[7]
• New-product launches and brand competition, especially in consumer packaged goods, retail, media, technology, and healthcare — driving concept tests, segmentation, pricing research, and brand tracking.
• Media fragmentation. As viewing splinters across streaming and connected TV (CTV — internet-delivered television), advertisers need new cross-platform measurement — a tailwind for Comscore, Nielsen, and DoubleVerify.[11][15]
• First-party and consented data. Privacy restrictions and the deprecation of third-party tracking cookies push advertisers toward permissioned panels and directly measured data rather than passive tracking.
• Public opinion and policy. Elections, ballot questions, public affairs, government programs, and nonprofit campaigns require sampling and interpretation; media outlets and campaigns are major buyers.[22]
• Artificial intelligence. AI can lower the cost of survey design, coding, reporting, and analysis while raising demand for trusted benchmarks, human validation, and data-quality controls (see Sections 9–10).

The central strategic question is whether AI expands the market for reliable evidence or turns undifferentiated survey work into a commodity. The likely answer is both: scalable platforms with proprietary data should benefit more than firms that mainly resell generic samples or produce manual reports.

7. Regulation

There is no licensing regime for market researchers — the field is lightly and activity-dependently regulated, leaning heavily on self-governance. The touch points that matter:

• Privacy law. State statutes led by California's Consumer Privacy Act (CCPA), as amended by the California Privacy Rights Act (CPRA), give consumers rights over access, deletion, correction, opt-out, and sensitive-data use, and emphasize purpose limitation and data minimization; other state laws create a growing patchwork. Globally active firms also face the European Union's General Data Protection Regulation (GDPR).[29]
• Federal consumer protection. The Federal Trade Commission (FTC) can pursue unfair or deceptive privacy, data-security, and research practices under Section 5 of the FTC Act. The Fair Credit Reporting Act (FCRA) may apply if research data are repurposed for credit, employment, insurance, or other eligibility decisions.[28]
• Telephone research. The FTC treats calls made solely to conduct surveys as outside the federal Do-Not-Call telemarketing rules — but a "survey" that also sells goods or services loses that treatment.[26] The Telephone Consumer Protection Act (TCPA, 1991) and Federal Communications Commission (FCC) rules still restrict automated dialing of mobile phones, so cell numbers generally must be hand-dialed. In February 2024 the FCC confirmed that AI-generated voices count as "artificial or prerecorded" under the TCPA, requiring prior express consent — a direct constraint on AI-run phone surveys.[27]
• Children's data. The Children's Online Privacy Protection Act (COPPA) covers online collection of personal information from children under 13 and generally requires parental notice and verifiable consent.[30]
• Political work. Polling paid for by political committees can be a reportable campaign expense or in-kind contribution under Federal Election Commission (FEC) rules.[31]
• Self-regulation and standards. The Insights Association enforces a Code of Standards and Ethics; its CIRQ subsidiary audits to the ISO 20252 international market-research quality standard; and the American Association for Public Opinion Research (AAPOR) runs a Transparency Initiative and code requiring disclosure of methodology, sample size, and margin of error.[32][33]

A separate, non-legal pressure applies to the polling side: after high-profile misses in the 2016 and 2020 U.S. elections, polling firms face reputational scrutiny over accuracy that functions as its own market discipline.

8. Competitive dynamics and consolidation

The federal data confirm a fragmented industry (HHI 189, four-firm share 21.5%),[2] and it stays fragmented because clients value local knowledge, specialist populations, language capability, sector expertise, and independent methodological judgment — small firms compete where trust and specialization matter more than global scale. Yet scale matters at the top, because large operators can finance panels, retailer relationships, global samples, compliance systems, data engineering, and AI tools, and because proprietary historical data and recurring benchmarks compound in value as they accumulate. So the top end has consolidated aggressively, largely via private equity:

• Nielsen taken private by Brookfield and Elliott (~$16B, 2022).[16]
• NielsenIQ + GfK combined under Advent International, then IPO'd as NIQ on the NYSE in July 2025 — a rare return to public markets.[8]
• IRI + NPD merged into Circana (2022) under a PE consortium.[18]
• Kantar majority-owned by Bain Capital (WPP minority), with continued reshuffling among the leaders, including the spin-out of Verian (former Kantar Public) to Trilantic Europe.[12][17][20]
• Dynata recapitalized through Chapter 11 under Bain-led creditors, and Qualtrics taken private by Silver Lake (2023).[19]

The competitive threats come from three directions at once: (1) DIY survey-software platforms that let clients run their own studies cheaply; (2) management consultancies and advertising/data groups moving into insights; and (3) AI and synthetic-data tools that compress the cost and time of research. Scale players defend with proprietary, hard-to-copy measurement assets; boutiques defend with specialization and senior human judgment. The squeezed middle — generic custom-survey shops — is the most exposed. Consolidation is most likely to continue in consumer panels, retail measurement, audience data, and analytics platforms, and least likely to eliminate boutiques serving specialized public-policy, healthcare, business-to-business, or regional needs.

9. Key risks

• Data-quality failure. Falling survey response rates, respondent fraud, bots, duplicate respondents, and weak weighting raise the cost of trustworthy data and can destroy client trust.
• AI and synthetic-data substitution. Generative AI is deflationary: industry commentators report survey recruitment and turnaround costs falling sharply, and a large majority of insights professionals are now using or testing generative AI.[34] "Synthetic respondents" (AI-simulated survey answers) threaten the labor-heavy model, though most practitioners still treat them as a supplement, not a replacement, especially in regulated or technical categories.[34]
• Cyclicality. Research budgets are discretionary and fall fast when marketing, consulting, political, and product-development spending is cut.[7]
• Customer concentration. Losing one major brand, retailer, media client, or government contract can materially affect results.
• Reputation and methodology. A visibly wrong political poll or biased study can damage a brand well beyond the immediate contract.
• Privacy and cybersecurity. Tightening privacy law, cookie deprecation, breaches, or unlawful data reuse can raise compliance costs, strand data-collection methods, and trigger penalties and panel attrition.
• Input-cost inflation. Respondent incentives, sample acquisition, wages, technology, and compliance costs can rise faster than pricing, compressing margins in commoditizing custom work.
• Acquisition and leverage risk. PE-backed consolidation creates cross-selling opportunities but also integration problems, goodwill, and debt-service pressure.
• Platform dependence. Access to retailers, social platforms, media distributors, or outside data suppliers can be withdrawn or repriced.
• Concentration of value in private hands, which limits public-market access and can leave listed pure-plays as the smaller, more contested assets.

10. How to invest, and the outlook

Public routes. The listed pure-play set is small: NIQ (NYSE), Ipsos (Paris), YouGov (London), and Comscore (Nasdaq) give the most direct exposure to consumer measurement and polling data; WPP offers indirect exposure through its Kantar minority.[10][11][12] Broader, more diversified exposure comes from adjacent names — Gartner (subscription research and advisory), IQVIA (healthcare data and analytics), and DoubleVerify (ad measurement).[13][14][15] For any listed name, separate direct research exposure from adjacent businesses, and review recurring-versus-project revenue mix, renewal rates and net revenue retention, panel ownership and data provenance, pricing power and gross margin after data-collection costs, customer and government-contract concentration, organic versus acquisition growth, and debt, currency, and sponsor ownership. Note that tickers, share prices, dividend policies, and valuation multiples vary widely across these very different business models, and several names are still majority-controlled by their former PE owners (for example, Advent retains NIQ's voting majority post-IPO).[8] Valuation typically compares enterprise value (EV — market value of equity plus net debt) against recurring revenue, free cash flow, and earnings before interest, taxes, depreciation, and amortization (EBITDA), adjusted for leverage and the quality of recurring revenue — a "recurring" label means little if customers can leave easily or the underlying panel is expensive to maintain.

Private routes. Because Nielsen, Kantar, Circana, Dynata, and Qualtrics are all sponsor-owned, the deepest exposure to the industry's most valuable assets is through private equity — as a limited partner in the relevant funds, through direct acquisitions or growth capital, via secondaries, or via the debt these leveraged platforms issue (a natural touch point for private-credit and business-development-company investors). Private diligence should test whether a company owns durable data rights or merely resells access; consent, deletion, and data-security processes; sample quality and completion economics; client renewal history and concentration; normalized margins after respondent incentives and outsourced fieldwork; working-capital needs and government payment cycles; and debt service under a downturn. Private-credit investors should weigh cash conversion, covenant headroom, sponsor support, and downside recovery — intangible data assets can be strategically valuable yet hard to monetize in a distressed sale. Gallup and Westat (employee-owned) and Pew and NORC (nonprofit) are not investable.[21][22][23][24]

Outlook (forward-looking). The federal ground-truth file contains no growth forecast, so none is asserted here; external trade research points to mid-single-digit growth in U.S. market-research services and faster growth in the broader insights industry on the strength of research software and data.[6][7] Expect the sector to bifurcate: scaled, recurring measurement and data platforms should stay durable and command premium valuations, while generic survey work faces AI-driven price deflation. AI is likely a double-edged catalyst — expanding how much research clients can afford while shrinking revenue per study — so the best-positioned operators are those that own proprietary "currency" datasets or convert AI into higher-margin, higher-volume delivery. Election-year demand and the streaming-measurement transition are supportive medium-term tailwinds. The central investment question is not whether demand for insight persists (it will) but who captures the value as the cost of producing it collapses.

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Sources

1. U.S. Census Bureau, "2022 NAICS: 541910 Marketing Research and Public Opinion Polling" (definition, included activities, and exclusions), 2022. https://www.census.gov/naics/?chart=2022&details=541910&input=541910
2. U.S. Census Bureau, 2022 Economic Census — "EC2200SIZECONCEN: Concentration of Largest Firms," NAICS 541910 (receipts ~$25.15B, 3,649 firms, CR4/CR8/CR20/CR50, HHI 189.2), 2022. https://data.census.gov/table/ECNSIZE2022.EC2200SIZECONCEN
3. U.S. Census Bureau, County Business Patterns 2023, NAICS 541910 (4,401 establishments; 78,424 employees; ~$8.15B annual and ~$2.25B Q1 payroll). https://data.census.gov/table/CBP2023.CB2300CBP
4. U.S. Small Business Administration, Table of Small Business Size Standards, NAICS 541910 ($22.5M annual-receipts standard), 2023. https://www.sba.gov/document/support-table-size-standards
5. U.S. Census Bureau, "Frequently Asked Questions — About the Economic Census" (employer-business scope; nonemployer and government exclusions), 2022. https://www.census.gov/programs-surveys/economic-census/year/2022/about/faq/faq-general.html
6. ESOMAR / Research World, "Drivers of our $142bn insights industry" (global ~$142B, U.S. ~$48B, ~8% growth, 2023), 2024. https://researchworld.com/articles/drivers-of-our-142bn-insights-industry
7. IBISWorld, "Market Research in the US" (mid-single-digit CAGR; ~3 employees per average business), 2026. https://www.ibisworld.com/united-states/industry/market-research/1442/
8. NIQ Global Intelligence, "NIQ Announces Pricing of Initial Public Offering" (NYSE: NIQ; priced $21.00; began trading July 23, 2025; ~$5.2B market cap; Advent retains voting majority; NielsenIQ/GfK combination), 2025. https://nielseniq.com/global/en/news-center/2025/niq-announces-pricing-of-initial-public-offering/
9. U.S. Securities and Exchange Commission, NIQ Global Intelligence plc Form 10-K for 2025 (~80% recurring revenue; debt and integration considerations), 2026. https://www.sec.gov/Archives/edgar/data/2054696/000162828026012572/niq-20251231.htm
10. Statista, "Ipsos – statistics & facts" (2024 revenue ~$4.44B; Euronext Paris listing), 2025. https://www.statista.com/topics/5200/ipsos/
11. PitchBook, company profiles for Comscore (~$357M revenue) and YouGov (~$520M revenue), 2026. https://pitchbook.com/profiles/company/42017-68
12. U.S. Securities and Exchange Commission, WPP plc Form 20-F for 2024 (marketing-services group; minority interest in Kantar), 2025. https://www.sec.gov/Archives/edgar/data/806968/000162828025015363/wpp-20241231.htm
13. Gartner, Inc., Form 10-K for fiscal 2024 (Research segment ~$5.1B; contract value ~$5.3B; 84% retention), 2025. https://investor.gartner.com/static-files/ce1f14c0-f496-4672-85d0-c663ed815341
14. IQVIA Holdings, "IQVIA Reports Fourth-Quarter and Full-Year 2024 Results" (total $15.4B; Technology & Analytics ~$6.16B), 2025. https://ir.iqvia.com/press-releases/press-release-details/2025/IQVIA-Reports-Fourth-Quarter-and-Full-Year-2024-Results-Reaffirms-Full-Year-2025-Guidance/default.aspx
15. DoubleVerify Holdings, "DoubleVerify Reports Fourth Quarter and Full Year 2024 Financial Results" (revenue $656.8M), 2025. https://ir.doubleverify.com/news-events/press-releases/press-releases-details/2025/DoubleVerify-Reports-Fourth-Quarter-and-Full-Year-2024-Financial-Results-02-27-2025/default.aspx
16. Nielsen / U.S. Securities and Exchange Commission, "Nielsen Announces Closing of Transaction with Evergreen- and Brookfield-Led Consortium" (Brookfield + Elliott via Evergreen Coast Capital take-private, ~$16B, completed October 2022). https://www.nielsen.com/news-center/2022/nielsen-announces-closing-of-transaction-with-evergreen-and-brookfield-led-consortium/
17. Kantar, "Annual Report and Accounts 2024," plus Statista "Kantar research revenue" (~$3.7B research revenue; Bain Capital majority ownership), 2025. https://www.kantar.com/
18. Circana, "IRI and NPD Complete Merger" (2022 merger; Hellman & Friedman majority, New Mountain Capital and Vestar significant investors; ~$8B), 2022. https://www.circana.com/post/news-press-releases-iri-and-npd-complete-merger
19. Dynata, "Dynata Announces Full Emergence from Prepackaged Chapter 11" (post-restructuring equity led by Bain Capital, with BlackRock and First Eagle Alternative Credit), 2024. https://www.dynata.com/why-dynata/about-dynata/press/dynata-announces-full-emergence-from-prepackaged-chapter-11/
20. Trilantic Europe, "Verian" (former Kantar Public; policy research and public affairs), 2026. https://www.trilanticeurope.com/our-investments/portfolio/verian.html
21. Westat, "About Westat" (employee-owned research and government-contracting firm), 2026. https://www.westat.com/about-westat/
22. Gallup, "Media Center" (private, employee-owned; public-opinion polling and workplace analytics), 2026. https://www.gallup.com/corporate/468077/media-center.aspx
23. Pew Research Center, "Our Funding" (nonprofit; funded chiefly by The Pew Charitable Trusts), 2026. https://www.pewresearch.org/about/our-funding/
24. NORC at the University of Chicago, "NORC & the University of Chicago" (independent nonprofit affiliated with the University of Chicago), 2026. https://www.norc.org/about/who-we-are/uchicago-affiliation.html
25. Wikipedia, "Morning Consult" (private online survey firm; ~$100–250M revenue; 15,000+ interviews/day), accessed 2026. https://en.wikipedia.org/wiki/Morning_Consult
26. Federal Trade Commission, "The Do Not Call Registry" / Rivkin Radler, "When Opportunity Knocks: Paid Market Research Survey Offers and the TCPA" (survey-only calls outside Do-Not-Call telemarketing rules), 2024–2026. https://www.ftc.gov/news-events/topics/do-not-call-registry
27. Federal Communications Commission, "FCC Confirms that TCPA Applies to AI Technologies that Generate Human Voices" (February 2024). https://www.fcc.gov/document/fcc-confirms-tcpa-applies-ai-technologies-generate-human-voices
28. Federal Trade Commission, "Division of Privacy and Identity Protection" (Section 5 enforcement; FCRA repurposing risk), 2026. https://www.ftc.gov/about-ftc/bureaus-offices/bureau-consumer-protection/division-privacy-and-identity
29. California Privacy Protection Agency, "Frequently Asked Questions" (CCPA/CPRA consumer rights, purpose limitation, data minimization), 2026. https://cppa.ca.gov/faq
30. Federal Trade Commission, "Complying with COPPA: Frequently Asked Questions" (online collection from children under 13), 2019. https://www.ftc.gov/business-guidance/resources/complying-coppa-frequently-asked-questions
31. Federal Election Commission, "Making In-Kind Contributions to Candidates" (political polling as reportable expense/in-kind contribution), 2026. https://www.fec.gov/help-candidates-and-committees/making-disbursements-pac/making-kind-contributions-candidates/
32. Insights Association, "Code of Standards and Ethics for Market Research and Data Analytics" (and CIRQ / ISO 20252 certification), 2026. https://www.insightsassociation.org/Resources/Code-of-Standards
33. American Association for Public Opinion Research (AAPOR), "Transparency Initiative," 2026. https://aapor.org/standards-and-ethics/transparency-initiative/
34. Backlinko / Research World, industry commentary on generative-AI adoption (majority of insights professionals using or testing generative AI) and falling research recruitment costs, 2025–2026. https://backlinko.com/market-research-statistics