Directory and Mailing List Publishers (U.S.) — NAICS 513140

1. Overview

This is the business of compiling facts about people and companies and selling access to them — telephone and business directories, mailing lists, and the large commercial databases behind direct mail, telemarketing, and business-to-business (B2B) sales. If you have ever received addressed mail you did not ask for, looked a supplier up in an industrial directory, or been contacted by a salesperson who "found your details," a firm in this industry likely supplied the underlying list [1].

Why it matters economically: it is a small industry by headcount but an unusually high-margin, data-driven one. About $5.1 billion in U.S. revenue is produced by roughly 10,000 workers [2][3] — close to half a million dollars of revenue per employee. Once a database is built, extra copies cost almost nothing, so the unit economics resemble software more than printing. The catch is a hard, decade-long transition: paper directories are dying, privacy law is tightening, and artificial intelligence (AI) is both a new customer and a new threat.

For investors, the practical takeaway is that this is a selective information-services niche, not a broad growth sector, and clean public exposure is scarce. The descendants of the Yellow Pages and the big B2B data platforms are the nearest listed plays, but each is really a broader software or analytics company; much of the industry's largest capacity sits in private-equity (PE) or foreign-listed hands. Specific names, tickers, and how to get exposure are in Sections 4 and 10.

2. What it is and how it's structured

The U.S. Census Bureau defines the North American Industry Classification System (NAICS) code 513140 as establishments that publish directories, mailing lists, and compilations of fact — telephone books, business and professional directories, public-record compilations, proprietary collections such as legal-case or drug databases — in print, electronic, or internet-only form. The products are differentiated by the selection, arrangement, freshness, and verification of the data, not by physical manufacturing, and it is that selection and arrangement that copyright protects [1].

Three business types operate inside and around this code:

• Data compilers own and build the databases, merging public records, filings, surveys, and third-party feeds, then re-verifying them continuously. Data Axle (formerly Infogroup/InfoUSA) and Experian are the enterprise-scale examples [6].
• List brokers and marketplaces mostly do not own data; they rent access to thousands of third-party specialty lists (donors, subscribers, catalog buyers) and take a cut. Examples: NextMark, AccuData, USAData, LeadsPlease, AmeriList [6].
• Directory publishers aggregate listings into a searchable product and sell advertising or leads against them — legacy Yellow Pages, and vertical directories such as Thomasnet for industrial suppliers [1].

Watch the renumber. In NAICS 2022, publishing was moved out of sector 511 into the new 513 group, so this industry — previously 511140 — is now 513140. Older data uses the old code [1].

What it excludes (adjacent codes):

• 541860 — Direct Mail Advertising / Advertising Material Distribution: firms that design, produce, and mail campaigns (rather than compile the list).
• 518210 — Data Processing, Hosting, and Related Services: raw data processing and hosting.
• 561450 — Credit Bureaus: consumer credit files used for lending decisions (e.g., Equifax; the credit-scoring arms of Experian and Dun & Bradstreet).
• 519290 — Web Search Portals and All Other Information Services: online search and news aggregation.
• 513210 — Software Publishers, and 513110 / 513120 / 513130 — newspaper, periodical, and book publishers.
• 32311 — Printing without publishing [1].

Ownership mix: a handful of large firms plus a long tail of small brokers and niche publishers. Average revenue is about $11 million per firm across 469 firms [2], but that average is misleading — the top players are far larger and most firms are small. The federal tables do not give a clean public-versus-private split; in practice the industry blends private operators, sponsor-owned data platforms, subsidiaries of larger public companies, and a few listed businesses with only partial exposure.

3. How big it is

U.S. federal statistics for NAICS 513140. Years differ because County Business Patterns (CBP) and the Economic Census are separate releases.

(A concentration ratio "CRn" is the combined revenue share of the largest n firms; HHI is a standard antitrust concentration index that rises toward 10,000 as a market approaches monopoly.)

Two things stand out. First, pay is high (~$93,000 average) — this is a technical, data-engineering workforce, not a print shop. Second, the concentration figures tell a nuanced story: the top 50 firms take ~93% of revenue, yet the HHI of 841 sits below the 1,000 line that U.S. antitrust regulators treat as "unconcentrated" [2]. In plain terms — a few dozen firms dominate, but no single company runs the market.

Undercount caveat — this is real here. CBP counts only establishments with paid employees (491); the Economic Census firm count is 469 [2][3]. Two groups fall outside those employer counts. (a) Many solo list brokers and tiny data resellers are nonemployer businesses (sole proprietors, home-based resellers) or get classified under advertising (541860) or data processing (518210); our federal file contains no nonemployer count or revenue for this code, so none is stated here [4], and private research puts total establishments closer to ~760 while still agreeing on the ~$5 billion revenue [6]. (b) The very largest data operations — the credit-bureau arms of Experian and Dun & Bradstreet, ZoomInfo's B2B platform — book most of their revenue under credit-reporting (561450), data-processing (518210), or software (513210) codes, not here. So treat $5.1 billion as the "pure directory and list publishing" core, with a much larger data-compilation economy sitting in adjacent codes.

4. The investable universe

There is no clean public "directory publishing" pure-play. The closest listed names are legacy-directory or B2B-data companies where the directory/list business is one segment. Analyze the relevant segment, not the parent's total revenue or valuation. Scale figures are approximate.

Major private and other owners:

• Data Axle — Court Square Capital Partners: formerly Infogroup/InfoUSA, one of the largest U.S. compilers of business and consumer data and mailing lists; listed as a current Court Square portfolio company [12]. Acquired list broker Exact Data in 2021 [13].
• Dun & Bradstreet — Clearlake Capital: business data on 550M+ organizations (~$2.4B revenue); taken private by Clearlake for $7.7B in 2025 [15].
• Acxiom — Interpublic (IPG): large consumer-data business; IPG merged into Omnicom in 2025 [16].
• Hibu (Yellowbook print + digital directories) [14]; Vericast — MacAndrews & Forbes (data, marketing and customer-engagement, print + digital) [17]; international operators Solocal (France) and Yellow Pages (Canada).
• List brokers/marketplaces: NextMark, AccuData, USAData, LeadsPlease, AmeriList [6].

Bottom line for public-market investors: you cannot buy "the industry" cleanly. THRY and GTM are the nearest listed exposures, but both carry heavy transition risk (below), and the marquee assets (Data Axle, Acxiom, Dun & Bradstreet) have largely been handed to buyout firms.

5. How the money works

This is a data-asset business — build a database once, monetize it many times. Revenue generally comes from four sources: (1) paid placement and advertising in directories; (2) list rental, licensing, or one-time file sales; (3) subscription or API (application programming interface) access to business and consumer data; and (4) data cleaning, address validation, enrichment, lead generation, and campaign execution. Customers include B2B and business-to-consumer (B2C) marketers, local businesses, publishers, nonprofits, political organizations, and other data users.

The metrics that matter:

• Data scale and freshness. The core asset is the number of accurate records and how current they are. Contact data decays fast — an industry rule of thumb is ~2–2.5% per month as people move and businesses close — so continuous re-verification is the single biggest cost. Match rate and accuracy are the product [6].
• Recurring revenue and net revenue retention (NRR). Modern compilers sell subscriptions and data-as-a-service. NRR — whether existing customers renew and spend more — is the key gauge; when B2B budgets tighten, subscriptions churn quickly (ZoomInfo's core problem) [8].
• List-rental pricing (CPM). Brokered lists are priced per thousand names — cost per mille (CPM) — often with add-on "selects" (filters by geography, industry, title) that raise the price.
• Directory advertising / lead fees. Legacy Yellow Pages and vertical directories (Thomasnet) charge sellers for placement and qualified leads rather than for the data itself.
• Margins and operating leverage. Because copying a record is nearly free, gross margins are very high and the model has strong operating leverage — which is why revenue per worker (~$500K) dwarfs a normal publishing business. Note the federal file provides no margin, churn, response-rate, or revenue-per-record figures, and receipts are not profit or free cash flow.

The legacy-vs-new split, seen through Thryv: its Marketing Services segment (print + digital directory advertising) generated ~$480.7 million in 2024 and is deliberately shrinking as the company converts directory advertisers into software subscribers; software-as-a-service (SaaS) revenue grew 34% in 2025 and passed ~62% of the total, with a full exit from Marketing Services targeted by the end of 2028 [7]. That is the template for the whole sector: milk the declining directory cash flow to fund a recurring-revenue data or software business.

6. What drives demand

Demand comes from the continuing need to identify, reach, and verify businesses and consumers:

• B2B sales and marketing budgets — the largest single driver for the data platforms. When companies expand sales teams they buy more contact data; in downturns they cut it first.
• Local-business discovery and digital listings, and small-business advertising — the shrinking base for legacy directories.
• Direct mail and consumer marketing — still a multibillion-dollar U.S. channel (roughly $11 billion in advertising spend), but declining ~4–5% a year as budgets move to digital [18].
• Public-record and industry research, and data enrichment for customer-relationship-management (CRM) systems, identity, compliance, and fraud workflows.
• AI adoption — martech and "go-to-market" tools need clean data to feed them (a tailwind), but AI models that can assemble contact info themselves are an emerging substitute.

The print channel is under measurable pressure. The U.S. Postal Service (USPS) reported Marketing Mail volume of 56.756 billion pieces in fiscal 2025, down from 57.520 billion in fiscal 2024 [20], and the Bureau of Labor Statistics (BLS) found employment in directory and mailing-list publishing fell 75.1% between 2000 and 2024 [19]. Print economics are also squeezed by input costs: USPS proposed mailing-services price increases of ~4.8% for July 2026 (a First-Class stamp rising from 78 to 82 cents) [21], and the BLS Producer Price Index (PPI) for June 2026 showed paper up 2.7% and commercial printing up 3.9% year over year [22].

7. Regulation

Directory and list publishers are not licensed like a bank or utility. The binding constraints are data-privacy and marketing law, and they have tightened sharply — data provenance, consent notices, opt-out handling, and security controls are core operating capabilities, not overhead.

Federal marketing-conduct laws:

• CAN-SPAM Act (Controlling the Assault of Non-Solicited Pornography And Marketing; Federal Trade Commission [FTC]-enforced): commercial email — including B2B email — must carry a valid physical postal address and a working opt-out, and harvesting email addresses is prohibited [23].
• TCPA (Telephone Consumer Protection Act; Federal Communications Commission [FCC]): governs calls, texts, robocalls, and faxes; telemarketing generally requires prior express written consent [24].
• DPPA (Driver's Privacy Protection Act): restricts use of state motor-vehicle records — a common data source [25].
• FCRA (Fair Credit Reporting Act): if a list is used to make credit, employment, insurance, or housing eligibility decisions, the compiler becomes a regulated consumer reporting agency with strict duties and statutory damages of $100–$1,000 per willful violation. Compilers work hard to keep ordinary marketing lists out of FCRA-regulated uses [25].

State data-broker laws (the fast-moving front):

• California's Delete Act requires data brokers to register annually with the California Privacy Protection Agency (CPPA). Via the DROP (Delete Request and Opt-out Platform), consumers can file a single deletion request that applies to every registered broker: DROP opened to consumers in January 2026, and registered brokers must begin honoring requests through it by August 1, 2026, re-checking at least every 45 days. SB 361 (2025) expanded required disclosures — including whether a broker collects sensitive categories and whether it shares data with foreign actors, law enforcement, or AI developers. Penalties run $200 per day per violation [26].
• Vermont (since 2019), Texas and Oregon (both effective Jan 1, 2024) also require registration and disclosure; annual fees range from $100 (Vermont) to $6,600 (California) [27].

Direction of travel (judgment): compliance cost is rising and the legally usable data pool is narrowing. That favors large, well-capitalized compilers who can absorb the cost and hurts small brokers — a quiet consolidation pressure. Compilations of public record still carry meaningful First Amendment protection, which is why aggressive data-broker rules remain legally contested.

8. Competitive dynamics and consolidation

• Structural decline of print. Yellow Pages and printed directories have collapsed under search engines and online listings (BLS employment down 75.1% since 2000), and the industry's value has migrated to digital data platforms; the related database-and-directory publishing niche has been shrinking at a mid-single-digit annual rate [18][19].
• Consolidation at the top. The top 20 firms hold ~83% of receipts and the top 50 hold ~93%, yet HHI is a moderate 841 [2]. Recent deals: Dun & Bradstreet taken private by Clearlake ($7.7B, 2025) [15]; Infogroup rebranded to Data Axle under Court Square [12], which acquired Exact Data (2021) [13]; Thomas/Thomasnet sold to Xometry ($300M, 2021) [9]; Acxiom folded into IPG and then Omnicom (2025) [16].
• Porous competitive boundary. Directory and list publishers compete with search engines, maps, social platforms, CRM vendors, and large language models; free public records and customer-owned databases are also substitutes. New AI-native data-enrichment startups are undercutting incumbents' subscription pricing — part of why ZoomInfo/GTM's shares have been under heavy pressure [8].
• Platform threat. Microsoft's LinkedIn owns the richest, self-updating professional graph, and free/open data erodes the value of static compiled lists — a persistent margin threat to independent compilers.

Judgment: the strongest acquisition targets are not static lists. They are businesses with proprietary data, frequent refresh cycles, high retention, workflow integration, and defensible compliance processes.

9. Risks

• Print/directory decline is secular, not cyclical; legacy cash flows fade every year, and print carries postage/paper/printing cost inflation [20][21][22].
• Privacy regulation compresses the usable data supply and raises cost; deletion regimes (California's DROP) can shrink the asset itself [26].
• AI cuts both ways — it commoditizes basic contact data (bad) while creating demand for verified, structured data to ground models (good). Net effect is unsettled.
• High churn on discretionary budgets. B2B data and marketing tools are among the first line items cut in a downturn, making revenue volatile (visible in GTM's swings) [8].
• Data-quality, breach, and litigation risk — stale or improperly sourced data drives refunds and churn, and TCPA/FCRA class actions and breaches carry large potential liabilities [25].
• Platform and source dependence — reliance on third-party feeds, search engines, and data marketplaces that can restrict access, ranking, or pricing.
• Customer concentration — a few large buyers can drive a disproportionate share of list, data, or ad revenue.
• Leverage and transition risk — PE-owned platforms may carry meaningful debt while funding a digital pivot.

10. How to invest and the outlook

Public routes. There is no clean pure-play, so exposure means accepting a wider business — focus on the share of revenue tied to directory/data/marketing, planned print-exit dates, renewal/churn trends, data accuracy, and free cash flow after data, tech, compliance, and debt costs:

• Thryv (THRY) — a bet that a legacy directory company can complete its pivot to small-business software before the print cash flow runs out [7].
• ZoomInfo / GTM (GTM) — the largest listed B2B data platform, cheap after a sharp de-rating, but facing churn and AI-substitution questions [8].
• Experian (EXPN/EXPGY), TransUnion (TRU), and Xometry (XMTR) — diversified names where compiled data or an industrial directory is one component [9][10][11].
• Dun & Bradstreet is no longer public after the 2025 Clearlake buyout [15] — a reminder that the marquee assets keep leaving public markets.

Private routes. Because the biggest capacity is privately held, private investors get more direct exposure by buying or backing data compilers, list-brokerage firms, and vertical directories — smaller, cash-generative niche businesses (trade directories, specialty consumer lists) that trade hands regularly — plus PE vehicles that own the scaled compilers (Court Square/Data Axle, Clearlake/D&B). The core diligence questions concern data rights, consumer consent, refresh frequency, opt-out systems, accuracy testing, contract renewals, customer concentration, cybersecurity, litigation reserves, and debt capacity.

Near-term drivers to watch:

1. Whether the SaaS/data pivots outrun the print decline — Thryv's SaaS mix and the data platforms' net revenue retention are the tells [7][8].
2. California's DROP deletion regime and SB 361 — how much they actually shrink usable data and raise compliance cost across every broker [26].
3. AI's net verdict — does it commoditize contact data faster than it creates demand for verified, licensed training and grounding data?
4. More take-privates — with public multiples depressed, expect further PE consolidation of the scaled compilers.

Overall judgment: the directory-and-mailing-list label describes a declining print core wrapped around a valuable, high-margin data engine. The winners will be well-capitalized compilers that convert legacy directory revenue into recurring, compliant data and software subscriptions while absorbing rising privacy-compliance cost. The industry is more attractive where it sells a continuously updated business process than a static name-and-address file. For public investors the choices are few and transition-heavy; for private investors the more interesting opportunities lie in the niche compilers and directories the public market overlooks.

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Sources

1. U.S. Census Bureau, 2022 NAICS Definition and Manual — 513140 Directory and Mailing List Publishers, 2022. https://www.census.gov/naics/?input=513140&year=2022; https://www.census.gov/naics/reference_files_tools/2022_NAICS_Manual.pdf
2. U.S. Census Bureau, 2022 Economic Census — Concentration of Largest Firms (receipts, firm count, CR4/CR8/CR20/CR50, HHI), NAICS 513140. https://data.census.gov/table/ECNSIZE2022.EC2200SIZECONCEN?g=010XX00US&n=513140&y=2022
3. U.S. Census Bureau, County Business Patterns: 2023 (establishments, employment, annual and Q1 payroll), NAICS 513140. https://data.census.gov/table/CBP2023.CB2300CBP?g=010XX00US&n=513140
4. U.S. Census Bureau, Nonemployer Statistics: Frequently Asked Questions, 2025. https://www.census.gov/programs-surveys/nonemployer-statistics/about/faq.html
5. U.S. Small Business Administration, Table of Size Standards, 2023. https://www.sba.gov/document/support-table-size-standards
6. Dun & Bradstreet First Research, Directory & Mailing List Publishers — Industry Profile, 2025. https://www.firstresearch.com/Industry-Research/Directory-and-Mailing-List-Publishers.html
7. Thryv Holdings, Form 10-K FY2025 and investor releases (SaaS growth 34% in 2025; Marketing Services ~$480.7M in 2024; segment exit targeted by end-2028), 2024–2026. https://www.sec.gov/Archives/edgar/data/1556739/000155673926000013/thry-20251231.htm; https://investor.thryv.com/news/
8. ZoomInfo Technologies, Form 10-K FY2025 and ZoomInfo Cements Go-To-Market Leadership with New Nasdaq Trading Symbol 'GTM' (Business Wire, 12 May 2025). https://www.sec.gov/Archives/edgar/data/1794515/000179451526000012/zi-20251231.htm; https://www.businesswire.com/news/home/20250512038027/en/
9. Xometry, Inc., Form 10-K FY2025 (Thomasnet/Services ~$57.0M, ~8% of revenue) and Xometry Acquires Thomas (8 Dec 2021, ~$300M). https://investors.xometry.com/static-files/f306aa14-76db-4469-80e8-6fb8dfce9fdd; https://investors.xometry.com/news-releases/news-release-details/xometry-acquires-thomas-accelerating-manufacturing-industrys
10. Experian plc, Annual Report 2026 and shareholder disclosures. https://www.experianplc.com/content/dam/marketing/global/plc/en/assets/documents/reports/2026/experian-annual-report-2026.pdf; https://www.experianplc.com/investors/shareholders
11. TransUnion, Annual Report 2025 (TruAudience marketing solutions), 2026. https://investors.transunion.com/~/media/Files/T/Transunion-IR-V2/annual-reports/2025/transunion-2025-annual-report.pdf
12. Court Square Capital Partners, Data Axle (portfolio company; formerly Infogroup/InfoUSA), 2026. https://www.courtsquare.com/portfolio/data-axle/
13. Data Axle, Data Axle Acquires Exact Data, 2021. https://www.data-axle.com/about-us/news-media-coverage/data-axle-acquires-exact-data-expanding-leadership-in-data-solutions-and-services-for-the-smb-market/
14. Hibu, Yellowbook Conditions of Use (private operator of Yellowbook print/digital directories). https://hibu.com/legal/yb-conditions-of-use
15. Dun & Bradstreet Holdings, Clearlake Completes Acquisition of Dun & Bradstreet (2025, $7.7B) and SEC filings. https://www.dnb.com/en-us/newsroom/press-releases/clearlake-completes-acquisition-of-dnb.html; https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0001799208
16. Acxiom (Interpublic/IPG ownership; IPG–Omnicom merger, 2025), Wikipedia, 2026. https://en.wikipedia.org/wiki/Acxiom
17. MacAndrews & Forbes, Portfolio: Vericast, 2026. https://www.macandrewsandforbes.com/portfolio/
18. IBISWorld, Direct Mail Advertising in the US (2026) and Database & Directory Publishing analyses (2025). https://www.ibisworld.com/united-states/industry/direct-mail-advertising/1438/
19. U.S. Bureau of Labor Statistics, Industries with Employment Decreases from 2000 to 2024, 2025. https://www.bls.gov/opub/ted/2025/industries-with-employment-decreases-from-2000-to-2024.htm
20. United States Postal Service, Fiscal Year 2025 Results (Marketing Mail volume), 2025. https://about.usps.com/newsroom/national-releases/2025/1114-usps-reports-fiscal-year-2025-results.htm
21. United States Postal Service, USPS Recommends New Prices for July, 2026. https://about.usps.com/newsroom/local-releases/or/2026/0409-usps-recommends-new-prices-for-july.htm
22. U.S. Bureau of Labor Statistics, Producer Price Index News Release: June 2026, 2026. https://www.bls.gov/news.release/ppi.htm
23. Federal Trade Commission, CAN-SPAM Act: A Compliance Guide for Business, 2024. https://www.ftc.gov/business-guidance/resources/can-spam-act-compliance-guide-business
24. Federal Communications Commission, Telephone Consumer Protection Act rules / consumer complaints. https://www.fcc.gov/general/telemarketing-and-robocalls
25. Federal Trade Commission, Fair Credit Reporting Act and Driver's Privacy Protection Act. https://www.ftc.gov/legal-library/browse/statutes/fair-credit-reporting-act
26. California Privacy Protection Agency, Information for Data Brokers (Delete Act; DROP; SB 361), and Troutman Pepper Locke, California Delete Act, 2023–2026. https://cppa.ca.gov/data_brokers/; https://www.troutman.com/insights/california-delete-act-an-aggressive-new-approach-to-regulating-data-brokers/
27. California Lawyers Association, Data Broker Regulation Framework: A Comparative Analysis of California, Texas, Vermont and Oregon, 2025. https://calawyers.org/privacy-law/data-broker-regulation-framework-a-comparative-analysis-of-california-texas-vermont-and-oregon/