{"id":2221,"date":"2026-10-27T19:31:02","date_gmt":"2026-10-27T19:31:02","guid":{"rendered":"https:\/\/predictleads.com\/blog\/firmographic-vs-technographic-data\/"},"modified":"2026-10-27T19:31:02","modified_gmt":"2026-10-27T19:31:02","slug":"firmographic-vs-technographic-data","status":"publish","type":"post","link":"https:\/\/predictleads.com\/blog\/firmographic-vs-technographic-data\/","title":{"rendered":"What Is Firmographic Data? A B2B Guide October 2026"},"content":{"rendered":"<p>Say you&#8217;re building a segment of mid-market software companies with 50 to 200 employees and a specific revenue band. The attributes you&#8217;re filtering on, industry, size, revenue, location, ownership, are firmographic data, and they&#8217;re the backbone of any account-based approach. This guide covers what firmographic data actually includes, how it stacks up against technographic and behavioral segmentation, and how to keep those fields from going out of date.<\/p><p><strong>TLDR:<\/strong><\/p><ul class=\"list-disc pl-6\"><li class=\"list-item\">Firmographic data covers industry, headcount, revenue, location, and ownership structure for companies.<\/li><li class=\"list-item\">Technographic data identifies software and infrastructure a company uses or has recently used, found through website code, DNS records, and job postings.<\/li><li class=\"list-item\">Firmographic segmentation filters large lists down to accounts worth calling, often paired with behavioral or intent signals for timing.<\/li><li class=\"list-item\">Appended firmographic data decays as companies grow, get acquired, or rebrand, so re-verify fields on a quarterly cadence.<\/li><li class=\"list-item\">PredictLeads tracks firmographic attributes, including industry classification via NAICS codes, through its Companies dataset.<\/li><\/ul><h2>What Is Firmographic Data?<\/h2><p>Firmographic data is the set of organization-level attributes, industry, size, revenue, location, and structure, that B2B teams use to profile and categorize companies. It is the business equivalent of demographics, except it describes a company instead of a person.<\/p><p>The firmographic meaning traces back to industrial marketing research from the 1970s and 1980s, when scholars needed a way to segment organizations the way marketers already segmented individual consumers. The term is sometimes called emporographics or firm demographics, blending &#8220;demographics&#8221; with &#8220;geographics.&#8221; These firmographic synonyms all point to the same concept: structural facts about a company, not the people inside it.<\/p><h2>Firmographic Data Examples<\/h2><p>Firmographic data breaks down into a handful of recurring categories, each useful for a different segmentation task.<\/p><ul class=\"list-disc pl-6\"><li class=\"list-item\">Industry classification: North American Industry Classification System (NAICS) or Standard Industrial Classification (SIC) codes group companies by what they do, so you can target &#8220;software publishers&#8221; instead of guessing from a name.<\/li><li class=\"list-item\">Company size: Headcount separates a 10 person startup from a 10,000 person enterprise. Of 6.4 million US companies with paid employees, 89 percent had fewer than 20, and only 21,041 had 500 or more, per the <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/www.census.gov\/data\/tables\/2022\/econ\/susb\/2022-susb-annual.html\">Census Bureau<\/a>.<\/li><li class=\"list-item\">Annual revenue: Shows whether a company can afford your product, apart from headcount.<\/li><li class=\"list-item\">Location: Headquarters and branch sites drive territory assignment and outreach timing.<\/li><li class=\"list-item\">Ownership structure: Public, private, or subsidiary status changes who approves the deal.<\/li><li class=\"list-item\">Funding stage: A company fresh off a Series B has budget a bootstrapped firm may not.<\/li><\/ul><h2>Firmographic Data vs Demographic Data<\/h2><p>Demographic data describes a person: age, income, education, job title. Firmographic data describes the organization that person works for: industry, size, revenue, location. In B2B, a job title shows who can approve a purchase, while firmographics show whether the employer is a plausible buyer at all. A VP of Sales at a 10 person startup behaves differently from one at a 5,000 person enterprise, even with the same title.<\/p><table class=\"border-collapse table-fixed w-full max-w-full\" style=\"border-collapse: collapse; width: 100%; min-width: 150px\"><tbody><tr class=\"\"><th colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #f9fafb; color: #000000; padding: 12px; text-align: left; font-size: 14px\"><p><\/p><\/th><th colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #f9fafb; color: #000000; padding: 12px; text-align: left; font-size: 14px\"><p>Demographic data<\/p><\/th><th colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #f9fafb; color: #000000; padding: 12px; text-align: left; font-size: 14px\"><p>Firmographic data<\/p><\/th><\/tr><tr class=\"\"><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Measures<\/p><\/td><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Age, job title, income, education<\/p><\/td><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Industry, headcount, revenue, location<\/p><\/td><\/tr><tr class=\"\"><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Typical source<\/p><\/td><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Surveys, forms, CRM contact fields<\/p><\/td><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Company registries, websites, firmographic data providers<\/p><\/td><\/tr><tr class=\"\"><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Used for<\/p><\/td><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Persona building, message tone<\/p><\/td><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Account targeting, territory and tier assignment<\/p><\/td><\/tr><\/tbody><\/table><h2>Firmographic Data vs Technographic Data<\/h2><p>Firmographic data and technographic data answer different questions about the same account. Firmographic data describes what a company is: its industry, headcount, revenue, and location. Technographic data describes what a company uses: its CRM, cloud host, and the rest of its software stack. A sales team might filter firmographically to land on mid-market software companies in a specific revenue band, then layer in technographic data to see which of those accounts already use, or have recently used, a complementary tool or a competitor&#8217;s product. The two approaches pair well because firmographics narrow a broad market to a workable account list, while technographics add tech-stack context that firmographics alone cannot show. The section below defines technographic data on its own terms before comparing how each approach supports segmentation differently.<\/p><h2>What Is Technographic Data?<\/h2><p><a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/blog\/technographic-data\/\">Technographic data<\/a> identifies which software, hosting, and infrastructure a company uses, from CRM platform to cloud host. Providers detect this through <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/blog\/technographic-data-collection-methods\">technographic data collection methods<\/a> such as website code, DNS records, cookies, and job postings, together offering evidence of tools a company uses or has recently used.<\/p><p>In marketing, technographic segmentation applies that detection to targeting: group companies by tech stack instead of size or industry, since your product may only matter to companies that use, or have recently used, a complementary or competing tool.<\/p><p><a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/blog\/technographic-data-providers\/\">Technographic data providers<\/a> split into specialists and bundled suites like ZoomInfo, which tracks technology usage across more than <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/ir.zoominfo.com\/news-releases\/news-release-details\/zoominfo-provides-technology-usage-insights-more-30-million\/\">30 million companies<\/a>.<\/p><h2>Firmographic Segmentation Explained<\/h2><p>Firmographic segmentation groups companies by shared traits so sales and marketing teams can rank and tailor messaging by segment instead of treating every account the same.<\/p><p>Most B2B teams segment along four axes:<\/p><ul class=\"list-disc pl-6\"><li class=\"list-item\">Industry: group by NAICS code, since a healthcare buyer and a logistics buyer face different problems.<\/li><li class=\"list-item\">Company size: headcount ranges separate startups from enterprises, since buying processes differ sharply at each tier.<\/li><li class=\"list-item\">Revenue band: isolates companies that can plausibly afford your price point.<\/li><li class=\"list-item\">Location: supports territory assignment and timezone-aware outreach.<\/li><\/ul><p>A worked example: a sales team might define a segment as mid-market software companies in North America with 50 to 200 employees, then add a revenue band of 5 million to 50 million dollars. That filter stack cuts a list of thousands down to the accounts worth calling first, each segment getting its own message and priority score.<\/p><figure class=\"wp-block-image\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1672\" height=\"941\" src=\"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/DftiqycMjlaYI4NwHlv2w.png\" alt=\"An abstract visualization of business segmentation: clusters of geometric building icons grouped into distinct colored clusters by size and type, arranged on a clean grid background, suggesting categorization and filtering of companies into groups, modern minimal corporate illustration style\" class=\"wp-image-2220\" srcset=\"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/DftiqycMjlaYI4NwHlv2w.png 1672w, https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/DftiqycMjlaYI4NwHlv2w-300x169.png 300w, https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/DftiqycMjlaYI4NwHlv2w-1024x576.png 1024w, https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/DftiqycMjlaYI4NwHlv2w-768x432.png 768w, https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/DftiqycMjlaYI4NwHlv2w-1536x864.png 1536w\" sizes=\"(max-width: 1672px) 100vw, 1672px\" \/><\/figure><h2>Firmographic Segmentation vs Psychographic and Behavioral Segmentation<\/h2><p>Firmographic segmentation groups companies by structural traits. Psychographic segmentation groups decision-makers by values, culture, or attitudes, things like risk tolerance or how a buying committee views vendor consolidation. Behavioral segmentation groups prospects by observed actions: website visits, content downloads, demo requests, past purchases. Demographic segmentation applies at the individual buyer level, job title, seniority, tenure, distinct from company-level firmographics even though the two often get paired.<\/p><p>Each approach answers a different question:<\/p><table class=\"border-collapse table-fixed w-full max-w-full\" style=\"border-collapse: collapse; width: 100%; min-width: 150px\"><tbody><tr class=\"\"><th colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #f9fafb; color: #000000; padding: 12px; text-align: left; font-size: 14px\"><p>Segmentation type<\/p><\/th><th colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #f9fafb; color: #000000; padding: 12px; text-align: left; font-size: 14px\"><p>Groups by<\/p><\/th><th colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #f9fafb; color: #000000; padding: 12px; text-align: left; font-size: 14px\"><p>Best for<\/p><\/th><\/tr><tr class=\"\"><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Firmographic<\/p><\/td><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Industry, size, revenue, location<\/p><\/td><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Defining who qualifies as a target account<\/p><\/td><\/tr><tr class=\"\"><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Psychographic<\/p><\/td><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Values, culture, attitudes of buyers<\/p><\/td><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Shaping message tone and positioning<\/p><\/td><\/tr><tr class=\"\"><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Behavioral<\/p><\/td><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Website visits, downloads, purchase history<\/p><\/td><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Timing outreach to active interest<\/p><\/td><\/tr><tr class=\"\"><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Demographic<\/p><\/td><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Individual job title, seniority, income<\/p><\/td><td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\"><p>Identifying the right contact within an account<\/p><\/td><\/tr><\/tbody><\/table><p>Firmographics tell you which companies belong on a list, not who on that list is paying attention right now. Most mature B2B programs layer firmographic targeting with behavioral or intent signals, an approach covered in depth in <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/blog\/account-based-marketing-technographic-data\/\">account-based marketing technographic data<\/a>, instead of picking one type alone.<\/p><h2>Why Firmographic Data Matters for B2B Sales and Marketing<\/h2><p>Firmographic data turns a vague target market into a workable account list. A rep can rule out companies outside the right revenue band or industry in seconds, instead of researching each one by hand. RevOps uses the same attributes to split territories fairly, and marketing matches messaging to context, since a pitch built for a 20 person startup rarely lands with a 5,000 person enterprise.<\/p><p>This is also the backbone of account-based marketing, where campaigns target a defined list instead of a wide net, often built using <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/blog\/technographic-data-for-abm-and-how-to-build-target-account-lists\/\">technographic data for ABM<\/a> alongside firmographic filters. The global account-based marketing market was valued at 1.4 billion dollars in 2024, is estimated to reach 1.9 billion dollars in 2026, and is projected to reach 3.8 billion dollars by 2030, growing at a compound annual rate of 17.9 percent, according to <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/www.grandviewresearch.com\/industry-analysis\/account-based-marketing-market-report\">Grand View Research<\/a>.<\/p><h2>Where to Find Firmographic and Technographic Data<\/h2><p>Teams sourcing firmographic and technographic data typically pick from four paths, each with a different tradeoff between cost, coverage, and freshness.<\/p><ul class=\"list-disc pl-6\"><li class=\"list-item\">Public and government databases: business registries, census data, and regulatory filings are free and authoritative, but update slowly and vary in format across jurisdictions.<\/li><li class=\"list-item\">Third-party data vendors: these aggregate company records at scale, trading some accuracy for broad coverage. Methodology differs, so two vendors can report different headcounts for the same company, a gap closely tied to <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/blog\/technographic-data-accuracy\/\">technographic data accuracy<\/a> issues across providers.<\/li><li class=\"list-item\">Primary research: surveys and outreach produce the most current data for a narrow set of accounts, but do not scale past a few hundred companies.<\/li><li class=\"list-item\">API-based access: delivers structured records directly into a CRM or data warehouse for teams that need continuous refresh instead of a one-time pull.<\/li><\/ul><p>A one-time market sizing exercise can lean on public sources. A sales team scoring live leads needs a vendor or API with regular refresh cycles instead, which is why it helps to know <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/blog\/how-to-choose-a-technographic-data-provider\/\">how to choose a technographic data provider<\/a> before committing budget.<\/p><h2>How to Append and Maintain Accurate Firmographic Data<\/h2><p>Firmographic data append matches an existing record, usually by domain or company name, against a reference database to fill in missing fields like revenue range, employee count, industry code, and location.<\/p><p>A few habits keep appended data usable:<\/p><ul class=\"list-disc pl-6\"><li class=\"list-item\">Re-verify on a set cadence, such as quarterly, instead of treating an append as a one-time task.<\/li><li class=\"list-item\">Cross-check fields against more than one source, since a single vendor&#8217;s methodology can misjudge headcount or revenue.<\/li><li class=\"list-item\">Watch match keys closely. Name variants, website redirects, and subsidiaries under a parent company cause silent mismatches.<\/li><\/ul><p>Domain-based matching holds up better than name matching, since a domain stays fixed while names vary across sources.<\/p><h2>How PredictLeads Supports Firmographic and Technographic Data Needs<\/h2><p>PredictLeads provides both sides of this data directly, including a <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/blog\/technographics-dataset\/\">technographics dataset<\/a> alongside firmographics. The Companies dataset tracks firmographic attributes, industry via NAICS codes, headcount ranges, revenue estimates, structured location data, and parent or subsidiary relationships, across more than 133 million companies in 195 countries, updated daily. That daily refresh matters for an append workflow, since headcount and revenue bands shift as a company grows, gets acquired, or rebrands. Pairing those firmographic fields with technographic detections lets you filter an account list by industry and size, then see which technologies each account currently uses or has recently used, all from a single provider.<\/p><figure class=\"wp-block-image\"><img decoding=\"async\" width=\"1672\" height=\"941\" src=\"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/ukXVRwfRlZ08gzF9yR3_o.png\" alt=\"An abstract visualization of a global data network: a stylized world map rendered as a grid of connected nodes and lines, glowing points clustered over continents representing companies tracked worldwide, clean minimal corporate illustration style, blue and teal color palette, no text or labels\" class=\"wp-image-2219\" srcset=\"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/ukXVRwfRlZ08gzF9yR3_o.png 1672w, https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/ukXVRwfRlZ08gzF9yR3_o-300x169.png 300w, https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/ukXVRwfRlZ08gzF9yR3_o-1024x576.png 1024w, https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/ukXVRwfRlZ08gzF9yR3_o-768x432.png 768w, https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/ukXVRwfRlZ08gzF9yR3_o-1536x864.png 1536w\" sizes=\"(max-width: 1672px) 100vw, 1672px\" \/><\/figure><h2>Final Thoughts on Using Firmographic Data in B2B<\/h2><p>Good account targeting starts with firmographic basics but gets stronger once you layer in technographic and behavioral signals. You don&#8217;t need every data point, just the ones that actually change how you rank and talk to accounts. Keep your sources cross-checked and your append cadence consistent, and your list stays worth working. When you&#8217;re curious how this plays out with real accounts, <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/sign_up\">create an account<\/a> for 100 free API requests, no credit card required.<\/p><h2>FAQ<\/h2><h3>What is firmographic data in simple terms?<\/h3><p>Firmographic data is a set of organization-level facts, industry, headcount, revenue, location, and ownership structure, used to describe and categorize a company. It is the B2B equivalent of demographic data for individuals, and it typically comes from firmographic data providers, company registries, or direct firmographic data append against your existing records.<\/p><h3>Firmographic data vs technographic data: which should I use for targeting?<\/h3><p>Use firmographic data to decide which companies belong on your list (industry, size, revenue band) and technographic data to decide which of those companies are a fit based on their tech stack. Most B2B teams combine both: firmographic segmentation narrows a market to a workable account list, then technographic segmentation (via a technology detections dataset tracking tools like Salesforce or HubSpot) flags which accounts use a complementary or competing product.<\/p><h3>How does ZoomInfo technographic data compare to a specialized technographic data provider?<\/h3><p>ZoomInfo bundles technographic data with firmographic and contact data, tracking technology usage across more than 30 million companies, which suits teams that want one vendor for everything. A specialized technographic data provider that detects technologies through script tags, DNS records, cookies, and job postings can offer more source transparency into how and where each detection was found, which matters when you need evidence for a competitor displacement or integration-targeting play.<\/p><h3>What is firmographic segmentation and how do I build a segmentation example?<\/h3><p>Firmographic segmentation groups companies by shared structural traits, industry, headcount, revenue, and location, so you can rank and message each segment differently instead of treating every account the same. A typical firmographic segmentation b2b example: mid-market software companies in North America with 50 to 200 employees and 5 million to 50 million dollars in revenue, which narrows a list of thousands down to the accounts worth calling first.<\/p><h3>Can I get alerted when a target account posts a new job opening or raises funding?<\/h3><p>Yes. A company intelligence API that tracks Job Openings and Financing Events as separate datasets lets you query or receive webhook notifications when a followed company posts a new role or shows a <code spellcheck=\"false\">receives_financing<\/code> event, instead of manually checking a careers page or news feed. This turns hiring and funding activity, two of the strongest firmographic data examples of account momentum, into timed outreach triggers instead of static profile fields.<\/p><h2>Ready to see this in your own data?<\/h2><p>Get 100 free API requests when you <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/sign_up\">create an account<\/a> &#8211; no credit card, no sales call.<\/p>","protected":false},"excerpt":{"rendered":"<p>See how firmographic data powers B2B targeting, how it compares to technographic data, and how to keep fields accurate, October 2026.<\/p>\n","protected":false},"author":8,"featured_media":2218,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[3],"tags":[77],"class_list":["post-2221","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-competitive-intelligence","tag-company-data"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.4 (Yoast SEO v28.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Firmographic Data 101 | Oct 2026<\/title>\n<meta name=\"description\" content=\"See how firmographic data powers B2B targeting, how it compares to technographic data, and how to keep fields accurate, October 2026.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/predictleads.com\/blog\/firmographic-vs-technographic-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What Is Firmographic Data? 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