Technographics
Updated October 21, 2026
Technographics are data about the technology a company uses, such as its CMS, analytics, ecommerce platform, CRM and cloud services. B2B teams use them to judge whether a product fits an account's stack and to find accounts that run a competing or complementary tool. Much technographic data comes from scanning public websites, so tools that leave no trace on a page are hard to see.
In short: Technographics are data about the software and infrastructure a company runs, often gathered from public website fingerprints and used in B2B sales to qualify accounts by fit, gaps and competitor installs.
How technographics work
Technographics describe a company by the tools it runs, the way firmographics describe it by industry, size and location. HubSpot's definition covers the technology itself, how widely an organization has adopted it, and the problems it creates 1. A sales team reads those facts as fit. An account on a platform your product integrates with is easier to win than one on a stack you cannot connect to.
Much technographic data starts with a website scan. A detector loads a public page and looks for the fingerprints software leaves in it, such as scripts, response headers and markup 3. Each fingerprint maps to a named technology, and the technologies group into categories such as CMS, analytics, CDN, frameworks and payments 3. Run the same scan across a large sample of the web and you get market share figures like the ones W3Techs publishes 2.
The scan has a ceiling. Anything that leaves no trace on the page a visitor receives stays invisible. A detector can name a checkout or a tag manager with confidence and say nothing about the CRM, the data warehouse or the internal build system 3. A site behind a strict bot wall, or one that ships everything in one opaque bundle, returns a thinner result than its real stack 3.
Technographics feed an ideal customer profile and sit beside the other fields that data enrichment adds to an account. A change in the stack, such as a tool that appears or disappears between two scans, is one of the buying signals outbound teams act on.
Types of technographic data
Teams usually sort technographic data by what it describes and by how well a scan can see it.
- Website technologies, detected from the public page. CMS, analytics, tag managers, CDNs, frameworks and payment tools sit here, and a scan reads this layer well 3.
- Go-to-market tools that load on the page, such as marketing and revenue tooling. RichAPI returns these in a separate gtmSignals object, because they show how a company sells rather than how its site is built 3.
- Internal systems, such as the CRM, the data warehouse and back-office software. A public scan cannot see them 3.
- Social technographics, which HubSpot treats as a separate idea about how an enterprise uses social media technology 1.
Each layer answers a different sales question. Website technologies tell you about platform fit and integration targets. Go-to-market tools tell you whether the account already buys software like yours. Internal systems are the layer a scan sees least, so treat any claim about them as something to confirm on a discovery call. A dedicated tech stack lookup covers the single-domain version of this job.
Example of technographics
W3Techs runs this kind of scan across the web and publishes the results, updated daily 2. Its October 2026 report on content management systems shows what one technographic field looks like at scale 2.
- WordPress runs on 39.6% of all websites, which is 58.3% of the sites that use a CMS W3Techs monitors 2.
- Shopify runs on 5.3% of all websites 2.
- Webflow runs on 0.8% of all websites 2.
- 32.1% of websites use none of the content management systems W3Techs monitors 2.
Two things carry over to an account list. First, the two WordPress figures differ because they use different denominators. The share of all websites includes sites with no detected CMS, while the market share counts only sites where one was found 2. Any rate you compute on your own list needs the same check on its denominator. Second, almost a third of sites returned no monitored CMS, so an empty result is normal and does not mean a company runs nothing.
For one account, a detector returns the same kind of answer for one domain. RichAPI Tech Stack Detector takes a url and an optional cache flag, and returns three keys 3.
{"technologies": [], "categories": {}, "gtmSignals": {}}The reference advises building against technologies first, because the published spec ships categories and gtmSignals as empty objects and does not settle their inner shape 3. Its own use case is an agency that sells builds on one platform. One pass over the pitch list removes every account already on that platform and ranks the rest 3.
Technographics vs firmographics
Both describe an account, and teams use them together. Firmographics say what kind of company it is, such as its industry, size and location. Technographics say what it runs. HubSpot keeps the two apart and describes firmographic data as company size, product offerings, industries served, revenue and location, with no technology metrics 1. In practice, firmographics decide whether an account is in your market, and technographics decide whether your product fits it now. Firmographic fields change slowly. A stack can change with one migration, so technographic data needs more frequent checks.
| Technographics | Firmographics | |
|---|---|---|
| What it answers | What does the company run? | What kind of company is it? |
| Input | A company domain or website URL | A company identifier, such as a LinkedIn company page URL |
| Output | Detected technologies grouped by category | Industry, size band, location and founding year |
| Cost driver | One scan per domain | One enrichment call per company |
| Main risk | Reading an empty scan as an empty stack | Treating a size band as an exact headcount |
| Use it when | You qualify on platform fit or competitor installs | You define a market and segment it |
Frequently asked questions
What is technographic data in B2B sales?
Technographic data is information about the technology a company uses, such as its CMS, analytics, ecommerce platform and cloud services. B2B sales teams use it to qualify accounts by fit, to find companies that run a competitor, and to shape outreach around the tools a prospect already has.
How do you collect technographic data?
Much of it comes from scanning public websites for the scripts, headers and markup that software leaves on a page 3. You can run a detector on your own domain list, buy a technographic dataset, or ask prospects directly. Every method misses internal tools that never appear on a public page.
Is technographics the same as a tech stack?
Not quite. A tech stack is the set of tools a company runs. Technographics are the data you hold about that stack, including which tools were detected, how widely they are used and when they changed. That record can be incomplete or out of date while the stack itself has moved on.
The bottom line
Technographics are data about the software a company runs, and much of that data comes from what its public website exposes. They are a strong signal for platform fit, integrations and competitor installs, and a weak one for internal systems such as the CRM. Scan your own target list, treat an empty result as unknown, and re-scan on a schedule so stack changes reach the sales team.