Key takeaways
- Technographics describes a company's tools; firmographics describe the company.
- It matters most when your product connects to, replaces or depends on other software.
- Tech stack data is inferred from public traces, so treat it as something to check, not a fact.
- Pebbles Ai does not supply technographic data, and none of its lead or company search filters is a tech stack filter.
What does technographics mean
Technographics means the technology profile of a business: which products it runs for its website, CRM, marketing, payments, hosting and collaboration. The word follows the pattern of demographics, which describe people, and firmographics, which describe companies.
In practice it answers questions such as whether a prospect already uses a CRM, which email platform its marketing team relies on, or whether it runs on a platform your product integrates with.
What does technographic data include
Technographic data usually includes the products a company is believed to use, the category each belongs to and, where it can be estimated, when a tool appeared or disappeared. It is gathered mostly from what a company exposes in public and then matched to company records.
Internal tools that leave no public trace are often missing, so the picture is strongest for website, marketing and ecommerce software and weakest for back-office systems.
- Installed products grouped by category, such as CRM, marketing automation, analytics or ecommerce.
- Signs of change, such as a tool that recently appeared on or vanished from the company's website.
- Hiring clues: job adverts that ask for experience with a named product.
- Public statements: case studies, partner directories and integration pages that name a customer.
How is technographics different from firmographics
Firmographics describe what a company is, while technographics describe what it runs. Firmographic data covers industry, headcount, revenue band, location and ownership; two companies identical on all of those can have completely different stacks, and so very different reasons to buy.
Most teams filter by firmographics first, because those traits are stable and easy to find, then use technographics to narrow or rank the companies inside that list.
How do teams use technographic segmentation
Technographic segmentation groups prospects by the tools they use, so that targeting and messages match each group's situation. It earns its keep when your product plugs into, replaces or needs a particular kind of software.
An illustrative example: a reporting tool that connects to two accounting platforms could build one segment per platform, each with its own message and proof, instead of one generic email to every finance team.
- Integration fit: target companies that already run a platform your product connects to, and lead with that connection.
- Competitive displacement: find users of a rival product and speak to the gaps they are likely to feel.
- Readiness: skip companies that have not adopted the category at all, or are locked into a large suite.
- Timing: reach out when a change in the stack suggests a migration or a new project.
How reliable is tech stack data
Tech stack data is useful but imperfect, so treat each entry as a reason to check rather than a confirmed fact. Detection can miss tools that run behind a login, flag a script left on a website after a contract ended, or mistake one team's trial for a company-wide rollout.
Confirm the details that matter before you build a message on them: read the company's own pages, look at recent job adverts or ask in discovery. A wrong assumption about someone's tools undermines an otherwise good email.
Does Pebbles Ai provide technographic data
No, Pebbles Ai does not provide technographic or tech stack data, and its lead and company search has no tech stack filter. Find fresh leads works from named companies, roles and locations, with optional seniority, industry, company size, HQ location and keyword filters; company search in chat uses keyword, HQ country or region, industry and headcount.
If a named company's tools matter to your pitch, an assistant can research its public website and sources and cite where it found any mention. That is a check on one company at a time, not a tech stack dataset.
Where Pebbles Ai fits
- CapabilityProspecting & customer recordsDescribe your ideal customer by industry, headcount and HQ location; your assistant finds matching companies, then the right people at up to ten of them. Leads come from Pebbles Ai's own B2B contact database, GDPR compliant, with a work email and confidence score where one is found.
- CapabilityResearch & analysisAsk an assistant to check a named company's public pages, such as its integrations or careers pages, for the tools it mentions. Findings come with inline numbered citations and a source list.
Common questions
What is an example of technographic data?
An illustrative example is a record showing that a company runs a particular ecommerce platform, a named email marketing tool and a specific analytics product, with a note that the email tool appeared on its website recently.
Where does technographic data come from?
Mostly from public traces: code on a company's website, job adverts that name products, case studies, partner directories and integration listings. Some providers add survey or self-reported data.
Is technographic data worth it for a small B2B team?
It is when your product depends on or replaces other software, because it shows which prospects can use you today. If your product works the same for everyone, firmographic fit and a clear trigger matter more.
Can you gather tech stack information without a data provider?
For a short list, yes: a company's integration page, careers page and public case studies often name its main tools. It does not scale to thousands of accounts, which is why specialist providers exist.
About this page. Written by the Pebbles Ai team for people who run sales, marketing and growth. Last updated .
