Short answer
Technographics, or technographic data, describe the technology a company uses: its CRM, cloud provider, ecommerce platform, security tools and on-site infrastructure. The data comes from scanning websites for code signatures, reading job postings, public case studies, surveys and vendor partnerships. B2B teams use it to find companies that can integrate with their product, run a competitor's tool or lack something they sell. It describes what a company uses, not what it is (firmographics).
- Technographics describe what a company uses: software, cloud services, platforms and infrastructure.
- Website scans only see what runs on public pages; back-office tools need job posts, case studies or surveys.
- A filter only narrows a list if the technology is uncommon: W3Techs finds WordPress on 39.6% of websites.
- Check a sample by hand before you mention a company's technology in outreach.
On this page
This page is for SDRs, marketers and sales ops teams who filter or personalize by the tools a company uses, and for anyone evaluating a technographic data source. It covers what the data includes, where it comes from, how far to trust it, and a worked example of checking a list before outreach.
What technographics means
Technographics (from "technology" and "demographics") is data about the technology an organization uses. Where firmographics describe what a company is, technographics describe what it runs. A technographic record usually covers some of these categories:
- Web and ecommerce: website platform, analytics, chat, payment and marketing tags.
- Business applications: CRM, ERP, accounting, HR and industry software, such as practice management for law firms.
- Infrastructure: cloud provider, hosting, on-site servers and networking.
- Security and data: identity, endpoint protection, data warehouse.
A good record says not just what was found but when and how: a detection date and the evidence behind it.
How technographic data is collected
Each collection method sees a different part of the stack. Knowing which one produced a record tells you how far to trust it.
| Method | What it sees | Strength | Limit |
|---|---|---|---|
| Website scanning | Scripts, tags, page code, DNS records and HTTP headers on public pages | Broad coverage, cheap, refreshed often | Blind to back-office tools; old tags linger after a tool is cancelled |
| Job postings | Tools named in role requirements | Reaches back-office and infrastructure tools | Shows intent to use or familiarity, not always current use |
| Case studies and press | Vendor customer stories, partner announcements | Strong evidence of real deployment | Sparse and often years old |
| Surveys and reviews | What users say they use | Covers tools nothing else can see | Small samples, self-reported |
| Partner and install data | Licensing or integration records shared by vendors | Can include spend and renewal timing | Coverage limited to participating vendors |
| Asking the buyer | Discovery questions | The only fully reliable source | Only works once you're talking |
Website scanning has a ceiling. W3Techs, which surveys the technologies used on websites, says plainly that sites can hide most of their technologies if they want to. Absence of a tag isn't proof a company doesn't use a tool.
Firmographics, technographics and intent
| Data type | Question | Example |
|---|---|---|
| Firmographics | What is the company? | Law firm, 60 staff, Denver |
| Technographics | What does it use? | A cloud document management system, an on-site file server |
| Intent data | What is it researching or doing now? | Researching e-discovery tools, hiring a litigation support manager |
Combine them in that order: firmographics define who could buy, technographics who needs or can use what you sell, intent who might buy soon.
Sales plays that use technographics
| Play | Filter | Angle |
|---|---|---|
| Integration fit | Uses a platform your product connects to | "Works inside the tool your team already uses" |
| Competitive displacement | Uses a competitor | Lead with the problem competitors' customers report, not with criticism |
| Capability gap | Lacks a category of tool its peers use | The cost of the manual process it's still running |
| Migration timing | Uses an older or end-of-life version | Help with a move they'll have to make anyway |
| Infrastructure | Runs on-site servers instead of cloud or colocation | Capacity, power or space limits as the company grows |
A filter has to discriminate
A technology only narrows a list if it's uncommon. W3Techs finds WordPress on 39.6% of all websites, and 32.1% of sites use none of the content management systems it monitors. Filtering on "uses WordPress" removes about three in five sites, regardless of whether those remaining need you. Filters on rarer, more specific tools, or on combinations, are what make a list sharper.
Worked example: checking a list before outreach
Illustrative example. The company and numbers are invented to show the method.
Lexlink (lexlink.example) is a legal tech startup whose product plugs into one cloud document management system. A data source returns 400 law firms tagged as using that system. Before writing "since your team uses [system]..." to all of them, Lexlink's SDR checks a random sample of 40 by hand, looking at each firm's site, job postings and the vendor's published customer stories.
| Result in sample | Firms | Share | Applied to 400 firms |
|---|---|---|---|
| Confirmed with a dated source from the last 12 months | 28 | 70% | About 280 |
| No evidence either way | 8 | 20% | About 80 |
| Evidence they've switched to another system | 4 | 10% | About 40 |
If Lexlink sent the same "since you use [system]" email to all 400, about 40 firms would get a claim that's wrong and 80 one that can't be backed up. So it splits the list: the confirmed group gets the integration angle; the rest get an email that leads with the problem and asks which system they use. Ten minutes of sampling protected the credibility of 120 first impressions.
How to check technographic data
- Sample at least 20 to 50 records by hand before a campaign and record the confirmation rate.
- Look for the detection date; recheck anything older than about a year.
- Prefer two independent signals, such as a site tag plus a job posting.
- Keep "detected" and "confirmed" as separate labels in your CRM.
- Ask on the first call, and update the record with what the buyer tells you.
Common mistakes
- Quoting a tag as fact. "I see you use X" from a stale tag ends conversations.
- Filtering on common tools. A filter most companies pass doesn't target anything.
- Ignoring what scans can't see. Back-office and infrastructure tools rarely show on websites.
- Leading displacement with criticism. Ask about the problem; let the buyer criticize their own vendor.
Bebop Insights supplies technographic data alongside firmographic and signal data, by API or bulk file, for teams that want to run these filters in their own systems.
Next step: add timing to your filters with intent data.
Sources
- Usage statistics of content management systems, W3Techs, 25 October 2026
- W3Techs frequently asked questions, W3Techs, accessed 26 October 2026
Written by the Bebop team at Blackpearl Group. Last updated .
Questions people ask
What does technographics mean?
Technographics means data about the technology an organization uses, such as its CRM, ERP, cloud provider, website platform, security tools and on-site infrastructure. The word combines technology and demographics. B2B sales and marketing teams use it to find companies whose technology makes them a good fit, for example because they use a platform the seller integrates with or run a competitor's product.
What is technographic data used for?
Mainly for targeting and personalization. Teams use it to find companies that can integrate with their product, companies running a competitor's tool, companies missing a type of tool their peers use, and companies on older systems they'll need to replace. It also helps tailor messaging and lead scoring. It works best combined with firmographics for fit and intent or signal data for timing.
How is technographic data collected?
The most common method is scanning websites for the code, tags, DNS records and headers that particular tools leave behind. Providers add job postings that name tools, vendor case studies and press releases, surveys and reviews, and installation data shared by technology partners. Each method sees a different part of the stack, so the best sources combine several and record when and how each technology was detected.
How accurate is technographic data?
It varies by method and by tool. Website scans are good at spotting public-facing technology but miss back-office software and can keep reporting a tool after it's been cancelled, because old code lingers. Job postings and case studies are strong evidence but can be dated. Check a random sample of records by hand before a campaign, and only mention a technology in outreach when you've confirmed it.
What is the difference between technographic and firmographic data?
Firmographic data describes what a company is: industry, employee count, revenue, location and ownership. Technographic data describes the technology it uses. Firmographics answer whether a company could be a customer at all; technographics help answer whether it needs your product, can integrate with it or already uses a competitor. Most B2B targeting filters on firmographics first, then narrows with technographics.