Technographic data examples
Technographic data examples are the concrete technology data points attached to a company, such as the analytics suite, hosting provider, ecommerce platform, CRM, or payment processor it uses.
Also called: examples of technographic data.
Key points
- Data points span analytics, hosting, ecommerce, CMS, CRM, payments, and security.
- Each category maps to a specific public detection signal - script tags, headers, DNS, or known API hosts.
- Private internal tools that never resolve publicly never appear in a record.
- You can reproduce real examples with a free domain scan, ideally with a last-detected date.
Examples by category
Technographic data points are easiest to read as a table of category, an example technology, and the public signal it is detected from:
| Category | Example technologies | Detection signal | | --- | --- | --- | | Front-end framework | React, Vue, Svelte | Script tags and JS globals | | Analytics and tags | GA4, Segment, Mixpanel | Tracking script hosts and tag-manager calls | | Hosting and CDN | AWS, Vercel, Cloudflare | Response headers, DNS and CNAME patterns | | Ecommerce platform | Shopify, Magento | Platform script paths and markup signatures | | CMS | WordPress, Webflow | Generator meta tags and asset paths | | CRM and marketing | HubSpot, Salesforce | Embedded form and chat-widget hosts | | Payments | Stripe, Adyen | Checkout SDK script hosts | | Security | HSTS, WAF signatures | Response headers and challenge pages |
No single signal catches everything, so detectors blend several. A tool that resolves only on private internal infrastructure cannot be seen from the outside, so it never appears in a technographic record no matter how widely it is used inside the company.
What a real scan returns
A live scan of a domain surfaces a concrete profile rather than a generic list. Scan a payments company and you typically see its front-end frameworks, its cloud and CDN providers, and sometimes the conspicuous absence of third-party analytics - itself a data point. The shape is always the same: detected technologies grouped by category, ideally each carrying a last-detected date so a live detection is distinguishable from a stale one.
This is the difference between an example list and a record. The categories above are what to expect; the actual values, and which categories come back empty, are specific to each domain and are what you reproduce by running it through the free JobsPipe /stack lookup.
FAQ
What does a technographic profile look like?+
A list of detected technologies grouped by category for a domain, ideally with a last-detected date. Run any domain through the free JobsPipe /stack lookup to see a live example across common web technology categories.
How is each technographic data point detected?+
From a public signal on the website: a script tag or JS global, a response header, a DNS or CNAME pattern, or a call to a known third-party API host. Different categories rely on different signals - hosting shows up in headers and DNS, analytics in tracking-script hosts, payments in checkout SDK hosts - and detectors combine several because none catches everything.
Why are some technologies missing from a technographic record?+
Because they leave no public trace. Anything that runs only on private internal infrastructure and never resolves on the public website cannot be fingerprinted from the outside, so it is absent from any provider's record regardless of how heavily the company uses it. Technographic data captures the publicly observable stack, not the full internal one.
JobsPipe is the jobs-data API behind this glossary - 30+ sources, one schema, 5,000 requests/month free.
Get a free API keyRelated