Tech stack data (also called technographic data) reveals the specific software tools and technologies a company uses: their CRM, marketing automation, analytics platform, customer support tool, e-commerce platform, cloud infrastructure, and more. It's collected through website scanning, job posting analysis, integration marketplace data, and other signals. Tech stack data tells you what a company has already bought, which predicts what they might buy next.
Why It Matters
Knowing what tools a prospect uses transforms your sales conversation. If they use your competitor, you pitch displacement. If they use a complementary tool, you pitch integration. If they use nothing in your category, you pitch adoption. Tech stack data also predicts budget: a company paying for Salesforce Enterprise can probably afford your product. A company on a free CRM probably can't. Without this data, every conversation starts from zero.
How Tech Stack Data Is Collected
- Website scanning: Detect JavaScript libraries, tracking pixels, meta tags, and CDN signatures on company websites
- Job posting analysis: Required skills and tools listed in job postings reveal what technologies the company uses internally
- DNS and email analysis: MX records, SPF records, and email headers reveal email platforms and security tools
- Integration marketplace: Public app marketplace listings show which integrations a company has activated
- Self-reported data: G2, Capterra, and similar review sites where companies list their tech stack
Example
A sales team selling a Salesforce integration filters their target market by 'uses Salesforce' and discovers 12,000 companies in their ICP. They further filter by 'does not use a competitor product' and get 4,500 companies. They then filter by 'hired a Salesforce admin in the last 6 months' and get 800 high-intent targets. Each filter narrows to a more relevant, ready-to-buy audience.
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