technographic-signalslisted

# Technographic Signals If your product integrates with, replaces or complements a specific tool, knowing which companies run it turns a broad market into a qualified list. It's also one of the few filters that's genuinely predictive rather than merely descriptive. The catch is accuracy. Detection methods vary from reliable to guesswork, and a list built on bad detection produces emails that confidently name the wrong tool — which is worse than not mentioning a tool at all. ## Detection methods, by reliability | Method | Reliability | What it finds | |---|---|---| | **Job posts naming tools** | Very high | The company stating its own stack | | **Public integration directories** | Very high | Confirmed customers of a platform | | **Case studies and logos** | Very high | Named, confirmed customers | | **Review site profiles** | High | Verified users, with opinions | | **DNS and MX records** | High | Email, hosting, CDN, security | | **Client-side script detection** | Medium-high | Analytics, chat, tags, front-end tools | | **HTTP headers and cookies** | Medium-high | Server, CDN, CMS, session tools | | **Careers or docs page mentions** | High | Internal tooling | | **Aggregated technographic vendors** | Medium | Broad coverage, dated and often stale | | **Inference from company profile** | Low | Guesswork. Don't cite it in an email | **Job posts are the most reliable source and the most overlooked.** A job description listing "Salesforce, Outreach, Gong required" is the co