Why this cluster matters
Company-level data drives ICP definition, account scoring, and territory planning - but the headline numbers most providers quote (revenue, employee count) are wrong 40% of the time at any given moment. This cluster maps what's actually reliable, what's estimated, and where to source the rest.
For who · ABM Marketers, RevOps, SDR Managers, GTM Strategists
Enrich company data with Derrick →What you'll learn
- Firmographics that hold up : industry, location, founding year, parent company
- Headcount tracking : provider methods compared, accuracy by region
- Revenue estimates : when to trust them, when to red-flag
- Tech stack detection : BuiltWith, Wappalyzer, internal scraping - tradeoffs
- Funding data : Crunchbase, PitchBook, SEC filings - what's free, what's worth paying for
- Company headquarters lookup at scale - the cleanest workflow
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All 4 guides in this cluster
How to Find a Company's Founding Year (5 Methods, 2026)
5 ways to find a B2B company's founding year - sirene, LinkedIn, Crunchbase, Wayback, and the API workflow.
Read the guide → LookupHow to Find Company Headquarters Country: Complete Guide
Find any B2B company's HQ country fast - official registries, LinkedIn, scrapers + the Derrick enrichment shortcut.
Read the guide → LookupCompany Industry Lookup: How to Find Any Business Industry Instantly
Match any company to its industry/NAICS code - APIs, sources, and edge cases that break naive lookups.
Read the guide → ScrapingEmail & Social Extractor Playbook: 3 Sales Moves to Get Both
Pull emails + social profiles from any company website - 3 playbooks (manual, semi-auto, full API workflow).
Read the guide →Finding company-level data (founding year, headquarters, industry, employee count, websites, social profiles) at scale is the boring-but-critical step before every outbound, every ABM list, every territory plan.
This cluster covers the 4 plays that work in 2026 : official registries, LinkedIn, scraping, and the API workflows that combine all three.
Why company data still matters
Most CRMs auto-enrich firmographics. Most are wrong on 30-60% of records. The 30% gap is where ICP fit goes from "match" to "false match" - and where outbound burns budget.
The data points that matter most
- Industry / NAICS / NAF - wrong industry = wrong outreach angle
- Headquarters country - drives compliance (GDPR, CCPA), localization, time zones
- Founding year - proxy for stage, helps qualify "growth-stage" filters
- Employee count - proxy for revenue, budget, decision-maker count
- Website + social profiles - entry points for personalization + intent signals
Browse the guides
Pick the guide that matches the data point you need. Each one breaks down free + paid methods + the Derrick API shortcut when applicable.
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