Contact data tells you who to reach. Company intelligence tells you why to reach them now — and what to say. Learn to enrich at the company level for deeper context.
DE-4 · Data & Enrichment · 125 XP · ~20 min
Most outbound enrichment stops at the contact level: name, title, email. That’s table stakes. The teams running 8%+ reply rates are working at the company level too — understanding funding stage, growth trajectory, tech stack, recent news, and competitive context before the first email goes out.Company intelligence is the context layer that makes personalization feel genuine rather than mechanical.
There are five layers of company intelligence worth enriching. Not every workflow needs all five — but knowing what’s available helps you decide what to invest in.
Layer
Data Points
Sources
Value
Firmographics
Industry, size, revenue, location, founding year
Apollo, ZoomInfo, Clearbit
Targeting and ICP matching
Funding & growth
Total raised, last round, round size, investors
Crunchbase, Harmonic, LinkedIn
Timing signals
Tech stack
Tools they use (CRM, email, analytics, infrastructure)
Given:- Industry: {{company_industry}}- Size: {{company_size_range}}- Revenue: {{company_revenue_range}}- Founded: {{company_founded_year}}Classify this company's ICP fit for a B2B SaaS outbound tool targeting mid-market companies:- strong_fit: SaaS/tech company, 51-500 employees, Series A or later- moderate_fit: tech-adjacent industry, or right size but different vertical- weak_fit: outside target ICP (too large, too small, wrong industry)Return ONLY: strong_fit, moderate_fit, or weak_fit
Company: {{company_name}}Domain: {{company_domain}}Based on publicly available information, provide:1. Funding stage (bootstrapped/pre-seed/seed/series-a/series-b/series-c/growth/public/unknown)2. Last funding round date (approximate, or "unknown")3. Total funding raised (approximate, or "unknown")4. Headcount growth signal: growing/stable/shrinking/unknown (based on recent hiring patterns)Return as JSON: {"funding_stage": "...", "last_round_date": "...", "total_raised": "...", "headcount_trend": "..."}
Timing column based on funding:
Given:- Funding stage: {{funding_stage}}- Last round date: {{last_round_date}}Is this company likely in a budget-active phase right now?- yes: Series A/B/C announced within 6 months, or company is growth stage- maybe: Seed stage (limited budget), or funding round was 12+ months ago- no: bootstrapped with no clear growth signal, or public with procurement cycles- unknown: insufficient dataReturn ONLY: yes, maybe, no, or unknown
Tech stack data is gold for personalization and ICP qualification. A company running Salesforce + Outreach + LinkedIn Sales Navigator is clearly investing in outbound infrastructure — they’re a very different prospect from a company running HubSpot Starter.
Company domain: {{company_domain}}Based on publicly available technographic data, list the key tools this company uses in these categories:- CRM: (e.g., Salesforce, HubSpot, Pipedrive, or unknown)- Sales engagement: (e.g., Outreach, Salesloft, Apollo, or unknown)- Marketing automation: (e.g., Marketo, HubSpot, Pardot, or unknown)- Data/enrichment: (e.g., ZoomInfo, Apollo, Clearbit, or unknown)- Analytics: (e.g., Mixpanel, Amplitude, Heap, or unknown)Return as JSON with each category as a key. Use "unknown" if data is not available.
ICP qualification using tech stack:
Given tech stack:- CRM: {{crm_tool}}- Sales engagement: {{sales_tool}}- Data/enrichment: {{data_tool}}Does this company have a mature outbound motion that could benefit from GTM automation?- mature: Has dedicated sales engagement + enrichment tool- developing: Has CRM but limited sales engagement tooling- early: Basic tools only or unknown- no_fit: Uses tools that indicate inbound-only or non-sales motionReturn ONLY: mature, developing, early, or no_fit
This is where timing signals live. A company that just posted 5 SDR jobs is likely buying outbound tooling. A company that just raised a Series B is spending.
Company: {{company_name}}Domain: {{company_domain}}Search for recent activity (last 90 days) in these categories:1. Hiring signals: Are they hiring for sales/marketing/growth roles? How many?2. Funding: Any recent funding announcements?3. Product news: New product launches, partnerships, or major announcements?4. Executive changes: New CRO, VP Sales, CMO, or Head of Growth?5. Press: Any notable coverage or news?Summarize in 2-3 sentences. Focus on signals relevant to outbound/sales infrastructure buying decisions. If nothing notable, return "no significant recent activity found."
The real value of company intelligence is at the copy layer. Here’s how to connect enriched company context to the SVC framework from OA-3:
Use the following company intelligence to write a personalized Signal-Value-Close cold email:Prospect: {{first_name}} {{last_name}}, {{job_title}} at {{company_name}}Signal: {{recent_activity_summary}}Tech stack maturity: {{tech_stack_maturity}}Funding stage: {{funding_stage}}Company size: {{company_size_range}}Instructions:- The SIGNAL sentence should reference the specific recent activity- The VALUE sentence should connect their current stage/context to the outcome Bitscale delivers- The CLOSE should be a specific 15-minute ask, personalized to their role- Max 80 words totalReturn ONLY the email body.
Quick Check: Name the five layers of company intelligence. What does tech stack maturity tell you about a prospect? How does funding stage affect timing signals?
