RB2B Companies to Contacts

What this skill does

Takes the companies from an RB2B export - both ProfileType = Company rows and the company associated with ProfileType = Person rows - and returns ranked contacts at each one. Prioritises by visit intent signals (page views, recency, tags).

Use this when you want contacts at visiting companies, not just the visitors themselves.

Chain

RB2B CSV
  to extract + deduplicate companies (prioritised by AllTimePageViews / RecentPageCount)
  to search_people  (per company - optional seniority/department/country slice)
  to linkedin_to_business_email     (per-URL parallel calls)
  to linkedin_to_mobile_phone              (batch array, optional)

Inputs

• RB2B CSV export - upload or paste
• Acceptable risk scores - which A-F deliverability grades to keep (recommended: A, B, C and F; D excluded)

Output

Companies processed:  X
Contacts found:       X  (avg X per company)
Business emails:      X/N (XX%)

Email risk scores:
  A: X   B: X   C: X   D: X   F: X
  kept (accepted grades):  X
  filtered (excluded):     X

Search filters

search_people filters on query, company, company_domain, country, state, city, seniority, department or functional_area, industry, linkedin_industry, naics_code, employee_range, and revenue_range.

• Filters are free precision - execution cost comes from the free-text query, so a filters-only search runs ~40x cheaper and lands more precisely. A bare query is never the right shape; at minimum it gets country attached (~99% fill rate).
• Size and revenue apply to the person's current employer - "VPs at 51-200 employee software companies" is one call, not a company search followed by a people search.
• Three industry vocabularies - broad industry buckets, LinkedIn's ~150 niche labels, or a NAICS code at any depth. Shortening the code widens the net.
• Sparse filters are the usual cause of a thin result set - seniority/industry/department are ~60% filled and naics_code/linkedin_industry ~50%, and every filter is exact-match, silently dropping records where the field is empty.
• Sizing is free - count_only: true returns a match count without fetching data or charging tokens, and every response carries results.total to read before paginating.

Tips

• Companies with more page views = higher intent - the skill surfaces the top accounts first
• NewProfile = true = first-time visitor - may be worth prioritising
• For people who visited directly (not just their company), use Enrich RB2B Visitors instead
• Every returned email carries an A-F deliverability risk score; you're asked up front which grades to keep, and out-of-range grades are shown and flagged rather than silently dropped