Reference file

sales-navigator-guide.md

sales-navigator-guide-md.md

LinkedIn Sales Navigator & ICP Framework Guide

Sales Navigator Advanced Search

Lead Filters

Filter Description Plan Required
Keywords Searches across profile text Core
First/Last Name Direct name search Core
Title (Boolean) Current job title with boolean operators Core
Company Current employer Core
Company Headcount Employee range (1-10 to 10,001+) Core
Seniority Level CXO, VP, Director, Manager, etc. Core
Function Sales, Marketing, Engineering, etc. Core
Geography Region, country, city, metro area Core
Industry 413 industry options Core
Years in Current Position Less than 1, 1-2, 3-5, etc. Core
Years at Current Company Same ranges Core
Changed Jobs Past 90 days Core
Posted on LinkedIn Past 30 days Core
Company Revenue Revenue ranges Advanced+
Technologies Used 35,000+ technologies Advanced+
Buyer Intent LinkedIn intent signals Advanced+
Company Headcount Growth Growth percentage ranges Advanced+

Account Filters

Filter Description
Company Headcount Employee range
Revenue Annual revenue range
Industry Industry vertical
HQ Location Headquarters location
Technologies Used Tech stack (35K+ options)
Headcount Growth Company growth signals
Job Opportunities Companies actively hiring
Recent Activities Company posts, news

Boolean Search

Operators

Operator Syntax Example What It Does
AND AND VP AND Marketing Both terms must match
OR OR CEO OR "Chief Executive" Either term matches
NOT NOT VP NOT assistant Excludes term
Quotes "exact phrase" "Vice President" Exact phrase match
Parentheses (group) (CEO OR CTO) AND SaaS Group operations

Limitations:

  • Boolean works in Title, Company, and Keywords fields
  • Does NOT work in Industry, Geography, or dropdown filters
  • No wildcard (*) support (unlike Recruiter)
  • Max ~1,000 characters per boolean string
  • Nested parentheses work 2-3 levels deep

Boolean Formulas by ICP

SaaS Decision Makers

Title: (VP OR "Vice President" OR Director OR Head OR Chief) AND (Marketing OR "Demand Gen" OR "Growth" OR "Digital")
Company Keywords: (SaaS OR "B2B software" OR "cloud-based" OR "subscription")
Seniority: VP, Director, CXO
Industry: Computer Software, Internet, IT & Services
Headcount: 51-500

C-Suite Targeting

Title: (CEO OR "Chief Executive Officer" OR Founder OR "Co-Founder" OR "Managing Director" OR President OR Owner)
NOT: (assistant OR intern OR student OR "job seeking")

VP of Sales at Mid-Market Tech

Title: ("VP Sales" OR "Vice President Sales" OR "VP of Sales" OR "Head of Sales" OR CRO OR "SVP Sales")
Industry: Computer Software, Internet, SaaS
Headcount: 201-1000

HR / People Decision Makers

Title: (CHRO OR "Chief People Officer" OR "VP HR" OR "Head of People" OR "Head of HR" OR "Director of Talent")
NOT: (recruiter OR coordinator OR assistant OR intern OR generalist)

IT Decision Makers

Title: (CTO OR CIO OR CISO OR "VP Engineering" OR "VP IT" OR "Head of Engineering" OR "Director of IT")
NOT: (intern OR junior OR associate OR student)

Startup Founders (Seed to Series B)

Title: (Founder OR "Co-Founder" OR CEO OR "Chief Executive")
Company keywords: (seed OR "series A" OR "series B" OR startup OR "early stage")
Headcount: 1-200
Changed jobs in past 90 days: Yes

Multi-Role Targeting (Buying Committee)

Search 1 (Economic Buyer): CEO OR CFO OR "VP Finance"
Search 2 (Champion): "Head of Marketing" OR "Marketing Director" OR "VP Marketing"
Search 3 (User): "Marketing Manager" OR "Digital Marketing" OR "Demand Gen Manager"
Search 4 (Blocker): "General Counsel" OR "Head of Legal" OR "Compliance"

Exclude False Positives

Title: (Director OR VP OR Head) AND Marketing NOT ("Account Director" OR "Art Director" OR "Creative Director" OR assistant OR associate)

ICP Framework

Firmographic Criteria (Company-Level)

Criterion Description Sales Nav Filter
Industry Primary vertical Industry filter
Company size Employee count Headcount filter
Revenue Annual revenue Revenue (Advanced+)
Geography HQ location HQ location
Growth rate Headcount growth % Growth filter
Funding stage Seed to IPO Keywords + external

Technographic Criteria

Criterion Source
Tech stack Sales Nav Tech filter (35K+), BuiltWith, Wappalyzer
CRM Sales Nav Tech filter
Marketing automation Sales Nav Tech filter
Competitive tools Sales Nav Tech filter + intent data

Behavioral/Intent Criteria

Signal Source
Job postings Sales Nav "Job Opportunities" filter
Funding events Crunchbase, Sales Nav alerts
Leadership changes Sales Nav "Changed jobs" filter
Content engagement Sales Nav Buyer Intent, Bombora
Web visits 6sense, Clearbit Reveal, Leadfeeder

ICP Scoring (Tier System)

Tier A (90-100 pts) — "Perfect Fit"

  • ALL firmographic match, complementary tech, active intent, has budget
  • Action: Maximum resources, multi-threaded outreach, ABM campaigns

Tier B (70-89 pts) — "Strong Fit"

  • Most firmographic match, partial tech match, some intent
  • Action: Targeted outreach, personalized sequences

Tier C (50-69 pts) — "Moderate Fit"

  • Some firmographic match, limited tech data, no clear intent
  • Action: Automated nurture, content marketing

Tier D (<50 pts) — "Poor Fit"

  • Significant mismatches
  • Action: Exclude from outreach, inbound-only

Scoring Matrix

Criterion Weight Scoring
Industry match 20 pts Exact = 20, Adjacent = 10, None = 0
Company size 15 pts Sweet spot = 15, Adjacent = 8, Outside = 0
Revenue range 15 pts Sweet spot = 15, Adjacent = 8, Unknown = 0
Geography 10 pts Primary = 10, Secondary = 5, Other = 0
Technology fit 15 pts Complement = 15, Neutral = 8, Competitor = 5
Growth signals 10 pts High = 10, Moderate = 5, Stagnant = 0
Intent signals 15 pts Strong = 15, Some = 8, None = 0
Total 100 pts

List Building Best Practices

Bypassing the 2,500 Result Limit

Sales Navigator shows max 2,500 results per search. Bypass strategies:

  1. Geographic Segmentation — Split by state/city
  2. Industry Segmentation — Same title across different industries
  3. Company Size — Break 51-500 into 51-200 and 201-500
  4. Seniority Stacking — Separate searches per role level
  5. First Name Split — Filter A-F, G-L, M-R, S-Z
  6. Time Filters — "Changed jobs in 90 days", "Years in position"

List Segmentation

  1. By buying stage: Cold, Warm, Hot
  2. By persona: One list per buyer persona
  3. By intent level: High/Medium/Low
  4. By timezone: For cadence timing
  5. Keep lists under 1,000 for personalization
  6. Naming: [Tier]-[Persona]-[Vertical]-[Geo]-[Date]

Export & Scraping Tools

Tool Comparison

Tool Type Price Risk Level Best For
Evaboot Chrome extension $29-99/mo Medium Clean, verified data
PhantomBuster Cloud automation $69-439/mo Higher Multi-step workflows
Captain Data Cloud extraction $399/mo Medium-High Agencies, repeatable flows
Clay Enrichment platform $149-800/mo Low Waterfall enrichment
Apollo.io Sales intelligence Free-$119/mo Low Own database, not scraping
Linked Helper Desktop app $15-45/mo Medium Budget automation

Recommended Workflow

1. BUILD LIST in Sales Navigator
   - Advanced filters + boolean
   - Segment to stay under 2,500 per search
   - Save to organized lists

2. EXPORT with Evaboot (or CRM sync)
   - Extract: Name, Title, Company, LinkedIn URL, Location
   - Auto-clean titles, filter false positives

3. ENRICH with Clay or Apollo
   - Waterfall email finding (multiple providers)
   - Phone number enrichment
   - Company data (revenue, tech stack)

4. VERIFY with ZeroBounce or NeverBounce
   - Run all emails through verification
   - Remove invalid, flag catch-all
   - Target: 95%+ valid rate

5. SEGMENT for outreach
   - Tier A/B/C based on ICP score
   - Personalization variables from enrichment
   - Route to appropriate cadence

6. MAINTAIN
   - Re-verify before each campaign
   - Quarterly full refresh
   - Monitor bounce rates in real-time

ABM List Building

Target Account List

  • Tier 1 (1:1 ABM): 10-50 accounts, fully custom
  • Tier 2 (1:Few): 50-200 accounts, segment-based
  • Tier 3 (1:Many): 200-1,000 accounts, programmatic

Contact Mapping Per Account

Role Typical Title Purpose
Economic Buyer CEO, CFO, VP Final budget approval
Champion Director, Head of Internal advocate
Technical Evaluator Manager, Architect Evaluates technical fit
End User Analyst, Specialist Daily user
Blocker Legal, Compliance Can slow/stop deal
Coach Any level Provides inside info

Intent Data Layering

First-party: Website visits, content downloads, webinar attendance, pricing page views Second-party: G2 Buyer Intent, TrustRadius, Capterra Third-party: Bombora, 6sense, ZoomInfo Intent, TechTarget LinkedIn-native: Buyer Intent signals, ad engagement, page followers

Lookalike Building

  1. Export top 10-20 customers (by revenue, LTV, NPS)
  2. Analyze common attributes (industry, size, geography, tech stack)
  3. Build lookalike search in Sales Navigator
  4. Use "Similar Companies" feature on company pages
  5. External tools: Ocean.io, Clearbit, Apollo.io, Clay