Reference file

qualification-workflow.md

qualification-workflow-md.md

Qualification Workflow — From Raw List to Campaign-Ready Accounts

Frontal Tier System

Company Tiers (Apply with Clay AI)

Tier Definition Outreach Timing
Tier 1 B2B software companies with 40+ headcount (perfect fit) Immediate, within 30 days
Tier 2 B2B companies that sell digitally but not software (close fit) Secondary, 60-90 day window
Tier 3 Relevant industry but not sweet spot Nurture, 120+ day horizon
Below Tier 3 Not a fit Disqualify

Contact Tiers

Tier Definition Effort Level
Tier 1 C-level, Founders, VPs (decision-makers with budget authority) White-glove personalization
Tier 2 Managers, Seniors (influencers who can champion internally) Solid but scalable sequences
Tier 3 Associates, Coordinators, Specialists (end users) Templated, efficient

Effort Matching Matrix

Company Tier Contact Tier Approach
Tier 1 Tier 1 Deep research, custom angle, multi-channel
Tier 1 Tier 2 Personalized sequence, routing CTA to find decision-maker
Tier 2 Tier 1 Solid personalization, focus on value prop
Tier 2 Tier 2 Segment-level personalization
Tier 3 Any Templated, minimal effort

Clay AI Prompts for Tiering

Company Qualification Prompt

You are qualifying companies for a B2B outbound campaign. Based on the company information provided, assign a tier:

Tier 1: B2B software companies with 40+ headcount that sell to other businesses
Tier 2: B2B companies that sell digitally but are not software companies
Tier 3: Companies in a relevant industry but not our ideal fit

Company: {{Company Name}}
Industry: {{Industry}}
Employee Count: {{Employee Count}}
Description: {{Company Description}}

Return ONLY: "Tier 1", "Tier 2", or "Tier 3" followed by a one-sentence reason.

Contact Qualification Prompt

Based on the following job title, assign a seniority tier:

Tier 1: C-level, VP, Founder, Head of, Director (decision-makers with budget authority)
Tier 2: Manager, Senior (influencers who can champion internally)
Tier 3: Associate, Coordinator, Specialist (end users, not decision-makers)

Title: {{Title}}

Return ONLY: "Tier 1", "Tier 2", or "Tier 3"

Weighted ICP Scoring

Score each company on a 1-10 scale across 6 dimensions:

Dimension Weight What to Score
Industry fit 25% Does their industry match your ICP?
Company size match 20% Employee count within target range?
Revenue/funding alignment 20% Revenue or funding stage match?
Growth signals present 15% Hiring, funding, expansion signals?
Tech stack fit 10% Using relevant/complementary tech?
Geographic fit 10% In target geography?

Tiered Prioritization from Score

Score Tier Action
8-10 Tier 1 Immediate outreach, 2-4 contacts per account
6-7.9 Tier 2 Secondary priority, 1-2 contacts
4-5.9 Tier 3 Nurture sequence only
Below 4 Disqualify Remove from list

4-Step Qualification Workflow

Step 1: Hard Filters (Remove Immediately)

  • Wrong industry/vertical
  • Too small (<20 employees) or too large (>10,000)
  • Wrong geography
  • Agencies, competitors, existing clients/pipeline

Step 2: ICP Scoring

Apply weighted scoring (above) using Clay AI or formula columns.

Step 3: Tiered Prioritization

Assign tiers based on scores. Focus resources on Tier 1 first.

Step 4: Contact Mapping

For Tier 1 accounts, find 2-4 contacts per company:

  • Primary decision-maker (VP/C-level)
  • End user/champion
  • Influencer/internal advocate
  • Fallback: routing CTA to find right person

Real Example — DevOps ICP Scoring

Company Score Tier Rationale Timing
Port (Platform Engineering) 9.5/10 Tier 1 Series B, 150 emp, perfect fit Immediate
CAST AI (K8s cost optimization) 8.8/10 Tier 1 Series B, 200 emp, strong fit Immediate
Teleport (Infrastructure access) 8.2/10 Tier 1 Series C, 350 emp, good fit 30 days
Cortex (Developer portal) 7.8/10 Tier 2 Series B, 120 emp, adjacent fit 60 days
Pulumi (Infrastructure as Code) 7.5/10 Tier 2 Series C, 200 emp, adjacent 60 days

"Good List" Column Template

A campaign-ready list should include these columns:

Company, Domain, Industry, Vertical, Employee Count, Funding Stage,
Funding Amount, Revenue, Contact 1-3 (Name + Title), Tech Stack,
Intent Score, Buying Signals, Trigger Events, Recommended Approach,
Value Prop, Timing Score, Lead Score

Source Comparison (Extended)

Source Best For Coverage Cost
Apollo Volume, broad searches 275M+ contacts $$
Sales Navigator Precision, enterprise High for LinkedIn users $$$
Clay Native Company/people discovery Good Clay credits
Lima Data LinkedIn-powered prospecting High for LinkedIn data API credits
Ocean.io Lookalike companies Moderate Per-search
Store Leads E-commerce/DTC brands E-commerce focused 1 credit
Google Maps (Outscraper) Local businesses Location-based 0 credits (API)

Source Selection by Use Case

  • Broad TAM build (1,000+): Apollo + Sales Nav (combine for coverage)
  • Precision TAL (50-200): Sales Nav filters → Clay enrichment → manual QA
  • Lookalike expansion: Ocean.io from best customers → Clay enrichment
  • E-commerce/DTC: Store Leads + Meta Ads Library scraper
  • Local businesses: Google Maps via Outscraper → Clay enrichment

Rule: Always use multiple sources. Single source = ~60% TAM. Two sources = ~85%.