icp-matrix-builder

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Build comprehensive Ideal Customer Profile matrices that define exactly who to target. Tiering frameworks, scoring models, and segmentation strategies for precision outbound.

kenny589 By kenny589 schedule Updated 2/16/2026

name: icp-matrix-builder description: "Build comprehensive Ideal Customer Profile matrices that define exactly who to target. Tiering frameworks, scoring models, and segmentation strategies for precision outbound."

ICP Matrix Builder

When to Use

  • Launching outbound for a new company or product line
  • Refining targeting after initial campaign data comes in
  • Expanding into new verticals or market segments
  • Building the foundation for any lead generation or ABM campaign

Framework

What an ICP Matrix Is (And Isn't)

An ICP Matrix is a structured scoring document that ranks and segments your ideal buyers across multiple dimensions. It's the bridge between "we sell to B2B companies" and "we target Series B SaaS companies with 100-500 employees who just hired their first VP of Sales."

It IS:

  • A living document that evolves with campaign data
  • A scoring framework that makes targeting decisions objective
  • A segmentation tool that enables personalized outreach at scale

It is NOT:

  • A one-time exercise you do during onboarding and forget
  • A single persona description
  • A firmographic filter (company size + industry alone is not an ICP)

The 5 Dimensions of an ICP Matrix

Every complete ICP Matrix scores prospects across five dimensions:

Dimension 1: Firmographic Fit

Does the company match your ideal customer profile structurally?

Attribute Tier 1 (Best) Tier 2 (Good) Tier 3 (Acceptable) Disqualified
Company size Define range Define range Define range Too small/large
Revenue Define range Define range Define range Outside range
Industry Primary verticals Adjacent verticals Emerging fit No fit
Geography Primary markets Secondary markets Expansion markets Restricted
Business model Exact match Similar Adaptable Incompatible
Growth stage Ideal stage Adjacent stages Possible fit Wrong stage

How to fill this in:

  1. Start with your best 10 customers — what do they have in common?
  2. Look at your worst 10 customers — what disqualified them (in hindsight)?
  3. The patterns that appear in your best but NOT your worst = your Tier 1 criteria

Dimension 2: Technographic Fit

Does their tech stack indicate they're a good fit?

Attribute Signal Strength Why It Matters
Uses your integration partners Strong Lower friction to adopt
Uses a competitor Strong Active buyer, proven budget
Tech stack complexity matches Medium Right sophistication level
Recently adopted adjacent tools Medium Active buying cycle
No relevant tech stack Weak May not understand the category

Dimension 3: Buying Intent Signals

Is this company likely to be in-market right now?

Signal Intent Level Scoring Weight
Hiring for the role your product serves Very High 5x
Recent funding round High 4x
Competitor evaluation (G2, review sites) Very High 5x
Content consumption (webinars, guides) Medium-High 3x
Website visits (if tracking available) High 4x
Leadership change in relevant dept Medium 2x
No detectable intent Low 1x

Dimension 4: Persona Mapping

Who within the company should you target?

For each ICP tier, define 2-3 target personas:

Persona Attribute What to Define
Title patterns VP Sales, Director of Revenue, Head of Growth (include variants)
Department Sales, Marketing, RevOps, Growth
Seniority level C-Suite, VP, Director, Manager
Decision role Economic buyer, Champion, Influencer, Blocker
Pain points 3-5 specific, measurable pains this persona faces
Buying triggers What events push them to evaluate solutions
Success metrics What KPIs they're measured on
Common objections Top 3-5 reasons they say no

Dimension 5: Engagement Readiness

How likely is this company to respond to outbound?

Factor High Readiness Low Readiness
Previous interactions Engaged before (event, content, trial) Cold — no prior touchpoint
Outbound receptiveness SMB/mid-market, growth-stage Enterprise, heavily gatekept
Channel preference Active on LinkedIn, responsive to email Dark social, unreachable online
Sales cycle length < 60 days 6+ months
Committee size 1-3 decision makers 5+ stakeholders

The Tiering Framework

After scoring all five dimensions, segment accounts into tiers:

Tier Criteria Outreach Strategy Volume
Tier 1: Bullseye 4-5 dimensions score "Strong" Hyper-personalized, multi-channel, 8+ touches 5-10% of list
Tier 2: Strong Fit 3-4 dimensions score "Strong" Signal-based personalization, email-first 20-30% of list
Tier 3: Good Fit 2-3 dimensions score "Strong" Bucket personalization, email-only 40-50% of list
Tier 4: Stretch 1-2 dimensions score "Strong" Test with small batch, generic angle 10-20% of list
Disqualified 0 dimensions score "Strong" OR has a DQ flag Do not contact Remove from list

Disqualification triggers (immediate removal regardless of other scores):

  • Company too small to have budget
  • Industry you can't serve
  • Already a customer
  • Competitor or partner (unless intentional)
  • Bad data (no valid email, wrong person)

Building the Matrix: 6-Step Process

Step 1: Analyze Your Best Customers

Pull your top 10-20 customers by: revenue, retention, NPS, speed-to-close, or expansion rate.

For each, document:

  • Firmographics (size, revenue, industry, geo)
  • What triggered them to buy
  • Who the champion was (title, seniority)
  • How long the sales cycle took
  • What their tech stack looked like at purchase

Step 2: Analyze Your Worst Customers

Pull 10-20 churned or low-value customers. Document the same attributes.

The gap between best and worst = your ICP definition.

Step 3: Identify Scoring Patterns

Look for attributes that appear in 70%+ of your best customers but less than 30% of your worst:

Best Customers Pattern Analysis:
- 80% were Series A-B stage → Weight: High
- 75% had 50-200 employees → Weight: High
- 70% were hiring SDRs when they bought → Weight: Very High
- 60% were in B2B SaaS → Weight: Medium-High
- 50% had a VP Sales title as buyer → Weight: Medium

Step 4: Build the Scoring Model

Assign point values to each attribute:

Dimension Attribute Tier 1 Points Tier 2 Points Tier 3 Points
Firmographic 50-200 employees 10 5 2
Firmographic B2B SaaS 8 4 2
Technographic Uses Salesforce 6 3 1
Intent Hiring SDRs 10 5 2
Intent Recent funding 8 4 2
Persona VP Sales title 6 3 1

Total possible: Sum of all Tier 1 points Tier thresholds: Tier 1 = 80%+, Tier 2 = 60-79%, Tier 3 = 40-59%, Below 40% = DQ

Step 5: Validate with Campaign Data

After running your first campaigns, compare:

  • Positive reply rate by ICP tier
  • Meeting rate by ICP tier
  • Close rate by ICP tier

If Tier 2 accounts are outperforming Tier 1, your scoring model needs adjustment. The data will tell you which attributes actually predict buying behavior vs. which ones you assumed would.

Step 6: Iterate Quarterly

Every quarter, re-run the analysis:

  • Which attributes correlated with closed deals?
  • Which new signals appeared in your best customers?
  • Has your product evolved to serve a different segment better?

Update the matrix. Adjust scoring weights. Re-tier your target accounts.


Multiple ICP Segments

Most companies have 2-4 distinct ICP segments. Each needs its own matrix:

ICP Segment Map:
├── Segment A: "Growth-Stage SaaS" (Primary)
│   ├── Company: 50-500 employees, Series A-C, B2B SaaS
│   ├── Buyer: VP Sales / Head of Growth
│   └── Trigger: Hiring SDRs or scaling outbound
│
├── Segment B: "Agency Scaling" (Secondary)
│   ├── Company: 10-50 employees, digital agency, $2M-$10M revenue
│   ├── Buyer: Founder / CEO
│   └── Trigger: Hit referral ceiling, need predictable pipeline
│
└── Segment C: "Enterprise RevOps" (Emerging)
    ├── Company: 500-5000 employees, tech or professional services
    ├── Buyer: Director of RevOps / VP Sales Operations
    └── Trigger: Tech consolidation or efficiency mandate

Rule: Each segment gets its own campaigns, its own copy, and its own personalization strategy. Never blend segments in a single campaign.

Templates

ICP Matrix Template

# ICP Matrix: {{Company/Product Name}}
# Version: {{version}} | Last Updated: {{date}}

## Segment: {{segment_name}}

### Firmographic Profile
| Attribute | Tier 1 | Tier 2 | Tier 3 | DQ |
|-----------|--------|--------|--------|----|
| Company size | ___ | ___ | ___ | ___ |
| Revenue | ___ | ___ | ___ | ___ |
| Industry | ___ | ___ | ___ | ___ |
| Geography | ___ | ___ | ___ | ___ |
| Business model | ___ | ___ | ___ | ___ |
| Growth stage | ___ | ___ | ___ | ___ |

### Target Personas (Ranked by Priority)
| Rank | Title Pattern | Seniority | Decision Role | Key Pain |
|------|--------------|-----------|---------------|----------|
| P1 | ___ | ___ | ___ | ___ |
| P2 | ___ | ___ | ___ | ___ |
| P3 | ___ | ___ | ___ | ___ |

### Intent Signals (Ranked by Weight)
| Signal | Weight (1-5) | Detection Source |
|--------|-------------|-----------------|
| ___ | ___ | ___ |
| ___ | ___ | ___ |
| ___ | ___ | ___ |

### Scoring Thresholds
| Tier | Min Score | Outreach Strategy |
|------|-----------|-------------------|
| Tier 1 | ___ | ___ |
| Tier 2 | ___ | ___ |
| Tier 3 | ___ | ___ |
| DQ | Below ___ | Do not contact |

### Validation Metrics (Update Quarterly)
| Metric | Tier 1 | Tier 2 | Tier 3 |
|--------|--------|--------|--------|
| Positive reply rate | ___ | ___ | ___ |
| Meeting rate | ___ | ___ | ___ |
| Close rate | ___ | ___ | ___ |
| Avg deal size | ___ | ___ | ___ |

Tips

  • Your ICP is not who you CAN sell to — it's who you SHOULD sell to. The narrower your ICP, the higher your conversion rates.
  • Start with 1 segment, not 4. Validate one ICP completely before expanding to adjacent segments.
  • The #1 mistake in ICP development: using only firmographic data. A 100-person SaaS company that just raised Series B and is hiring 5 SDRs is a completely different prospect than a 100-person SaaS company that's been flat for 3 years. Same firmographics, wildly different intent.
  • Interview your sales team. They know which deals close fast and which are painful — that pattern recognition is your ICP definition.
  • If you don't have 10 customers to analyze yet, start with competitor customer analysis. Who are THEIR best customers? That's your starting ICP.
  • Update your matrix every time you close (or lose) a significant deal. What did you learn? Did it match your scoring model?

Progressive disclosure: load industry-specific ICP templates and scoring benchmarks only when building a matrix for a specific vertical.

Install via CLI
npx skills add https://github.com/kenny589/gtm-flywheel --skill icp-matrix-builder
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