Purpose

This recipe produces a scored Ideal Customer Profile (ICP) document with explicit qualification criteria, disqualification criteria, and a weighted scoring rubric. For B2B, the ICP defines company-level firmographic, technographic, and behavioral attributes. For B2C, it defines individual-level demographic, psychographic, and behavioral attributes. The output enables precision targeting of the 20% of prospects most likely to convert and retain.

Prerequisites

Customer data with revenue metrics — minimum 10 customers with deal size, LTV, and churn status
Buyer persona profiles — from Buyer Persona Development
CRM access — or spreadsheet export of customer records
Win/loss data — at least 10 wins and 5 losses
Spreadsheet tool — Google Sheets or Excel

Constraints

ICP must be built from actual customer data, not aspirational targets [src1]
B2B ICPs require firmographic + technographic + behavioral criteria [src3]
Disqualification criteria are as important as qualification [src5]
Review quarterly against win/loss data [src4]

Tool Selection Decision

Path	Tools	Cost	Time	ICP Precision
A: Hypothesis	LinkedIn, competitor case studies	$0	3-5 days	Low
B: Manual Analysis	Spreadsheet, manual research	$0	1-2 weeks	Moderate
C: Data-Driven	CRM + Clearbit/ZoomInfo	$99-499/mo	1-2 weeks	High
D: Predictive	CRM + enrichment + ML scoring	$500+/mo	2-4 weeks	Very High

Execution Flow

Step 1: Analyze Best Customers

Duration: 2-4 hours | Tool: CRM + spreadsheet

Export customer list and identify top 20% by value. Collect firmographic, technographic, and behavioral attributes for each.

Step 2: Identify Common Patterns

Duration: 2-4 hours | Tool: Spreadsheet

Calculate mode values and concentration ratios for each attribute. Mark attributes with > 60% concentration as strong ICP signals.

Step 3: Define Disqualification Criteria

Duration: 1-2 hours | Tool: Spreadsheet + CRM

Analyze bottom 20% customers and lost deals to identify hard and soft disqualifiers with data backing.

Step 4: Build the ICP Scoring Model

Duration: 2-3 hours | Tool: Spreadsheet

Create a weighted scoring model with tier definitions (Tier 1: 80+, Tier 2: 60-79, Tier 3: 40-59, Tier 4: below 40).

Step 5: Validate and Document

Duration: 2-4 hours | Tool: Document editor

Test scoring model against 20 known outcomes. Target > 80% accuracy on historical data.

Quality Benchmarks

Metric	Minimum	Good	Excellent
Customers analyzed	>= 10	>= 25	>= 50
Qualification criteria	>= 4	>= 6	>= 8
Disqualification criteria	>= 2	>= 4	>= 6
Validation accuracy	> 70%	> 80%	> 90%

Error Handling

Error	Cause	Recovery
All customers look the same	Firmographics not differentiating	Pivot to behavioral or technographic criteria
Scoring model gives high scores to churned	Wrong attributes weighted	Add churn predictors as negative factors
Sales team ignores ICP	Model too complex	Simplify to 3 must-have criteria
ICP too narrow	Over-fitted to current base	Widen criteria ranges by 1.5x

Cost Breakdown

Component	Free	Paid	At Scale
CRM export	HubSpot Free ($0)	Salesforce ($75/mo)	Enterprise ($150+/mo)
Enrichment	LinkedIn manual ($0)	Clearbit ($99/mo)	ZoomInfo ($500+/mo)
Scoring	Spreadsheet ($0)	HubSpot ($45/mo)	Madkudu ($500+/mo)
Total	$0	$200-400/mo	$2000+/mo

Anti-Patterns

Wrong: Building ICP from Aspirational Targets

Defining ICP as "Fortune 500 enterprises" when largest customer has 200 employees. [src1]

Correct: Build from Best-Customer Analysis

Start with who actually buys, retains, and expands.

Wrong: ICP Without Disqualification Criteria

Without disqualifiers, sales wastes 30-40% capacity on bad-fit prospects. [src5]

Correct: Equal Weight to Disqualification

For every qualification criterion, define at least one corresponding disqualifier.

When This Matters

Use this recipe when you need to focus go-to-market resources on highest-probability prospects. Critical for scaling beyond founder-led sales into repeatable, team-driven acquisition.

Ideal Customer Profile Framework