ideal-customer-profile

SKILL.md

Ideal Customer Profile

Overview

Identify your Ideal Customer Profile (ICP) from research and survey data. This skill synthesizes customer research to define the customer most likely to find value, retain, and expand with your product.

When to Use

Defining ICP from product-market fit survey data

Targeting high-value customer segments

Analyzing customer success and expansion patterns

Prioritizing sales and marketing efforts

Evaluating new customer opportunities for fit

Refining target market definition

ICP Framework Components
Demographics

Who are they from a firmographic and personal perspective?

Company size (employees, revenue)

Industry or vertical

Geographic location

Job title and department

Years of experience in role

Education and background

Organizational structure and reporting

Behaviors

How do they work and make decisions?

How they discover and evaluate solutions

Buying process and decision-making timeline

Technical literacy and product adoption speed

Collaboration style (solo decision vs committee)

Change management and adoption style

Tool switching frequency

Community involvement and peer influence

Jobs to Be Done (JTBD)

What are they trying to accomplish?

Primary job/goal they're trying to achieve

Secondary jobs that support the primary job

Emotional jobs (how they want to feel)

Social jobs (status and perception)

Jobs they avoid or want to eliminate

Frequency and importance of each job

Success metrics for completing job

Needs and Pain Points

What problems does your product solve?

Specific pain points they experience

Current workarounds and limitations

Impact on productivity or outcomes

Cost or time burden of the problem

Emotional frustration levels

Barriers to solving the problem

Available budget to solve

Competing priorities

How It Works

Step 1: Gather Customer Data

Collect research about actual and potential customers:

Product-market fit survey responses

Customer interview transcripts

Trial or freemium user behavior data

Customer feedback and support tickets

Churn analysis and customer lifecycle data

Win/loss analysis from sales

Competitor customer analysis

Step 2: Segment by Value

Identify customer cohorts and their value:

Highest LTV (lifetime value) customers

Fastest time-to-value customers

Lowest churn rate customers

Highest expansion/upsell customers

Most enthusiastic/engaged customers

Best reference/case study potential

Most aligned with product vision

Step 3: Profile Demographics

Extract firmographic patterns:

Common company sizes (employee count, revenue)

Industry verticals and sub-verticals

Geographic concentrations

Typical department and reporting structure

Budget holders and budget available

Company stage (startup, growth, enterprise)

Company culture indicators

Step 4: Identify Behaviors

Map decision-making and adoption patterns:

How they discovered your product (channel)

Evaluation process and timeline

Key stakeholders in decision

Obstacles during sales process

Product adoption speed and breadth

Team involvement in onboarding

Frequency of feature usage

Support and service needs

Step 5: Define JTBD

Articulate what they're trying to accomplish:

Primary job/goal (functional job)

Emotional dimensions (how they want to feel)

Social dimensions (team and stakeholder impact)

Success metrics (how they measure success)

Context and constraints (when, where, with whom)

Competing jobs and priorities

Importance ranking of various jobs

Step 6: Document Pain Points and Needs

Synthesize specific problem areas:

Before state (current situation and frustrations)

Desired after state (ideal future state)

Gap size and impact quantification

Emotional dimensions of the problem

Resource constraints preventing solutions

Skepticism or hesitations

Success criteria for solution

Input Format

Use $ARGUMENTS to pass:

Research data (surveys, interviews, transcripts)

Customer success/metrics data

Product usage analytics

Sales activity and win/loss data

Existing customer database

Competitive intelligence

Output

A comprehensive ICP definition including:

Firmographic profile (company size, industry, location)

Behavioral profile (buying patterns, adoption style)

Complete JTBD mapping (functional, emotional, social jobs)

Top 5-7 pain points and specific needs

Quantified impact metrics (cost of problem, value of solution)

Decision-making process and key stakeholders

Typical customer journey and timeline

Go-to-market implications and messaging

Disqualification criteria (who is NOT a good fit)

High-value segment within ICP (ideal-of-the-ideal)

Framework

Based on Jobs to Be Done theory by Clayton Christensen and customer profiling methodology. Combines behavioral data with motivational insights to define actionable customer profiles.

Tips

Use quantitative and qualitative data together

Interview 10+ high-value customers for pattern identification

Look for non-obvious demographic patterns (outliers can be high-value)

Define both ideal ICP and acceptable secondary segments

Revisit ICP quarterly as you gather more customer data

Use ICP to evaluate all new sales opportunities

Share ICP across entire organization (marketing, sales, product)

Remember: ICP should drive focus, not exclude all others

Further Reading

5 GTM Principles You Should Know as a PM

How to Design a Value Proposition Customers Can't Resist?