ICP Definer

An ICP describes the customer who gets the most value, fastest, with the lowest support cost, and stays longest. It is data-driven, not aspirational. Written ICPs that read like marketing personas ("Marketing Mary, 32, loves coffee") fail — they describe the human, not the buying conditions.

When to use

Pre-Series A / pre-PMF: too many segments, can't pick
Post-PMF: tightening for efficient growth
Diagnosing rising CAC, falling LTV, or support overload
Multi-audience product (internal users vs external SaaS buyers) — produce separate ICPs per audience
Entering a new market where existing ICP may not transfer

When NOT to use

You have fewer than 10 paying customers — the data is too thin; use qualitative hypothesis docs instead
You haven't shipped yet — no customers means no ICP data; use a target-customer hypothesis with an explicit review date
You're trying to justify a segment you've already decided to target — this process surfaces truth, not confirmation
The goal is messaging polish, not targeting discipline — use positioning-canvas instead

Use this instead

positioning-canvas — once ICP is locked, use this to build the messaging that speaks to those buyers; ICP feeds positioning step 4
audience-builder — for sourcing and scoring outbound lists against a defined ICP
gtm-motion-picker — use this if the question is "which go-to-market motion fits our ICP" rather than "who is our ICP"

Required inputs

Ask the user for these before running. If missing, name what's missing in the artifact.

Customer list — paying customers with: company, plan/MRR, signup date, activation date, churn date (if churned), support ticket volume, NPS/CSAT if available
Top 10 healthiest accounts — the user's gut pick (cross-check against data later)
Top 5 worst-fit accounts — high support, low usage, churned, refund requests
Lost-deal notes if available — common reasons prospects didn't buy
Win-call recordings or notes if available — exact words customers use

If the user has fewer than 20 paying customers, mark the ICP provisional — the data is too thin for statistical confidence.

The 6-dimension framework

Each dimension answers a different sales/marketing question.

1. Firmographics (who they are)

Industry / sub-industry
Company size (employees, revenue, or whatever predicts best)
Geography (only if it predicts — not by default)
Tech stack signals (e.g., "uses HubSpot", "has a product team")
Stage / maturity (seed vs Series B vs public — affects buying process)

Rule: only include a dimension if your healthiest cohort clusters on it AND your worst cohort doesn't. Otherwise it's noise.

2. Trigger events (when they buy)

What changed that made the problem urgent? Examples:

New VP of Sales hired (new playbook)
Just raised a round (now has budget)
Lost a major customer (panic on retention)
Compliance deadline (forced timeline)
Outgrew a tool (Excel breaking, current vendor missing a feature)

If no triggers are identifiable, the product is probably a "vitamin not painkiller" — flag this.

3. Jobs-to-be-Done (why they hire the product)

Use Christensen's JTBD form:

When [situation], I want to [motivation], so I can [expected outcome].

Pull exact phrases from win-call recordings if possible. Customer's words > marketing language.

4. Disqualifiers (who this is NOT for)

The most under-done part of most ICPs. Name segments that look adjacent but aren't:

Companies below/above a size threshold
Industries with regulatory friction the product can't handle
Buying processes too complex for current sales motion
Use cases the product handles poorly

A good ICP doc has at least 3 explicit disqualifiers.

5. Buying signals (how to find them)

Externally-visible signals that correlate with fit — these power outbound:

Job postings (e.g., "hiring SDRs" → ready for an outbound tool)
Funding announcements
Tech stack via BuiltWith / Wappalyzer
LinkedIn activity / podcast appearances
Public product changes

6. Buyer / champion / user (who matters in the deal)

Economic buyer: who signs the check
Champion: who advocates internally
End user: who actually uses it

These are often three different people. Messaging must address each.

Process

Pull the data. Get the customer list with metrics. Read CSV/sheet if supplied.
Rank accounts by composite health. Default formula: (MRR × tenure_months × NPS_score) / (support_tickets + 1). Tune with user.
Compare top quartile vs bottom quartile across each firmographic dimension. Note where they diverge — those are your ICP signals.
Run JTBD interviews if the user has time — 5 wins, 5 losses, 5 churns. If not, extract from existing call notes / support tickets.
Draft the ICP in the output format below.
Stress-test: pick 3 of the user's "best gut accounts" and 3 "worst gut accounts" — does the ICP correctly predict them? If not, dimensions are wrong.
Score new prospects: provide a simple 0-10 scoring rubric for inbound/outbound lists.

Output format

ICP: [Product] — [Audience version if multi]
Date: [YYYY-MM-DD]
Confidence: [Strong / Moderate / Provisional]

1. ONE-LINER
   [Company type] in [stage/situation] who [JTBD] when [trigger event].

2. FIRMOGRAPHICS
   - Industry: [...]
   - Size: [...]
   - Stage: [...]
   - Tech stack signal: [...]

3. TRIGGER EVENTS
   - [Event] → why it creates urgency

4. JOBS-TO-BE-DONE
   When [situation], I want to [motivation], so I can [outcome].

5. BUYING SIGNALS (for outbound)
   - [Signal + where to find it]

6. DEAL ROLES
   - Economic buyer: [title]
   - Champion: [title]
   - End user: [title]

7. DISQUALIFIERS — DO NOT TARGET
   - [Segment + why]

8. ICP SCORECARD (apply to any prospect)
   [10-question rubric, each 0-1, score >=7 = ICP]

9. EVIDENCE
   [Citations: which customers / data points support each claim]

Quality checks

Predictive test: pick 5 accounts not used in the analysis. Does the scorecard rank them correctly by actual revenue/retention?
Disqualifier test: at least 3 explicit disqualifiers? If not, the ICP is too broad.
JTBD test: are the JTBDs in the customer's words, or marketing-speak?
Falsifiability test: could this ICP be wrong? If it reads as universal truths ("companies that want to grow"), it has no information content.

Common failure modes

Aspirational ICP — the customer the team wishes they had, not the one they actually serve well. Anchor on data.
Demographic personas — "Marketing Mary, 32" tells you nothing about why she buys. Replace with situation + JTBD.
No disqualifiers — a list of who's a fit without who isn't is a wishlist, not an ICP.
Ignoring multi-audience reality — internal vs external buyers, free vs paid, SMB vs enterprise often need separate ICPs. Don't average them.
Static doc — ICPs decay. Mark a review date (default: 6 months out).

Handoffs

Once ICP is locked, hand to positioning-canvas if positioning isn't yet defined (positioning step 4 needs ICP)
Hand to outbound/copy work for messaging that uses the JTBD language
Hand to sales ops for the scorecard to filter inbound leads

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