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ICP Analysis

ICP Analysis

Every prospecting hour and ad pound goes where the ICP points. This skill measures whether it points at the right companies. Assessments against the ICP leave a trace, so the analysis knows which criteria were active when each account was chosen and can score every criterion against what followed: meetings, opportunities, wins and churn, judged with your ICP, Goals & Objectives and Products memories. RevOps sees which criteria predict outcomes and which just feel right, revisions arrive as versions carrying their evidence, and leaders can test a proposed ICP against history before adopting it. The strategic call stays human.

Used across

Prospecting

Sales

Referenced by

ICP Analysis

Win-Loss Analysis

Applies

ICP

Goals & Objectives

Products

ICP Analysis Skill Hero
ICP Analysis·5 ICP CRITERIA RETESTED THIS WEEK
Retesting Trigger Event…
TriggerWeekly review · Trigger Event criterion retested
Live stateReading Prospect State + outcomes · scored cohort
Applying skillRunning ICP Analysis v3
Retests the Trigger Event criterion against outcomes
Traces this week's efficiency gap to that criterion
Outperforms company size on 4 of 5 tested this week
Never isolated from the segment it tracks before now
Reference memoryAgainst ICP · Goals/Objectives · Products
ActionCriterion finding written, recommendation queued for the SDR manager
Skill
ICP Analysis
v3v4
Prospecting Weekly ReviewTrigger Event re-flagged
Prospecting AnalysisTrigger Event beats size
ICP AnalysisTrigger Event recommended v4
See all 3 capabilities Run 30 times today
Upgrade proposed
Firmographic-only criteria retire once a trigger criterion outperforms themv4
The efficiency gap traced to one trigger criterion instead of company size.
Approve upgrade to ICP Analysis?
The current way > AI added on > AI-native

The ICP, held to account

The ICP decides where prospecting hours, ad budget and sales effort go, and it is usually the last thing anyone measures.

01 | The Current Way

02 | AI Added On

03 | AI-Native

Two flat quarters put the ICP on the agenda

Anecdotes versus a static document

Someone exports the wins, someone recalls the losses, and the ICP document has not changed since it was written. Examples do the arguing.

Patterns blind to the criteria

Clustering shows which accounts closed. Which criteria were applied when they were chosen was never recorded, so the lesson stays a guess.

Every criterion shows its record

Because assessments were traced at decision time, each criterion carries its meeting, win and churn record. The review argues over evidence.

A new RevOps lead inherits an unwritten ICP

A hunch with a document format

The first ICP gets drawn from remembered good customers and a few interviews. It ships as a document, and nothing tests it afterwards.

A smarter first draft, still untested

Clustering the CRM produces a plausible first ICP. Whether it predicts anything is unknowable while decisions against it go unrecorded.

A baseline built to be tested

Version one is codified with its assumptions explicit, and every assessment against it is traced. Evidence to improve it starts in week one.

Leadership wants to take the ICP upmarket

A slide of handpicked logos

The case for the shift is conviction plus a few flattering examples. How the current ICP performs, segment by segment, is not in the room.

Market data with no memory of your deals

External data says who could buy. How accounts like these performed when you actually sold to them is nowhere in its dataset.

The shift tested before it is adopted

A proposed version runs against recorded history first: how accounts like these converted, closed and stayed. Leaders see the trade early.

Referenced by

Capabilities that run this skill

Prospecting

ICP Analysis

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SEE HOW IT WORKS

Sales

Win-Loss Analysis

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SEE HOW IT WORKS
The Platform

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CRM · Emails · Calls · Marketing · Product · Support · Documents · Research
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Context · Memory · Skills · Agents · Decision Traces
AI-Native Prospecting System
Understand
ICP Fit
Account & Contact State
Buying Signals
Territory Coverage
Decide
Target Accounts
Propensity
Lead & Account Routing
Sequence Selection
Act
Outreach & Follow-up
Meeting Prep
CRM Updates
Alerts & Escalation
Learn
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Surfaces
CRM · Slack · Teams · ChatGPT · Claude · MCP · API
Output
Briefings · Artifacts · Alerts · Recommendations · Approvals · Actions

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How can AI validate an ICP?

Only against a record of how it was applied. Clustering wins describes the market you happened to close. Validation compares each criterion with the outcomes of the decisions it drove: meetings, opportunities, wins and churn, weighed against your ICP, Goals & Objectives and Products memories.

How does win-loss data update ICP Memory?

As evidence for a version change. Win-Loss Analysis reads closed deals and often finds a fit problem under a loss. This skill takes such findings portfolio-wide, scores the criteria involved and proposes a revised ICP, evidence included. RevOps approves or rejects it.

Does this judge individual accounts?

No. This skill analyses how the ICP itself is performing across the market and the pipeline: which criteria predict good outcomes, where the definition is too wide or too narrow. Judging one account against the ICP is a separate assessment, and its traces are part of what this analysis reads.

Who works with this analysis day to day?

RevOps, mostly, inside the ICP Analysis capability. Findings surface as criterion scorecards and proposed versions of the ICP, and Win-Loss Analysis leans on the same traces from the deal side. Leaders meet it at strategy reviews, as evidence under the question of where to sell next.

How does a proposed ICP version become the ICP?

Through its owners. RevOps reviews the evidence and approves criteria changes; a strategic shift in who you sell to stays with leadership. Versions can be tested against history before adoption, and each adopted version is dated, so later outcomes read back to the ICP that produced them.