---
title: "ICP Recognizer"
section: "Agent store — Sales — Sales Strategy"
canonical_url: "https://leverge.ai/agents/sales/sales-strategy/icp-recognizer"
category: "Sales"
process: "Sales Strategy"
trigger: "Run on demand"
publisher: "Ailoitte Technologies Private Limited"
---

# ICP Recognizer

Upload your won and lost deals and get an ideal customer profile derived from what actually closed — with the qualifying signals, the anti-patterns, and how much the data can really support.

## At a glance

- Business function: Sales
- Process: Sales Strategy
- Runs: run on demand
- Run cost: 6 credits
- Uses a knowledge base: no

## What it needs

- **Won and lost deals** (file upload) — One row per closed deal, won and lost together. Firmographics plus the outcome is what makes this work.
- **Profile settings** (form)

## How it works

1. Reading the deal history
2. Deriving the ideal customer profile
3. Writing the ICP document

## What it returns

- **Evidence strength** (score)
- **Ideal customer profile** (markdown doc)
- **Attributes that predict a win** (breakdown table)
- **Qualifying signals** (verification checklist)
- **Anti-patterns — disqualify on these** (flagged exceptions)

---

Source: https://leverge.ai/agents/sales/sales-strategy/icp-recognizer — Leverge
