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AI assisted ICP

Updated over a week ago

Overview

The Customer Profile Builder automatically creates an Ideal Customer Profile (ICP) based on real customer data and external company information.

Instead of manually defining your ideal customer, the feature analyzes your historical data and public information to identify the types of companies that are most likely to convert and succeed with your offering.

The generated ICP is then used by another workflow to automatically suggest relevant leads that match this profile. More on this in the article that follows.

How It Works

Step 1: Activate the AI-Assisted ICP

From the Insider Program section, activate the AI-assisted ICP feature and open the AI-assisted ICP tab.


Step 2: Click “Compute ICP”

Click the Compute ICP button to start the process.

Behind the scenes, the system performs several steps to build your ICP:


How the ICP Is Generated

The ICP is not based on assumptions — it is built using a combination of internal performance data and external business intelligence.

1. Internal Customer Data Analysis

The system reviews:

  • Your top 50 customers

  • Won deals

  • Lost deals

This helps identify patterns in:

  • Company size

  • Industry (vertical)

  • Geography

  • Other common attributes

By comparing successful and unsuccessful deals, the system learns which types of companies are most likely to convert and generate value.


2. Web & Market Intelligence

An AI agent analyzes the company’s:

  • Website

  • Public company information

  • Social media presence

This enriches the internal CRM data with additional business context, such as positioning, messaging, market focus, and company characteristics.


3. Intelligent ICP Analysis

Another AI agent combines all collected data and:

  • Identifies high-performing segments (e.g., geography, industry, company size)

  • Weighs signals based on confidence and data quality

  • Creates a structured, confidence-weighted ICP

This means the ICP is not just descriptive — it prioritizes the characteristics that statistically matter most.


4. Structured Output

The final result is a clearly defined ICP that is stored in a structured format


Manual Input & Adjustments

While the ICP is automatically generated based on data, users can also provide manual input and refinements.

This allows you to:

  • Adjust segments based on strategic direction

  • Include new target markets

  • Refine priorities based on business knowledge

  • Combine data-driven insights with human expertise

The system is designed to support both data intelligence and business judgment.


Why This Matters

Manually defining an ICP often relies on intuition.

This approach:

  • Uses real performance data

  • Compares won vs. lost deals

  • Enriches with external intelligence

  • Produces a structured, confidence-based output

  • Automatically powers lead generation

The result is a data-driven ICP that continuously improves targeting and revenue efficiency.

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