Glossary

What is ICP scoring?

A glossary guide to ideal customer profile scoring for PLG, sales routing, and onboarding personalization.

View glossary

Definition

ICP scoring

ICP scoring ranks users or accounts by how closely they match an ideal customer profile, using enriched attributes such as company size, industry, role, use case, geography, technology fit, and product signals to guide routing and personalization.

Groful intelligence flow

Raw signal → enriched context → revenue action

Concept

Term

Signals

Context

Workflow

Action

PLG signupraw userenrichmentPQL route
ICP scoringcompany fitscorepriority
Account matchteammatesgraphexpansion

Key points

The concept in one product view

01

ICP scoring helps teams focus attention on best-fit users and accounts.

02

Scores should be explainable enough for sales, growth, and product teams to trust.

03

The strongest scoring models combine enrichment with product behavior and feedback loops.

Groful intelligence flow

Raw signal → enriched context → revenue action

Concept

Term

Signals

Context

Workflow

Action

PLG signupraw userenrichmentPQL route
ICP scoringcompany fitscorepriority
Account matchteammatesgraphexpansion

How it works

The concept in practice

This glossary detail page now behaves like a compact product explainer, showing the path from definition to signal to activation.

1

Define the ideal profile

Teams identify the company and user traits correlated with retention, conversion, deal size, or activation.

term
define
clear
2

Enrich users and accounts

Groful adds the attributes needed to compare signups and accounts against the ICP definition.

signals
inputs + rules
mapped
3

Route by score and reason

High-fit users can trigger sales alerts, concierge onboarding, lifecycle tracks, or deeper account research.

workflow
decision + action
applied

Implementation path

01 define concept
02 map signals
03 choose workflow
04 activate outcome

Examples

Where teams see it

A target-industry company with multiple relevant users receives a high ICP score.
A small hobby account remains self-serve because fit is low despite high usage.
A lifecycle campaign changes messaging for mid-fit users that need more education.

FAQ

Frequently asked questions

What data goes into an ICP score?

Common inputs include firmographics, role, company size, industry, geography, product use case, teammate activity, and past customer patterns.

Should ICP scores be binary?

Usually no. Tiers, confidence, and score reasons are more useful than a single yes-or-no label.

How often should ICP scores update?

Scores should update when important enrichment data, account relationships, or product behavior changes.

Score users and accounts with better context

Use Groful enrichment to prioritize high-fit accounts and personalize the right journeys.

Talk to us