urlcv

ICP builder

Build, score, validate, and operationalise your ideal customer profile with deterministic outbound planning outputs.

Speed up your recruitment workflow

URLCV automates CV parsing, candidate scoring, and shortlist generation — so you can place more candidates, faster.

Start free trial →

ICP builder

Guided ICP wizard with deterministic outbound outputs

Frontend-only tool (no server processing)

What is an ICP?

ICP means Ideal Customer Profile - a clear definition of the accounts and buyer roles most likely to buy, get value, and respond to your outreach. This builder helps you turn that into practical targeting rules, scoring, and execution steps.

Pain-to-persona mapping

Weighted ICP scoring model (must total 100)

Validation guardrails

Confidence:

Trigger urgency tiers

TAM-lite estimator

Estimated accounts:

Estimated contacts:

Rule-based estimate using size/geography/persona constraints.

Account scoring input (0-100 fit + band)

Fit score: / 100

Band:

Outbound query builder

Messaging angle matrix (persona x pain x proof x CTA)

Persona Pain Proof CTA

30-day outbound test planner

Prospecting checklist

Copyable ICP one-pager

Version snapshots + performance by version

Stored locally in your browser. Backend persistence can be layered later.

Validation tip

Aim for 2-4 industries, 2-6 personas, and a negative rule set. Too broad wastes touches; too narrow starves pipeline.

ICP builder

Define and operationalise your ideal customer profile in one browser-based workspace.

What it includes

  • Guided ICP wizard for industry, company size, geography, personas, triggers, and exclusions
  • Must-have vs nice-to-have criteria with positive/negative targeting rules
  • Weighted fit scoring model and account-level score calculator
  • Deterministic LinkedIn/Sales Nav/Boolean query blocks
  • Messaging angle matrix, 30-day outbound planner, TAM-lite estimator, and checklist
  • Copyable one-pager, print-friendly brief, CSV starter schema export, and local version snapshots

Everything runs locally in your browser; no server processing required.