ICP Scoring: How to Build One That Actually Works

ICP scoring is the highest-ROI thing your team isn't doing

Most B2B teams treat every lead the same: same sequence, same channel mix, same priority. The math says you're leaving 30-50% of pipeline on the floor.

A practical ICP scoring model fixes this in a week. Here's how we set ours up at Navigent, and how the same approach works for your team.

Step 1: Define the 5 factors

A workable ICP score is a weighted blend of:

1. Firmographic — company size, industry, geography.
2. Technographic — tools they use today.
3. Intent — hiring patterns, funding events, recent news.
4. Engagement — opens, clicks, replies in the last 30 days.
5. Persona fit — title, seniority, department.

You don't need all five to start. Three is enough.

Step 2: Pick weights based on past customers

Pull your last 100 closed-won deals into a spreadsheet. For each factor, score what % of closed deals match the criterion. That percentage becomes your weight.

Example: if 76% of your closed deals are at companies with 50-500 employees, give "company size in 50-500" a weight of 0.76. If only 22% used a specific competitor tool, technographic gets 0.22.

This sounds rough — it is — but it beats any "expert-built" model your sales leader will guess at. Real data, even messy, outperforms intuition every time.

Step 3: Score 0-100, route by band

Once you've got weights, every lead gets a 0-100 score. Then route:

• 80-100: Hot. Goes to a human rep immediately.
• 50-79: Warm. Goes into your highest-touch sequence (LinkedIn + email + voice note).
• 20-49: Cold. Goes into a low-touch nurture (email-only, monthly).
• 0-19: Drop. Don't waste cycles.

Most teams discover that ~15% of their list scores 80+, and that 15% closes 60% of the pipeline.

Step 4: Decay scores so they stay fresh

Every signal has a half-life. A funding event from 2024 isn't worth what it was last year. Build a 30-day decay into the engagement factor, 90-day decay into intent, and 365-day decay into firmographic.

Navigent's Lead Scoring module ships with these decay defaults built in.

Step 5: Re-score continuously

Don't score once at import. Re-score every time:

• New funding round announced.
• Lead opens or replies.
• LinkedIn profile changes (title bump, new company).
• Buying-intent signal triggers (e.g. visited pricing page).

Continuous scoring is what separates a useful model from a stale lookup table.

Closing

ICP scoring isn't a "nice to have" anymore — it's the difference between an outbound team that scales linearly and one that scales sub-linearly. Get the math right once, automate the routing, and your sequences self-prioritize.