Wednesday, April 15, 20262 min read
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.
A workable ICP score is a weighted blend of:
You don't need all five to start. Three is enough.
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.
Once you've got weights, every lead gets a 0-100 score. Then route:
Most teams discover that ~15% of their list scores 80+, and that 15% closes 60% of the pipeline.
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.
Don't score once at import. Re-score every time:
Continuous scoring is what separates a useful model from a stale lookup table.
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.
Written by
Founder of Navigent
Building the AI-powered B2B revenue engine for sales teams that want pipeline without the SDR overhead. Writing about cold email deliverability, AI personalization, and what actually works for outbound in 2026.
