ICP & account scoring
ICP scoring that ranks accounts by fit.
Define your ideal customer profile and rank companies by fit. Give your team a shared starting point for account selection.
A focused walkthrough, shaped around your team.
Built forSales teams refining their targeting and account priorities.
How it works
ICP & account scoring in practice.
Scores refresh as records enrich, which is why fit improves as the underlying company data fills in rather than staying fixed at whatever was known on the day. see the fields fit is scored against.
Define the profile once
Set the filters that describe a good customer — sector, size, revenue, location, tech stack — and save it as an ICP profile rather than a slide.
Score every account against it
Fit scoring runs automatically across accounts, so the ranking is applied to the whole list rather than to the part somebody had time to review.
Score the people too
Lead scoring marks contacts hot, warm or cold, which is a different question from whether the company fits and worth keeping separate.
Use the score as a filter
Score-based saved searches work the ranking directly, and the scores surface in Nora's recommendations so the day arrives already ordered.
Included capabilities
What your team can use.
Define your ideal customer profile once, then let NeuroLeash score every account against it. Fit scores rank your list so reps work the best-fit prospects first — and the rest stay out of the way.
- Define your ICP once
- Automatic account fit scoring
- Best-fit prospects ranked first
- Saved ICP profiles
- Lead scoring (Hot / Warm / Cold)
- Score-based saved searches
- Surfaced in Nora's recommendations
- Refreshes as records enrich
What it replaces
Keep the workflow connected.
Without this, prioritisation is a rule of thumb applied unevenly by each rep. ICP profiles and scoring ship with the platform rather than as a data-science add-on. see the subscription tiers.
Sorting by headcount
The proxy everyone uses because it is the only field that always has a value.
An ICP slide
A definition nobody can apply to a list is a definition that only shapes the marketing.
Manual list triage
Fit scoring covers every account rather than the first two hundred somebody worked through.
Per-rep judgement calls
Saved ICP profiles apply the same standard across the team, which also makes onboarding a new rep faster.
Questions
What people ask about icp & account scoring.
What can an ICP be defined on?
The filters the platform already holds — industry and SIC classification, company size, revenue, UK location, job title and detected tech stack. The profile is saved rather than rebuilt, and more than one can be kept.
What is the difference between account fit and lead scoring?
Account fit scores the company against your profile. Lead scoring marks a contact hot, warm or cold. A perfect-fit company can hold a cold contact and a marginal company a hot one, so the two are kept separate rather than averaged.
Does the score change over time?
Yes — scores refresh as records enrich, so an account that was scored on partial data is re-ranked when the missing fields arrive rather than staying where it first landed.
Where does the score actually show up?
In the ranking of your lists, in score-based saved searches, and in Nora's recommendations and morning briefing, so the priority reaches the rep rather than sitting in a report.
Works alongside