Every lead scored 0 to 100 against your ICP. The best fits go straight to a rep.
Describe your best customer in one sentence. The Qualification skill checks your CRM first, so current customers and open deals get flagged, then scores every lead from 0 to 100 with the reason next to the number. The skill is 5 credits a lead.
A demo of ICP scoring in Cleanlist AI. The Qualification skill scores six leads against your ideal customer profile. Each gets a fit score from 0 to 100, a written reason and a verdict, and the list sorts by score. The breakdown for the top lead shows its company, prospect, geographic and researched-signal fit.
10,000+ users, from founders to full sales teams
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Six ICP scoring criteria, and where each one comes from.
Pick the criteria that predict a deal for you and set how much each one counts. Enrichment fills in size, industry, title and location. The Research skill reads each company's site, careers page and the person's profile for the rest, with the source on every line.
Company size and revenue
Score the headcount bands you win in, like 51-200, above the rest. Headcount comes from enrichment. Where revenue matters, the Research skill looks it up and cites the page.
Industry and vertical
Weight the verticals you already close, like SaaS or financial services, and score the ones you rarely win lower. Industry comes from enrichment.
Technology stack
The Research skill looks for the tools a company runs on its site and careers page, and links where it found each one. Score up a tool you integrate with, or flag a competitor's for a displacement play. Cleanlist AI has no technographic database.
Job title and seniority
VP Sales, Head of RevOps, CRO. Score the titles that sign, so the top of your list is people who can say yes. Title and seniority come from enrichment.
Geography and timezone
Score your core markets up and the regions you can't serve down. Location comes from enrichment, down to the city.
Growth and behavioural signals
Hiring, a new round, a product launch. The Research skill searches the open web for each account and writes back what it finds, with the link, so the score reflects recent changes as well as firmographics. Cleanlist AI has no intent feed behind it.
Weight the score the way your team sells. Watch who gets routed.
An enterprise team weights company size and title. A PLG team weights researched signals. Keep one profile per motion, score the same list against each, and set the score that sends a lead to a rep.
Naomi Osei
Distyl94Route
Marcus Vale
Omni89Route
Aviva Roth
Gamma76Route
Yuki Tanaka
Sanity79Route
Sofia Marchetti
WellSaid69HoldScore first. Enrich and route only the best fits.
Put the Qualification skill before enrichment in an agent. Every week it scores the new people who match your ICP, enriches the ones at 70 or above and round-robins them to your reps in Salesforce. Everyone below 70 waits in a list, so you don't pay to enrich them.
Proposify doubled its inbound deals by scoring, enriching and routing every HubSpot lead within minutes.
- New people match your ICPCleanlist people search · Weekly
- AgentsQualification skill · Fit score 0-1005/record
- BranchContinue if fit score is 70 or moreElse
- EnrichEmail + Phone + Profile11/record
CRM ActionSync to Salesforce Contact · round-robin (all owners)- NotifySlack · #pipeline
Watch it run
Questions about ICP scoring
More on the Qualification agentWhat is ICP scoring?
ICP scoring ranks each lead by how closely it matches your best customer. Cleanlist scores every lead from 0 to 100 on company fit, prospect fit, geographic fit and researched signals, with the weights you set, and writes the reason next to the number.
What criteria does ICP scoring use?
The usual ones are company size, revenue, industry, tech stack, job title and seniority, location and funding stage. Cleanlist scores on the fields enrichment verifies (company size, industry, location, title and seniority), plus anything the Research skill looks up on the open web, like a tech stack or a recent round. You set how much company, prospect, geographic and signal fit each count.
How does AI improve ICP scoring?
A rule-based score needs someone to write and maintain every rule. With Cleanlist you describe your best customer in a sentence, and the Qualification skill reads each lead's title, company and location against it and writes down why it scored the way it did. When a score looks wrong, the reason tells you which criterion to reweight.
How accurate is Cleanlist's ICP scoring?
Every score comes with its reason, so a rep can check it before the first call. Firmographics come from waterfall enrichment across 25+ providers, and researched signals carry the link they came from. Before you trust a profile, score 50 leads you already know and check that your best customers land at the top.
Can I create multiple ICP profiles?
Yes. Keep one profile per product, segment or sales motion, and score the same list against each to see which offer fits which lead. Each profile has its own weights, threshold and criteria.
How does ICP scoring integrate with enrichment workflows?
Put the Qualification skill before enrichment in an agent. Each lead gets scored first, and only the ones above your threshold get enriched, so the 11 credits for email and phone go to leads worth calling. The Qualification skill is 5 credits a lead, and the top scores can go straight to a rep, a sequence or a CRM stage.
Score the list. Work the top of it.
Describe your best customer in one sentence. Every lead comes back with a score from 0 to 100 and the reason. Scoring is 5 credits a lead, so the 14-day trial covers 50.
14 days of Pro, free.