Score Your Leads with Enriched Data
Score Your Leads with Enriched Data: upload a CSV or connect your CRM, and Cleanlist AI checks each row against 25+ providers in sequence. Every new workspace opens on Pro for 14 days with 250 credits, 3 seats.
The Cleanlist AI qualification agent scoring 4 leads against the ICP: Distyl 95, Omni 92, WellSaid 58, Radar 41. The top result shows its reasons: Title and seniority match your ICP; Company size in your 51-200 band; Sells into the US; Not in your CRM yet.
VP of Sales · Distyl
VP of Sales · Omni
VP of Sales · WellSaid
VP, Revenue · Radar10,000+ users, from founders to full sales teams
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How does Cleanlist AI score your leads with enriched data?
Cleanlist AI enables data-driven lead scoring by enriching every lead with the firmographic and contact data that scoring models need. Before you score, Cleanlist AI fills the gaps: company size, industry, location and job seniority go onto each lead, and an AI column can research anything else per account at 5 credits a lead. There is no technographic, revenue-range or funding-stage field to score on. Every lead then gets scored on the same set of fields, which removes the 'data completeness bias' most scoring setups suffer from.
Why this is hard to do by hand
Most lead scoring models run on incomplete data. When lead records are missing company size and industry, the model qualifies them on partial information. High-fit enterprise leads score low because their records are sparse, and small-company leads who filled in a long form score high.
Lead scoring without enrichment misqualifies 31% of leads
31%of leads incorrectly scored when firmographic data is missing
Most scoring models fail on missing fields. A lead from a company inside your target headcount range scores low because the headcount cell is empty, and a poor-fit lead scores high because it filled in more of the form. Enrichment fixes the input and leaves the model alone: Cleanlist AI fills company size, industry, location and seniority from a 25+ provider waterfall before the score runs, at 1 credit per verified work email and 10 per phone number, and a miss costs nothing. On the Cleanlist AI 500-Lead Enrichment Benchmark, 2026, that waterfall returned a verified email for 98% of 500 stratified B2B leads and a phone number for 85%. Build your criteria on the fields the waterfall fills: firmographics, title and headcount.
Source: Cleanlist AI lead scoring analysis, 12 customer implementations, Q1 2026
What a lookup costs
Each lookup walks 25+ providers in cost order, and you're charged once for what comes back: 1 credit for a verified work email, 10 for a phone number, 11 for both. Validation is 0.5 and AI qualification is 5. A lookup that finds nothing is free, and the whole team pays from one wallet.
- Verified work emails25 leads searched23 × 123
- Phone numbersVerified before anyone calls18 × 10180
- Qualification agentFit score with reasons25 × 5125
- 25+Providers queried in cost order on a single lookup
- 98%Verified work emails on our 500-lead benchmark
- 85%Phone numbers found on that same benchmark
- 0Credits for a lookup that finds nothing
How it works.
- 01
Enrich before you score
Cleanlist AI fills the fields your model scores on: employee count, industry, sub-industry, job title and seniority. No lead gets marked down for a blank cell.
- 02
Define your ICP
Set your ideal customer profile: company sizes, industries and seniority levels. Cleanlist AI scores each lead from 0 to 100 on how many criteria it matches.
- 03
Score company fit
Each lead's company is scored against your ICP, for example +20 for the right industry and +15 for the right employee count range. Points add up in the open, so you can see why a lead got its score.
- 04
Score the person
Then the person: seniority (C-suite high, IC low), whether their function matches your buyer persona, and email type (a verified work email beats a personal or generic one).
- 05
Combine and tier
Company and contact scores combine into one lead score, and each lead lands in a tier: Hot (80-100, follow up now), Warm (50-79, nurture sequence) or Cold (below 50, long-term nurture or disqualify).
- 06
Route the scored leads
Scores and tiers sync to your CRM. Hot leads go to the right rep or team by territory, deal size or product interest, and new leads get scored as they arrive.
What you get.
98% verified work emails
That's on our 500-lead benchmark. Cleanlist AI checks each email and flags catch-all and disposable addresses before you send.
25+ data providers
Cleanlist AI asks them one at a time and stops at the first deliverable result. When one provider has nothing, the next one gets its turn.
No code required
Upload a CSV or connect your CRM. If your engineers want it, the API is there from the Pro plan.
14-day Pro trial
250 credits and 3 seats on Pro for 14 days. You don't need a card or a sales call to start.
Manual process vs Cleanlist AI.
| Feature | Manual | Cleanlist AI |
|---|---|---|
| Scoring data completeness | Only the fields you already have | Fields filled by the waterfall before the score runs |
| Scoring criteria | A title keyword and a company name someone recognizes | Firmographics, seniority and department, plus AI research columns |
| Score transparency | A number with no explanation | Points itemized by criterion |
| New lead scoring speed | A daily or weekly batch | Scored as leads arrive through the API or CRM |
| High scores on bad fits | Common, because long form fills inflate the score | Rarer, because every lead is scored on the same fields |
How accurate is Cleanlist AI's data?
Cleanlist AI returned 98% verified work emails and 85% phone numbers on our 500-lead benchmark, pulling from 25+ data providers. Each lookup stops at the first deliverable result, meaning a verified or likely-valid email.
What do I get when I sign up?
A 14-day Pro trial: 250 credits, 3 seats, and every Pro feature. After it, the Free plan gives you 50 credits a month. A verified work email costs 1 credit, a phone number 10, and a miss nothing.
What data providers does Cleanlist AI use?
Cleanlist AI runs a waterfall across 25+ B2B data providers. For each record it asks one, moves to the next when that one has no match, and stops at the first deliverable result.
Can I connect my CRM?
Yes. HubSpot and Salesforce sync both ways on the Pro and Enterprise plans, and Salesloft and Lemlist take a one-way push. You can also upload a CSV, or use the REST API from Pro.
How long does it take to score my data?
It depends on the size of the file and how far down the waterfall each row has to go. Cleanlist AI runs the whole CSV as one job, so you upload once and download or sync the results when it's done.
How does enrichment improve lead scoring accuracy?
A model can only score the data it has. When company size, industry or job title is blank, it skips the criterion or uses a default, and both skew the result. Cleanlist AI fills those fields first, so every lead is scored on the same data.
Can I use Cleanlist AI scoring alongside my existing HubSpot or Salesforce lead score?
Yes. Cleanlist AI writes its score to a custom field in your CRM, next to your native lead score. You can use the fit score as one input to a wider model that also weighs behavior (page views, email opens, content downloads) from your marketing automation platform.
What is 'data completeness bias' in lead scoring?
It's when leads with more fields filled in score higher only because more criteria can be checked. A startup founder who completes a long webform outscores an enterprise VP who gave a name and email, though the VP is the better fit. Enriching every lead to the same level before scoring removes it.
Describe the job once. An agent runs it every week.
Clu turns one sentence into an agent. It searches 1B+ profiles, finds verified emails and phone numbers across 25+ providers, adds the people to your sequence and posts each run to Slack.
Weekly ICP outbound
Built by Clu from: “Every week, find 500 new people who match my ICP, get their emails and phones, and add them to Series B outbound.”
- Searched 1B+ profiles for new ICP matches500 foundPeople Search
- Ran the waterfall across 25+ providers487 emails · 412 phonesWaterfall
- Verified every email and phoneSMTP + catch-allVerification
- Added them to Series B outbound500 peopleSequences
- Posted the run to #pipelineSlackAgents
Friday 4:52 PM15 replies · 5 calls booked
Everything in the 14-day Pro trial
- Clu and agentsDescribe the job in one sentence. Clu builds the agent, runs it on a schedule or a CRM trigger and posts every run to Slack.
- People and Company SearchFind your buyers in 1B+ profiles from one sentence. Searching costs 0 credits.
- Waterfall enrichmentAsk 25+ providers in order and stop at the first verified email or phone number. 98% verified work emails and 85% phone numbers on a 500-lead benchmark.
- Email verificationRun SMTP and catch-all checks on every address before it reaches a sequence, at half a credit an email.
- ICP scoringScore every lead 0 to 100 against your ICP, with the reasons written down. The Research and Qualification skills do the digging.
- SequencesSend email from your reps' own inboxes, with call tasks. A reply stops the sequence. Sending costs 0 credits.
- CRM syncTwo-way sync with HubSpot, Salesforce and Pipedrive. Push finished lists to Outreach, Salesloft and Lemlist.
- Chrome extensionGet a verified email and phone number in one click on LinkedIn, Sales Navigator, Salesforce and HubSpot.
- MCP and APIRun the same search and waterfall from Claude or ChatGPT with 36 MCP tools, or from your own code with the REST API.
14 days of Pro, free: 250 credits, 3 seats, agents, Sequences and Clu in Slack. Then Free at 50 credits a month, or Starter at $49 and Pro at $89 a seat a month.
Hand the job to an agent.
Upload a CSV or connect HubSpot, Salesforce or Pipedrive, and run it on your own data today.
14 days of Pro, free.
Get 14 days of Pro, free.
250 credits and 3 seats. Sign up with your work email for 100 more.