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Clean Your Contact Database

Clean Your Contact Database: 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.

A Cleanlist AI audit of HubSpot Contacts · 1,284 records. The scan flags a duplicate record, a bounced email, empty title and phone fields and two unformatted or stale titles. Agents merge the duplicate, replace the bounced address with a verified one, fill the empty fields, normalize the titles and write the result back to HubSpot.

10,000+ users, from founders to full sales teams

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How does Cleanlist AI clean your contact database?

Cleanlist AI's contact cleaning goes beyond removing invalid records. It makes the data consistent across every source: name capitalization, phone formats, company names, and duplicates caught by fuzzy matching. It also removes contacts who are unreachable, unengaged or a compliance risk.

Why this is hard to do by hand

A dirty contact database costs every team something. Marketing mails dead addresses and hurts sender reputation, sales calls numbers that no longer work, and RevOps routes enterprise prospects to SMB reps because the job titles are wrong. The mess builds up over time from dozens of sources, each with its own formatting and its own accuracy.

Inconsistent job titles send leads to the wrong rep

23%of leads are misrouted due to non-standard job titles

Most CRMs route leads on the job title field. B2B job titles are all over the place: 'VP of Sales', 'Vice President, Sales', 'VP Sales & Partnerships', 'Head of Revenue' and 'Chief Revenue Officer' can describe the same seniority and still trigger different routing rules. The rule matches a string, and every vendor, region and company writes that string differently. Title normalization fixes it by mapping every variant to one seniority-and-function grid (VP level, Sales). Customers who fed the normalized titles into their CRM routing saw routing accuracy rise to 94%.

Source: Cleanlist AI title normalization analysis, 2.3M records from 90 customer databases, 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.

A first list of 25This morning · 9:14 AM
  • Verified work emails25 leads searched23 × 123
  • Phone numbersVerified before anyone calls18 × 10180
  • Qualification agentFit score with reasons25 × 5125
Total328
  • 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.

  1. 01

    Import from every source

    Connect your CRM, upload the spreadsheets different teams keep, or bring in several sources at once. Cleanlist AI lines the records up and shows where the same contact appears with conflicting data.

  2. 02

    Score each record

    Each record is scored on completeness (fields filled), accuracy (fields that pass validation) and freshness (when the data was last confirmed). A histogram shows how the scores spread across the database.

  3. 03

    Standardize formats

    Names get consistent capitals (McDonald, O'Brien and van der Berg included), phone numbers go to E.164, addresses split into structured parts, and job titles map to one hierarchy you can segment on.

  4. 04

    Deduplicate

    Fuzzy matching catches duplicates across nicknames (Bob and Robert, Bill and William), company name variants (IBM and International Business Machines) and email domain aliases.

  5. 05

    Validate and enrich

    Invalid emails and malformed phone numbers get flagged. If you want, the waterfall fills missing fields, and contacts who changed jobs come back with their new employer.

  6. 06

    Export the clean file

    Download the cleaned contacts with every original column plus new quality columns. Suppressed contacts (invalid, duplicate, compliance risk) come in a separate file for your audit trail.

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.

FeatureManualCleanlist AI
Name standardizationUPPER and lower case mixed togetherCapitalization that handles Mc, O' and hyphenated names
Cross-source reconciliationVLOOKUPs between spreadsheets, and the errors that come with themMatched automatically across CRM, CSVs and imports
Nickname resolutionBob and Robert treated as different peopleBob and Robert matched as one person
Cleaning 20K contacts2-3 days of spreadsheet workOne automated run that you preview first
Ongoing maintenanceA quarterly audit, if someone remembersValidation at entry, plus monthly re-verification

Common questions

Short answers on accuracy, cost and setup.

See what a credit buys
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 clean 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 Cleanlist AI handle contacts that appear in both my CRM and an uploaded spreadsheet?

Cleanlist AI matches them on name, email, company and phone, with fuzzy matching so small differences don't hide a duplicate. The merged record keeps the freshest, most complete value from each source, and you preview every merge before it's applied.

What happens to contacts that fail validation?

They move to a 'Needs Attention' group with the reason attached (bounced email, malformed phone number, company no longer exists). Nothing is deleted. You re-enrich them, archive them or review them one by one.

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.

An example agent run in Cleanlist AI: Weekly ICP outbound, built by Clu from one sentence.

Weekly ICP outbound

Weekly · Monday 8:00 AM

Ran in 11m 42s

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.”

  1. Searched 1B+ profiles for new ICP matches500 foundPeople Search
  2. Ran the waterfall across 25+ providers487 emails · 412 phonesWaterfall
  3. Verified every email and phoneSMTP + catch-allVerification
  4. Added them to Series B outbound500 peopleSequences
  5. Posted the run to #pipelineSlackAgents

Friday 4:52 PM15 replies · 5 calls booked

Start free trialSee pricing

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.