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Clean Your Prospect List Before Outreach

Clean Your Prospect List Before Outreach: 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.

Cleanlist AI validating prospect-list.csv. Each address is marked Verified, Likely valid, Risky, Invalid or Unknown. Of 10,000 rows, 8,612 Verified, 604 Likely valid, 431 Risky, 287 Invalid, 66 Unknown.

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

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How does Cleanlist AI clean your prospect list before outreach?

Cleanlist AI prepares prospect lists for outreach in a single automated pass. Upload the list from any source, and four steps run in order: (1) dedupe against itself and your CRM, (2) verify emails and flag the invalid and risky ones, (3) standardize names, titles, company names and phone formats, (4) fill missing phone numbers, titles and company sizes. Then push it to Salesloft or Lemlist, sync it to your CRM, or download a CSV.

Why this is hard to do by hand

Prospect lists from data vendors, event scans, webinar registrations and LinkedIn exports overlap, come in different formats and carry unverified emails. Load one straight into your outreach tool and you get bounces that hurt sender reputation, duplicates that get the same person emailed twice, and gaps a rep has to research before every call. You paid to buy or generate the list, and now you pay again in time to make it usable.

The average purchased prospect list has 25-35% unusable records

25-35%of purchased prospect list records are unusable without cleaning

Cleanlist AI looked at 50 prospect lists customers uploaded between January and March 2026, 180,000 records in all, from data vendors, event scans, webinar exports and Sales Navigator downloads. On average 25-35% of records had at least one problem that would have sunk an outreach attempt: 12% had invalid or bounced emails, 8% were duplicates (inside the list or against the customer's CRM), 5% had a job title the person no longer held, and 3% had formatting that would break merge fields. On a 5,000-record list, that's 1,250-1,750 records headed for a bounce, a duplicate touch or the wrong person. At $0.10-0.50 per purchased record, that's $125-875 spent on unusable data, before the sender reputation and rep time it also costs.

Source: Cleanlist AI internal analysis of 180,000 prospect records, 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

    Upload the list

    Drop in a CSV from anywhere: a bought list, an event scan, a webinar export, a Sales Navigator download or another tool's export. Cleanlist AI maps the columns whatever they're named.

  2. 02

    Dedupe against your CRM

    Cleanlist AI finds duplicates inside the list and, if you connect HubSpot or Salesforce, against your CRM too. Exact matches and near-matches (name and company variations) come out, so nobody gets contacted twice.

  3. 03

    Check every address

    Each email gets a syntax check, DNS lookup, SMTP validation, catch-all detection and disposable filtering. Invalid and high-risk addresses are flagged, so they never reach your outreach tool.

  4. 04

    Standardize the fields

    Names get proper case and lose prefixes, title abbreviations are expanded, legal suffixes on company names are made consistent, and phone numbers go to E.164. Clean formatting makes CRM matching and merge fields work.

  5. 05

    Fill missing fields

    The waterfall across 25+ providers adds phone numbers, updates job titles, fills in company size, industry and revenue, and confirms each person still works there.

  6. 06

    Send it to your outreach tool

    Push the finished list to Salesloft or Lemlist, or download a CSV for any other tool. Nothing needs prepping by hand.

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
List cleaning processExcel formulas and manual reviewFour automated passes: dedupe, verify, standardize, enrich
Deduplication accuracyExact match only (misses 'John' vs 'Jon')Fuzzy matching with configurable thresholds
Email verificationSend a test email and check for bouncePre-send SMTP verification with catch-all detection
Cleaning 5,000 prospectsSpreadsheet work and manual checksAutomated, start to finish
Cross-CRM deduplicationToo slow to do by handNew list checked against HubSpot or Salesforce
Output formatRaw CSV with manual formattingPushed to Salesloft or Lemlist, or synced to HubSpot or Salesforce

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.

Can Cleanlist AI check my new prospect list against contacts already in my CRM?

Yes. Connect HubSpot or Salesforce and Cleanlist AI checks the new list against your existing contacts. Matches get flagged, so you can leave out anyone your team is already working and avoid two reps emailing the same person.

What happens to prospects with invalid email addresses?

By default they stay in the file with a verification status, so you can filter them. Then choose: remove them, run enrichment to find another email, or keep them for phone outreach if a number exists.

Can I clean prospect lists from multiple sources in one batch?

Yes. Upload several CSVs and Cleanlist AI merges, dedupes and cleans them as one list, for example a bought list, webinar registrants and a LinkedIn export going into the same campaign.

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.