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Clean Your Email List in Seconds

Clean Your Email List: 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 email-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 email list in seconds?

Cleanlist AI's list cleaning goes beyond simple verification. It removes hard bounces, flags addresses likely to soft-bounce, strips duplicates, tags role and complainer addresses, and fixes formatting. What's left is a list where each address has a good chance of reaching a real inbox.

Why this is hard to do by hand

A dirty list wastes sends and damages the domain you send from. Google and Microsoft score every sending domain, and a high bounce rate gets it throttled, which can take weeks to undo. Most teams only notice when open rates drop across the whole list, good contacts included.

Why open rates jump 22% on the first campaign after a clean

22%average open rate increase on first post-clean campaign

Mailbox providers lower a domain's reputation bit by bit as bounces and spam complaints build up, and they don't tell the sender. Open rates slide over a few months, say from 25% to 18%, and the team blames the copy or the send time. More of their mail is going to spam and promotions. Cleaning the list removes the addresses doing the damage, and providers re-score the domain over the next few sends. Across 340 Cleanlist AI list-cleaning jobs in Q1 2026, the first campaign after the clean opened 22% better on average. Lists that had gone 6+ months without a clean saw open rates rise by as much as 35%, on the same emails, because those emails were reaching the primary inbox again.

Source: Cleanlist AI customer campaign data, 340 list-cleaning jobs, 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 the raw list

    Upload a CSV or XLS, or paste the addresses. Cleanlist AI finds the email column in a multi-column file, so a standard file needs no mapping.

  2. 02

    Duplicate and format cleanup

    Exact and near duplicates (john@company.com and John@Company.com) get merged. Stray whitespace, invisible Unicode characters and malformed addresses get fixed or removed.

  3. 03

    Remove invalid addresses

    Addresses with syntax errors, domains that don't exist and dead mail servers come out first. Bought and aged lists lose the most at this step.

  4. 04

    Sort by risk

    The remaining addresses land in three tiers: Safe to Send, Risky (catch-all domains, rarely used inboxes) and Suppress (known complainers, spam traps, litigators). You set the threshold for each campaign.

  5. 05

    Check against suppression lists

    Cleanlist AI checks the list against known spam trap networks, global suppression lists and, if you connect it, your own hard-bounce history. Anything that could get you blocklisted comes out.

  6. 06

    Export the clean segments

    Download the list with a status column on every address, or push the safe segment to HubSpot. The suppressed addresses come as a separate file for your records.

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
Duplicate detection methodExact match only (Excel VLOOKUP)Fuzzy matching on name, email and domain
Spam trap identificationNot possible without third-party dataChecked against known trap networks
Cleaning a 50K-row listA full workday of formulas and reviewOne automated run, 0.5 credits per address
Complainer and litigator flaggingNo visibility until the complaint arrivesFlagged before you send, from global suppression data
Encoding and format fixesFind-and-replace guessworkUnicode normalization and typo correction, done automatically
What the clean removesObvious invalids onlyInvalids, duplicates, spam traps and complainers

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.

What is the difference between cleaning and verifying an email list?

Verification checks whether one address can receive mail. Cleaning includes that check and adds duplicate removal, formatting fixes, suppression-list matching, spam trap detection and risk tiers. Verification is one step inside a clean.

Will cleaning my list reduce the total number of contacts I can email?

Yes. The addresses that come out were bouncing, trapping or complaining, and they were dragging down inbox placement for everyone else on the list. A smaller clean list usually gets more of its mail into the inbox.

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.