Skip to content
14 days of Pro, free.Sign up with your work email for 100 extra credits.Start free trial

Clean Your Salesforce Data Automatically

Cleanlist AI fills the missing emails and phone numbers on your CRM contacts from 25+ providers and verifies the ones already there. A lookup that finds nothing costs nothing.

A Cleanlist AI audit of Salesforce 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 Salesforce.

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

  • Switched fromZoomInfo
  • Case study
  • HackerOneSwitched fromApollo
  • Switched fromClay
  • Case study
  • Sumo LogicSwitched fromClay
  • Switched fromApollo
  • Case study
  • Switched fromZoomInfo
  • Switched fromZoomInfo

How does Cleanlist AI clean your Salesforce data automatically?

Cleanlist AI performs cross-object Salesforce data cleaning that works across leads, contacts, and accounts simultaneously. It starts with deduplication: a lead that matches an existing contact, or two accounts that are the same company under different names. Next it verifies every email, standardizes picklists and free-text fields, and fills empty fields from the waterfall. Changes sync back through the native integration under your org's sharing rules and field-level security.

Why this is hard to do by hand

Salesforce spreads each person across three objects (leads, contacts and accounts), which makes cleanup harder than in a CRM with one contact table. Reps create leads from new sources without checking for an existing contact, so duplicates cross object lines. Picklist values drift as each team enters its own version. And Salesforce charges for storage, so dirty data raises your bill while it skews every report and forecast built on it.

Dirty Salesforce data costs enterprises $3.1 million per year on average

$3.1Maverage annual cost of poor data quality in Salesforce orgs

A 2025 Validity study of 600 Salesforce customers put the average cost of poor CRM data at $3.1 million a year per org. That covers lost rep time (27% of it goes to data tasks), marketing spend on invalid contacts, bad forecasts and compliance risk. For a mid-market company with a 20-person sales team the figure is smaller: $180,000 to $420,000 a year. The same study found that 94% of Salesforce customers suspect their data is inaccurate, and only 33% have a systematic process for fixing it.

Source: Validity State of CRM Data Quality 2025; Salesforce customer survey

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

    Connect your Salesforce org

    Authorize Cleanlist AI with Salesforce OAuth. There's no managed package to install. Cleanlist AI maps to your lead, contact and account objects, custom fields included.

  2. 02

    Audit all three objects

    Cleanlist AI scans leads, contacts and accounts, then reports duplicates across leads and contacts, invalid emails by object, empty required fields and picklist drift. You see the size of the problem before you change anything.

  3. 03

    Deduplicate across objects

    Fuzzy matching on name, email, domain and phone finds duplicates inside each object and across them, including the lead-to-contact and account-to-account pairs Salesforce's standard matching rules miss.

  4. 04

    Verify emails and check phone numbers

    Cleanlist AI verifies every email in all three objects and flags catch-alls, disposable addresses and hard bounces. Phone numbers get checked for format and line type (mobile or landline).

  5. 05

    Standardize fields and picklists

    Titles, company names, industries, state and country codes and phone formats all get one format. Stray picklist entries are mapped back to your org's defined values, so a report stops splitting one value into several.

  6. 06

    Schedule maintenance

    Use Salesforce Flow to verify new records as they're created and flag likely duplicates on entry. Add a monthly re-verification across the whole org.

What you get.

  • Writes back to your CRM

    Two-way sync with HubSpot and Salesforce (Pro and Enterprise plans) puts enriched fields straight onto the contact record.

  • 25+ data providers

    The waterfall asks them in sequence and stops at the first deliverable result, so a contact one provider misses can still come back from the next.

  • 98% verified work emails

    Measured on our 500-lead benchmark. Cleanlist AI flags invalid, catch-all and disposable addresses before they reach your CRM.

  • 14-day Pro trial

    250 credits and 3 seats on the Pro plan for 14 days.

Manual process vs Cleanlist AI.

FeatureManualCleanlist AI
Cross-object duplicate detectionSalesforce native: same-object onlyLead-to-contact and account-to-account
Matching algorithmExact match on email or nameFuzzy matching with confidence scores (0-100)
Email verificationNo built-in SFDC capabilitySMTP verification with catch-all detection
Picklist normalizationManual data loader updates per fieldAutomated rules across all picklist fields
Cleaning 50K recordsDemandTools plus manual reviewAutomated pass, then bulk approval
Ongoing data governancePeriodic manual auditsFlow triggers and scheduled cleaning

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.

Does the CRM integration work in real-time?

The HubSpot and Salesforce sync runs both ways, so enriched fields write back to the same records. You can run the contacts already in your CRM as one batch, then enrich new ones as they come in.

Can Cleanlist AI detect duplicates between Salesforce leads and contacts?

Yes. Cleanlist AI matches leads against existing contacts with fuzzy logic on name, email, company domain and phone. For each match you choose: merge, convert the lead, or flag it for a person to review.

Does Cleanlist AI work with Salesforce Person Accounts?

Yes. Cleanlist AI works with the standard lead, contact and account model and with Person Accounts (the B2C model). Field mappings follow whichever model your org uses, and Person Account fields such as personal email and mailing address can be cleaned and enriched.

How does cleaning affect Salesforce data storage limits?

Merging duplicates and archiving permanently invalid records frees storage, and for an org near its limit that can put off buying a storage add-on. Cleanlist AI estimates the storage impact before any cleaning runs, so you see the number first.

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.