How to Fix Bad Data Quality in Your B2B Database
Upload the list or connect your CRM, and Cleanlist AI verifies the emails and refills stale or missing fields from 25+ providers before your next send.
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.
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Sanity10,000+ users, from founders to full sales teams
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ZoomInfo - Case study
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Clay - Case study
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How does Cleanlist AI fix bad data quality in your B2B database?
Cleanlist AI addresses bad data quality at every layer: validation at the point of entry, correction of existing records, enrichment to fill gaps, deduplication to eliminate redundancy, and normalization to standardize formats. Your whole database runs through a waterfall of 25+ providers. Invalid emails come out, missing phone numbers go in, old job titles get updated and duplicates get flagged for merging. You end up with one checked record per contact and company.
Why this is hard to do by hand
Bad data quality is several failures stacked on top of each other, and they compound. IBM's 2025 Data Quality Index put the cost to US businesses at $3.1 trillion a year. In B2B sales and marketing you see it everywhere: emails bounce off invalid addresses, calls hit disconnected numbers, forecasts drift because company data is old, and attribution breaks because duplicates split activity across records. Data comes into the CRM from web forms, bought lists, trade shows, manual entry and integrations with no shared validation, and once it's in, nothing corrects it.
The 1-10-100 rule: fixing bad data later costs 100x more than preventing it
The 1-10-100 rule, first described by George Labovitz and Yu Sang Chang, puts the cost of a bad record at $1 to verify when it enters, $10 to clean and dedupe once it's inside, and $100 in consequences if nobody fixes it (bounced campaigns, lost deals, compliance problems). Each stage you wait multiplies the cost by ten. Take a 50,000-record database where 10,000 records are bad: by the rule, cleaning them later costs $100,000 and leaving them costs $1,000,000. The cheapest place to catch bad data is where it enters. Cleanlist AI's API validates emails there at 0.5 credits each, and a scheduled refresh catches the records that decay after they're in.
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
Assess the data
Upload your database or connect your CRM. You see how many emails fail verification, how many records lack a phone number, which fields are empty and where formats don't match.
- 02
Size the problem
Put those counts next to your team's send and call volume. Invalid emails are your next campaign's bounces, and missing phone numbers are calls your reps can't make.
- 03
Run the fixes
Cleanlist AI verifies emails, validates phone numbers, standardizes titles and normalizes company names and addresses in one run.
- 04
Fill the missing fields
The waterfall asks 25+ providers for what's missing: emails, phone numbers, job titles, employee count and industry. You pay only for what it finds.
- 05
Merge the duplicates
Fuzzy matching finds the same contact or company across name variations, email aliases and phone formats. You preview each merge before it happens.
- 06
Check data where it enters
Validate web forms, CRM imports and integrations through the API, so bad records get rejected or flagged before they land.
What you get.
Check the whole list
Validation is 0.5 credits per email, so you can run every record before a send.
25+ providers per lookup
When one provider has nothing for a contact, the waterfall asks the next one.
Fixes land in your CRM
HubSpot and Salesforce sync both ways on Pro and Enterprise, so corrected fields go back onto the same record.
A miss costs nothing
You pay for the emails and phone numbers the waterfall finds. Rows it can't fill cost 0 credits.
Manual process vs Cleanlist AI.
| Feature | Manual | Cleanlist AI |
|---|---|---|
| Scope of data quality fixes | One issue at a time (email OR phone OR dupes) | Emails, phones, titles and duplicates in one pass |
| Time to process 10,000 records | 40-80 hours of manual work | One batch |
| Field completeness improvement | Whatever one person can research | Missing fields filled from 25+ providers |
| Duplicate detection accuracy | Exact match only (misses variations) | Fuzzy matching across name, email, phone |
| Ongoing prevention | Manual review on ad-hoc basis | API validation where data enters |
| Annual cost of bad data | $12.9M average per org (Gartner) | From $49 a seat a month, 25% off annual |
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.
Will this prevent the problem from recurring?
A one-off cleanup won't, because people keep changing jobs. Re-run the list through Cleanlist AI before each campaign. Validation is 0.5 credits per email, and a lookup that finds nothing costs nothing.
What are the most common types of bad B2B data?
Invalid email addresses, missing phone numbers, outdated job titles, duplicate records and inconsistent formatting. Titles go stale as people get promoted or change jobs, and duplicates pile up when records arrive from several sources. Cleanlist AI handles all five in one pass.
How do I measure data quality improvement?
Track five numbers before and after a clean: email validity rate, phone number coverage, field completeness, duplicate share and format consistency. Pull them from the same export both times so the comparison holds, and measure again after each scheduled refresh.
How do I prevent data quality from degrading again?
Validate new records as they arrive and refresh the old ones on a schedule. Cleanlist AI's API checks emails and phone numbers as they come in through forms, imports and integrations, and an agent can re-run enrichment on existing records at the interval you choose.
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.