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What Clean does

Your complete data performance system.

FIX IT, TRACK IT, KEEP IT CLEAN

Clean Duplicates

Advanced duplicate merging built for staffing.

Clean Duplicates knows how recruitment data works, so it catches the cases other tools get wrong.

The result is merging that's confident, safe, and built to handle complexity, so you can merge at volume without holding your breath.

More detail+

Find and merge duplicate Candidates, Contacts, Companies, and Leads across your ATS or CRM. Built-in guardrails, configurable confidence thresholds, and one-click undo keep the process safe and controlled, even across large, complex databases.

Advanced deduping for staffing ATS / CRM

✓Candidate, Contact, Company and Leads deduplication
✓Recruitment-specific matching logic
✓Confidence thresholds and exclude toggles
✓Bulk and field-level precision merging
✓Instant undo / merge reversal
✓Merge notifications for record owners
✓Social profile matching (LinkedIn, Indeed)
✓Parent/child company linking

Retained · placed

⇄

Duplicate · empty

One record · history intact

Undo available

Clean Analytics

See what's wrong and where it came from.

Visibility that drives your next decision.

Clean Analytics gives you a real-time picture of your database health, where problems are coming from, and whether things are getting better.

More detail+

Staffing databases carry years of accumulated problems. Inaccurate data erodes confidence, and when you can't trust it, you stop moving with conviction. Decisions get made on instinct rather than information.

Clean changes that by giving you full visibility into your database health - how many records are actually contactable, where duplicates are inflating your numbers, and whether things are improving over time.

What you can track

✓Quick-glance database health dashboard
✓Duplicate analytics by source (LinkedIn, Indeed, manual entry, job boards)
✓Contactability reporting: invalid and missing emails and phone numbers
✓Field completeness tracking
✓Trend monitoring over time: duplicates added vs. merged, progress over weeks and months

68%

Health

Contactable records

Merged vs. added · 12 weeks

Duplicates by source

LinkedIn

65%

Job boards

20%

Manual entry

15%

Clean Routines

Scheduled clean ups that keep your data in shape.

Cleaning data manually, or as a one-off exercise, is how you end up back where you started.

Routines are scheduled automations that catch and fix issues before they build up. Set the conditions once. Clean handles it from there.

More detail+

Clean's automations handle the everyday data quality issues that slip through. Formatting errors, stale status flags, invalid contacts, inconsistently coded fields. These run on a configurable schedule, overnight, midday, or on demand, so your data stays clean.

What routines fix

✓Field normalization
✓Formatting and punctuation fixes
✓Invalid email and phone detection
✓Candidate status updates and cleanup
✓Standardized field values and status codes across your database
✓Configurable rules and triggers so you can set up your own routines

Running routines

Normalize name

Nightly

Check valid emails and phones

Nightly

Record completeness

Weekly

Status clean-up

On change

↻

RUNS ON REPEAT · NOTHING TO CHASE

how it works

Connect, Clean, Continue.

The process

ATS

CLEAN

01

Connect

We connect Clean to your platform through its official API. Your data stays within your platfrom.

02

Clean

You stay in control of matching rules and data clean ups. Run them as and when you need, and undo any changes as needed.

03

Continue

Clean keeps running in the background. New problems get fixed as they arrive.

the business impacts

What changes when the data's right.

Impact

CRM adoption improves

Recruiters trust the database and stop defaulting to LinkedIn. It becomes their first stop.

Reporting becomes reliable

One version of the numbers. Forecasts hold up. Board presentations stop needing manual reconciliation.

Automation fires correctly

Sequences hOpt-outs are consolidated across merged records. AI-driven outreach can't reach someone who asked not to be contacted.it one record, not two. Deliverability and engagement rates hold up over time.

AI does what you paid for

Your AI tools work from data that reflects reality, matching accuracy improves, submission rates follow.

Sourcing gets faster

One complete result per search. No time spent piecing together which version of a record is current.

Compliance risk reduces

Opt-outs are consolidated across merged records. AI-driven outreach can't reach someone who asked not to be contacted.

Client and candidate experience improves

Every interaction feels considered. Not duplicated, not confusing, just professional.

Ops teams stop firefighting

Automated routines handle issues before they stack up. Your team spends time building, not fixing.

who it's for

Feel the difference across your business

By role

Conversion by source · Q3

Reconciled

LinkedIn

38%

Referral

27%

Job boards

19%

Direct

16%

One version · every report

Leadership

“I asked for conversion rate by source. Three people gave me three different numbers. We made a headcount decision based on one of them.”

The pain

Decisions made on data that can’t be trusted. An inflated pipeline. AI and automation that aren’t delivering what was promised.

What changes

One set of numbers everyone agrees on. Reports that reconcile. Headcount and investment calls you can defend to the board.

Incoming duplicates · by source

30 days

CV parse

42

Job board

31

Manual

12

Workflows · 12 of 12 running

Healthy

Ops / CRM Lead

“I spend more time explaining why the data is wrong than I do actually using it. Every workflow has a workaround.”

The pain

Automations break on bad data. Nobody can see where the duplicates come from, so every week turns into firefighting.

What changes

Workflows that run the way they were built. You can see which source creates each duplicate, and you get time back to improve things.

Senior accountant · Manchester

Email ✓Phone ✓Profile complete

1 result · 3 records merged

Recruiter

“I’d rather search LinkedIn than our own database. At least I know those results are real.”

The pain

The database has let them down often enough that going elsewhere feels faster. Duplicate records, incomplete profiles, contact details that lead nowhere.

What changes

One complete result per candidate. The CRM becomes worth using. More time on revenue-generating work, less on reconciling records.

Nurture sequence · send log

Step 2

Sent ×1

Opted out · skipped

Consent kept through merge

Marketing

“We sent a nurture campaign and three people replied saying they’d received it twice. One unsubscribed.”

The pain

Sending the same email twice makes you look careless. Consent sits on one record and not the other. One bad sequence can reach thousands of people.

What changes

Campaigns that land once, correctly. Consent follows the record through every merge — compliance managed continuously, not surfaced as an incident. Deliverability and engagement hold up because sequences aren't firing to fragmented or invalid records.

“Since adopting Clean, we've achieved a significant rise in CRM adoption alongside a notable improvement in the overall consultant experience.”

Claire Teden · CEO, Ethos BeathChapman

Key Results

17,000

duplicate records merged

27,485

names standardised for capitalisation

19,680

names trimmed of stray white space

Integrated with your ATS / CRM

Anyone can build a data tool. Not everyone understands staffing.

Feature

Clean Duplicates

Merge duplicates safely and at scale.

Available today

Available today

Available today

Clean Analytics

Understand what’s in your database and what needs attention.

Available today

Available today

Coming soon

Clean Routines

Keep it accurate and complete, automatically.

Available today

Coming soon

Coming soon

Recruitment data has a context generic tools don't account for: knowing which record to trust, how to handle placement history, how parent and child companies relate, what a stale status flag actually means for a recruiter.

We bring knowledge that comes from years inside the industry.

Frequently Asked Questions

Staffing data hygiene is the ongoing practice of keeping ATS and CRM records accurate, complete, and free of duplicates.
It includes deduplicating candidates, contacts, companies, and leads, normalizing and standardizing fields, and removing invalid contact details. You can do it as a one-off fix, but we recommend setting up automated routines so problems don't build back up after a cleanup.
Staffing firms collect records from many sources, including LinkedIn, Indeed, job boards, and manual entry. That leads to incomplete, duplicate, and incorrect data. Data hygiene keeps your ATS or CRM reliable enough to recruit from, report on, and run AI tools against.
Duplicates appear when the same candidate, contact, company, or lead comes in through more than one channel. Common sources include LinkedIn applications, job board integrations such as Indeed, and manual entry. Each one can create a separate record for the same person or company.
Without automated deduplication, these records pile up without anyone noticing. Across the databases we've assessed, 85%+ of duplicates come from LinkedIn and job boards alone.
Most staffing ATS and CRM platforms let you merge records manually. That rarely gives staffing firms the depth they need, especially at scale.
Clean connects to your ATS or CRM and finds duplicate Candidates, Contacts, Companies, and Leads using staffing-specific matching logic. It accounts for name variations, social profile matches across LinkedIn and Indeed, and parent/child company relationships.
Duplicates are merged with configurable confidence thresholds, field-level precision controls, and instant undo, so you stay in control of every merge.
Clean by Broad & Madison works with Bullhorn, Vincere, and JobAdder.
Yes, directly. AI tools built into or connected to your ATS or CRM work from the records in your database. If those records contain duplicates, stale status flags, or incomplete profiles, the AI will surface and act on that information.
For example, a candidate who has already been placed can appear as available, or a nurture sequence can go to both a record and its duplicate.
45% of companies cite data as the primary barrier to AI adoption, according to Bullhorn's 2026 GRID Industry Trends Report. Clean is the foundation layer that makes sure your AI tools are working from data that reflects reality.
Continuously. A one-off cleanup gets your database to a better starting point, but new duplicates and data quality issues start building up again as soon as new records come in.
Automated routines catch and fix these issues before they become a problem. Clean runs on a configurable schedule, so your database stays healthy instead of slipping between manual cleanups.
A one-off cleanup clears the backlog of problems that has built up over time. Ongoing data hygiene pairs that initial cleanup with automated routines that run continuously, so the backlog doesn't return.
We focus on long-term data health, and Clean is built for that ongoing approach.

take the next step

Your data is either working for you, or against you. Find out where yours stands with the free data diagnostic, or book a demo of Clean today to learn how you can build a database that drives confident performance.

Dirty Data? Get Clean.

85%+ of the duplicates we find trace back to LinkedIn and job boards.

45% of firms say data quality is the main thing standing between them and using AI.

Data quality isn't a hygiene task. It's a performance problem.

Duplicate records clutter every search

Reports contradict each other

Automation misfires at scale

AI amplifies the problem

Compliance gaps go unnoticed

Your complete data performance system.

Clean Duplicates

Clean Analytics

Clean Routines

Connect, Clean, Continue.

Connect

Clean

Continue

What changes when the data's right.

CRM adoption improves

Reporting becomes reliable

Automation fires correctly

AI does what you paid for

Sourcing gets faster

Compliance risk reduces

Client and candidate experience improves

Ops teams stop firefighting

Feel the difference across your business

Leadership

Ops / CRM Lead

Recruiter

Marketing

“Since adopting Clean, we've achieved a significant rise in CRM adoption alongside a notable improvement in the overall consultant experience.”

17,000

27,485

19,680

Integrated with your ATS / CRM

Frequently Asked Questions

Get Clean