Custom list

Data Cleansing Services

Build a Data Cleansing Services around the companies, roles, locations, and fields your campaign needs. Precise Global scopes each request before research.

Scope

What this service covers

Data Cleansing Services

A custom Data Cleansing Services built to a written brief, covering the organizations, roles, and regions your campaign needs.

The scope can combine organization type, operating segment, geography, company attributes, role, seniority, and required fields. Final availability depends on the approved brief and sample review.

Record any limits in the proposal before purchase.

Target market

Useful starting segments for this list

Add company size, revenue band, location, ownership, operating model, or technology use only when they support the campaign goal. Over-filtering can remove valid prospects.

Deduplication & fuzzy matchingStandardization & normalization (names, titles, addresses)Syntax, domain & MX-level email validationDisposable, role-based & catch-all screeningPhone number validation & line-type detectionPostal address hygiene & formattingSuppression list & opt-out scrubbing
Acceptance rules

Written checks, agreed before delivery

Scope
Scoped to your brief
Geography
Set by your target geography
Acceptance
Acceptance rules agreed per order
Review window
Review window agreed per order
Confirm each record fits the agreed audience
Check each role against its buying responsibility
Measure duplicates with agreed person and company keys
Record unknown or unmatched values rather than guessing
Define the target market

Filter only where it helps by campaign goal

Add filters only when they support the campaign goal. Over-filtering can remove valid prospects.

Organization typeOperating segmentCountry & stateCity / metroCompany sizeRevenue bandOwnershipTechnology use
Roles and buying group
CRM AdministratorsMarketing Operations ManagersData AnalystsSales Operations LeadersRevOps DirectorsDatabase Marketing ManagersIT Data Stewards
Fields and delivery format

Fields confirmed in scope, with field definitions

Data FieldStatus
Duplicate records removedConfirm in scope
Invalid emails flagged/correctedConfirm in scope
Deliverability after cleanseConfirm in scope
Turnaround timeConfirm in scope
Before/after audit reportConfirm in scope
Human review of edge casesConfirm in scope
Sample review

Review a sample before full production

Review representative rows for relevance, structure, and formatting before full production.

data-cleansing-services.csv
Sample
Full NameTitleCompanyWork EmailPhone Number
Elena RostovaVP of Global Sales OpsCloudScale.ioelena@cloudscale.io+1 (415) 555-0134
Marcus SterlingHead of InfrastructureCyberGuardm.sterling@cyberguard.io+1 (212) 441-9023
Vikram PatelChief Technology OfficerApex Fintechv.patel@apexfin.com+1 (312) 902-8812
Use cases

Common campaign goals

Pre-campaign hygiene

Clean a list before a product launch so deliverability and sender score survive the send.

CRM migration prep

Dedupe and standardize legacy data before it pollutes a new Salesforce or HubSpot instance.

Ongoing data health programs

Run monthly cleansing cycles that outpace natural B2B data decay of 25 to 30% per year.

Delivered as:CSVXLSXField definitionsReview datesCRM mapping
Who uses it

Teams that use this list

Different teams use the same list for different goals. Agree the audience and use before work starts.

B2B marketing teams

Cut bounce rates and protect sender reputation before your next major campaign.

Sales operations leaders

Give reps clean accounts and deduplicated territories instead of duplicate CRM noise.

Agencies managing client data

Audit and repair client databases before migrations, ESP switches, or campaign launches.

How the project works

Four steps, from brief to delivery

STEP 01

Brief and scope review

Confirm inclusions, exclusions, fields, and intended use before research starts.

BRIEF
STEP 02

Sample approval

Review representative rows for relevance, structure, and formatting before full production.

SAMPLE
STEP 03

Research and quality review

Records are matched, standardized, and checked against the agreed acceptance rules.

PRODUCTION
STEP 04

Delivery

Receive the approved format with field definitions and review dates where available.

DELIVERY
Written scopeSample firstAgreed review window
Request a scoped sample
Privacy and responsible use

Use it responsibly, document it up front

Lawful basis review

Have your privacy or legal team review the audience, source categories, lawful basis, and notices before activation.

Contract terms

Precise Global documents processing roles, deletion options, and available contract terms during procurement.

Retention and access

Limit exports and access to the people who need them. Confirm retention periods before delivery.

Suppression lists

Keep a current suppression list. Opt-out handling is agreed before any activation.

Not included
  • Records outside the approved brief
  • Sensitive personal data or inferred sensitive traits
  • Guessed or inferred values
  • Records without a documented source
Pricing

Priced on scope, accepted output

Quoted after scope review. Price depends on audience complexity, required fields, validation depth, volume, and delivery needs.

Starter
$0.15 per record

For teams testing verified data for the first time.

  • 1,000–10,000 contacts
  • Verified work emails
  • 48-hour delivery
  • Free 5-contact sample
Get a quote
Most popular
Growth
$0.10 per record

For scaling outbound teams that need phone reach too.

  • 10,000–100,000 contacts
  • Emails + direct dials
  • Priority research desk
  • Monthly refresh option
Get a quote
Enterprise
Custom annual programs

For global teams with ongoing data needs.

  • 100,000+ contacts
  • Global multi-region builds
  • Dedicated research team
  • DPA & custom SLAs
Get a quote
Replacement terms
Set replacement rules, review window, and sample terms in the proposal before purchase.
Customer references

Customer references available on request

“We needed direct dials for our outbound outreach. Every number was live, zero dead extensions in the whole list.”

Marcus Sterling · Head of Infrastructure, CyberGuard

“Same titles, but triple the connect rate. We switched everything over and never looked back.”

Vikram Patel · Chief Technology Officer, Apex Fintech
COMMON QUESTIONS

Straight answers, before you buy

What is included in a data cleansing services?+

Inclusions for the data cleansing services depend on the approved brief. Define the target organizations or records, roles, regions, required fields, exclusions, delivery format, and acceptance rules before work begins.

Can the scope be customized?+

Yes. Define the data cleansing services target by industry, organization type, geography, company attributes, role, seniority, and required fields. Ask for a sample structure before approving a full project.

How should we assess data quality?+

Review a representative data cleansing services sample against written acceptance rules. Check match accuracy, role relevance, field completeness, duplicates, formatting, suppression handling, and the date each record was reviewed.

Can the file match our CRM format?+

Include your import template, field names, allowed values, unique identifiers, and formatting rules in the data cleansing services brief. Confirm the final schema during sample approval.

What should we provide to get a quote?+

Share the target audience for the data cleansing services, regions, roles, company filters, required fields, exclusions, estimated volume, delivery format, and intended business use.

Get this data

Get Data Cleansing Services data. Scoped to your brief.

Tell us where to send it and we'll confirm your data cleansing services scope.

Where should we send it?

No sales call unless you ask.

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