What this service covers
A custom Data Verification 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.
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.
Written checks, agreed before delivery
Filter only where it helps by campaign goal
Add filters only when they support the campaign goal. Over-filtering can remove valid prospects.
Fields confirmed in scope, with field definitions
| Data Field | Status |
|---|---|
| Deliverability Verdict per Record | Confirm in scope |
| Bounce Risk Classification | Confirm in scope |
| Duplicate Cluster IDs | Confirm in scope |
| Title & Employment Flags | Confirm in scope |
| Company Status Check | Confirm in scope |
| Before/After Audit Log | Confirm in scope |
Review a sample before full production
Review representative rows for relevance, structure, and formatting before full production.
| Full Name | Title | Company | Work Email | Phone Number |
|---|---|---|---|---|
| Elena Rostova | VP of Global Sales Ops | CloudScale.io | elena@cloudscale.io | +1 (415) 555-0134 |
| Marcus Sterling | Head of Infrastructure | CyberGuard | m.sterling@cyberguard.io | +1 (212) 441-9023 |
| Vikram Patel | Chief Technology Officer | Apex Fintech | v.patel@apexfin.com | +1 (312) 902-8812 |
Common campaign goals
Pre-launch list audits
Verify every address before flagship campaigns protect sending domains.
CRM health projects
Run quarterly dedupe and decay sweeps across Salesforce or HubSpot.
M&A data consolidation
Merge acquired databases safely with conflict flagging and survivorship rules.
Teams that use this list
Different teams use the same list for different goals. Agree the audience and use before work starts.
CRM administrators
Purge dead records, duplicates, and stale titles from the system of record.
Email marketers
Protect domain reputation before reputation damage costs revenue.
Data governance teams
Enforce quality SLAs across departments pulling from shared datasets.
Four steps, from brief to delivery
Brief and scope review
Confirm inclusions, exclusions, fields, and intended use before research starts.
Sample approval
Review representative rows for relevance, structure, and formatting before full production.
Research and quality review
Records are matched, standardized, and checked against the agreed acceptance rules.
Delivery
Receive the approved format with field definitions and review dates where available.
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.
- Records outside the approved brief
- Sensitive personal data or inferred sensitive traits
- Guessed or inferred values
- Records without a documented source
Priced on scope, accepted output
Quoted after scope review. Price depends on audience complexity, required fields, validation depth, volume, and delivery needs.
For teams testing verified data for the first time.
- 1,000–10,000 contacts
- Verified work emails
- 48-hour delivery
- Free 5-contact sample
For scaling outbound teams that need phone reach too.
- 10,000–100,000 contacts
- Emails + direct dials
- Priority research desk
- Monthly refresh option
For global teams with ongoing data needs.
- 100,000+ contacts
- Global multi-region builds
- Dedicated research team
- DPA & custom SLAs
Straight answers, before you buy
What is included in a data verification?+
Inclusions for the data verification 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 verification 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 verification 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 verification brief. Confirm the final schema during sample approval.
What should we provide to get a quote?+
Share the target audience for the data verification, regions, roles, company filters, required fields, exclusions, estimated volume, delivery format, and intended business use.
Customer references available on request