How We Build B2B Data | Methodology & Quality Process | ScopeB2B
How we build your data.
Most data vendors won't tell you how their data is made. That's usually because the answer is "a scraper written in 2019, running unattended." Here's ours.
Human-verified workflows.
Enterprise-grade delivery.
Every record moves through a structured sourcing, validation, QA, tele-verification, and compliance workflow before delivery.
Sourcing
Proprietary records, public intelligence, and licensed partner datasets combined into a traceable candidate record pipeline.
- 300M+ proprietary records
- 40+ countries covered
- Public + partner datasets
- Every record source-tagged
AI-Assisted Extraction
AI accelerates structured extraction workflows — but every surfaced record moves to human validation before release.
- Crawl-and-classify layer
- High-volume structured extraction
- No AI-only delivery records
- Human review mandatory
Human Research
Industry-trained researchers validate titles, seniority, firmographics, and contact-account relationships.
- Role validation
- Company-contact matching
- Firmographic enrichment
- Region-trained researchers
4-Eyes QA
Every record independently reviewed by a second researcher before approval or escalation.
- Independent QA review
- Senior escalation process
- Dispute resolution workflows
- 98%+ verified accuracy
Tele-Verification
Direct dials and mobile numbers validated through live-call operational workflows.
- Live verification calls
- Title confirmation
- Verification audit logs
- Operational telemarketing scripts
Compliance Screen
Every record screened against GDPR, CCPA, CAN-SPAM, PIPEDA, and suppression frameworks.
- Regional compliance checks
- Suppression list validation
- Lawful basis review
- Non-compliant records removed
Delivery
Delivered in your format, cadence, and CRM structure with full audit-trail metadata.
- CSV, JSON, API, CRM-native
- Recurring refresh workflows
- BI-tool-ready exports
- Full audit metadata included
If the data misses the agreed accuracy threshold, we replace it.
No debate. No dispute cycle.
Our client retention depends on data quality. The service would not exist if we couldn't stand behind the accuracy of what we deliver.
What AI does — and what it doesn't.
AI accelerates parts of the research workflow. Human researchers make every final delivery decision.
What AI does
- Classifies and extracts candidate records from public sources at scale
- Scores email deliverability and bounce risk
- Matches records across sources for de-duplication
- Flags anomalies for human review
What AI does not do
- Decide whether a record gets delivered
- Make final title, seniority, or company-assignment calls
- Verify phone numbers — humans do this
- Sign off on compliance status
Humans make every decision that affects what gets shipped.
Data freshness is part of the product.
B2B data decays continuously. Our refresh workflows are designed to keep records operationally usable over time.
Proprietary Database Refresh
Minimum 20% refresh completed every quarter across the proprietary database layer.
Active Client Dataset Refresh
Campaign datasets refreshed to client specification — typically monthly for active outbound programs.
Job-Change Monitoring
Ongoing monitoring for executive transitions and role changes available as an add-on service.
Signal-Based Refresh
Refresh workflows triggered by funding events, hiring patterns, technology adoption, and other signals.
Want to see this methodology applied to your use case?
Book a scoping call and we'll walk through the data sources, validation layers, refresh strategy, and delivery workflow relevant to your market.