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Answers to ESOMAR's 37 Questions
The Rep Data transparency and quality document
Every question a sample buyer should ask, answered in full. Who we are, where our sample comes from, how every respondent is validated at the point of survey entry, and how your data is protected.
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What's Inside
Eleven sections covering all 37 questions
The document follows ESOMAR's own structure, from company background and sample sources through respondent validation, buyer controls, privacy, and security, ending with the reporting metrics we share with buyers.
Section 01
Company & experience
Who is Rep Data?
- Founded in 2020 by Patrick Stokes
- 1,000+ research teams served
- Sample-only or full service
- Certified, experienced project managers
Section 02
Sample sources & recruitment
Where does the sample come from?
- 20+ vetted, integrated supply partners
- No proprietary or exclusive panels
- Mostly invitation-only, double opt-in
- Custom recruitment for B2B and niche
Section 03
Respondent validation
Are respondents real, unique, and who they say they are?
- 130+ signal digital fingerprinting
- Bot, VPN, and agentic AI blocking
- Cross-panel no-fly list
- Five in-survey quality checks
Section 04
Delivery models & buyer control
How much control do buyers get?
- Managed service, self-serve, or API
- Real-time supplier scorecards
- Blend caps and source locks
- Include or exclude any source
Section 05
Process, profiling & feasibility
How does a project actually run?
- Brief to debrief, step by step
- Census-balanced quota design
- Feasibility given as an honest range
- Reallocation if a source underperforms
Section 06
Routers, invitations & incentives
What happens before the survey?
- API-integrated sampling, no router of our own
- Minimal, neutral pre-survey information
- Monitoring for upstream routing bias
- Incentive control down to specific quotas
Section 07
Debriefs, participation & identity
What do buyers see after fielding?
- Full debrief on every project
- Deduplication across sources
- Hyperactivity detection
- Identity confirmed at survey entry
Section 08
Blend consistency & in-survey quality
How is quality kept stable?
- Locked blends for trackers
- A Quality Score on every respondent
- AI and LLM text detection
- Auditable, documented cleaning
Section 09
Privacy, consent & compliance
How is personal data handled?
- GDPR, CCPA, and CPRA alignment
- Minimal data, deleted after roughly a month
- Consent managed at the source
- Published privacy policies
Section 10
Children's data, security & standards
What about security and standards?
- ESOMAR and GRBN guidelines
- COPPA and GDPR for minors
- Formal written security program
- Working toward SOC 2
Section 11
Reporting metrics
What can Rep Data report?
- Completion rates trended by month
- Rejection and quarantine rates
- Feasibility and quota performance
- Broken out by country and source