The quality-first insights engine for modern research teams.

One engine you run on your own terms, with quality built into every layer of your research, and tools that make it easy to be sophisticated.

Trusted by leading research teams

LatitudeResearch Design SpecialistsNavigatePearsonRMG ResearchQuadrant StrategiesClear Path StrategiesVoxMedia PredictY2 AnalyticsSiegel+GaleUniversity of San FranciscoSimon-KucherTheoremReachMantis ResearchOutdoor Industry AssociationAcclaroThe SoundHumanTelNielsen SportsYouGovGoogleGoodby Silverstein & PartnersMichigan State UniversityCloroxLatitudeResearch Design SpecialistsNavigatePearsonRMG ResearchQuadrant StrategiesClear Path StrategiesVoxMedia PredictY2 AnalyticsSiegel+GaleUniversity of San FranciscoSimon-KucherTheoremReachMantis ResearchOutdoor Industry AssociationAcclaroThe SoundHumanTelNielsen SportsYouGovGoogleGoodby Silverstein & PartnersMichigan State UniversityClorox

Flexibility

Do it yourself. Never by yourself.

Move fast on your own, or bring in expert support exactly when complexity and scale call for it.

Self-serve when you want speed

Independent researchers and lean teams run studies end to end with autonomy. Program, field, and analyze on your own timeline with quality controls already built in.

  • Launch studies without waiting on a vendor queue
  • Quality screening applied automatically
  • Scale up or down project by project

Expert support when it counts

For complex, large-scale, or high-stakes work, dedicated teams step in to handle as much as you need, from methodology and programming to fielding and delivery.

  • Dedicated teams who treat your research as their own
  • Complex logic, quotas, and multi-market studies handled
  • Hand off everything or just the hard parts

See What Rep Data Catches in Real Time

Our pre-survey fraud prevention and in-survey data cleaning scan every respondent before and during your survey. The feed below shows what that looks like.

Passed
Blocked
Unknown

With Rep Data

ID
Status
Rejection Reason
ID-0001
Block

Coherence Score Check. Respondent claimed to be "vegetarian for over 10 years" in Q3, but in Q17 gave a 9 out of 10 rating to "quality of local steakhouses" as a dining preference.

ID-0002
Block

AI Check. Respondent's survey language is set to Spanish but linguistic analysis shows the text was originally generated in English by an LLM and then machine-translated, with characteristic grammar artifacts in verb conjugation.

ID-0003
Block

Grid Score Check. Respondent selected option 4 for all 35 items across 4 separate matrix-style question batteries. The probability of this pattern from a genuine respondent is near zero.

ID-0004
Pass

Validated human respondent.

ID-0005
Pass

Validated human respondent.

ID-0006
Block

Hyper Activity Detected. Respondent completed 89 surveys today, each through a different rotating residential proxy with a freshly spoofed browser fingerprint per session.

ID-0007
Pass

Validated human respondent.

ID-0008
Block

Suspicious Technology Detected. Respondent is running an Android session inside a BlueStacks emulator with a spoofed IMEI. The navigator.webdriver property is set to true, confirming automated control.

ID-0009
Pass

Validated human respondent.

ID-0010
Block

Hyper Activity Detected. Respondent attempted 127 surveys in the last 24 hours across 14 different panel sources. The median across panels is 6 to 33 per day, putting this respondent at 10x normal volume.

ID-0011
Pass

Validated human respondent.

ID-0012
Pass

Validated human respondent.

Without Rep Data

ID
Status
ID-0001
Unknown
ID-0002
Unknown
ID-0003
Unknown
ID-0004
Unknown
ID-0005
Unknown
ID-0006
Unknown
ID-0007
Unknown
ID-0008
Unknown
ID-0009
Unknown
ID-0010
Unknown
ID-0011
Unknown
ID-0012
Unknown

Rep Data by the Numbers

5B+

Survey attempts scanned and scored annually by pre-survey fraud prevention

102

Full-time employees supporting research clients worldwide

81

Lifetime NPS score from our research services group

10M

Completes delivered in 2025 across 50+ countries

Problems We Solve

Four forces working against your research

AI fraud, respondent inattention, slow workflows, and inconsistent service quality threaten every study. Here is how each one hurts your research, and how Rep Data solves it.

Agentic Fraud

The fastest-growing threat to research quality

Plausible but Fabricated

LLMs generate coherent responses that pass spelling checks, length filters, and relevance screening with ease.

Scale and Automation

Agentic bots complete entire surveys autonomously. One bad actor can generate hundreds of plausible completes per hour.

Respondent Inattention

Real people producing unreliable data

Engagement That Fades

Respondents start engaged and gradually disengage. Traditional quality checks miss this pattern.

Survey Fatigue at Scale

Respondents who have completed 50+ surveys today are going through the motions. Without cross-ecosystem visibility, this fatigue is invisible.

Slow Sample Operations

Manual workflows bottlenecking your timeline

Manual Bidding and Sourcing

RFQs, spreadsheets, email chains add days or weeks to every project before a single respondent enters your survey.

Fragmented Supplier Management

Supplier relationships live in emails and tribal knowledge. No centralized quality data. Every project starts from scratch.

Inconsistent Service Quality

Vendors you manage instead of partners you trust

Communication Gaps

No updates during fieldwork, no proactive flags. You are left guessing whether your project is on track until it is too late.

Revolving Door Teams

Different account managers every project. No institutional knowledge. You re-explain your needs every time.

Client Results

Trusted by leading research teams

TCC Global

Speed and flexibility are key in our research projects. With [Rep Data], the building, fielding, and analysis can literally all be done in a matter of days, and the easy-to-understand charts can be accessed at the touch of a button.

J

Joanne

Senior Project Director, TCC Global

ClearPath Strategies

We trust that the data Rep Data is giving us is clean, real and representative. I even recommended their services to my previous employer.

BW

Ben Winston

Senior Director, ClearPath Strategies

RMG Research

We did a couple of tests and the data was so much better that we were instantly sold. They're now our primary provider.

SR

Scott Rasmussen

Founder, RMG Research

Research on Research

Original studies on survey fraud and data quality

We study the industry so you can protect your data. Watch our latest findings from billions of survey attempts.

2025 State of Survey Fraud
June 2025

2025 State of Survey Fraud

What we have learned from 5B+ attempted responses

Survey Fraud Across 6 Sources
June 2025

Survey Fraud Across 6 Sources

3,600 respondents from 6 sources put to the test

The Fraud Mirage
February 2024

The Fraud Mirage

31% of 1,928 responses flagged as fraudulent

FAQ

Frequently asked questions

Quick answers about Rep Data's products, services, and how we protect your survey data quality.

Rep Data is a survey data quality company. We help research teams at Fortune 500 companies and leading agencies get clean, trustworthy data from online surveys. We do this through a combination of fraud prevention technology, in-survey quality scoring, and expert-managed data collection.

Most sample providers sell respondents. We sell quality. Every respondent that comes through Rep Data is screened by pre-survey fraud prevention before they enter your survey, scored by in-survey data cleaning during the survey, and reviewed by our team after. We catch 21-38% of traffic from even the most reputable panels as suspicious.

Our pre-survey fraud prevention is the tool that scans every respondent before they enter your survey, using 130+ signal digital fingerprinting, hyperactivity detection, and the industry's first no-fly fraud suppression list.

Our in-survey data cleaning is the platform that evaluates every response as it happens across multiple quality dimensions including open-ended answer quality, coherence, behavioral analytics like keystroke patterns, completion speed, and grid-question response patterns.

No. Our products work independently and together. Some clients only use pre-survey fraud prevention for pre-survey fraud screening. Others use in-survey data cleaning for in-survey quality scoring. Many use our research services team for full-service data collection. You can start with whatever solves your most pressing quality problem.

Reach out through our contact form or talk to our team directly. We will scope your needs, recommend the right combination of products and services, and get you set up. Our pre-survey fraud prevention can be integrated in minutes with a single redirect URL.

Ready to put quality first?

We partner with Fortune 500 research teams and leading agencies to build quality into every layer of their research. Use what you need, connect what you want, and scale on your own terms.