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20 Common Technical Fraud Signals
We break the black box of "technical signals" into five types of fraud signals, then walk through the 20 signals inside them, covering what each detects, where each is ambiguous, and how to tell a vendor that understands its own tooling from one reading off a feature list.
Open resourceRep Data's Global Audience Reach
The reach, depth, and quality of the respondents Rep Data delivers across 57 countries, backed by the #1 survey fraud defense in market research. Every number in the book is sourced directly from live fielding data, not a rate card.
Open resourceAnswers to ESOMAR's 37 Questions
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.
Open resourceFrom Access to Trust
Kurt Knapton, former CEO of e-Rewards and Research Now and a Rep Data board member, looks back on two decades of online sample evolution. From double opt-in panels and river sampling to marketplaces, fraud prevention, and AI-driven quality approaches, the guide traces how the industry's scarce resource shifted from respondent access to respondent quality.
Open resourceESOMAR 2026 Research Brief and Slide Deck
Start with the research brief from our ESOMAR Congress 2026 session with Dr. Julia Mittermayr and Steven Snell, PhD, then explore the full slide deck. Together, they put eight fraud signals to the test on 11,778 real respondents and show why poor quality data rarely follows a single pattern.
Open resourceWatch a recording
Rep Data Quality Days 2026: Day 2
The full recording of Day 2 of Rep Data Quality Days, recorded live on October 22, 2026, with John Bremer and Steven Snell, PhD. John explores how survey design, sampling and representativeness shape research outcomes. Steven examines why fraud can look clean, why inattention is a different problem and how layered checks support more defensible quality decisions.
Open resourceRep Data Quality Days 2026: Day 1
The full recording of Day 1 of Rep Data Quality Days, recorded live on October 15, 2026. Ray Poynter and Anita Watkins unpack what 173 research buyers across 29 countries say about trust, quality and vendor choice, then Debrah Harding and Chris Stevens share a practical framework for proportionate, defensible data cleaning decisions. Moderated by Steven Snell, PhD.
Open resource2025 State of Survey Fraud
Our most comprehensive analysis yet. We examined data from over 4 billion survey attempts to quantify the scale of fraud across panels, marketplaces, and direct sources. The findings reveal how fraud patterns have evolved and what research teams need to do differently to protect their data.
Open resourceAnalyzing Survey Fraud Across 6 Sources
We ran a controlled study sourcing 3,600 respondents from 6 different sample providers and marketplaces. Every respondent was screened by pre-survey fraud prevention and scored by in-survey data cleaning. The results show significant quality variation between sources and highlight why multi-layer quality controls are essential.
Open resourceThe Fraud Mirage
Our original research that put the problem on the map. We analyzed 1,928 responses sourced through sample marketplaces and found that nearly one in three were fraudulent. This study demonstrates the gap between what buyers think they are getting and the reality of marketplace sample quality.
Open resource