Research Defender - Survey Fraud Prevention by Rep Data

RESEARCH DEFENDER We eliminate more fraudulent responses than anyone else in the industry (294,717,861 fraudulent responses in the last 12 months) because we see 4.1 billion survey entrants, have visibility into ~250 sample sources, employ top fraud specialists, harness researchers reconciliations, form close ties with vetted suppliers, and more. Defense Layer #1 The Industry’s #1 Fraud Prevention Tech Stack. Weeds out most survey fraud by scoring respondent risk in 130 ways (pre/mid/post surveys). Defense Layer #2 Reconciliations Train AI To Block New Fraud Tactics. Catches subtle, multivariate fraud patterns with live reconciliation data from 1,000’s of active projects. Defense Layer #3 Bad Actors Locked Out of All Sample Sources. Bad actors get blocked out of all projects run through Rep Data on all sources, panels, and exchanges. Defense Layer #1 The Industry's #1 Survey Fraud Prevention Tech Stack What makes us #1? We detect fraud in 130+ ways. Typical Survey Fraud Situation... Our research on research shows standard sources have 33% fraud rates and even top sources have 26% fraud rates. But the worst part is, when you look at just the segment of fraud (accounting for 33% of everything) only 16% is “ugly” fraud that you can reasonably catch in rigorous data cleaning, meaning 84% of survey fraud looks “too good to clean”. Right now, we’d be willing to bet you have some combination of: A panel you generally trust. Great screening questions. Your favorite trick/trap questions. A pretty rigorous data cleaning process. Maybe even a basic fraud defense software. The 23% (in purple) is very likely still in your survey data! Because we see and track more survey entrants than anyone else (4.1 billion, with 15 million more daily) across ~250 sample sources, we have remarkable visibility into what fraudsters are up to, in the moment, every single minute of every single day, 24/7/365. We score respondent risk in 130 different ways before, during, and after surveys are completed.Below is a partial list of some of the ways we detect fraud, however, we keep many of the criteria confidential to keep the information out of the hands of bad actors. Partial List of Research Defender's 130+ Respondent Scoring Criteria Respondent ID — RD-RSFV-7856 Some checks are intentionally redacted. Defense Layer #2 Second Shield AI Learns From All Rep Data Reconciliations Second Shield AI is an adaptive layer of machine‑learning defense that sits between our fraud prevention tech stack and the live fieldwork of our thousands of clients running several thousands of projects across the entire survey ecosystem, on nearly every possible sample source you might be using right now. Second Shield AI learns from every survey response that is later overturned in reconciliation by any of the thousands of Rep Data clients. Each reversal becomes a labeled training point (passed back with it's unique details of CPI, open‑end length, device/OS, geo, timestamps, supplier, behavior, etc.) to identify subtle, multivariate fraud patterns that signal fraud, and blocks them with 97% accuracy. What is Second Shield AI? Reconciliations train the AI. Rep Data No‑Fly List Blocked Attempts: 557 Rep Data is the only company operating an industry-wide suppression list. Defense Layer #3 Bad Actors Locked Out of All Sample Sources. We’ve created the market research industry’s first-ever “No-Fly” list to ensure the permanent exclusion of all known bad actors from entering or re-entering any survey, when run through Rep Data. Rep Data is uniquely able to create and maintain this list thanks to its ability to see and record 4.1 billion survey scans across nearly 200 sample sources, with approximately 15 million more scans coming in each day. Most have no idea how many times these same bad actors are popping up across the same sample sources over and over again, regardless of which source you use. Even if a respondent is taking your survey through a first-party source, you might not know that it’s the 267th survey of their day, because it’s a bad actor equipped to game the system across many panels. You also might not know that they’ve already answered that same survey in three other sources that happen to share samples behind the scenes due to supply shifts. The industry is messy, and the No-Fly list addition to Rep Data’s Research Defender fraud prevention suite helps researchers clean it all up for their projects, permanently. What is The "No-Fly" List? Full Ecosystem Protection. Instant API AccessDefender LinksUse Our DIY Tool Fraudsters are using LLMs to push undetectable fraud into your survey data at unprecedented volumes. Want to block it? What you have now isn't enough. Fraud isn’t new, but rapidly expanding and changing AI-enabled fraud is. This means, even after your current cleaning efforts, fraud is hiding inside your results, adding plenty of noise and bias in areas you can’t see. We see new emerging fraud tactics take enter across different panels all the time, and we’re the only ones capable of both seeing it and putting an end to it. Get Research Defender Now Get started in seconds. Simply pick 1 of 4 easy ways to start: 1) Our straightforward API 2) Add our redirect links to you survey 3) Buy sample directly through the #1 DIY sampling tool. 4) Buy sample through our top-quality services team. Use Our ServicesGet Research Defender