Recent news of a $10 million survey fraud scheme is sending shockwaves through the market research industry. As investigators uncover the extent of this nearly decade-long scheme, one thing is clear: the integrity of survey data cannot be taken for granted.
As a trusted market research provider, this story is a powerful reminder of why Alchemer’s commitment to ethical research and uncompromising data quality is non-negotiable.
Great insights start with quality data
To put it simply, insights that come from bad data lead to bad decisions. Inaccurate or fraudulent survey responses skew results, erode customer trust, and derail entire programs and strategies.
The spread of AI-powered bots and sophisticated fraudsters poses a significant threat to the integrity of market research studies and the industry as a whole. Survey fraud isn’t just a technical hurdle to overcome—it’s an ethical challenge that impacts researchers, organizations, and the people they aim to serve.
This is why Alchemer’s Research Solutions Team combines advanced technology with human oversight to detect and eliminate fraudulent responses before they compromise a research study.
Alchemer’s approach to fraud prevention
From device fingerprinting and in-survey behavioral analysis to manual response audits, Alchemer takes a multi-step approach to data quality and fraud prevention. With rigorous processes and standards, Alchemer ends up scrubbing 10–15% more fraudulent data than other providers, ensuring the insights you receive are complete, legitimate, and human.
Step 1: Pre-survey forensic screening
Before a respondent ever sees a question, they are screened using real-time device-level fingerprinting and forensic analysis. This initial checkpoint evaluates more than 40 unique markers and assigns a fraud score based on the likelihood and type of fraudulent behavior detected. Helping to identify and block:
- Bots and automated behavior
- Emulators and simulators
- Residential proxies and data center IPs
- Dark web-originated traffic
- Location and browser spoofing
- Device/account duplication
- Device oscillation and velocity anomalies
Step 2: Post-survey human and algorithmic review
After a respondent completes a survey, there is an additional step to ensure data accuracy. Using advanced technology and human expertise, the Research Solutions Team reviews open-ended answers for unnatural language patterns, odd phrasing, or copy/paste behavior, and flag responses that move too quickly or don’t follow logical patterns.
This extra layer of review helps identify:
- Contradictory or nonsensical answers
- Pre-written or scripted responses
- Unusually fast completion times
- Responses that don’t reflect real human input
Preventing survey fraud together
Maintaining data integrity is a shared responsibility and that responsibility starts with awareness and vigilance. As partners in the research process, the Research Solutions Team is committed to helping you uphold the highest standards of data quality.
In every client engagement the Reseach Solutions Team recommends the following best practices:
- Stay informed: Keep up with evolving best practices in survey design and fraud prevention. From smart screening techniques to subtle shifts in question phrasing, even small adjustments make a big impact in deterring fraud and protecting the reliability of your data.
- Embed quality checks throughout: Build data validation, logic traps, and timing checks into your surveys from the start. This proactive approach allows you to identify potential issues in real time and significantly reduces the risk of bad data slipping through the cracks.
- Be vigilant: Pay close attention to red flags, such as inconsistent answers, patterned responses, or unusually fast completions. These warning signs may indicate fraudulent behavior and should prompt a deeper review.
- Collaborate with the Research Solutions Team: When something seems off, they are there to help. Our team of experts can assist in identifying potential anomalies, adjusting your survey setup, and reinforcing your fraud prevention strategies.
Confidence with every decision
At Alchemer, we will continue to prioritize data quality in everything we do, because we understand that without good data, even the most sophisticated study loses its value.
Trust in research begins with trust in data, and that’s a responsibility we take seriously every day.
For more information about our data quality practices or to discuss your current or future research projects, please contact the Research Solutions Team today.
