Cint Exchange quality
Confidently source insights from real people.
As the world’s largest research marketplace, Cint is successfully taking decisive action against global fraud networks that seek to exploit our platform and the entire online research industry at large.
Cint’s quality commitment.
A combination of proprietary and third-party security.
Cint proactively addresses survey fraud with a dedicated Trust and Safety team backed by decades of market research industry and engineering expertise.
We are at the forefront of developing automated data integrity checks using complex algorithms and always learning AI to identify and stop auto-generated bot attacks and human fraud at scale.
Proprietary solutions
Researchers depend on Cint’s high-quality insights. We safeguard the Cint Exchange ecosystem by proactively developing industry-leading, AI and machine learning data security protocols.
Cint Trust Score
Cint’s proprietary Trust Score is the centerpiece of our global data quality commitment to deliver genuine insights from real people. The Cint Trust Score model is powered by AI and machine learning and grades respondents each time they enter the survey workflow.
Cint Secure Survey
Cint offers a dedicated server-to-server API connection that securely connects sample buyers directly to the Cint Exchange helping to eliminate ghost completes and link manipulation.
Third-party solutions
Cint uses top-tier third-party solutions that work seamlessly with our data quality protocols. These include Data Dome, which detects and prevents attacks from automated, scripted bot attacks. Research Defender assists Cint in deduplication and detects and diverts fraudulent VPN usage and fraudulent IP addresses.
Internal programs
Cint continually develops internal data quality programs that promote a healthy research ecosystem. These include:
- An automated survey health review that pauses poor-performing surveys and notifies the research project manager to review their study
- An automated panel cleaning protocol that identifies fraudulent panelists and removes them from our sample inventory
- A panel improvement program that monitors negative reconciliation thresholds
Cint’s data quality workflow.
Follow the sequence of quality checks Cint has in place to detect fraudulent activity on the Cint Exchange.
Get into the details. Read our data quality eBook.
Find out how we secure our research ecosystem in this brief eBook. Learn how each component of Cint’s coordinated fraud prevention and security commitment contributes to deliver authentic insights from real people.