Cint Trust Score stops fraudulent actors before they enter your survey
- Confidently field responses from real people
- Ensure the accuracy of insights
- Make the most effective business decisions
- Spend your research budget on quality data
- Maintain the credibility of your research team
Powered by advanced AI and machine learning, Cint Trust Score calculates the risk of potentially fraudulent survey activity every time a participant enters the Cint Exchange survey workflow.
Trust Score’s predictive logic proactively identifies both familiar patterns of fraudulent behavior and, through machine learning, actively identifies new patterns and terminates sessions that are likely to end in a negative reconciliation.
Each time a participant enters a survey, Cint Trust Score evaluates their previous activity against our massive data pool to grade their authenticity based on a variety of predetermined criteria:
Find out exactly how Trust Score protects the consumer insights you rely on
Read Cint’s Quality Ebook
Cint’s commitment to quality provides you with insights you can depend on.
Find out how Cint prioritizes your data quality through:
- Partnering closely with customers to resolve their concerns
- Cint’s proprietary Trust Score quality model ensuring legitimate respondents reach your surveys
- Cint’s proprietary Secure Survey direct server-to-server connections eliminating 90% of ghost completes
- Employing third-party fraud prevention solutions