dataSpring values data quality first and foremost, so our stringent verification and targeting process ensures that only authentic panelists respond and take part in your studies. Our panelists are required to pass the following screening methods to get verified: captcha and duplication screening tools, panel qualifying surveys, profile detail approval/blacklisting, and project-based quality rejection. Panelists that undergo the third rejection will be rendered inactive, while verified panelists will be updated regularly with monthly survey tutorials.