A patent-pending next-gen market research solution to respondent de-duplication

Assuring and certifying respondents are not duplicated is a fundamental principle of market research data collection. At SHC, we work diligently to mitigate the risk and inaccuracy of duplicated responses by leveraging our proprietary set of tools. AuthenticID is a patent pending technology that eliminates both the risk of duplicate responses and false positives, therefore ensuring data integrity and reducing costs. Industry standard de-duplication technologies are built with a ‘one-size-fits-all’ mentality that fail to account for respondent behavior, and robs clients of completes. AuthenticID accomplishes these goals in 3 ways:

Sophistication – we look at an extremely broad range of parameters to determine whether a respondent is unique or not; this also allows us to identify unique respondents that other tools would incorrectly characterize as duplicates (e.g. Different respondents with the same IP address working in the same office or hospital)

Flexibility – because differences in geography and target make every study different, we have ensured that the duplicate identification process can be made more or less strict on a project by project basis

Enhanced Multi-Device Recognition – the average survey respondent uses 8 different devices to connect to the web; our unique algorithm ensures we identify respondents who access your survey from multiple devices to ensure they do not complete the survey multiple times from those different devices

Authentic ID Benefits:

  • Always on technology (simple testing bypass to ensure technology is never accidently bypassed for live fielding)
  • Seamless/Simple resetting of “disqualifies” for re-attempt
  • Blacklisting/Whitelisting (e.g. Prior wave suppressions, global or survey specific exclusions/inclusions)
  • Flexible security (selective security adjustment)
  • Fraud Prevention (e.g. Proxy, TOR, BOTs)
  • Enhanced digital tracking
  • Deployment of all current deduplication technologies

AUTHENTIC ID CASE STUDY