TrueSample employs many of the same advanced validation technologies used to prevent online credit fraud—so respondents are validated from every angle. Through the use of TrueSample’s real-time API's or batch uploads, customers can independently verify that their participants are real, unique, and fraud free. Read on to learn about all the included features:
Collects and evaluates names and postal addresses against third-party consumer databases to determine if they're legitimate and correspond with one another. Provides confidence in knowing that a participant is who they say they are and lives where they say they live.
For records that fail RealCheck Postal or where a postal address is unknown, we evaluate respondents’ names and email addresses against third-party databases of social and other online sources.
TrueSample is the industry’s only solution to proactively identify duplicates both within an individual sample source as well as across all of the sample sources represented in the TrueSample ecosystem.
Validated and de-duped PII is a good starting point, but TrueSample's Sample Validation software allows you to take your validation(s) to an even deeper level with it's geo-location distance check. It will tell you the distance (in miles) between the latitude/longitude coordinates of the postal address and the latitude/longitude coordinates that the users IP address resolves to. There is no magical number where the distance becomes too far, so we allow you to have the flexibility to decide what your risk threshold is and decide what "too far" is for your business.
Take a look at some of our white papers to see how Sample Validation can help you.
Critical questions about data quality need to continue to be asked and answered. Can a small percentage of bad respondents, those whose responses are unreliable, affect survey results? Can the risk imposed by bad respondents be mitigated by increasing the sample size? How can data quality be assured when multiple panel sources are involved?Read the entire article...
This research-on-research project is designed to further the industry's understanding of advances in data quality improvement techniques. The research strives to examine and understand the effects of certain data hygiene practices, specifically respondent identity validation, on sample diversity.Read the entire article...
TrueSample works on any survey platform with any sample source, so you can depend on consistent and reliable results.Contact us today