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TrueSample provides software to manage Data Quality.

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latest industry news.

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We provide the industry's best
Data Quality Solutions.

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TrueSample provides
Fraud Detection software.

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TrueSample provides you with the tools to achieve a measurable increase in the confidence of your research respondents and results. A patent-pending technology, TrueSample’s software delivers objective assurance that research respondents and results areĀ Real, Unique, and Fraud Free.

Our Software

TrueSample provides three types of software to help you make sure your results are accurate and authentic. Check out all 3 to see which one(s) are best for your business.



Device
Device Fingerprint + Fraud Markers

Device Fingerprint + Fraud Markers

Device Fingerprint prevents duplication by analyzing a number of characteristics from a participant's device and puts them through proprietary algorithms to determine a unique device fingerprint. Fraud Markers checks 10 points of verification to provide unparalleled transparency and control to reduce potential fraud and manage overall data quality.

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Respondent
Sample Validation

Sample Validation

Identity validation solution that evaluates names, postal addresses, and/or email 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. Also allows for the removal of duplicates within and across sources.

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Response
Survey Validation

Survey Validation

The broadest cross platform, cross source, advanced real-time behavioral algorithm. It runs unobtrusively in the background, passively measuring how a participant is interacting with the survey. It works in real-time to spot fake, duplicate, unqualified, and unengaged participants and delivers automation, efficiency, and cost effectiveness to data cleaning practices.

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 /  White Paper

Our Evolving Ecosystem: A Comprehensive Analysis of Survey Sourcing, Platforms, and Lengths

A primary RoR project was conducted by TrueSample and DM2 in late 2013 to examine data quality and the potential for response differences due to (a) the type of device used to answer survey questions, (b) the survey instrument length, and (c) source of survey sample.

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