How to make sense of RelevantID Fraud Score? | XM Community
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I have lots of participants with high "Q_RelevantIDFraudScore".
Part of me wants to exclude them, but I will inevitably be asked "why did you exclude them" and the answer "the fraud score was high" will not be good enough.
What factors contribute to this Fraud Score?
The available documentation is cryptic and does not help me answer sensibly.
Thanks,

Did you get a chance to review this support page on Q_RelevantIDFraudScore, which uses RelevantID, an Imperium product that uses a numerical scale to quantify the likelihood of a fraudulent response? If you still have questions after reviewing the linked support pages, you'll want to reach out to Imperium, as they are best equipped to help answer questions about RelevantID intricacies.


Relevant ID Fraud Score is a legacy Imperium solution and is not accurate I had a call with them to try to make sense of the scores, They are working on a better technology not supported in Qualtrics
This solution is unreliable. Their duplicate score however seems to work well.



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