3 steps to identify False Positives
Blocking good customers harms your revenue. Unfortunately, this happens too often. Our use case illustrates how we, at anlyx, protect our merchants from blocking too many genuine customers without increasing chargeback-rate. Our approach: a better configuration of existing risk management solutions.Download it now. For free!
Download the full use case about False Positives – for free.
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Can you improve your risk configuration?
Identifying fraud has never been easier in eCommerce history, was it? Over the last years a bunch of risk management solutions launched. All of them promised to stop fraud. But all of them are blocking good customers. Find out why we think that every risk management configuration is worth a more detailed analysis.
Business Model
Success metrics for risk management solutions are still focused on chargeback rates; damage due to rejecting genuine customers – so called False Positives – is not considered.
Methodology
Merchants are lacking the capabilities for configuring their risk engines correctly. As solutions becoming ever more complex, payment departments do not have the skills in Analytics and Data Science to maintain the software.