We created pretty simple interface, reporting to you, how healthy is your traffic.It’s been proven that humans are able to interpret shapes and layouts more effectively than text or data. Instead of just checking for anomalies in expected patterns, or finding correlations in transaction characteristics, FraudScore links disparate pieces of data that might be four, five or six hops away from each other. Previously hidden or assumed irrelevant connections become new lines of inquiry and detection becomes faster and more effective.
In this view you can see common information about campaigns and easily identify problematic ones
This section shows the partners involved in the campaign
Analysis of data to detect conversion anomalies is an important fraud detection procedure. Interactive data visualization tools that allow the investigator to change the representation of data from text to graphics and filter out subsets of conversion for further investigation have substantial potential for making the detection of fraudulent conversions more efficient and effective
Whether it’s a case of affiliate, partner, user fraud, virtually all instances of fraud involve the fabrication of a relationship between people or entities. By modeling data in a way that highlights these relationships, investigators are able to highlight suspicious and fraudulent behavior