G2 reviewers report that SEON. Fraud Fighters excels in user satisfaction, boasting a significantly higher G2 Score compared to Mangopay. Users appreciate its customizability, making it suitable for various business sizes, particularly smaller B2B companies.
According to verified reviews, SEON. Fraud Fighters has a much larger volume of feedback, with 347 reviews compared to Mangopay's 42. This suggests a more reliable consensus on its performance and user experience.
Users say that SEON. Fraud Fighters offers a more intuitive setup process, with many highlighting the ease of integration into existing applications. This contrasts with Mangopay, where some users have noted challenges during the setup phase.
Reviewers mention that SEON. Fraud Fighters provides superior customer support, often described as fast and detailed. In comparison, while Mangopay's support is appreciated, it doesn't consistently match the responsiveness of SEON's team.
Users highlight SEON. Fraud Fighters' advanced features, such as real-time monitoring and AI-driven insights, which help in identifying fraud patterns effectively. Mangopay, while offering automated analysis, lacks the depth of features that SEON provides.
According to recent feedback, SEON. Fraud Fighters is praised for its robust fraud detection capabilities, with users noting its effectiveness in risk assessment and transaction scoring. Mangopay, while functional, does not deliver the same level of sophistication in these areas.
I have useful data that is very specific to my business. Can I send that to the system?
2 Comments
Official Response from SEON
Yes. Our system collects all the risk-relevant data points and we also offer industry specific pre-set rules. You may also send your own information, like...Read more
How does the scoring work?
2 Comments
Official Response from SEON
We work with rules and each of them either adds or deducts points from the “risk score” which will be between 0 (not risky) and 100 (very risky). You have...Read more
What kind of rules do you have that affect the risk score?
2 Comments
RG
VPN checks, number of suspicious ports opened, count of cards used, etc.Read more
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