4 ms·

Exactly the opposite. Generic fraud checks will perform worse

• bpicolo 8y ago
  They're not generic, though. Those providers build custom ML models specifically from your data (and they pull in a ton of signals for this), and then have the data of many other merchants to work with. At a previous employer we found both of those products to be effective.
  • yani 8y ago
    Effective at preventing fraud - sure But what about false positives?
    • bpicolo 8y ago
      If the question is whether you'll have any - of course you will! You will no matter what method you go with. At scale it's a pretty easy curve to optimize revenue on top of though, and you have to be willing to accept that bit. You know your customer LTV, you know your fraud rate/cost. Sift gives you direct control of expected false positive rate, Radar hides that optimization under the hood I think?
  • 4ad 8y ago
    These systems are the most frustrating to me, because it is the unusual transactions that are more important than the usual ones. If I have eggs delivered every week, and one of those transaction fails, who cares? If I buy a plane ticket for a flight that leaves in 30 minutes because of an emergency, I will be fucking enraged if that transaction is blocked. Similarly if I can't pay the hotel at check-out and because of this delay I miss my flight. Or when I arrive in a new country and can't pay for the taxi ride, and the ATMs don't work either. All these events have happened to me.