Tips for Successful Ecommerce Sites

Given the existence of IP address validation, BIN matching, and other techniques, fraud need not be a fact of life when you’re operating your own e-commerce site. It is pure horror when you suddenly find out that the bank reverses a transaction, or Papal suspends your account pending an […]

Given the existence of IP address validation, BIN matching, and other techniques, fraud need not be a fact of life when you're operating your own e-commerce site. It is pure horror when you suddenly find out that the bank reverses a transaction, or Papal suspends your account pending an investigation. But there are preventive methods to improve selling online, especially in start-up or small ecommerce sites. Here are some advanced steps to reduce or eliminate online fraud. 
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Blocking free email addresses is a great leap. Did you know that this one step alone will immediately eliminate over 90% of credit card fraud? Anybody can get a free Hotmail or Yahoo email address, and a fake order can easily be on its way. And since everyone using the Internet has either a work email address or an ISP email address, you can easily do this to avoid credit card fraud and mounting frustration. 
IP address country matching and IP locator services are other tools you can explore. Every Internet user has a unique IP address, and this number looks like: 1. 62. 255.255. You can find out yours simply by typing in "What is my IP" on Google. 
As IP addresses are assigned regionally, IP address validation results reveal what city or region you live in. Optimize your shopping cart payment portal by running a check on the user's IP. If your credit card and the IP address dictate that the user is from a different country, then you definitely have a problem going on  
Validating IP addresses coming into e-commerce sites is a major leap in preventing fraud. You can ensure greater security and instant insight and immediate contact verification is set in place. Customer engagement is increased as well, since IP geographic data can be used to customize geographically-focused offers per specified regions. 
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