Leveraging Analytics to Beat Fraudsters Lurking on your Online Stores
Leveraging Analytics to Beat Fraudsters Lurking on your Online Stores
Signs of Payment Fraud
In my session we will talk about strategies for quickly measuring a few key indicators of fraud. Though there is no one indicator for payment fraud (except for a charge back), there are several thing that should trigger further investigation before the order is shipped and the money is lost. Here are few factors that are known to indicate a higher risk of payment fraud.
- Geography (Nigeria and Ghana)
- Different Bill to vs Ship to
- Foreign bank on credit card
- Very high order size (significantly higher than the AOS)
- Celebrities names
- Very generic names
- Addresses that aren’t real
- Location of the visitor
- Same shipping and billing address for multiple orders
- Lot of popular items (ie. a large order of iPods)
- International Orders
- Area codes that don’t match the zip code
- High fraud domestic areas
What things do you look at to flag potentially fraudulent orders?
Online Forensics
Are there shoplifters lurking in your website? Today’s economy is not only tightening your margins, but it’s also encouraging an increasing number of deceptive practices by Fraudsters. Fraudulent orders eat away at margins and can destroy a business. Come Learn powerful strategies to identify fraud and take action before it is too late. We will discuss a simple yet surprisingly effective way to help stop fraudulent orders as well as analysis tricks to identify common attributes of fraudsters using the data that you already collect. We will be talking primarily about payment fraud drop me a comment if there are other types of fraud that you are interested in.
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