As any online retailer knows, e-commerce fraud comes in many forms. Although there’s no one-size-fits-all approach to fighting the various types of fraud, knowledge is your best defense against hackers and fraudsters. Remaining vigilant helps you stay ahead of the game and prevent fraud before it happens.
If you’re already using Avolin Protect, you might have configured it to approve or cancel orders automatically through our fraud prevention workflows. But when certain orders require human oversight, you can review additional data points on the Order Review page to help guide manual decision making.
Keep reading to learn more about how to interpret device and behavioral data to spot signs of fraud.
Device and behavioral data
After reviewing information about an order and who placed it, you should examine exactly how the customer placed their order.
Tracing a customer’s navigational history through your website is a simple yet effective way to search for red flags. Most shoppers spend at least a few minutes on your storefront browsing, reviewing different products, and reading product descriptions before they place an order. If a user immediately navigates to a specific item and instantly checks out, this may be a cause for alarm. Similarly, if a user visits several pages in an impossibly fast time frame, it’s likely that they are a bot, and their order is almost certainly fraudulent. This is doubly true if an advertising campaign referred a bot to a product page, since the bot may be making fraudulent purchases as part of a retargeting scheme.
Information about a customer’s device can also shed light on their intentions. A customer may be artificially manipulating their browser’s user agent to falsely pose as a different device type. Most customers will not spoof their device type, especially for something as simple as an online purchase, and this is a significant indicator of fraud. Although there are legitimate reasons to use identity-masking services like VPNs or Tor Browser, these tools are also commonly used by fraudsters which makes them reasonably suspicious. If a customer is browsing from a mobile device, there should be a certain amount of natural movement from the user’s gyroscopic data. Since human beings exhibit slight movements whenever they use or hold a mobile device, a device that stays perfectly still is suspicious and can be indicative of bot behavior or mobile click farms.
Prevent e-commerce fraud by staying informed
There are a lot of factors to consider when reviewing an order, which is why Avolin Protect’s Order Review page is as intuitive as possible. Though it never hurts to spend time looking for these factors when you review an order, we also take care to note specific red flags whenever possible, which makes it easier to spot vital information at a glance. And if you’re still not sure whether to approve the order, our comprehensive score can give you an overall impression of an order’s fraud risk.
Staying informed and vigilant is your best defense when preventing e-commerce fraud. Unfortunately, fraudsters also do their best to stay ahead of the curve, which means an order’s legitimacy is not always clear. Using a fraud prevention tool like Avolin Protect can help you make informed decisions with as much information as possible. By learning more about your clientele, examining the outcomes of past orders, and considering your industry-specific risk thresholds, you’ll grow more and more knowledgeable about how to proceed with future orders.