How to Use Customer Data to Prevent Ecommerce Fraud?

Customer data is everything. You can’t run a business without it, and the more you learn about your customers, the better you can serve them. But customer data isn’t just for marketing and sales anymore: it’s also suitable for fraud prevention!

You may have heard this term bandied about in the news, but you’re not quite sure what it means. So, let’s break down the definition: “ecommerce” refers to online shopping. Fraud happens when someone makes an online purchase and then tries to claim a refund or chargeback with their credit card company.

The customer may be a friendly fraudster who doesn’t intend to defraud the business but doesn’t want to pay for the product—or they may be an actual fraudster who deliberately uses a stolen credit card number or identity information like birth date and social security number (SSN) to make purchases online.

Why Does Ecommerce Fraud Matter?

Ecommerce fraud is a growing problem that costs businesses billions of dollars annually. Fraud affects the bottom line of businesses and can even cause irreparable damage to a brand’s reputation.

For example, if you’re shopping online and see an item that you like at an attractive price, only for it to turn out not to be real once it arrives in the mail—you’ll likely become more cautious about ordering items from other sites in the future. This kind of effect has ramifications for both consumers and retailers. Unfortunately, many different types of ecommerce fraud could happen on your site or store, which can be hard to prevent.

The goal is to minimize the threat of these frauds by leveraging user information. Uncovering patterns improve your automated systems so you lower the risk of future costly problems.

The Role of Customer Data in Preventing Ecommerce Fraud

Your customers’ data is an invaluable resource in preventing ecommerce fraud. Customer data can be leveraged to detect fraud and verify identities, which leads to a more personalized approach to fraud prevention. Some of the more common methods include:

Customer data can be used to verify identities.

Identity verification is the process of confirming the identity of a person or entity. It’s used in many industries, including banking and finance, healthcare, government, gaming, and more.

You can use customer data to verify your customers’ identities by integrating with a third-party identity verification service that provides robust authentication options such as SMS text messages and phone calls. You can also compare credit cards against addresses, use strong passwords, and ask for CCV numbers.

Customer data can be used to detect unusual behaviour.

If you think about it, every time a customer makes a purchase on your site, they’re exhibiting some level of behaviour. They’re either buying something or they’re not. The same goes for the information they enter into their account when purchasing.

The key to using this data correctly is knowing what normal and abnormal looks like, so you can detect various suspicious activity before it becomes fraudulent.

To determine what is considered “normal” or “abnormal,” you need to first understand how fraudsters operate and then compare their actions against legitimate customers’ actions. Fraudsters tend to exhibit specific patterns that are easy to identify once you know what they are doing.

Customer data can be leveraged to create personalized fraud prevention strategies.

Customer data is a powerful tool for preventing fraud. By leveraging your customer’s behaviour, you can create customized, highly effective fraud prevention strategies that increase your conversion rate and decrease incidents of fraud.

For example, if someone places an order from a new location, use the customer’s IP address to determine whether it’s likely that they’re located in that area or if the order is being placed by someone else from far away.

If the latter is true, consider flagging this order as potentially fraudulent and verifying its legitimacy before fulfilling it (and possibly declining it).

Tips for Using Customer Data to Prevent Ecommerce Fraud

There is no single best method for stopping ecommerce fraud from hitting your online store. Most of the time, you’ll want to integrate numerous methods into a unified strategy that lowers your risk to the absolute bottom-of-the-barrel chance you’ll be taken advantage of in the future.

However, some general tips include:

Use multiple sources of customer data.

With fraud prevention, you can use customer data from various sources to detect fraud and prevent transactions before they happen.

To combat online fraud, it’s essential that you take advantage of multiple sources of data to create customer profiles and determine what’s normal when it comes to how customers interact with your website.

Using this information, you can create personalized fraud prevention strategies based on individual purchasing behaviour or geography.

Implement real-time fraud monitoring.

Real-time fraud monitoring is the best way to prevent fraud. Real-time fraud detection can identify suspicious behaviour and prevent it before it happens. This can be done by analysing your customer data, including purchase history, shopping patterns, geographic location, and more.

Use customer data to create customer profiles and detect deviations from the norm.

You’ve probably heard that one of the best ways to detect fraud is to look for “abnormal” activity. But what exactly does that mean?

A customer profile is a precise snapshot of your customers’ past behaviours and history with your company. These profiles can help you identify fraudulent activity patterns, whether a single transaction or an entire series of purchases. By creating customer profiles and comparing them against each other, you can spot anomalies that may indicate fraud.

Don’t Forget to Train Your Team!

Customer service team members have a crucial role in preventing fraudulent activity. As fraudsters are becoming increasingly sophisticated, your customer service team needs to be able to identify suspicious patterns and report them back to you.

It’s not enough for your customer service team to be aware of the necessary steps. They also need training on recognizing and handling suspicious activity or behaviour from customers and merchants alike.

Fraudulent activity often requires that individuals go through several different stages before completing it successfully, so your customer service team must be skilled at identifying these stages as well as pointing out any potential areas where there may be room for improvement within your internal processes. An excellent way of doing this is by conducting regular training sessions with staff members who work closely with shoppers (e.g., email support).

How We Can Help

At OPMC, we build customized plugins, extensions, and apps for various online ecommerce platforms. Whether you are using BigCommerce, WooCommerce, Shopify, or Magento, we are happy to build custom solutions to ensure your online store is better protected – including with the use of customer data.

One such solution we have developed is our Anti-Fraud Plugin for WooCommerce. This fully automated tool learns from the customer information and behaviours happening with your online store. It can block IPs and geographic areas or stop orders from continuing if it detects fraudulent activity.

Automated tools save you time and money from dealing with the financial and customer service headache of ecommerce fraud.

Conclusion

Customer data is a valuable tool that can help businesses prevent ecommerce fraud. It allows them to verify the identity of their customers, detect unusual behaviour and create personalized fraud prevention strategies. Online stores can protect themselves and their customers from fraudulent activity by using customer data effectively. Pick up our plugin today and elevate your security so you can grow without dealing with continual financial fraud.

Download WooCommerce Fraud Prevention Tools

WooCommerce Anti-Fraud and Security for WooCommerce prevent your WooCommerce stores from financial frauds.

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