Quickly detect fraudulent transactions on your WooCommerce store

It is unfortunate, but true, that fraudulent transactions fuel a large sector of the eCommerce industry. When a fraudulent transaction is made via your online store, it is of paramount importance to act swiftly to (a) ensure your customers aren’t affected and(b) minimise hassles for you, as the store owner.

WooCommerce Anti-Fraud is designed to help you pick up fraudulent transactions and catch them as they happen – by scanning and providing a score for each completed transaction made via your online store, based on a set of advanced scoring rules.

This WooCommerce plugin is ideal for store-owners who want to:

Automatically block or pause fraudulent orders.
Easily view risks and warnings associated with each order
Receive notifications when a fraudulent or unsafe order is placed.
Reduce store management time by easily filtering out illegitimate orders.
Integrate minFraud® services by MaxMind on their online store.

Check the ‘risk’ of each order

WooCommerce Anti-Fraud automatically assigns a score out of 100 to each order. This is called the risk score. The higher the number, the more likely the order is to be fraudulent. Examining the risk score allows you to quickly evaluate the potential risk level of the transaction and act accordingly. A risk score and advice, given for an order via the WooCommerce admin.

Underneath the risk score, the user can view warnings associated with the order. The advice provided is related to the rules in place (for example, if a customer’s IP address doesn’t match the billing country). The higher this number is, the more likely it is that the order is potentially fraudulent.

Automatically cancel or pause suspicious orders

If a potentially fraudulent transaction is detected, the WooCommerce Anti-Fraud can be configured to perform one or more of the following automated actions:

Cancel the order
Hold the order
Notify the administrator via email, without changing the order status

In the plugin’s settings, you can change when these actions are triggered according to their risk score. For example, you may only want to automatically cancel orders if their risk score is higher than 90.