Registration fraud refers to any customer account created with fraudulent information, a practice that is becoming increasingly difficult to detect as attack techniques rapidly evolve.
Actually, there are a large number and variety of cases, from individuals trying to abuse sales promotions and discount coupons, to highly distributed and sophisticated attacks that use fake or stolen identities, making them difficult to effectively detect and stop.
Upgini uses several user IDs, such as phone number, IP address, and email, to compare the behavioral profile of users for each ID. This helps to find contradictions and increase the quality of your own fraud detection system. Upgini adds 5 to 10 percentage points of accuracy to the average fraud detection system.
Search for new relevant features for your custom Credit Fraud prevention system:
If you don't have your own Registration Fraud prevention system or you don't have a training dataset, you may use the ready Upgini Fraud Score. This is an informational tool that helps you gauge the risk involved with an registration applications before processing. This is done by identifying traits and historical trends associated with suspicious behavior and fraudulent registrations.
Ad fraud is any attempt to defraud advertisers for financial gain. Scammers often use bots to carry out ad fraud. Scammers could generate fake leads for you that could never be contacted.
Upgini can help you arbitrage leads from external systems. It can score leads and determine which lead is fake, so you don't waste time and money contacting it.
Search for new relevant features that could help you determine whether a lead is fake:
If you don't have your own Fake leads detection system or you don't have a training dataset, you may use the ready-made Upgini Fraud Score. This is an informational tool that helps you gauge the risk involved with leads from ads before processing them. This is done by identifying traits and historical trends associated with suspicious behavior and fraudulent contacts that you receive from ads.
There are several methods that competitors may use to attack each other:
These attacks can result in a drop in sales.
Develop an AI service that will check every order and every review for competitor attack.
Upgini lets you enrich your systems with new relevant external data that may help you to identify competitor attack by IP-address, user geo position or email: more than 7,000 features are available.
Orders without pickup occupy a significant share of orders in online stores.
Because of this, the store incurs extra logistics costs, does not receive profit from potential sales of blocked goods.
Score every postpaid order on the probability of pick-up. For orders with a high probability of non-pickup, require prepaid.
Upgini lets you enrich your systems with new relevant external data that may help you score orders by IP address, user geo position, email, or phone. More than 15,000 features are available to predict whether a customer will pick up an order or not.