To combat fraud, we know that using a single method is not enough. After all, fraudsters are always looking for new ways to commit scams. Therefore, it is necessary to understand the context of each transaction, be aware of all the aspects involved and even evaluate the purpose behind it. With this in mind, ClearSale created the concept of Safety Authentication Score, a score that measures the intention of the person placing the order, based on the data entered by the buyer and the purchase history.
This way it is possible to be sure
That we can trust the validation whatsapp number database sent by the buyer, even when that person is not the owner of the credit card used for payment. The Safety Authentication Score indicates the probability that the person making the purchase has malicious intent.
A multiple authentication factor
allows us to know whether the person making the purchase. Recognizes the transaction made. While the Safety Authentication Score provides input to identify whether it is possible to trust the responses received, indicating the chance of a transaction being fraudulent even after confirmation has been sent.
Since the beginning of 2023, the score. Has been concept created by ClearSale incorporated into orders that used biometrics as one of the layers of the authentication flow. In just a few months. The score was responsible for a 35% reduction in chargebacks suffered for this type of order.
When ClearSale analyzes only orders
That include the message sent to the trusted rd station partners bootcamp: we were there! find out how the event went phone number of the person who placed the order, Safety Authentication helped reduce the relative chargeback by 10%.
In addition, there is a gain in scalability, efficiency in management, reduced friction with telephone contacts and an increased probability of the analyses performed being correct.
How was the Safety Authentication Score created and trained?
Unlike a standard fraud prevention mobile list score. In which the statistical model uses fraudulent transactions as the response variable. The Safety Authentication Score uses. Fraud transactions in which the person confirmed the purchase and was later disputed, seeking a proxy for bad behavior.
The creation of this score illustrates the importance and power of good. Data management through the maintenance of a solid foundation and the ability of the team of excellent. Data scientists to explore the full potential of the knowledge we have about the consumer’s digital purchasing behavior.
Important tool in combating self-fraud
We are seeing a notable increase in self-fraud. Concept created by ClearSale behavior: buyers purchase tickets to a concert and, after enjoying the event. Claim that the tickets were fraudulently purchased by someone else. In retail, we have buyers who receive purchased. Products and then falsely claim that the items were never received. Among other examples.
These dishonest behaviors present a greater challenge in fraud management and these chargebacks are becoming increasingly common. The Safety Authentication Score is critical in cases like these, as it indicates the intent of the purchaser based on the buyer’s history.
