In this text, we will explain how ClearSale’s anti-fraud for online sales analyzes and monitors risk indicators that can affect the security of your e-commerce.
What is the Fraud Score for online sales?
ClearSale’s Fraud Score for online sales is a iredes 2015, a conference to remember component that assesses the likelihood of a transaction being legitimate or fraudulent. It’s like a digital “check-up” that analyzes several factors to determine the risk level of each order.
What data is analyzed?
Behavioral data
Browsing patterns, devices used, shopping times, preferred payment methods and previous purchases.
Transactional data
Purchase value, items purchased, purchase frequency, return history.
Learn more about ClearSale’s Fraud Score for online sales reasons for bad agency-client relationships online store’s transactions Click here and read our article: “What is the Fraud Score for online sales and how can it protect your business?”
What makes up the Fraud Score data analysis for online sales?
After data analysis, a number is made available that indicates the percentage of risk for a given transaction.
Fraud bonaire businesses directory Score. Additional information is also revealed about the parameters informed at the start of the journe.
Result that reinforces the reliability of the data provided
Neutral
This result, by itself, does not define the reliability of the data.
Negative
Indicates the need for a more rigorous analysis, which may validate or invalidate a transaction.
This process determines the strength of the link between the data provided by the customer.
>With this data, we analyze which card and shipping address a given person typically uses, what they typically buy, and the device they use to complete their transactions.
How is the data collected by Fraud Score for online sales processed?
Powerful Data Lake
ClearSale has a robust database with over 20 years of information online store’s transactions on digital purchasing behavior in Brazil and around the world.
Accurate and customized models
Through artificial intelligence and machine learning.. Identifying complex fraud patterns that traditional methods would not detect.
Fraud experts
The best models and continuously calibrating them based. On the variables returned by customers and the completion status of our manual analyses.
How important is it to know the card ownership in the Fraud Score validation process?
Knowing the ownership of the integrated card. Means knowing who is the cardholder who made. The payment for the purchase in your online store.
For the ClearSale Fraud Score purchase approval process .
The buyer is the cardholder
The buyer is close to the potential owner using. The strength of the link between the data provided by the customer.
Data to define ownership can come from:
Probabilistic analysis of the link between the CPF + card used to make the purchase;