Fraud prevention and business intelligence tools for e-commerce
Payment fraud prevention is expensive. Not only do you have to pay for chargebacks and suffer from lost business due to false positive, but also your business is hampered by ever-growing manual review costs.
“Here-and-now” exhaustive user profiling data
Understand every online buyer
Nethone’s Profiler gathers over 5 000 attributes about every single end-user session throughout your direct channels. It exhausts “here and now” information potential by exposing the lowest level details regarding each user's device, network characteristics, and raw behaviour associated with keystrokes, mouse and accelerometer. Consequently, you will be protected from any emulation, virtualization, anonymization and spoofing attempts.
Only transactional data is gathered today
We have found that, on average, merchants in the e-commerce sector are using less than 100 variables for preventing / detecting fraud. The more relevant data you have at your disposal, the more accurate you can be when dealing with fraudsters? The more accurate you are, the fewer false positives and chargebacks.
Add more data to our data-hub
When an online buyer submits their purchase, be it post-auth or pre-auth, your back-end system transmits transactional data to Nethone through our API. Our hub gathers data from Nethone’s Profiler, the merchant and a long list of specialized TPPs. This gives Nethone a 360⁰ view on each online customer. To make the best decision possible.
Your current solution is not flexible or powerful enough
Existing fraud prevention solutions are not able to take into account critical information such as “here-and-now” profiling data including but not limited to raw behavioural streams, web events or a large subset of third-party data. This is by default available to all our merchants, only fingertips away thanks to our REST API.
Machine learning & other algorithms
Pull more information thanks to our "white-box" ML
We are obtaining 5000+ variables about every transaction attempt, the only method capable of taking advantage of all that data effectively is Machine Learning. At Nethone we are obsessed with constantly pushing the technological forefront by creating custom procedures of both treating our unique data sets, but also deriving understanding of why a certain recommendation has been made.
You are still using basic heuristics and manual rules sets
Your teams are currently building rules to prevent fraud. Although heuristics can be effective in the short term, they generate false positives over the long term. Since fraud changes all the time, it’s necessary to use decisioning techniques which adapt quickly.
Assigned Data Scientist
Have access to human ingenuity via a dedicated Data Scientist
We believe that a machine alone is not yet capable of solving fraud, this is why each of our merchants has a dedicated Data Scientist at their disposal who is responsible for building, maintaining and calibrating the ML predictive models which are protecting them from fraud. No more calling customer service or being left on your own.
You only get access to customer support
You don’t get access to customer support with us, you get access to the Data Scientist who is responsible for your decisioning logic. We believe that giving you access to the best analysts in the world will allow your fraud prevention team to create ground-breaking fraud prevention strategies which will move forward fraud prevention, unlocking new trajectories of growth while keeping risks at a desirable level.
Intuitive panel by Nethone
Visualize and manipulate all your fraud-related data
We automate what is automatable, liberating lots of time of your manual review teams. Thanks to our UX-friendly back office panel they are better equipped to fight the non-trivial cases that require their attention and experience.
You have access only to basic information
The panel you have typically displayed less than 100 metrics. This gives you a limited view of what is happening within your online channels and gives your manual review teams insufficient information to make an informed decision. Manual review is expensive, we believe that giving the best tools to your teams is important.