Marketing & Affiliate Fraud
16%
30%
$7.2 Billion
Merchants and financial services companies often suffer a double-loss in marketing and affiliate fraud. First, they pay out undeserved commissions to marketing channels and affiliates that have been specifically set up to defraud them. Second, any products or services that have been sold through those distribution points are paid for using stolen cards and identities, which further increases losses and kicks detection out by an additional 45+ days. Using a combination of thoughtful controls, real-time market channel intelligence, and anomaly detection, Fraud.net can help reduce fraud losses quickly.
Recommended Products & Solutions
A user-friendly case management portal that allows you to set your own rules and review transactions efficiently and accurately.
Machine learning models are expertly engineered with the nuances of your business and industry already built in.
Visualize your real-time data to extract actionable insights, isolate risk and improve your business processes.
Shield serves as your early warning system by detecting malicious bots, fraudsters and other bad actors as they arrive on your site.
Monitor third-party data sources to benchmark your company’s performance including risk intelligence on payment methods, dark web data, IPS vulnerabilities and marketing channels.
Confirm users credentials through login scoring, multi-factor authentication or out-of-band applications.
The ROI Killer
With 78% of marketers citing click fraud as their top concern, and companies often paying for malicious actors to visit and defraud them, a combination of session, transaction and outcome data, combined with anomaly detection, machine learning and enterprise analytics can bring these schemes to an abrupt halt. Regain your full marketing budget and boost your profits simultaneously.
The Silent Marketing Plague
The total size of the ad and marketing sector’s fraudis breathtaking. Methbot, an ad fraud network busted in December 2016, had over 500,000 IP addresses and was consuming 300m impressions daily, costing advertisers up to $5m per day. Those edge cases happen more frequently than we’d like to think. Contain the problem with advanced analytics and machine learning.
Early Adopters Will Win Big
As computer processing power has increased, so has the ability to analyze large data sets. It is now possible to successfully analyze billions of transactions, account openings and other financial events, in real time and at scale. Fraud.net’s AI team specializes in techniques known as ‘deep learning’ as artificial neural networks have many layers of simulated interconnected neurons.
Early AI adopters have higher sales growth and profit margins — and the performance gap with the laggards is expected to widen further.
