Our Origins
Before the internet, Grandpa Moshe never turned customers away. Today’s online merchants often face tough choices during sales, risking the loss of lifelong customer value through inadvertent rejections. At FUGU, we merge tech and merchant expertise with machine learning to empower online businesses for maximum returns.
Covering a wide variety
of fraud types
Growing competition and online traffic costs, force merchants to adopt frictionless checkout experiences, limiting their ability to accurately verify transactions before the payment. The rise of advanced fraud types that are simply undetectable at payment phase, requires adoption of new continuous post-payment fraud mitigation architectures.
Traditional fraud solutions base their risk score on information available at checkout. This means valuable information revealed after the payment is ignored before actual risk even begins, resulting in significant business losses in the form of false declines and customer insults. FUGU is the first to continuously monitor transactions after checkout making sure no payment is declined for the wrong reasons.
The case of friendly fraud is the most challenging for fraud solutions due to the fact that that no stolen information is involved and in many occasions fraud is only triggered after transaction was approved. FUGU is the first solution factoring post payment transaction changes, customer sentiment & cooperation as well as data coherency indicating / implying a probable case of friendly fraud
FUGU’s continues risk scoring solution is the only one who adjust a payment risk score based on a related following payment. This core capabilities protects merchants from a sudden abnormal single account fraudulent activity.
FUGU’s continues graph detection ana;ytics is capable of adjusting an entire cluster of related payments whenever a new suspicious node or an anomalous activity is recognized in the graph.
FUGU’s post-payment monitoring emerges as a vital tool for merchants to identify abnormal policy abuses as return fraud wardrobing even when performed via multiple accounts that affects the score of current, past and future payments the minute such an abuse id detected.
Covering a wide variety
of payment types
New payment models change payments from a single handshake at POS to a relationship happening post payment currently it is left unmonitored and provides no real-time feedback loop to future decisions.
FUGU’s core technology is designed to monitor, analyze and alert for suspicious activity along a stretched customer journey such as a delayed / split payment journey. Cases of account takeovers, partial defaults are monitored and affect future payment scoring.
FUGU is the only service able of a continues global risk analysis of chain of single payments analysing the user behaviour along the subscription lifetime, alerting on potential disputes and gathering customers consent when required
FUGU monitors the customer behaviour along the repayment schedule cross referencing it with any support interactions
that may result in payment default.
51%
of friendly fraud blocked
42%
reduction in false declines
61%
of chargebacks recovered
74%
reduction in
labor cost
Our Origins
Growing competition and online traffic costs, force merchants to adopt frictionless checkout experiences, limiting their ability to accurately verify transactions before the payment; The rise of advanced fraud types that are simply undetectable at payment phase, requires adoption of new continuous post-payment fraud mitigation architectures.
Covering a wide variety of fraud types
Growing competition and online traffic costs, force merchants to adopt frictionless checkout experiences, limiting their ability to accurately verify transactions before the payment. The rise of advanced fraud types that are simply undetectable at payment phase, requires adoption of new continuous post-payment fraud mitigation architectures.
Covering a wide variety of payment types
New payment models change payments from a single handshake at POS to a relationship happening post payment currently it is left unmonitored and provides no real-time feedback loop to future decisions.
FUGU’s core technology is designed to monitor, analyze and alert for suspicious activity along a stretched customer journey such as a delayed / split payment journey. Cases of account takeovers, partial defaults are monitored and affect future payment scoring.
FUGU is the only service able of a continues global risk analysis of chain of single payments analysing the user behaviour along the subscription lifetime, alerting on potential disputes and gathering customers consent when required
51%
of friendly fraud blocked
42%
reduction in false declines
61%
of chargebacks recovered
74%
reduction in labor cost