Omnyex

SLA Digital

SLA Digital creates new revenue streams for mobile operators and online merchants around the world through seamless and secure carrier billing solutions. SLA Digital provides a carrier billing platform that enables merchants to easily connect with mobile operators; reducing costs, operational risks, and time to market for both parties. As a payment aggregator, identifying and preventing fraudulent transactions is crucial to SLA Digital’s business.

"Twelve months ago, we were looking for a fraud detection solution that didn’t require us to invest heavily in our own machine learning expertise. With transparent pay-as-you-use pricing, Amazon Fraud Detector helped us to easily create and incorporate an effective and affordable new machine learning model into our existing setup."

Richard Fisher, Head of Technology at SLA Digital

Omnyex

FlightHub Group

FlightHub Group makes travel accessible, allowing more people to visit new places and explore new cultures. With over 5 million customers served per year, their goal is to provide travelers with the cheapest flights available, along with optimal itineraries and exceptional customer service. One of the highest priorities for FlightHub's Fraud Prevention team is discerning a value-conscious traveler seeking an affordable airline ticket from fraudsters seeking to buy tickets with stolen credit cards.

"Since introducing Amazon Fraud Detector, our abort rate has dropped below 2% (vs. 5% previously). Additionally, our chargeback rate is the lowest it’s ever been since the company’s inception. The business can now accept more checkouts that our past models would have flagged as risky and turned away. But perhaps the best thing is we’re getting these great results with roughly the same operational costs as before. All of this results in an increased number of bookings and revenues, along with a decrease in losses due to chargebacks."

Drayton Williams, Fraud Investigations Manager at FlightHub

Omnyex

Omnyex

Omnyex is a wholesaler of digital products headquartered in Dubai, operating multiple ecommerce websites including CDKeys.com. Omnyex delivers a trustworthy, reliable, and fast purchasing experience that delivers game keys to customers as quickly as possible so that they can make purchases with confidence and spend more time playing.

"With Amazon Fraud Detector, we reduced fraudulent transactions by 6%. At the same time, we’ve been able to automate checkout fulfillment on more than 90% of the transactions that would have previously been flagged for manual review. Now, we’re manually reviewing less than 1% of our transactions—down from 10%.
 
Since we implemented this service, we’ve seen a significant improvement in our Trustpilot score, and we know it’s a result of this checkout detection automation, as well as additional enhancements we are consistently making on the website. Trust is a big part of our value to customers, so that’s a huge win for our business."

Kevin Cole, Operations Director at Omnyex

Qantas_Loyalty_Logo

Qantas Loyalty

Qantas Loyalty is an innovative data-led business that drives customer and partner loyalty through Qantas Frequent Flyer and Qantas Business Rewards programs. Over 12 million members are rewarded with Qantas Points across a range of categories, including travel, financial services, retail, health and wellbeing, food and wine, and small business services.

"Amazon Fraud Detector has been a great addition to our Fraud detection and mitigation capability. The ability to write custom rules that apply to our unique situation, train ML models on-demand, and seamless integration with other AWS services has enabled us to make decisions quickly and intelligently while retaining complete control of the platform. AWS was very helpful during the proof of concept stage and has been adding new features to the platform inline with Fraud trends."

Mary Criniti, CTO, Qantas Loyalty

duda

Duda

Duda is a professional web design platform for all companies that offer web design services to small businesses. The company serves all types of customers, from freelance web professionals and digital agencies, to the largest hosting companies, SaaS platforms and online publishers in the world.

“The rules-based fraud detection approach we developed for our web design platform has been successful at stopping bad actors, but as our business has grown we recognize the need to continuously improve. Some of the approaches we tried were preventing fraud but came at a cost to our customer experience. We started investigating machine learning (ML) based approaches that would help us balance improving fraud prevention with maintaining a painless customer experience that we could get up and running quickly. Amazon Fraud Detector is exactly what we needed: a cloud-based fraud detection service that would allow us to easily create customized ML models and integrate with our existing approach. We found the process of building and deploying a ML-based fraud “detector” was easy and could be accomplished with our existing resources. With Amazon Fraud Detector we have been able to further improve accuracy and seen a double digit drop in false negatives, enabling us to catch more bad actors. In addition, we have saved countless hours of effort that would have been required to build an ML based approach from scratch and integrate it with our existing solution. We see lots of potential to expand our use of Amazon Fraud Detector to help us provide the secure, painless web design experience that our customers expect.”

Amir Glatt, Co-Founder and CTO at Duda

Vacasa

GoDaddy

GoDaddy is the world’s largest services platform for entrepreneurs around the globe and is on a mission to empower their worldwide community of 19+ million customers and entrepreneurs everywhere by giving them all the help and tools they need to grow
online.

“GoDaddy is committed to preventing fraudulent accounts and we’re continually bolstering our capabilities to automatically detect such accounts during sign-up. We recently began using Amazon Fraud Detector and we’re pleased that it offers low cost of implementation and a self-service approach to building a machine learning model that is customized to our business. The model can be easily deployed and used in our new account process without impacting the signup experience for legitimate customers. The model we built with Amazon Fraud Detector is able to detect likely fraudulent sign-ups immediately, so we’re very pleased with the results and look forward to accomplishing more.”

John Kercheval, Senior Director, Identity Services Group at GoDaddy

Vacasa

ActiveCampaign

ActiveCampaign is a marketing automation provider supporting over 100,000 SMBs around the globe. Our mission is to help growing businesses make meaningful connections and engage with their customers. That's why we built ActiveCampaign—so that growing businesses could have the tools they need to save time, connect with customers, and grow. Our specialties are email marketing, marketing automation, and sales automation.

"In Q1/Q2 2020 we experienced a spike in accounts being used for phishing attacks. As a result, we needed to supplement our existing homegrown solution with stronger transaction data and signals to identify bad actors sooner. A scalable solution based on predictive machine-learning was important to us as a growing business ourselves. Amazon Fraud Detector made it easy to build a model using our own data that accurately identifies account signups that result in phishing attacks. More importantly, we were able to get these results with a very low false positive rate, which means no additional work for our operations staff. Amazon Fraud Detector has a competitive pricing model and we can easily integrate the model into our existing workflow."

Alex Burch, Senior Email Operations Engineer, ActiveCampaign

Vacasa

Truevo

Truevo makes simple, intuitive and user-friendly payment products that allow their clients to receive payments effortlessly, so they can focus on growing their businesses.

“Amazon Fraud Detector has enabled us to drastically improve operations, increase our flexibility to respond to bad actors, and have greater control of systems and processes. Initially, we were exploring an in-house and 3rd party solution. When Amazon Fraud Detector was announced, we immediately changed course. We have been an AWS customer for many years and have great trust in Amazon’s products. With Amazon Fraud Detector, we are no longer bound by the conventional limitations of on-premise or SaaS offerings. Instead, we have the flexibility to adapt a Machine Learning powered service to meet our needs and the ability to use AWS’s rules-only option while easily scaling to full Machine Learning capabilities when needed. This saved Truevo 3-6 months in development! In fact, we deployed our first prototype model within 30 minutes.
 
Overall, we are operating with greater confidence in our ability to detect fraud in real-time. We are better equipped to deploy rule detections when we notice odd activity that we may not fully understand, but need to stop. We are able to respond and adapt to ever-changing regulatory and scheme requirements allowing us to stay on top of our game.”

Charles Grech, COO, Truevo

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