“I would say Riskified changed our lives.”
Eileen Shulock, VP eCommerce at Kirna Zabête
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Ecommerce revenue for fashion merchants has been growing at an annual average of 17.3% over the last six years. In 2016 it was worth $73 billion in the US alone, second in sales value only to consumer electronics. But this rapid growth raises the stakes on fraud detection for fashion retailers.

When it comes to accurately vetting fashion orders for fraud, there’s no substitute for experience. Riskified provides fraud management services to some of the world’s leading fashion brands, including Fortune 500 companies, and is familiar with the intricacies of safe and fraudulent online shopping patterns within the industry. We analyzed our data to compile a report for fashion retailers, providing insights and best practices for detecting fraud while maximizing online revenue. In this post, I share some of the findings that appear in the full report

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It seems like every tech company is using machine learning these days. Or, at the very least, talking about it. It’s a cutting-edge concept that’s getting a lot of buzz. But what does it really mean? In this post, I’ll first explain the basics of what the term means, and then how Riskified uses machine learning to drive accuracy when vetting orders for fraud.

How does Netflix know what I want to watch?

Why is Netflix so popular? Yes, they have a great selection of old movies, and their original content keeps getting better. But one of the features that really sets them apart from the competition is the accuracy of their viewing suggestions, tailored to your taste based on what you’ve watched previously. Sometimes it feels like they know exactly what you want to watch. How did they do it?

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One of the biggest challenges eCommerce retailers face is avoiding the rising number of chargebacks resulting from CNP fraud. In a 2016 study, online merchants reported that around half their fraud-related revenue loss was a direct consequence of chargebacks.

Many of these are the result of clear cut fraud – where stolen credit card information is used to make a purchase without the authorization of the cardholder.  But an increasing number of chargebacks are the result of ‘friendly fraud’, when an individual disputes a purchase, despite having authorized and received it.

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Global online retail sales are projected to exceed $2 trillion in 2017, and double to $4 trillion by 2020. Despite this rapid growth, selling online is not without its challenges, and eCommerce merchants are increasingly seeing their hard-earned revenue fall victim to CNP fraud and the associated chargebacks. A 2016 study confirmed this, with online merchants reporting that chargebacks accounted for much of their fraud-related revenue loss.

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This Mother’s Day is projected to bring in $23.6 billion in revenue, easily clearing last year’s record of $21.4 billion. For many eCommerce retailers, optimism about the surging order volume over this major shopping holiday is tempered by fear of CNP fraud. As Mother’s Day approaches, we analyzed historical order data to provide eCommerce merchants with tips and insights to help streamline the fraud review process in the days leading up to this lucrative opportunity.

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It’s expected that by 2019 more than 60% of total global online retail sales will be made via mobile devices. According to the 2017 Global Fraud Survey, while more than 80% of merchants support mobile shopping, only 52% actually track fraud rates by channel. To make the most of this expanding segment and account for the growing share of mobile shoppers, online retailers will need to adapt CNP fraud management processes.

Riskified has extensive experience preventing CNP fraud across channels. We have processed millions of mobile orders for online businesses, including Fortune 500 companies. By analyzing our data, we determined how mobile fraud compares to desktop and compiled our findings in a special report. The report provides retailers with tips and actionable advice for adjusting fraud management process to effectively handle mobile transactions without compromising the shopping experience.

Our design team has created the following infographic, which offers a visual sample of some the insights covered. For more information on fraud prevention best practices, download a free copy of the full report.

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Mobile commerce (mCommerce) is quickly becoming the first choice of consumers across the globe, with over 2 billion smartphone and tablet users expected to make at least one mobile transaction in 2017. Thanks to its appeal to young shoppers, mobile has now surpassed desktop in terms of eCommerce transaction volume. And with consumers in emerging economies increasingly accessing the internet via mobile devices, mCommerce is likely to become the preferred digital shopping method of the future. According to forecasts, more than 60% of total global online retail sales will be made via mobile by 2019.

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Direct video surveillance of shoppers has long been the holy grail of fraud prevention, and today–after years in development–Riskified is thrilled to unveil the latest advent in fraud-prevention technology: ‘Cameo’. Cameo is a proprietary fraud detection technique powered by behavioral analysis of online shoppers, which can automatically determine the legitimacy of an order with extreme accuracy.

Early trials of Cameo have yielded exciting results, and we expect this surveillance data will allow us to dramatically improve our merchants’ approval rates while nearly eliminating CNP fraud.

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We usually think of online fraudsters as liars – that the success of their operation depends on how convincingly they can pose as the legitimate card holder. But CNP fraudsters’ hands are forced when it comes to revealing their location, and ultimately they have to give their real shipping address when purchasing tangible goods, or else they won’t receive them.

Riskified has processed millions of orders across online verticals, from which we’ve drawn enormous insight into the ways fraudsters use nontraditional shipping methods to obscure their physical location in order to receive stolen goods. We have drawn on this experience to compile an eBook detailing these classic tricks, as well as tips for distinguishing fraudulent orders apart from safe – even if unusual looking – ones.

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The online gift card market is thriving. Ecommerce sales of gift cards are increasing by 29% YOY, and by 2018, the US gift card market is expected to be worth $160 billion, driven primarily by surging digital gift card sales.

Riskified’s work with Fortune 500 retailers who sell gift cards, as well as leading gift card-only merchants and P2P secondary gift card marketplaces, has afforded us enormous insight into the CNP fraud challenges facing gift card sellers. We have drawn on this experience to compile a report sharing data about fraud patterns in online gift card sales, and outlining best practices for anyone selling gift cards online. In this post, I share a few of the key findings that appear in the full report:

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