CONTACT US
info@bidaiondo.com
Many aspects of the world economy are beyond the control of corporations. There is little they can do to curb inflation, unblock supply chains, or stop a war. But they can optimize the way they run their business, and a new Stripe report finds that one of the biggest drags on growth is something businesses do have power over: e-commerce fraud.
Combining data from billions of transactions across Stripe's network between 2019 and 2021 with a survey of more than 2,500 businesses across 9 countries, the report illustrates global patterns of fraud across all markets and business models. It details the growing burden global businesses face from online commerce fraud, the difficult decisions they must make, and the steps they can take to defend themselves and protect their profits. Among the main conclusions are:
Nearly three-quarters of companies have redirected engineering resources, and more than half have restricted expansion plans, due to fraud-related issues.
Subscription companies are the ones that fight fraud the most. 72% believe they will lose more money to fraud in 2022 than in 2021.
The volume and sophistication of fraud varies dramatically between markets, requiring tools that are tailored to local fraud patterns. France has nearly twice the fraud rate of Germany, while Singapore has half the rate of the Asia-Pacific region.
“Fraud doesn't slow down when the economy does. It's vital that businesses maximize the value of every dollar by turning away as many fraudsters as possible without blocking good customers, and this report shows them how they can do that," said Will Megson, product manager for Stripe Radar, Stripe's leading product. Stripe fraud prevention.
More fraud, more options
More than half of the companies surveyed indicated that fraud is a growing concern. The current changing risk environment has had a particular impact on companies offering B2B SaaS products and B2C subscriptions. These businesses are more susceptible to fraud, the report explains, because "they are most likely to be well-known brands, making it easier for fraudsters to resell the stolen goods or services (such as buying a digital subscription with a credit card). stolen, and then sell it at a lower price).»
Business leaders face difficult decisions about how to respond. The more they try to prevent fraud, the more likely they are to block legitimate charges. The report identifies the optimal sensitivity of a fraud model based on a company's margins: the higher the margins, the less sensitive the model should be. Businesses can also mitigate the risk of fraud through a thorough manual review of charges made, but this requires a lot of effort on a human level, something businesses often can't afford.
Improvements to Stripe's fraud prevention tools help businesses maximize revenue
In the last year, Stripe has invested substantially in its fraud prevention tools to help businesses maximize resources in a time like the current economic downturn. In 2021, Radar managed to reduce the percentage of incidents by 40% and the new improvements introduced this year are helping companies such as 7-Eleven, AdBlock, the British Council, Deliveroo or Kickstarter, to save money, generating income and freeing up resources that they can dedicate to the main activities of the business.
Regular updates to Radar's machine learning models help block more fraud attempts while allowing more good customers to trade. Stripe estimates that the improvements made in May block an additional $40 million in fraud and recover an additional $70 million in revenue for users each year, on top of the billions of dollars Radar has already saved them.
Adblock, which helps more than 100 million users protect their privacy and control their online experience, is using Radar and Stripe Checkout to accelerate its global expansion while protecting its transactions.
E-commerce is constantly evolving, requiring professionals in all areas involved to stay up-to-date and abreast of consumer trends and behavior. To contribute to this from a logistics perspective, Correos Express, the express parcel delivery subsidiary of the Correos Group, has presented the third edition of its annual study "E-commerce Trends 2025-2026." The report was prepared based on interviews with consumers and companies in the se...
Amazon has just launched its low-price product platform, Amazon Haul, in Spain. Already available both on the website and through the marketplace app, Amazon Haul offers thousands of products across various categories, including fashion, home, and lifestyle, for €20 or less. Amazon Haul: Same Experience at Lower Prices The marketplace giant launched Amazon Haul in the United States in November 2024 and subsequently introduced it to other mar...
BIDAIONDO SL, as the party responsible for the website www.bidaiondo.com, uses its own operating cookies and those of third parties of an analytical nature to allow the use of the website, analyze our services and show you information related to your preferences based on a profile drawn up from of your browsing habits (for example: pages visited). Please bear in mind that, if you do not activate some types of cookies, such as operational and analytical cookies, your experience of using this website may be affected. You can obtain more information and configure your preferences in the CONFIGURE option that appears below, you can reject cookies in the REJECT AND CLOSE option or accept all cookies and continue browsing in the ACCEPT AND CLOSE option.
Data privacy seems important to you, and it is to us too. We store cookie data for 13 months. If you want to know more, you can visit our pages Privacy Policy y Cookies policy. Do you know what cookies are? Cookies are files that are used by virtually all websites. When browsing our page, they are installed in your browser or device to ensure that the website works correctly and store information about your visit. The data provided by cookies treat the user anonymously and in no case do they store personal information.
The data collected by the cookies we use are:
- Addresses IP
- References of visited pages
- References of downloaded files