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Acapture, Sift Science to Bring Merchants World-Class Fraud Products

Enabling merchants to achieve higher conversion and authorization rates in real-time by reducing fraud, false positives and operational costs.Amsterdam, The Netherlands - April 4, 2018- Acapture, a global, omnichannel payment processor has partnered with Sift Science, a machine learning...
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- Acapture, a global, omnichannel payment processor has partnered with Sift Science, a machine learning company that protects businesses from fraud and abuse. Using the smartest technology for fraud management in their joint effort to make online experiences smoother and safer, the two companies form a powerhouse for fighting ecommerce fraud and helping merchants maximize their revenue.

The partnership creates a single platform capable of managing every type of ecommerce fraud facilitated by Sift Science. Acapture's in-house global acquiring solutions offer access to payment data and insights into the payments journey of the end consumer. This data paired up with Sift Science's cutting-edge machine learning models make the ultimate fraud management solution to protect merchants in the fast-paced fraud landscape.

" " said Rudolf Booker, Acapture CEO.

Ecommerce fraud has always been merchants' top of mind challenge that keeps on disrupting them from their core business, preventing them from making the most out of their incoming traffic. Due to the limitations on rule-based applications, many genuine transactions are rejected, resulting in legitimate customers being disappointed by their shopping experience. This rigid fraud prevention approach not only has a negative impact on conversion rates, but also on the brand's reputation especially nowadays, with social media platforms giving consumers a powerful voice.  Acapture's partnership with Sift Science aims to reduce the number of genuine customers being blocked and optimize conversions using customized, data enriched machine learning models. Merchants can ultimately focus on scaling-up their business and not be distracted by fraud.

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Launched in 2015, Acapture is a new, modern, international payment service provider focused on maximizing the revenues of merchants around the globe. Acapture is affiliated to Payvision, one of the world's fastest-growing global card acquiring networks. Licensed as a payment institution by the Dutch Central Bank, Acapture combines with Payvision to help merchants grow their business globally. This is done through a complete data-driven omnichannel payment solution, capable of managing a payment at every stage, from checkout to fund collection to settlement.
Acapture's system features SlicePay for simplified allocation of funds to multiple parties from a single transaction, data science management for improved authorization rates, the best of human and machine intelligence platform for fraud detection and conversion optimization a one-day integration using one RESTful API, flexible, consolidated reporting, a streamlined reconciliation process, global card acquiring and the ability to handle 80+ of the most popular alternative payment methods and 150+ transaction currencies.
Together with Payvision, Acapture, was awarded Best PSP at the 2017 MPE Awards in Berlin. Find out more on www.acapture.com and follow Acapture on LinkedIn, Twitter, Facebook, YouTube and Corporate blog. 
For further information, please contact: Alina Geosanu | Corporate Communications Coordinator;
e-mail: alina@payvision.com

Sift Science is a machine learning company that fuels business growth by protecting businesses and their customers from all vectors of fraud and abuse. Global brands such as Twitter, Airbnb, Yelp!, Shutterstock, Jet.com, Indeed and Wayfair rely on the Sift Science Digital Trust Platform for access to a global network of fraud data, 16,000+ fraud signals, and our unique ability to detect and prevent fraud in real time. Our platform was designed in accordance with industry best security practices, including SOC 2. To learn more, visit siftscience.com.

Find out more on https://siftscience.com/. For further information, please contact: Kristina Richmann, Pan Communications (for Sift Science): Kristina Richmann <krichmann@pancomm.com>



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