Our software-as-a-service is best for high-growth mid-market and enterprise companies that rely on digital experiences as a critical lever for their business. Our software is purchased by fraud managers, product managers, CTOs, COOs, CFOs, e-commerce managers, and others who want to increase digital trust, reduce fraud, grow revenue, and streamline fraud operations.
Our software makes it possible for online businesses to expand into new markets that were previously unavailable due to fear of risk. It also enables businesses to grow their revenue, while protecting themselves and their customers from fraud and abuse. Specifically, our customers use the Sift Science Digital Trust Platform to reduce payment fraud and chargebacks, prevent account takeover, eliminate fake accounts, and stop abusive content from being posted on their websites and apps. At the same time as reducing fraud, these customers are also able to accept more good orders, improve the user experience by removing roadblocks to conversion, streamline their fraud operations, and reduce manual review.
You don’t need to be technical. Our console is known for having an intuitive user-friendly UI that requires little training. It allows you to grasp the big picture of a user at a glance and dive into each user story. We highlight signals that make someone risky and also good, display a network view to understand connections between the users, and enable you to build custom fraud processes with less code and less cost than ever before.
What distinguishes the Sift Science Digital Trust Platform from other solutions in the market is our Live Machine Learning, which updates and rescores users in real-time based on activity across our global network of 6,000+ websites and apps. Live Machine Learning is comprised of three critical components: real-time learning, proactive scoring, and rescoring. Together, they provide the ability to accurately detect and prevent fraud before it happens on websites and apps – even if it’s a brand-new type fraud attack that hasn’t been seen before. We offer a full suite of fraud and abuse prevention products in one place.
15,000 billable events = $1,000/ mo
45,000 billable events = $2,500/ mo
100,000 billable events =$5,000/ mo
225,000 billable events = $10,000/ mo
For more info: siftscience.com/pricing
Yes, we offer a 30-day free trial.
Online documentation, webinars, integration guides, guidance from fraud experts and integration experts. It's all included, free of charge.
It typically takes a day of a developer's time to install the software.
Free support, plus a premium support option.
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