Sift ‑ Fraud Protection

Sift ‑ Fraud Protection

von Sift

Prevent fraud, automate decisions, increase conversion

5.0 von 5 Sternen(1 Bewertung)

Stop chargebacks

Accurate real-time risk assessments allow you to block fraud and automatically capture good orders - increasing revenue for your business.

Accept more orders

Sift’s accuracy reduces false positives, eliminating customer insult and unlocking frictionless shopping experiences that drive conversion.

Expand your business

Sift’s global network of customers and adaptive, real-time machine learning keeps you two steps ahead of fraud so you can grow without risk.


Über Sift ‑ Fraud Protection

Sift powers ecommerce leaders of all sizes to unlock revenue without risk. Some of the fastest growing merchants like Wayfair, StitchFix, Harry’s, and Everlane rely on Sift to stay competitive and secure.

The Sift app for Shopify provides instant access to our platform, so you can reduce chargebacks and accept more orders—with little to no developer time required. When you enable the extension, account creation, login, and order data will be automatically sent to Sift. With added insights from our global data network, our machine learning models deliver highly accurate risk assessments that enable you to confidently block and accept orders, or route cases to manual review based on your business processes.

Sift fuels ecommerce growth through industry-leading technology and expertise, an unrivaled global data network, and a commitment to building long-term partnerships with our customers. Many of the fastest growing businesses from digital disruptors to Fortune 500 companies rely on Sift to prevent payment fraud and provide frictionless shopping experiences that drive top-line revenue growth.

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Preisgestaltung

Kostenlose Installation

Starting at $500 / month

5.0 von 5 Sternen

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Aktuellste Rezensionen

Mallet London

After a small bit of manual work in the beginning the sift console learns exactly the type of customer to block or put on hold, this app has saved us tons of £ and alerted us to fraud we would have never seen coming.