Grow sales across all channels – without increasing risk

Stop e-commerce fraud and delight shoppers with real-time machine learning.

Create accountView integration guide

85% reduction in chargebacks

1 full-time employee focused on fraud

“Sift Science is automated and personalized to us. It helps us continue to be a company people can trust.”
- Katie Rogers, Director, Customer Experience

View case study

Deliver an amazing omnichannel experience

Today's consumers expect buying to be quick and seamless, wherever and however they're shopping.

Sift Science can get you closer to delivering a one-click or one-tap checkout experience – and to dynamically add or remove authentication steps based on a user's risk.

  • Boost conversions

    Confidently accept more good orders and enable a streamlined checkout experience that customers will love.

  • Reduce chargebacks

    Stop fraudulent transactions before they happen – on desktop, mobile apps, and mobile browsers.

  • Reduce manual review

    Save time by automatically blocking fraudsters at scale. No need to dedicate more resources to fraud review.

Leverage the power of machine learning

  • Flexible, adaptable platform

    Segment users based on risk, so you can speed up checkout for legitimate shoppers and add roadblocks for potential fraudsters.

  • Custom models that keep learning

    Send data unique to your e-commerce business, and your machine learning model will grow increasingly accurate and effective.

  • Learnings from e-commerce merchants worldwide

    Our technology learns from the tetrabytes of data Sift Science processes from 12,000+ sites and apps across the world.

  • Built-in automation tools

    It's easy to set up automated fraud-management workflows that integrate with your backend systems.

Fraud prevention tailored to your e-commerce business

Our solution is fully customizable to your data and fraud detection needs. Sift Science can learn from any data you send us.

  • Quantity
  • Price
  • Size
  • Promo code
  • First-time buyer
  • Limited-edition item
View integration guide