Getting Started
Integrating Signifyd on your online stores enables orders placed on your store to be sent to Signifyd for Guaranteed Fraud Protection. This guide will cover the minimum components to build a successful integration.
Signifyd uses machine learning to detect ecommerce fraud by using hundreds of data points, elastic linking and behavior data. To learn more about Signifyd’s process, visit our how it works page.
Order Flow Steps
Depending on your integration’s constraints, you may decide to submit orders for guarantee either pre or post authorization, and there are a few key differences to pay attention to.
| 1 | Signifyd's device fingerprinting script and mobile SDK collect device and behavioral data as users shop on your online store. This occurs silently without affecting the load times or user experience of pages. Device and behavioral data is sent to Signifyd on page load while additional events are batched and sent via HTTP every 3 seconds. |
| 2 | When an order is placed on your online store using the Create Case API the order details provided during checkout are submitted to Signifyd for fraud review. |
| 3 | Signifyd reviews the order for fraud using machine learning, elastic linking, and data enrichment. |
| 4 | After the order is reviewed, Signifyd notifies your online store of the guarantee decision (approved or declined) through an HTTP POST or webhook. |
| 5 | When your store receives the webhook message, you can trigger automated workflows in your system based on your specific business needs e.g. capture the payment and ship the order or void the payment and cancel the order. |
Updated 6 months ago
What’s Next