Connect BigCommerce with Signifyd to automate fraud screening, cut chargebacks, and approve more good orders using risk scoring and decisioning that fits your checkout flow.
• BigCommerce order data is sent to Signifyd via API/webhooks on order creation and updates, including customer identifiers, line items, totals, billing and shipping details, and discounts.
• Payment method attributes and transaction references are mapped where available so risk decisions can be associated with the correct authorization and order state.
• Signifyd returns a decision payload that is written back to BigCommerce as order metadata and, where supported, status or tag-like markers used in operational workflows.
• Decision changes and case updates are synced on subsequent webhooks, keeping order history aligned with Signifyd case state without duplicating records.
• Partial updates are handled as delta syncs, sending only changed order fields to reduce noise and avoid overwriting merchant-owned edits.
• Errors and rejected payloads are logged with correlation to BigCommerce order IDs and Signifyd case IDs for traceability and reprocessing.
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We map BigCommerce order, customer, payment, and shipping fields to Signifyd and trigger checks at the right order status. Decisions and risk signals are written back to the BigCommerce order for fast handling.
Typically: customer identity signals, billing and shipping details, line items, discounts, taxes, IP and device data (if available), and fulfillment updates. The exact payload depends on your checkout, apps, and data layer.
Yes, we configure the BigCommerce Signifyd integration to apply rules based on Signifyd decisions, including auto-accept, cancel, or hold for review. This keeps fulfillment and support actions consistent across teams.
It can, but it depends on how your payment and fulfillment apps record events in BigCommerce. We align event handling so Signifyd receives the right updates for shipped, canceled, and refunded orders.
We validate decision accuracy against real order scenarios, log edge cases, and monitor key events like status changes and fulfillment updates. Our analytics team has delivered 575+ eCommerce BI dashboards, so we can also report on approval rate, chargebacks, and manual review volume.










