Braze ecommerce guide: connect commerce behavior, product data and lifecycle journeys for better conversion and retention.

Define the commerce event model

Use stable business events such as product view, cart update, checkout, purchase, refund and subscription change. Braze documents ecommerce-specific recommended events and filters; the implementation should map source-system semantics to a small reusable model.

Implementation note: Include product IDs, order IDs, value, currency and other properties needed for downstream segmentation and analysis.

Use product data as shared context

Catalogs provide reusable product metadata while customer events show behavior. Keep these roles separate: the event says what happened, the catalog says what the product is, and the journey decides what to do next.

Implementation note: When commerce data changes quickly, define the freshness expectation for price, inventory and availability rather than relying on static message content.

Cart recovery needs suppression logic

Abandoned-cart programs should stop when the purchase happens, the product becomes unavailable, or another journey takes ownership. Add quiet periods and cross-channel suppression so email, push and onsite messages do not all fire at once.

Implementation note: Use the order identifier to reconcile purchase completion and prevent duplicate recovery journeys.

Measure the full customer lifecycle

Commerce programs should connect campaign exposure to revenue, margin or retention, not only click-through. Segment results by new versus existing customers, category and acquisition source where useful.

Implementation note: Use controlled comparisons when feasible to separate revenue that would have occurred without the message from true incremental impact.

Production scenario: Shopify lifecycle

A Shopify store syncs product data to a Braze catalog while behavioral events drive a Canvas for browse and cart recovery. The implementation keeps product metadata separate from customer events, suppresses recovery after purchase, and provides a fallback when a product disappears before send time.