Full Answer

The word pipeline suggests a single linear flow, but production data infrastructure is closer to a distribution network with one intake and many outlets.

The source layer captures raw events. In a WooCommerce context, this means hooking into WordPress and WooCommerce actions — woocommerce_add_to_cart, woocommerce_checkout_order_processed, woocommerce_order_status_completed — and collecting the associated data: product IDs, quantities, prices, customer identifiers, timestamps, and session context. A lightweight WordPress plugin handles this capture and batches events for efficient delivery to the processing layer.

The processing layer is where the real work happens. Raw events arrive with varying levels of completeness. The processor validates required fields, enriches events with additional data — matching customer email addresses, attaching lifetime purchase history, applying UTM parameters — and formats each event according to the requirements of its destination. GA4 expects events in Measurement Protocol format. Meta CAPI expects a different schema with hashed personal identifiers. Google Ads Enhanced Conversions expects gclid-matched conversion data. The processor translates one raw event into multiple platform-specific payloads.

The destination layer delivers processed events to each platform via server-side APIs. This is fundamentally different from browser-based tracking, where a JavaScript tag fires in the visitor's browser and hopes the request completes. Server-side delivery from the processing layer is controlled, retryable, and independent of the visitor's browser environment.

The monitoring layer sits across all three. Delivery confirmation dashboards show how many events were captured, processed, and successfully delivered to each destination. Failed deliveries trigger automatic retries. Persistent failures generate alerts. The monitoring layer is what separates a pipeline from a script — a script runs and hopes, a pipeline runs and verifies.