Traffic Filtering for Ecommerce Acquisition and Checkout

List what the public flow can observe before a storefront visit and which risks belong to checkout or payment systems. Keep traffic classification separate from order decisions to avoid making claims unsupported by downstream evidence.

Carry network, campaign, placement, creative, market, and click identifiers through the routing hop. Verify that analytics and storefront parameters survive both destination outcomes without logging unnecessary sensitive checkout data.

Check product pages, locale and currency, cart behavior, navigation, and the transition to checkout on representative devices. Routing accuracy is not enough if proxy, iframe, or redirect delivery breaks the shopping session.

Repeated clicks, automation traits, mismatched markets, or unusual networks may warrant a conservative response. Analyze these within source segments, since a global rule can remove valuable traffic from an unrelated catalog campaign.

Replay routing fixtures, sample real events, and compare acquisition IDs with privacy-safe analytics or conversion records. Diagnose lost attribution separately from legitimate visitors routed away from the intended storefront.