fullstory-ecommerce

FullStory ecommerce tracking protects sensitive data by applying fs-unmask and fs-mask attributes alongside data redaction strategies. This ensures product interaction analytics are captured while safeguarding PII and PCI data during checkout.

Product interaction analytics require tracking product_viewed, add_to_cart, checkout_start, purchase_completed, and product_impression events. These structured events capture product data like id, name, category, and price across PDP and PLP workflows.

FullStory integrates with PCI-compliant checkout workflows by implementing strict data governance practices. It uses fs-mask to redact sensitive fields, ensuring no card data or personal identifiers are transmitted during checkout tracking.

Mask sensitive customer data during FullStory session replay by configuring fs-mask and fs-unmask attributes. This privacy-aware instrumentation strategy prevents PII exposure while still allowing product-level analytics on PDP and cart pages.

The best way to structure ecommerce event taxonomy for privacy-conscious analytics is mapping specific user actions like purchase_completed to structured properties. This approach ensures consistent tracking across commerce workflows while maintaining data governance.

FullStory implementations capture sensitive checkout fields when fs-mask and fs-redaction strategies are not applied. Reviewing PCI and PII guidelines and applying privacy-aware instrumentation ensures compliant data collection during checkout.