fullstory-ecommerce

What problem does it solve?

This Skill helps e-commerce teams implement privacy-conscious Fullstory analytics to optimize conversions while meeting PCI, GDPR, and privacy guidelines.

Core Features & Use Cases

• Privacy-aware event tracking: capture product views, adds-to-cart, purchases, and funnel steps with data masking where needed.
• Checkout & cart optimization: analyze cart abandonment, checkout friction, and post-purchase journeys.
• Privacy zoning and compliance patterns: applies fs-unmask, fs-mask, and fs-exclude to protect PII and payment data; supports multi-device identity and cross-session mapping.
• Use Case: A retailer identifies high drop-off at checkout and reduces abandonment by 15% after implementing targeted optimization signals.

Quick Start

Read SKILL.md, then implement core events: product_viewed on PDP, product_impression on PLP, product_added_to_cart, purchase_completed, and apply privacy zoning rules (fs-mask for PII, fs-exclude for card data).