skills.rest
fullstorydev
fullstorydevOFFICIAL
Explore all skills by this author →
WebsiteGitHub

fullstory-ecommerce

Implement PCI-compliant Fullstory event tracking with privacy zoning and data masking.

11|2|Updated Dec 2, 2025
Search Tags:#analytics#e-commerce#conversion#privacy#Fullstory#PCI#cart-abandonment
One-click install
npx skills add https://github.com/fullstorydev/fs-skills --skill fullstory-ecommerce-fullstorydev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fullstory-ecommerce
Source: https://github.com/fullstorydev/fs-skills/tree/main/industry/fullstory-ecommerce
Command: npx skills add https://github.com/fullstorydev/fs-skills --skill fullstory-ecommerce-fullstorydev

SYSTEM DOCUMENTATION & REQUIREMENTS

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).

Frequently Asked Questions about fullstory-ecommerce

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement PCI-compliant analytics for my e-commerce checkout?▼

PCI-compliant analytics for e-commerce checkout requires applying privacy zoning rules like fs-exclude for card data and fs-mask for PII when capturing purchase_completed events. This ensures payment data is never recorded while still tracking funnel friction.

What Fullstory events do I need to track for cart abandonment analysis?▼

Cart abandonment analysis requires tracking product_viewed on PDP, product_added_to_cart, and purchase_completed events across checkout journeys. Combining these with privacy zoning configurations isolates where users drop off before completing purchases.

Does Fullstory support multi-session and cross-device tracking for e-commerce funnels?▼

Fullstory supports multi-session and cross-device tracking for e-commerce funnels through cross-session identity mapping. This connects user interactions across product listing, cart, and checkout journeys to analyze complete conversion paths.

How do I mask PII and payment data during e-commerce session replay?▼

Masking PII and payment data during e-commerce session replay involves applying fs-mask to personal identifiable information and fs-exclude to sensitive card data fields. Use fs-unmask selectively where data visibility is explicitly required for analysis.

Can I track post-purchase journeys without violating GDPR privacy guidelines?▼

Tracking post-purchase journeys under GDPR requires implementing privacy-aware event capture with fs-mask and fs-exclude zoning. This protects customer PII during purchase_completed events while still capturing behavioral analytics for optimization.

Related Skills

Explore More Data & Analytics Skills→
rcmaplesrcmaples

fullstory-privacy-strategy

Guide privacy-conscious Fullstory data handling with GDPR, HIPAA, PCI, and CCPA alignment.

Community
Advanced
rohunvorarohunvora
5

improve-flow

Diagnose user-flow drop-offs using UX laws and generate actionable fixes with a validation checklist.

Community
Advanced
huiferhuifer
1

customer-journey-mapper

Map customer journey data into a visual cross-channel funnel from awareness to advocacy.

Community
Advanced
OrcaQubitsOrcaQubits
35

acp-intent-traces

Implements intent traces for structured cart abandonment signals with predefined reason codes.

Official
Intermediate