fullstory-analytics-events

Implement semantic analytics events for Fullstory's trackEvent in web applications.

Updated Dec 20, 2025

Search Tags:#analytics #saas #ecommerce #properties #trackEvent #fullstory #event naming

Ready to run

npx skills add https://github.com/rcmaples/btx --skill fullstory-analytics-events

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fullstory-analytics-events
Source: https://github.com/rcmaples/btx/tree/main/.claude/skills/fullstory-analytics-events
Command: npx skills add https://github.com/rcmaples/btx --skill fullstory-analytics-events

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Fullstory analytics events enable precise measurement of meaningful user actions, replacing vague or generic event captures with semantically named events and structured properties that drive reliable analytics and segmentation.

Core Features & Use Cases

Semantic event naming: Use object-action naming like "Product Added" or "Checkout Completed".
Typed properties & schema: Define property types to ensure data quality and consistent analysis.
Pattern coverage: Includes ecommerce, SaaS, funnel, and user journey scenarios, with good/bad examples to illustrate best practices.
Operational guidance: Instructions for implementing trackEvent, async variants, and troubleshooting.

Quick Start

Instrument a web app with Fullstory trackEvent calls, starting with a simple "User Logged In" event and its core properties.

Frequently Asked Questions about fullstory-analytics-events

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

FAQPage Schema

How do I implement Fullstory trackEvent calls in my web application?▼

Implement Fullstory trackEvent by instrumenting frontend code with semantically named events like "User Logged In" alongside typed properties. This schema-driven approach ensures reliable analytics and segmentation across your web application.

What is the best way to name Fullstory analytics events for ecommerce and SaaS?▼

Name Fullstory analytics events using an object-action convention such as "Product Added" or "Checkout Completed". This semantic naming pattern ensures consistent measurement across ecommerce, SaaS, funnel, and user journey scenarios.

How do I define typed properties for Fullstory trackEvent to ensure data quality?▼

Define typed properties within a schema-driven approach for Fullstory trackEvent to enforce data quality and consistent analysis. This structured method replaces generic captures with reliable property definitions for accurate segmentation.

Can I use Fullstory trackEvent for asynchronous event tracking?▼

Yes, Fullstory trackEvent supports asynchronous event tracking variants. The implementation provides patterns for async tracking alongside operational guidance for troubleshooting common limits within web application integration points.

What are common limitations and troubleshooting steps for Fullstory analytics events?▼

Common limitations for Fullstory analytics events involve hitting tracking limits and asynchronous failures. Troubleshooting guidance covers resolving schema mismatches, property typing errors, and integration issues to maintain reliable data capture.

Does Fullstory trackEvent work for user journey and funnel tracking?▼

Yes, Fullstory trackEvent works for user journey and funnel tracking by providing specific semantic event naming patterns and good/bad examples. This ensures precise measurement of meaningful user actions across complex workflows.