Analytics Tracking for Openclaw

A professional framework for architecting and implementing robust analytics, conversion tracking, and event-based measurement strategies.

rdewolff
v1.0.0
Jan 28, 2026
0
0
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install analytics-tracking

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install analytics-tracking using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Analytics Tracking?

The Analytics Tracking skill is designed to transform raw data collection into a strategic asset for product and marketing teams. By utilizing this skill within the Openclaw Skills ecosystem, developers can implement high-quality tracking plans that focus on decision-making rather than vanity metrics. It provides a structured approach to naming conventions, event properties, and platform-specific configurations for tools like Google Analytics 4 (GA4) and Google Tag Manager (GTM).

This skill ensures that every user interaction, from simple page views to complex e-commerce checkouts, is captured with technical precision and business relevance. It bridges the gap between technical implementation and marketing requirements, offering a standardized methodology for auditing existing setups or building new measurement frameworks from scratch.

Analytics Tracking Use Cases

  • Auditing and repairing broken Google Analytics 4 implementations.
  • Designing a comprehensive event tracking plan for SaaS or e-commerce platforms.
  • Setting up Google Tag Manager containers with standardized tag and trigger structures.
  • Implementing cross-platform UTM parameter strategies for accurate attribution.
  • Configuring privacy-compliant tracking using Consent Mode and data minimization.

How Analytics Tracking Works

  1. Conduct an initial assessment of business goals, conversion actions, and the existing technical stack.
  2. Define a structured Tracking Plan that maps specific user actions to event names, properties, and triggers.
  3. Implement the measurement code using standard patterns like Object-Action naming (e.g., signup_completed).
  4. Configure the dataLayer and platform settings for custom dimensions, metrics, and conversion goals.
  5. Validate the implementation through real-time debugging tools like GA4 DebugView and GTM Preview mode.

Analytics Tracking Setup

To deploy this skill using Openclaw Skills, you should first prepare your tracking documentation and environment variables.

# Add the analytics tracking skill to your agent workspace
openclaw add skill analytics-tracking

# Initialize a new tracking plan document
openclaw run analytics-tracking --init

Ensure your web application has the GTM or GA4 base snippet installed in the <head> of your HTML before triggering custom events.

Analytics Tracking Data Schema & Taxonomy

The skill organizes tracking metadata through a standardized schema to ensure data consistency across teams.

Component Description Examples
Events Core actions performed by the user product_viewed, form_submitted
Properties Contextual metadata for an event plan_type, button_text, currency
User Properties Persistent traits of the visitor user_id, is_premium, signup_date
UTMs Acquisition source parameters utm_source, utm_medium, utm_campaign
Conversions High-value milestone events purchase_completed, demo_requested

Analytics Tracking Advanced Features

  • Multi-platform data stream configuration for web, iOS, and Android applications.
  • Automated GTM naming conventions for tags, triggers, and variables to prevent container bloat.
  • Integrated e-commerce schema support (GA4 Schema) for item-level tracking.
  • Consent Mode (CoMo) integration for GDPR/CCPA compliance without losing total data visibility.
  • Custom Dimension scoping at the Event, User, and Item levels for advanced segmentation.

SKILL.md


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