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gtm-metrics

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chadboyda·v1.0.0·devops·MIT

When the user wants to define GTM metrics, build a metrics dashboard, measure pipeline efficiency, or track AI product performance. Also use when the user mentions 'GTM metrics,' 'revenue latency,' 'p

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Publisher

chadboyda

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This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

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44f6a3d4da
Manifest
skills/gtm-metrics/SKILL.md
Scanned
1 file, 396 lines
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About this skill

What it does

This skill allows you to define Google Tag Manager (GTM) metrics for tracking key business objectives. It can be used to build custom dashboards visualizing these metrics, analyze pipeline efficiency, and monitor the performance of AI-powered products. The skill understands concepts like "revenue latency" and is designed to help users operationalize GTM data.

When to use it

  • You need to define specific metrics within Google Tag Manager to track user behavior or business outcomes.
  • You want to create a dashboard that visualizes key performance indicators (KPIs) derived from GTM data.
  • You're looking for ways to measure and improve the efficiency of your sales or marketing pipeline.
  • You need to monitor the performance and adoption of an AI product, using GTM to track user interactions.

Key capabilities

  • Defines Google Tag Manager (GTM) metrics.
  • Builds custom dashboards based on defined metrics.
  • Analyzes pipeline efficiency.
  • Tracks AI product performance.
  • Understands and utilizes "revenue latency" data.

Example prompts

  • “Define a GTM metric to track the completion rate of our onboarding flow.”
  • “Create a dashboard showing weekly active users, revenue generated, and conversion rates from Google Tag Manager data."
  • “Analyze our sales pipeline efficiency using GTM metrics; identify bottlenecks in the lead nurturing process.”

Tips & gotchas

Ensure you have existing Google Tag Manager implementations and tracking codes in place before utilizing this skill. The accuracy of the dashboards and analysis depends on correctly configured GTM tags and triggers.