google-ads-utm-generator

Generate and audit standardized UTMs with dynamic ValueTrack tokens for Google Ads.

13|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/eliasmalmsandberg/google-ads-skills --skill google-ads-utm-generator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: google-ads-utm-generator
Source: https://github.com/eliasmalmsandberg/google-ads-skills/tree/main/skills/google-ads-utm-generator
Command: npx skills add https://github.com/eliasmalmsandberg/google-ads-skills --skill google-ads-utm-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Inconsistent or missing UTM data sabotages GA4 attribution. This skill provides a standardized approach to generate, apply, and audit UTMs for Google Ads, ensuring clean, parseable analytics signals across campaigns.

Core Features & Use Cases

  • Normalize and standardize UTMs across accounts.
  • Support auto-tagging or manual UTMs with dynamic ValueTrack tokens for precise attribution.
  • Include naming conventions, templates, and auditing checks to prevent mislabeling and data loss.
  • Use Case: A marketer wants every Google Ads click to map to GA4 dimensions consistently, whether auto-tagging is enabled or UTMs are managed in tandem with other channels.

Quick Start

Enable auto-tagging or set a global tracking template, then apply a consistent UTM naming convention to all campaigns.

Frequently Asked Questions about google-ads-utm-generator

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

FAQPage Schema
How do I set up UTM tracking for Google Ads to ensure clean GA4 attribution?

UTM tracking for GA4 requires standardizing naming conventions and applying a global tracking template in Google Ads. This ensures consistent analytics signals across all campaigns, whether using auto-tagging or manual UTMs with dynamic ValueTrack tokens.

What's the best way to standardize UTM naming conventions across multiple Google Ads accounts?

Standardizing UTM naming conventions across accounts involves applying a consistent dynamic UTM generation framework. This approach normalizes tracking URLs, preventing mislabeling and data loss while ensuring every click maps correctly to GA4 channel groupings.

Do I need manual UTMs if auto-tagging is enabled for GA4?

Auto-tagging handles primary attribution, but manual UTMs may be needed when managing Google Ads alongside other channels. A proper setup supports both simultaneously, using ValueTrack tokens to maintain precise attribution without conflicting signals.

How do dynamic ValueTrack tokens improve Google Ads UTM tracking?

Dynamic ValueTrack tokens populate UTM parameters automatically based on click context, such as campaign or match type. This dynamic population ensures tracking URLs remain accurate and parseable for GA4 without requiring manual parameter entry for each ad.

Why does my GA4 channel grouping show inconsistent or missing UTM data from Google Ads?

Inconsistent or missing UTM data typically stems from a lack of standardized naming conventions or auditing checks. Implementing a comprehensive UTM framework with templates and validation prevents mislabeling and ensures uniform analytics attribution.

Can I audit existing Google Ads tracking URLs for UTM naming convention errors?

Auditing existing tracking URLs for UTM errors is supported through comprehensive auditing checks. This process identifies mislabeling and data loss by validating current parameters against a standardized template, ensuring all campaigns align with GA4 requirements.