google-ads-landing-review

google-ads-landing-review is a skill for Claude Code from TheMattBerman/google-ads-copilot. It costs 86 tokens per session (3,808 once invoked), scanned A, original, MIT.

A diagnostic review for landing pages that receive visitors from Google Ads. It checks whether low reported conversions come from broken tracking or from problems in the visitor’s path through the page.

In plain words
What is it for?
Use it to inspect ad and campaign data, verify conversion tracking, fetch or browse landing pages, and assess message match, loading issues, and the conversion path. It helps distinguish measurement failures from page and user-experience failures.
Why use it?
It prevents teams from changing a landing page when conversions are merely being recorded incorrectly. It also avoids trusting user-experience conclusions before the measurement system is checked.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit Use it to inspect ad and campaign data, verify conversion tracking, fetch or browse landing pages, and assess message match, loading issues, and the conversion path. It helps distinguish measurement failures from page and user-experience failures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/themattberman/google-ads-copilot/google-ads-landing-review
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add TheMattBerman/google-ads-copilot --skill google-ads-landing-review
Clone the repo
git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for google-ads-landing-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/themattberman/google-ads-copilot/google-ads-landing-review/github.svg)](https://agentmods.dev/skills/themattberman/google-ads-copilot/google-ads-landing-review)
Your own site
<a href="https://agentmods.dev/skills/themattberman/google-ads-copilot/google-ads-landing-review"><img src="https://agentmods.dev/badge/skills/themattberman/google-ads-copilot/google-ads-landing-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for google-ads-landing-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/themattberman/google-ads-copilot/google-ads-landing-review"><img src="https://agentmods.dev/badge/skills/themattberman/google-ads-copilot/google-ads-landing-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,808 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00086 $0.03808
Opus 5 $0.00043 $0.01904
Sonnet 5 $0.00017 $0.00762
Haiku 4.5 $0.00009 $0.00381

Measured 11d ago against content hash 6e4b8866f6d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

google-ads-landing-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/google-ads-landing-review/SKILL.md · 423 lines

How it starts

The opening of the file, as written. The whole thing — 423 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Why this skill exists

"The landing page isn't converting" is the most common complaint in Google Ads. But it hides two completely different root causes:

  1. Tracking problem — conversions ARE happening but aren't being counted.
  2. Path problem — the visitor arrives but the page fails them.

Most operators (and most clients) assume path failure when the numbers look bad. Half the time, it's a tracking failure. Conflating the two wastes months.

This skill separates them.

Read first:

  • google-ads/references/operator-thesis.md
  • google-ads/references/tracking-playbook.md
  • google-ads/references/structure-playbook.md

Read workspace if available:

  • workspace/ads/account.md
  • workspace/ads/goals.md
  • workspace/ads/findings.md
  • workspace/ads/drafts/_index.md — check for existing tracking drafts

Diagnostic Model: Two Forks

"Landing page isn't converting"
         │
    ┌────┴────┐
    │         │
  FORK A    FORK B
  Tracking  Path/UX
    │         │
  Is the     Is the page
  signal     actually
  correct?   failing?

Always run Fork A first. If tracking is broken, Fork B conclusions are unreliable.


Fork A: Tracking Diagnosis (Is the signal trustworthy?)

What to check

1. Does a conversion action exist for the goal on this page?

  • Is there a conversion action configured for the form/call/purchase that this landing page is supposed to produce?
  • Is it set as primary (include_in_conversions_metric = TRUE)?
  • Is the counting type correct?

2. Does the tag actually fire?

  • Is the Google Ads conversion tag (or GA4 event imported to Google Ads) present on the confirmation/thank-you page?
  • Does the tag fire when the user completes the action? (Google Tag Assistant, network tab, or manual test)
  • Is the tag firing on the WRONG page? (e.g., firing on page load of the form page instead of the thank-you page)

3. Is the conversion path end-to-end intact?

  • Click on ad → landing page → form/CTA → thank-you page → tag fires → conversion recorded
  • Where does the chain break?

Read the full file on GitHub · 423 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 423 lines · 86 tokens per session scan A 6e4b8866f6d2

Subscribe to this mod's changes

google-ads-landing-review is a skill published in the GitHub repository TheMattBerman/google-ads-copilot (233 stars, last pushed 3mo ago), licensed MIT. It adds 86 tokens to every session and 3,808 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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