google-ads-audit v1.0.0A

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---
name: google-ads-audit
description: Comprehensive Google Ads account audit — campaign structure, budget pacing, conversion tracking, wasted spend — across every campaign type, ranked by estimated $ impact
version: "1.0.0"
author: Cogny AI
requires: cogny-mcp
platforms: [google-ads]
user-invocable: true
argument-hint: "[full|campaigns|budget|tracking|negatives]"
allowed-tools:
  - mcp__cogny__google_ads__tool_list_accessible_accounts
  - mcp__cogny__google_ads__tool_execute_gaql
  - mcp__cogny__google_ads__tool_get_gaql_doc
  - mcp__cogny__google_ads__tool_get_reporting_view_doc
  - mcp__cogny__create_finding
  - WebFetch
  - WebSearch
---

# Google Ads Audit

A one-time, account-wide Google Ads health audit using live data via Cogny's MCP
server. Covers every campaign type, scores the account out of 100, and routes you to
the right campaign-type skill for deeper drill-down.

**Requires:** Cogny Agent subscription ($9/mo) — [Sign up](https://cogny.com/agent)

## Prerequisites Check

Verify Google Ads MCP tools are available. If `mcp__cogny__google_ads__tool_execute_gaql`
is not available:

```
This skill requires Cogny's Google Ads MCP server.

1. Sign up at https://cogny.com/agent
2. Connect your Google Ads account
3. Add Cogny to your .mcp.json (see the repo README)
4. Restart Claude Code
```

Stop here if the tools are missing — do not guess at numbers.

## Usage

`/google-ads-audit` — full account audit
`/google-ads-audit campaigns` — campaign structure + performance only
`/google-ads-audit budget` — budget pacing only
`/google-ads-audit tracking` — conversion tracking sanity only
`/google-ads-audit negatives` — account negatives + exclusions only

## Approach

This is the **account-level** audit — it finds structural problems and wasted spend
across the whole account. For campaign-type depth (asset groups, keywords, feeds,
audiences) it points you to `/pmax-audit`, `/search-campaign-audit`,
`/shopping-campaign-audit`, or `/demand-gen-audit`.

All money fields come back in micros — divide `cost_micros` etc. by 1,000,000.

## Steps

### 1. Account discovery

```
tool_list_accessible_accounts
```

If multiple accounts are accessible, list them and ask which to audit. Confirm the
account name and currency before continuing.

### 2. Campaign overview by channel type (last 30 days)

```sql
SELECT campaign.name, campaign.status, campaign.advertising_channel_type,
  campaign.bidding_strategy_type, campaign_budget.amount_micros,
  metrics.cost_micros, metrics.conversions, metrics.conversions_value,
  metrics.clicks, metrics.impressions
FROM campaign
WHERE segments.date DURING LAST_30_DAYS
ORDER BY metrics.cost_micros DESC
```

Build a per-channel-type summary (Search / Performance Max / Shopping / Display /
Video / Demand Gen): total spend, conversions, CPA, ROAS (`conversions_value / cost`).

Flag:
- Campaigns spending >5% of account budget with **zero conversions**
- `MAXIMIZE_CONVERSIONS` / `TARGET_CPA` campaigns with <15 conversions/30d (too little
  data for the bidding strategy to learn)
- Multiple campaigns of the same type competing for the same theme (self-competition)
- Enabled campaigns with zero spend (broken, or budget/targeting starved)

### 3. Conversion tracking sanity

```sql
SELECT conversion_action.name, conversion_action.status, conversion_action.type,
  conversion_action.category, conversion_action.counting_type,
  conversion_action.primary_for_goal
FROM conversion_action
```

Flag:
- **No primary conversion actions** — bidding is flying blind
- Conversion actions with status `REMOVED` or `HIDDEN` still referenced
- `MANY_PER_CLICK` counting on a lead-gen action (usually should be `ONE_PER_CLICK`)
- Multiple near-duplicate conversion actions (double-counting risk)

Cross-check: pull `metrics.all_conversions` vs `metrics.conversions` at account level.
A large gap means important conversions are not set as primary.

### 4. Budget pacing (last 7 days)

```sql
SELECT campaign.name, campaign.status, campaign_budget.amount_micros,
  metrics.cost_micros, metrics.impressions
FROM campaign
WHERE segments.date DURING LAST_7_DAYS AND campaign.status = 'ENABLED'
```

For each campaign compute average daily spend vs daily budget.

Flag:
- Campaigns consistently capped at ~100% of daily budget while converting profitably
  (budget-limited — leaving volume on the table)
- Campaigns spending <50% of budget (delivery problem: bids, targeting, or quality)

### 5. Account negatives & exclusions

```sql
SELECT shared_set.name, shared_set.type, shared_set.status, shared_set.member_count
FROM shared_set
```

Flag:
- No negative keyword lists shared across Search campaigns
- No brand-term handling (brand traffic mixed into non-brand campaigns)
- For Performance Max / Display: missing account-level placement and content
  exclusions (brand-safety + waste risk)

### 6. Wasted spend scan (last 30 days)

```sql
SELECT search_term_view.search_term, campaign.name, campaign.advertising_channel_type,
  metrics.cost_micros, metrics.conversions, metrics.clicks
FROM search_term_view
WHERE segments.date DURING LAST_30_DAYS AND metrics.cost_micros > 0
ORDER BY metrics.cost_micros DESC
LIMIT 50
```

Sum the cost of terms with **zero conversions and meaningful spend** — this is the
headline "wasted spend" number and the source of the largest `estimated_impact_usd`.

### 7. Score and report

```
Google Ads Audit — [Account Name]
Health Score: X/100  ·  30-day spend: [X]  ·  Conversions: [X]  ·  CPA: [X]

Score breakdown:
  Account structure ...... X/20
  Conversion tracking .... X/25   (weighted highest — everything depends on it)
  Budget efficiency ...... X/20
  Wasted spend control ... X/20
  Negatives & exclusions . X/15

By campaign type:
| Type          | Spend | Conv | CPA | ROAS | Drill-down skill        |
|---------------|-------|------|-----|------|-------------------------|
| Performance Max | ... | ...  | ... | ...  | /pmax-audit             |
| Search          | ... | ...  | ... | ...  | /search-campaign-audit  |
| Shopping        | ... | ...  | ... | ...  | /shopping-campaign-audit|
| Demand Gen      | ... | ...  | ... | ...  | /demand-gen-audit       |

🔴 Critical
- ...
🟡 Important
- ...
🟢 Optimization
- ...

Top 3 Actions:
1. [Highest $ impact — estimated savings/lift]
2. ...
3. ...

Run next: [the campaign-type skill for the highest-spend type]
```

### 8. Record findings

For every actionable issue, call `mcp__cogny__create_finding`:

```json
{
  "title": "$1,840/mo wasted on zero-conversion search terms",
  "body": "23 search terms spent $1,840 over 30 days with 0 conversions, led by 'free [product]' ($420) and '[competitor] alternative' ($310). Add as negative keywords and create a shared negative list.",
  "action_type": "negative_keyword",
  "expected_outcome": "Reclaim ~$1,800/mo of spend for converting queries",
  "estimated_impact_usd": 1840,
  "priority": "high"
}
```

Action types: `campaign_optimization`, `budget_adjustment`, `bidding_strategy`,
`conversion_tracking`, `negative_keyword`, `account_structure`.

## Critical rules

1. **Conversion tracking is checked first and weighted highest.** A great account on
   broken tracking is a broken account — say so loudly.
2. **Quote real numbers**, never benchmarks alone. "CPA is $48" beats "CPA looks high."
3. **One finding per issue**, each with a dollar figure. No vague advice.
4. This skill **reads only**. It never pauses campaigns or changes budgets.