Marketing Foundation
Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.
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Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.
Build an evidence-led marketing plan from ICP and competition through positioning, campaigns, growth and measurement.
Diagnose architecture and context, plan agent-team responsibilities, then organize project context and session handoffs. Memory and cost-runtime reviews remain outside this pack.
Review the journey from landing page and lead capture through registration, first value and transparent upgrades.
Plan a campaign, draft its channel content and review the work against actual brand guidance.
Prioritize an editorial roadmap and plan how to launch and distribute it across suitable channels.
Understand customer needs, compare competitors and plan a community around real member value.
Choose a relevant lead magnet, then draft a permission-based nurture journey with entry, suppression and exit rules.
Define the API contract, then plan how to observe its latency, failures and retries. Guidance and checklist; no production changes.
Profile a dataset, choose and interpret statistical methods, then validate calculations and conclusions before sharing.
Investigate Google Ads conversion loss, impression share and bid/budget constraints; use API Quickstart for initial access.
---
name: google-ads-api-account-diagnostics
description: >-
Diagnoses Google Ads account performance issues such as conversion loss (value or volume), low lead flow/volume, and lost impression share (opportunities) due to ad rank, bids, or budgets. Use when troubleshooting sudden performance drops, analyzing campaign impression share metrics, investigating low lead flow, or searching for bidding and budget constraints. Don't use for setting up new campaigns, uploading conversion events directly, or general Google Mobile Ads SDK integration issues (use gma-android-integrate instead).
metadata:
category: GoogleAds
author: google-ads-api-team
version: "1.0.0"
---
# Google Ads API Account Performance Diagnostics Skill
This skill provides instructions on how to use the Google Ads MCP server tools to diagnose common account performance issues.
## Workflows
### Identifying Active Client Accounts
Most diagnostics tasks require sending GAQL queries to a specific customer account. If the customer ID is not explicitly provided by the user, you must first call the `list_accessible_customers` (or `customers_list_accessible_customers`) tool to retrieve the customer resource names/IDs you have access to.
Once you have the list of accessible customer IDs, query the `customer_client` resource using the `search` tool under those customer accounts to find active client customer accounts. Make sure to select only enabled client accounts and filter out manager accounts:
```sql
SELECT
customer_client.id,
customer_client.descriptive_name,
customer_client.status,
customer_client.manager
FROM customer_client
WHERE customer_client.status = 'ENABLED' AND customer_client.manager = FALSE
```
Only run subsequent diagnostic queries against the enabled client customer IDs retrieved from this list. Do not query deactivated or manager accounts, as doing so will cause API errors.
### Using the MCP Tools Directly
To retrieve information and run queries, you must call the `search` tool on the MCP server directly (with arguments like `customer_id`, `fields`, `resource`, and `conditions`). Do not write or execute custom Python scripts or use the Google Ads client library to query the API, as they will fail authentication inside the evaluation sandbox.
### 1. Conversion and Conversion Value Loss
When conversions or conversion value suddenly decline, use the following steps to diagnose the issue.
**Steps:**
1. **Discover Fields**: Use `get_resource_metadata` with resource `campaign` or `ad_group` to ensure you have the correct field names.
2. **Query Performance**: Use `search` to retrieve performance data.
* **Resource**: `campaign` or `ad_group`
* **Fields**: Include `campaign.name`, `metrics.conversions`, `metrics.conversions_value`, `metrics.cost_micros`.
* **Segments**: To isolate the loss, include segments like `segments.date`, `segments.device`, `segments.conversion_action`.
* **Conditions**: Compare the period of decline with a previous period (e.g., `segments.date >= '{start_date}'`).
* *Gotcha*: `metrics.cost_micros` must be divided by 1,000,000 to get standard currency amounts.
**Example GAQL Query:**
To query performance data for a customer account `{customer_id}` between `{start_date}` and `{end_date}`:
```sql
SELECT
campaign.name,
metrics.conversions,
metrics.conversions_value,
metrics.cost_micros,
segments.date,
segments.device,
segments.conversion_action
FROM campaign
WHERE segments.date >= '{start_date}' AND segments.date <= '{end_date}'
```
3. **Analyze**: Check if the loss is limited to certain devices (e.g., mobile vs desktop) or specific conversion actions.
4. **Check Uploads**: If using offline imports, query `offline_conversion_upload_conversion_action_summary` to verify upload pipeline health. If the query returns no results, report that no offline uploads exist for the account and proceed.
**Example GAQL Query:**
To check upload pipeline health for a customer account `{customer_id}`:
```sql
SELECT
offline_conversion_upload_conversion_action_summary.conversion_action_name,
offline_conversion_upload_conversion_action_summary.successful_event_count,
offline_conversion_upload_conversion_action_summary.total_event_count,
offline_conversion_upload_conversion_action_summary.status
FROM offline_conversion_upload_conversion_action_summary
```
### 2. Opportunities Lost (Impression Share)
To identify lost opportunities due to ad rank, bids, or budgets, analyze impression share metrics.
**Steps:**
1. **Query Impression Share**: Use `search` to retrieve impression share metrics.
* **Resource**: `campaign`
* **Fields**: Include `campaign.name`, `metrics.search_impression_share`, `metrics.search_rank_lost_impression_share`, `metrics.search_budget_lost_impression_share`.
* *Gotcha*: Impression share values in the API are returned as decimals (e.g., 0.35 = 35%) or formatted strings (e.g., `"< 0.10"`).
**Example GAQL Query:**
To query impression share metrics for a customer account `{customer_id}` between `{start_date}` and `{end_date}`:
```sql
SELECT
campaign.name,
metrics.search_impression_share,
metrics.search_rank_lost_impression_share,
metrics.search_budget_lost_impression_share
FROM campaign
WHERE segments.date >= '{start_date}' AND segments.date <= '{end_date}'
```
2. **Analyze**:
* High `search_budget_lost_impression_share` indicates opportunities lost due to limited budget.
* High `search_rank_lost_impression_share` indicates opportunities lost due to low ad rank (bid or quality issues).
### 3. Low Lead Flow Diagnostics
When a user asks "why is my lead flow low these past few days?", follow this systematic approach.
**Steps:**
1. **Confirm Drop**: Query conversions segmented by date for the last few days vs the previous period.
2. **Isolate Cause**:
* Check if **Traffic** (clicks, impressions) dropped.
* Check if **Conversion Rate** (conversions/clicks) dropped.
3. **If Traffic Dropped**: Check Impression Share metrics (see Workflow 2) to see if it's a budget or rank issue, or if search volume generally declined.
4. **If Conversion Rate Dropped**: Check breakdowns by `segments.device` or `segments.conversion_action` to see if a specific area is failing.
5. **Check Changes**: Query the `change_event` resource to see if any changes were made to bids, budgets, or targeting around the time the drop started.
* *Gotcha (change_event constraints)*: Queries to the `change_event` resource:
* Must specify a `LIMIT` clause of less than or equal to 10000.
* Must filter by date (`change_event.change_date_time`) within the past 30 days.
* Cannot select performance metrics (e.g., `metrics.*` is not supported; only `change_event` attributes and allowed resource fields can be selected).
**Example GAQL Query:**
To query change events for a customer account `{customer_id}` between `{start_date}` and `{end_date}`:
```sql
SELECT
change_event.change_date_time,
change_event.change_resource_name,
change_event.resource_change_operation,
change_event.changed_fields
FROM change_event
WHERE change_event.change_date_time >= '{start_date}' AND change_event.change_date_time <= '{end_date}'
LIMIT 10000
```
### 4. Offline Upload Pipeline Diagnostics
When offline conversion uploads for a specific action (e.g., store-purchase) stop showing up or fail, use the following steps to diagnose the issue.
**Steps:**
1. **Retrieve Client Accounts**: If `{customer_id}` is not provided, first call the `list_accessible_customers` (or `customers_list_accessible_customers`) tool to retrieve the customer resource names/IDs you have access to. Then, query the `customer_client` resource to find active client customer accounts, ensuring you filter out manager accounts and deactivated/canceled accounts to avoid query errors.
**Example GAQL Query:**
```sql
SELECT
customer_client.id,
customer_client.descriptive_name,
customer_client.status,
customer_client.manager
FROM customer_client
WHERE customer_client.status = 'ENABLED' AND customer_client.manager = FALSE
```
2. **Verify Pipeline Health**: Query `offline_conversion_upload_conversion_action_summary` for the active client account.
* **Fields**: Include `offline_conversion_upload_conversion_action_summary.conversion_action_name`, `offline_conversion_upload_conversion_action_summary.successful_event_count`, `offline_conversion_upload_conversion_action_summary.total_event_count`, and `offline_conversion_upload_conversion_action_summary.status`.
**Example GAQL Query:**
```sql
SELECT
offline_conversion_upload_conversion_action_summary.conversion_action_name,
offline_conversion_upload_conversion_action_summary.successful_event_count,
offline_conversion_upload_conversion_action_summary.total_event_count,
offline_conversion_upload_conversion_action_summary.status
FROM offline_conversion_upload_conversion_action_summary
```
3. **Analyze**:
* *Gotcha*: If the query to `offline_conversion_upload_conversion_action_summary` returns no results or is empty (indicating there are no offline conversion uploads configured or active for the customer account), immediately stop/break the diagnostic workflow. Report directly to the user that no offline conversion upload data or summaries exist in the accessible account(s), rather than retrying or attempting to generate custom scripts.
* If results are returned, verify the upload success rate by comparing `successful_event_count` with `total_event_count`. Check the `status` field to diagnose failures.
Investigate Google Ads conversion loss, impression share and bid/budget constraints; use API Quickstart for initial access.
Complete original guidance with source attribution and declared limitations.
Clarify the actual task, inspect available evidence and plan the relevant source workflow within authorized scope.
Ads customer ID, authorized reporting access, dates, conversion definitions and observed issue.
An empty offline-upload query proves only that no matching data was returned for the accessible account and query, not that uploads never existed. No bids, budgets or campaigns are changed. Referenced scripts, templates, packages and remote documentation are not bundled or installed. Brief obvious-danger screening only; no functional test or comprehensive security certification.
Use Google Ads Account Diagnostics for [TASK]. Clarify Ads customer ID, authorized reporting access, dates, conversion definitions and observed issue. Identify missing dependencies and assumptions. Loading this guidance grants no permission to change resources, transfer data or incur charges.
Automatic cloud execution, bypassing resource-owner permissions, or treating untested examples as deployed and verified results.
German task routing and precise scope. Original attribution: google-ads-api-team. An empty offline-upload query proves only that no matching data was returned for the accessible account and query, not that uploads never existed. No bids, budgets or campaigns are changed. Referenced scripts, templates, packages and remote documentation are not bundled or installed. Brief obvious-danger screening only; no functional test or comprehensive security certification.
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