google-ads-report

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npx skills add openclaudia/openclaudia-skills --skill google-ads-report

Documentation

SKILL.md

npx skills add ...

Documentation

SKILL.md

Pull Google Ads performance data and generate reports. Use when asked about ad campaign performance, keyword costs, quality scores, ROAS, conversion tracking, or ad spend analysis. Trigger phrases: "google ads", "adwords", "campaign performance", "ad spend", "quality score", "CPC report", "ROAS", "ad conversion", "keyword performance", "google ads report".

npx skills add openclaudia/openclaudia-skills --skill google-ads-report

Documentation

SKILL.mdView source

Google Ads Report

Pull campaign, keyword, and conversion data from the Google Ads API.

Prerequisites

Requires:

GOOGLE_CLIENT_ID and GOOGLE_CLIENT_SECRET (OAuth)
GOOGLE_ADS_DEVELOPER_TOKEN (apply at https://ads.google.com/home/tools/manager-accounts/)
GOOGLE_ADS_CUSTOMER_ID (the account ID, format: XXX-XXX-XXXX, passed without dashes)
GOOGLE_ADS_LOGIN_CUSTOMER_ID (if using a manager account, the manager account ID)

Set in .env, .env.local, or ~/.claude/.env.global.

Getting an Access Token

# Same OAuth flow as other Google APIs
# Scope needed: https://www.googleapis.com/auth/adwords
 
echo "https://accounts.google.com/o/oauth2/v2/auth?client_id=${GOOGLE_CLIENT_ID}&redirect_uri=urn:ietf:wg:oauth:2.0:oob&scope=https://www.googleapis.com/auth/adwords&response_type=code&access_type=offline"
 
# Exchange code for tokens
curl -s -X POST "https://oauth2.googleapis.com/token" \
  -d "code={AUTH_CODE}" \
  -d "client_id=${GOOGLE_CLIENT_ID}" \
  -d "client_secret=${GOOGLE_CLIENT_SECRET}" \
  -d "redirect_uri=urn:ietf:wg:oauth:2.0:oob" \
  -d "grant_type=authorization_code"

API Base

Google Ads API uses GAQL (Google Ads Query Language) via REST.

POST https://googleads.googleapis.com/v17/customers/{CUSTOMER_ID}/googleAds:searchStream

Headers:

Authorization: Bearer {ACCESS_TOKEN}
developer-token: {DEVELOPER_TOKEN}
login-customer-id: {LOGIN_CUSTOMER_ID}  # Only if using manager account
Content-Type: application/json

1. Campaign Performance Report

Overview of all campaigns with key metrics.

curl -s -X POST \
  "https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
  -H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
  -H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "SELECT campaign.name, campaign.status, metrics.impressions, metrics.clicks, metrics.ctr, metrics.average_cpc, metrics.cost_micros, metrics.conversions, metrics.cost_per_conversion, metrics.conversions_value FROM campaign WHERE segments.date DURING LAST_30_DAYS AND campaign.status != REMOVED ORDER BY metrics.cost_micros DESC"
  }'

Parsing Campaign Data

curl -s -X POST "..." | python3 -c "
import json, sys
data = json.load(sys.stdin)
print(f\"{'Campaign':<35} {'Status':<10} {'Impr':>8} {'Clicks':>7} {'CTR':>7} {'Avg CPC':>8} {'Cost':>10} {'Conv':>6} {'CPA':>8}\")
print('-' * 110)
for batch in data:
    for row in batch.get('results', []):
        c = row.get('campaign', {})
        m = row.get('metrics', {})
        cost = int(m.get('costMicros', 0)) / 1_000_000
        cpc = int(m.get('averageCpc', 0)) / 1_000_000
        cpa = float(m.get('costPerConversion', 0)) / 1_000_000 if m.get('costPerConversion') else 0
        print(f\"{c.get('name',''):<35} {c.get('status',''):<10} {int(m.get('impressions',0)):>8} {int(m.get('clicks',0)):>7} {float(m.get('ctr',0))*100:>6.2f}% \${cpc:>7.2f} \${cost:>9.2f} {float(m.get('conversions',0)):>6.1f} \${cpa:>7.2f}\")
"

Important: Cost Micros

All cost values in Google Ads API are in micros (1/1,000,000 of the currency unit). Divide by 1,000,000 to get the actual amount.

2. Keyword Performance Report

See how individual keywords perform.

curl -s -X POST \
  "https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
  -H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
  -H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "SELECT ad_group_criterion.keyword.text, ad_group_criterion.keyword.match_type, ad_group_criterion.quality_info.quality_score, metrics.impressions, metrics.clicks, metrics.ctr, metrics.average_cpc, metrics.cost_micros, metrics.conversions, metrics.conversions_value FROM keyword_view WHERE segments.date DURING LAST_30_DAYS AND ad_group_criterion.status != REMOVED ORDER BY metrics.cost_micros DESC LIMIT 50"
  }'

Quality Score Breakdown

curl -s -X POST \
  "https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
  -H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
  -H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "SELECT ad_group_criterion.keyword.text, ad_group_criterion.quality_info.quality_score, ad_group_criterion.quality_info.creative_quality_score, ad_group_criterion.quality_info.post_click_quality_score, ad_group_criterion.quality_info.search_predicted_ctr, metrics.impressions, metrics.average_cpc FROM keyword_view WHERE ad_group_criterion.quality_info.quality_score IS NOT NULL AND segments.date DURING LAST_30_DAYS ORDER BY ad_group_criterion.quality_info.quality_score ASC LIMIT 50"
  }'

Quality Score Components:

quality_score: Overall score (1-10)
creative_quality_score: Ad relevance (BELOW_AVERAGE, AVERAGE, ABOVE_AVERAGE)
post_click_quality_score: Landing page experience
search_predicted_ctr: Expected click-through rate

3. Ad Group Performance

curl -s -X POST \
  "https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
  -H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
  -H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "SELECT campaign.name, ad_group.name, ad_group.status, metrics.impressions, metrics.clicks, metrics.ctr, metrics.average_cpc, metrics.cost_micros, metrics.conversions FROM ad_group WHERE segments.date DURING LAST_30_DAYS AND ad_group.status != REMOVED ORDER BY metrics.cost_micros DESC LIMIT 50"
  }'

4. Search Terms Report

See what users actually searched for (vs. your keywords).

curl -s -X POST \
  "https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
  -H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
  -H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "SELECT search_term_view.search_term, segments.keyword.info.text, segments.keyword.info.match_type, metrics.impressions, metrics.clicks, metrics.ctr, metrics.cost_micros, metrics.conversions FROM search_term_view WHERE segments.date DURING LAST_30_DAYS ORDER BY metrics.impressions DESC LIMIT 100"
  }'

Use this to:

Find new keyword opportunities (high-converting search terms)
Identify negative keyword candidates (irrelevant terms with spend)
Discover match type issues (broad match pulling in junk traffic)

5. Conversion Tracking

curl -s -X POST \
  "https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
  -H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
  -H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "SELECT campaign.name, metrics.conversions, metrics.conversions_value, metrics.cost_micros, metrics.conversions_from_interactions_rate, metrics.value_per_conversion FROM campaign WHERE segments.date DURING LAST_30_DAYS AND campaign.status = ENABLED ORDER BY metrics.conversions DESC"
  }'

ROAS Calculation

# ROAS = conversions_value / (cost_micros / 1_000_000)
curl -s -X POST "..." | python3 -c "
import json, sys
data = json.load(sys.stdin)
print(f\"{'Campaign':<35} {'Cost':>10} {'Conv Value':>12} {'ROAS':>8}\")
for batch in data:
    for row in batch.get('results', []):
        c = row['campaign']['name']
        m = row['metrics']
        cost = int(m.get('costMicros', 0)) / 1_000_000
        value = float(m.get('conversionsValue', 0))
        roas = value / cost if cost > 0 else 0
        print(f\"{c:<35} \${cost:>9.2f} \${value:>11.2f} {roas:>7.2f}x\")
"

6. Daily Spend Trend

curl -s -X POST \
  "https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
  -H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
  -H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "SELECT segments.date, metrics.impressions, metrics.clicks, metrics.cost_micros, metrics.conversions FROM customer WHERE segments.date DURING LAST_30_DAYS ORDER BY segments.date DESC"
  }'

GAQL Date Ranges

Use these built-in date ranges in GAQL:

TODAY, YESTERDAY
LAST_7_DAYS, LAST_14_DAYS, LAST_30_DAYS
THIS_MONTH, LAST_MONTH
THIS_QUARTER, LAST_QUARTER
Custom: segments.date BETWEEN '2024-01-01' AND '2024-03-31'

Workflow: Monthly Google Ads Report

When asked for a full ads report:

Account Overview: Total spend, impressions, clicks, conversions, ROAS
Campaign Performance: All active campaigns ranked by spend
Top Keywords: Top 20 keywords by spend with quality scores
Search Terms: Top search terms and negative keyword candidates
Quality Score Distribution: How many keywords at each QS level
Conversion Analysis: Conversions and ROAS by campaign
Daily Trend: Spend and conversion trend over the period

Report Format

## Google Ads Report: {Account Name}
### Period: {date range}

### Account Summary
| Metric | Value | vs Previous |
|--------|-------|-------------|
| Total Spend | $X | +Y% |
| Impressions | X | +Y% |
| Clicks | X | +Y% |
| CTR | X% | +Y pp |
| Avg CPC | $X | +Y% |
| Conversions | X | +Y% |
| ROAS | Xx | +Y% |

### Campaign Performance
| Campaign | Spend | Clicks | Conv | CPA | ROAS |
|----------|-------|--------|------|-----|------|
| ...      | ...   | ...    | ...  | ... | ...  |

### Top Keywords (by spend)
| Keyword | Match | QS | Spend | Clicks | Conv | CPC |
|---------|-------|-----|-------|--------|------|-----|
| ...     | ...   | ... | ...   | ...    | ...  | ... |

### Recommendations
- **Pause**: Keywords with high spend and zero conversions
- **Increase Bids**: Keywords with high conversion rate but limited budget
- **Negative Keywords**: Search terms wasting budget
- **Quality Score Fixes**: Keywords with QS < 5 and actions to improve
- **Budget Reallocation**: Shift budget from low-ROAS to high-ROAS campaigns

Error Handling

Error	Cause
`AUTHENTICATION_ERROR`	Invalid or expired access token
`AUTHORIZATION_ERROR`	Developer token issue or account access
`REQUEST_ERROR`	GAQL syntax error
`QUOTA_ERROR`	API quota exceeded

Common GAQL Mistakes

Missing WHERE segments.date DURING ... (required for most metric queries)
Using REMOVED status filter incorrectly
Forgetting to handle costMicros division by 1,000,000
Requesting incompatible resource + segment combinations

Tips

Always filter out REMOVED campaigns/ad groups/keywords
Use searchStream instead of search for large result sets (no pagination needed)
Cache results when building multi-section reports
Quality Score of 0 means "not enough data" -- treat as null

npx skills add openclaudia/openclaudia-skills --skill google-ads-report

Documentation

SKILL.md

npx skills add openclaudia/openclaudia-skills --skill google-ads-report

Documentation

SKILL.mdView source

Google Ads Report

Pull campaign, keyword, and conversion data from the Google Ads API.

Prerequisites

Requires:

GOOGLE_CLIENT_ID and GOOGLE_CLIENT_SECRET (OAuth)
GOOGLE_ADS_DEVELOPER_TOKEN (apply at https://ads.google.com/home/tools/manager-accounts/)
GOOGLE_ADS_CUSTOMER_ID (the account ID, format: XXX-XXX-XXXX, passed without dashes)
GOOGLE_ADS_LOGIN_CUSTOMER_ID (if using a manager account, the manager account ID)

Set in .env, .env.local, or ~/.claude/.env.global.

Getting an Access Token

# Same OAuth flow as other Google APIs
# Scope needed: https://www.googleapis.com/auth/adwords
 
echo "https://accounts.google.com/o/oauth2/v2/auth?client_id=${GOOGLE_CLIENT_ID}&redirect_uri=urn:ietf:wg:oauth:2.0:oob&scope=https://www.googleapis.com/auth/adwords&response_type=code&access_type=offline"
 
# Exchange code for tokens
curl -s -X POST "https://oauth2.googleapis.com/token" \
  -d "code={AUTH_CODE}" \
  -d "client_id=${GOOGLE_CLIENT_ID}" \
  -d "client_secret=${GOOGLE_CLIENT_SECRET}" \
  -d "redirect_uri=urn:ietf:wg:oauth:2.0:oob" \
  -d "grant_type=authorization_code"

API Base

Google Ads API uses GAQL (Google Ads Query Language) via REST.

POST https://googleads.googleapis.com/v17/customers/{CUSTOMER_ID}/googleAds:searchStream

Headers:

Authorization: Bearer {ACCESS_TOKEN}
developer-token: {DEVELOPER_TOKEN}
login-customer-id: {LOGIN_CUSTOMER_ID}  # Only if using manager account
Content-Type: application/json

1. Campaign Performance Report

Overview of all campaigns with key metrics.

curl -s -X POST \
  "https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
  -H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
  -H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "SELECT campaign.name, campaign.status, metrics.impressions, metrics.clicks, metrics.ctr, metrics.average_cpc, metrics.cost_micros, metrics.conversions, metrics.cost_per_conversion, metrics.conversions_value FROM campaign WHERE segments.date DURING LAST_30_DAYS AND campaign.status != REMOVED ORDER BY metrics.cost_micros DESC"
  }'

Parsing Campaign Data

curl -s -X POST "..." | python3 -c "
import json, sys
data = json.load(sys.stdin)
print(f\"{'Campaign':<35} {'Status':<10} {'Impr':>8} {'Clicks':>7} {'CTR':>7} {'Avg CPC':>8} {'Cost':>10} {'Conv':>6} {'CPA':>8}\")
print('-' * 110)
for batch in data:
    for row in batch.get('results', []):
        c = row.get('campaign', {})
        m = row.get('metrics', {})
        cost = int(m.get('costMicros', 0)) / 1_000_000
        cpc = int(m.get('averageCpc', 0)) / 1_000_000
        cpa = float(m.get('costPerConversion', 0)) / 1_000_000 if m.get('costPerConversion') else 0
        print(f\"{c.get('name',''):<35} {c.get('status',''):<10} {int(m.get('impressions',0)):>8} {int(m.get('clicks',0)):>7} {float(m.get('ctr',0))*100:>6.2f}% \${cpc:>7.2f} \${cost:>9.2f} {float(m.get('conversions',0)):>6.1f} \${cpa:>7.2f}\")
"

Important: Cost Micros

All cost values in Google Ads API are in micros (1/1,000,000 of the currency unit). Divide by 1,000,000 to get the actual amount.

2. Keyword Performance Report

See how individual keywords perform.

curl -s -X POST \
  "https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
  -H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
  -H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "SELECT ad_group_criterion.keyword.text, ad_group_criterion.keyword.match_type, ad_group_criterion.quality_info.quality_score, metrics.impressions, metrics.clicks, metrics.ctr, metrics.average_cpc, metrics.cost_micros, metrics.conversions, metrics.conversions_value FROM keyword_view WHERE segments.date DURING LAST_30_DAYS AND ad_group_criterion.status != REMOVED ORDER BY metrics.cost_micros DESC LIMIT 50"
  }'

Quality Score Breakdown

curl -s -X POST \
  "https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
  -H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
  -H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "SELECT ad_group_criterion.keyword.text, ad_group_criterion.quality_info.quality_score, ad_group_criterion.quality_info.creative_quality_score, ad_group_criterion.quality_info.post_click_quality_score, ad_group_criterion.quality_info.search_predicted_ctr, metrics.impressions, metrics.average_cpc FROM keyword_view WHERE ad_group_criterion.quality_info.quality_score IS NOT NULL AND segments.date DURING LAST_30_DAYS ORDER BY ad_group_criterion.quality_info.quality_score ASC LIMIT 50"
  }'

Quality Score Components:

quality_score: Overall score (1-10)
creative_quality_score: Ad relevance (BELOW_AVERAGE, AVERAGE, ABOVE_AVERAGE)
post_click_quality_score: Landing page experience
search_predicted_ctr: Expected click-through rate

3. Ad Group Performance

curl -s -X POST \
  "https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
  -H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
  -H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "SELECT campaign.name, ad_group.name, ad_group.status, metrics.impressions, metrics.clicks, metrics.ctr, metrics.average_cpc, metrics.cost_micros, metrics.conversions FROM ad_group WHERE segments.date DURING LAST_30_DAYS AND ad_group.status != REMOVED ORDER BY metrics.cost_micros DESC LIMIT 50"
  }'

4. Search Terms Report

See what users actually searched for (vs. your keywords).

curl -s -X POST \
  "https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
  -H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
  -H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "SELECT search_term_view.search_term, segments.keyword.info.text, segments.keyword.info.match_type, metrics.impressions, metrics.clicks, metrics.ctr, metrics.cost_micros, metrics.conversions FROM search_term_view WHERE segments.date DURING LAST_30_DAYS ORDER BY metrics.impressions DESC LIMIT 100"
  }'

Use this to:

Find new keyword opportunities (high-converting search terms)
Identify negative keyword candidates (irrelevant terms with spend)
Discover match type issues (broad match pulling in junk traffic)

5. Conversion Tracking

curl -s -X POST \
  "https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
  -H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
  -H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "SELECT campaign.name, metrics.conversions, metrics.conversions_value, metrics.cost_micros, metrics.conversions_from_interactions_rate, metrics.value_per_conversion FROM campaign WHERE segments.date DURING LAST_30_DAYS AND campaign.status = ENABLED ORDER BY metrics.conversions DESC"
  }'

ROAS Calculation

# ROAS = conversions_value / (cost_micros / 1_000_000)
curl -s -X POST "..." | python3 -c "
import json, sys
data = json.load(sys.stdin)
print(f\"{'Campaign':<35} {'Cost':>10} {'Conv Value':>12} {'ROAS':>8}\")
for batch in data:
    for row in batch.get('results', []):
        c = row['campaign']['name']
        m = row['metrics']
        cost = int(m.get('costMicros', 0)) / 1_000_000
        value = float(m.get('conversionsValue', 0))
        roas = value / cost if cost > 0 else 0
        print(f\"{c:<35} \${cost:>9.2f} \${value:>11.2f} {roas:>7.2f}x\")
"

6. Daily Spend Trend

curl -s -X POST \
  "https://googleads.googleapis.com/v17/customers/${GOOGLE_ADS_CUSTOMER_ID}:searchStream" \
  -H "Authorization: Bearer ${GADS_ACCESS_TOKEN}" \
  -H "developer-token: ${GOOGLE_ADS_DEVELOPER_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "SELECT segments.date, metrics.impressions, metrics.clicks, metrics.cost_micros, metrics.conversions FROM customer WHERE segments.date DURING LAST_30_DAYS ORDER BY segments.date DESC"
  }'

GAQL Date Ranges

Use these built-in date ranges in GAQL:

TODAY, YESTERDAY
LAST_7_DAYS, LAST_14_DAYS, LAST_30_DAYS
THIS_MONTH, LAST_MONTH
THIS_QUARTER, LAST_QUARTER
Custom: segments.date BETWEEN '2024-01-01' AND '2024-03-31'

Workflow: Monthly Google Ads Report

When asked for a full ads report:

Account Overview: Total spend, impressions, clicks, conversions, ROAS
Campaign Performance: All active campaigns ranked by spend
Top Keywords: Top 20 keywords by spend with quality scores
Search Terms: Top search terms and negative keyword candidates
Quality Score Distribution: How many keywords at each QS level
Conversion Analysis: Conversions and ROAS by campaign
Daily Trend: Spend and conversion trend over the period

Report Format

## Google Ads Report: {Account Name}
### Period: {date range}

### Account Summary
| Metric | Value | vs Previous |
|--------|-------|-------------|
| Total Spend | $X | +Y% |
| Impressions | X | +Y% |
| Clicks | X | +Y% |
| CTR | X% | +Y pp |
| Avg CPC | $X | +Y% |
| Conversions | X | +Y% |
| ROAS | Xx | +Y% |

### Campaign Performance
| Campaign | Spend | Clicks | Conv | CPA | ROAS |
|----------|-------|--------|------|-----|------|
| ...      | ...   | ...    | ...  | ... | ...  |

### Top Keywords (by spend)
| Keyword | Match | QS | Spend | Clicks | Conv | CPC |
|---------|-------|-----|-------|--------|------|-----|
| ...     | ...   | ... | ...   | ...    | ...  | ... |

### Recommendations
- **Pause**: Keywords with high spend and zero conversions
- **Increase Bids**: Keywords with high conversion rate but limited budget
- **Negative Keywords**: Search terms wasting budget
- **Quality Score Fixes**: Keywords with QS < 5 and actions to improve
- **Budget Reallocation**: Shift budget from low-ROAS to high-ROAS campaigns

Error Handling

Error	Cause
`AUTHENTICATION_ERROR`	Invalid or expired access token
`AUTHORIZATION_ERROR`	Developer token issue or account access
`REQUEST_ERROR`	GAQL syntax error
`QUOTA_ERROR`	API quota exceeded

Common GAQL Mistakes

Missing WHERE segments.date DURING ... (required for most metric queries)
Using REMOVED status filter incorrectly
Forgetting to handle costMicros division by 1,000,000
Requesting incompatible resource + segment combinations

Tips

Always filter out REMOVED campaigns/ad groups/keywords
Use searchStream instead of search for large result sets (no pagination needed)
Cache results when building multi-section reports
Quality Score of 0 means "not enough data" -- treat as null