SQL for Google Ads Analytics — Examples & 2025 Guide

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SQL for Google Ads Analytics — Examples & 2025 Guide

Google Ads is a cornerstone for digital marketers and businesses seeking measurable results. Understanding the performance of your campaigns depends on effective data analysis. That’s where SQL (Structured Query Language) comes in: it enables you to transform raw Google Ads data into actionable insights, spot trends, and optimize your ad spend. However, crafting complex SQL queries isn't always simple—especially when you must blend multiple data sources or answer nuanced questions.

This is where AI2sql platform shines. AI2sql lets anyone—regardless of technical background—convert natural language questions into production-ready SQL for Google Ads analytics. Save time, reduce errors, and eliminate the technical barriers, making your ad reporting instant, accurate, and enterprise-ready.

Why Use SQL for Google Ads Analytics?

Granular control: Customize queries to specific accounts, campaigns, or time ranges.
Advanced segmentation: Group and filter data for deep performance insights.
Join with business data: Merge Google Ads metrics with sales or CRM records.
Scalable reporting: Automate complex dashboards.

Real-World SQL for Google Ads Analytics: Examples

1. Top Performing Keywords by Clicks

SELECT keyword_text, SUM(clicks) AS total_clicks
FROM google_ads_data
WHERE campaign_status = 'ENABLED'
GROUP BY keyword_text
ORDER BY total_clicks DESC
LIMIT 10;

2. Daily Spend and Conversion Rate

SELECT date, SUM(cost) AS daily_spend, (SUM(conversions)::float / NULLIF(SUM(clicks),0)) AS conversion_rate
FROM google_ads_data
WHERE date BETWEEN '2025-01-01' AND '2025-02-01'
GROUP BY date
ORDER BY date ASC;

3. ROI by Campaign

SELECT campaign_name, SUM(conversions * conversion_value) AS total_value, SUM(cost) AS total_spend,
       (SUM(conversions * conversion_value) - SUM(cost)) / SUM(cost) AS roi
FROM google_ads_data
GROUP BY campaign_name
ORDER BY roi DESC;

Generate SQL for Google Ads analytics instantly with AI2sql — no technical expertise required.

SQL for Google Ads Benchmark Table

Query Scenario	Manual SQL Writing	AI2sql Time
Top Keywords by Clicks	8 mins	< 1 min
Daily Conversion Rate	10 mins	< 1 min
ROI Analysis	12 mins	< 1 min

Best Practices for Google Ads SQL Reporting

Always filter for active campaigns to avoid skewed results.
Use aggregation functions (SUM, AVG) for meaningful metrics.
Combine with other business data for full-funnel analytics.

Get Started with AI2sql and Google Ads Analytics

Leveraging SQL for Google Ads analytics streamlines your workflow, enabling faster and more precise marketing decisions. Platforms like AI2sql make this process effortless—simply describe what you want, and receive instantly generated SQL, trusted by over 50,000+ developers and marketers worldwide. Whether you’re producing enterprise-ready dashboards or quick reports, AI2sql accelerates your analytics journey.