No-code pipeline · Google Ads → PostgreSQL

Send data from Google Ads to PostgreSQL

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From Google Ads to PostgreSQL: managed, scheduled, no code.

Creating a pipeline that sends data from Google Ads to PostgreSQL databases takes only a few minutes with Kondado. And the whole integration from Google Ads to PostgreSQL is managed and executed by our platform. With Kondado, you can focus on extracting value from Google Ads data and combining it with other data in your PostgreSQL database

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Connect Google Ads to PostgreSQL Automatically

How to send Google Ads data to PostgreSQL? Kondado provides a no-code solution that replicates your advertising metrics to your database on a configurable schedule. Simply authenticate your Google Ads account, configure your PostgreSQL destination, and select from 13 available pipelines containing 147 fields of campaign data. The platform handles the technical complexity of API extraction and schema management, delivering structured data directly to your PostgreSQL instance without requiring engineering resources. Once your data arrives in PostgreSQL, you can combine Google Ads metrics with CRM data, financial records, or other marketing sources to build comprehensive performance dashboards and automate reporting workflows for your agency or marketing team.

Kondado replicates Google Ads data to PostgreSQL automatically on a user-configured schedule, offering 13 pipelines including Campaign Performance Daily, Ad Conversions by Action, and Keyword Performance Daily with 147 total fields available for analysis.

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Available Pipelines and Use Cases

With the Campaign Performance Daily pipeline, you can track impressions, clicks, and cost trends directly in PostgreSQL to optimize budget allocation across client accounts. The Ad Conversions by Action pipeline delivers detailed conversion metrics including campaign ID and total conversion value, enabling you to attribute revenue to specific campaigns and calculate true ROI. Combine these with the Keyword Performance Daily pipeline to analyze search term effectiveness, identify high-performing keywords, and refine bidding strategies using your own SQL queries and business intelligence tools.

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Replicated to PostgreSQL

Google Ads data available for PostgreSQL

Tables Kondado writes into your PostgreSQL, on a schedule you control.

available pipelines

147

extractable fields

PostgreSQL

Destination

Available integrations

Ad Conversions by Action

Analyze detailed conversions with fields such as campaign ID, conversion action name, and total conversion value.

Ad Group Performance Daily

Examine daily performance with metrics such as impressions, clicks, and total cost by ad group.

Ad Performance Daily

Evaluate daily ad performance with metrics such as clicks, impressions, and click-through rate (CTR).

Age Demographics Performance

Analyze performance by age demographics with data on impressions, clicks, and conversions segmented by age.

Campaign Budget Analysis

Study budget allocation with metrics such as total cost and campaign status to optimize spending.

Campaign Conversions by Action

Explore campaign conversions with fields such as campaign ID, conversion action name, and total number of conversions.

Campaign Performance Daily

Analyze daily campaign performance with metrics such as impressions, clicks, cost, and click-through rate (CTR).

Campaign Video Performance

Evaluate video campaign performance with metrics such as views, clicks, and cost per view.

Custom Report

Create custom reports by selecting specific dimensions and metrics such as account ID and performance metrics.

Gender Demographics Performance

Analyze performance by gender demographics with data on impressions, clicks, and conversions segmented by gender.

Geographic Performance

Analyze performance by region with metrics such as impressions, clicks, and cost, along with dimensions like campaign ID and campaign name.

Keyword Performance Daily

Examine daily keyword performance with metrics such as clicks, impressions, and CTR, along with dimensions like campaign ID and ad group ID.

Search Terms Report

Evaluate search terms that generated clicks and conversions, using metrics such as clicks and conversions, and dimensions like campaign name and ad group name.

See all available data → Send Google Ads to PostgreSQL →

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How to send Google Ads data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Google Ads Account

Authenticate your Google Ads account in Kondado by providing your API credentials and selecting the customer IDs you want to replicate data from.

Configure PostgreSQL Destination

Enter your PostgreSQL host, database name, username, and password to establish the destination connection where your advertising data will be stored.

Select Pipelines and Schedule

Choose from the 13 available Google Ads pipelines such as Campaign Performance Daily or Keyword Performance Daily, then set your preferred update frequency from every 5 minutes to daily.

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Send data from Google Ads to other destinations

Google Ads > Looker Studio

Google Ads > Power BI

Other visualizations

Google Ads > Amazon S3

Google Ads > BigQuery

Google Ads > Excel

Google Ads > Google Sheets

Google Ads > MySQL

Google Ads > PostgreSQL

Google Ads > Redshift

Google Ads > SQL Server

Choose a tool to visualize your Google Ads data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Google Ads > Airtable

Google Ads > Alteryx

Google Ads > Amazon Quicksight

Google Ads > BIMachine

Google Ads > Cortex

Google Ads > Data Studio

Google Ads > Geckoboard

Google Ads > Grafana

Google Ads > IBM Cognos Analytics

Google Ads > Klipfolio

Google Ads > Looker Studio

Google Ads > Looker

Google Ads > Looqbox

Google Ads > Metabase

Google Ads > Microstrategy

Google Ads > Pentaho

Google Ads > Power BI

Google Ads > Qlik Cloud Analytics

Google Ads > Qlik Sense

Google Ads > Qlik

Google Ads > QlikView

Google Ads > Redash

Google Ads > Superset

Google Ads > Tableau

Google Ads > BI TOTVS

Google Ads > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Google Ads data to PostgreSQL automatically

How does the Google Ads to PostgreSQL connection work? ▼

Kondado connects directly to the Google Ads API to extract your selected pipelines and load them into your PostgreSQL database. You authenticate your Google Ads account once, configure your PostgreSQL connection parameters, and the platform automatically handles data extraction, transformation, and loading on your chosen schedule. The process requires no coding or technical setup beyond providing your database credentials and selecting which reports to replicate.

What Google Ads metrics and dimensions can I replicate to PostgreSQL? ▼

You can choose from 13 different pipelines containing 147 fields total, including Campaign Performance Daily, Ad Conversions by Action, Keyword Performance Daily, and Geographic Performance. Each pipeline contains specific metrics such as impressions, clicks, conversions, cost per click, and dimensions like campaign ID, ad group name, and device type. You select exactly which pipelines you need during setup, ensuring you only replicate relevant data to your PostgreSQL instance.

How often does Kondado update Google Ads data in PostgreSQL? ▼

Kondado replicates data on a configurable schedule that you control, with options ranging from every 5 minutes to daily updates depending on your business needs. You can set different frequencies for different pipelines, allowing high-priority campaign data to update near-real-time while less critical reports refresh daily. This flexibility ensures your PostgreSQL database always contains current information without overwhelming your API limits or database resources.

Can I combine Google Ads data with other marketing sources in PostgreSQL? ▼

Yes, PostgreSQL serves as a central repository where you can merge Google Ads metrics with data from Google Ads, Meta Ads, Salesforce, or other business systems. By consolidating multiple sources in PostgreSQL, you create unified customer journeys, calculate true acquisition costs across channels, and build cross-platform attribution models using SQL joins and your preferred analytics tools.

What pre-built reports are available for Google Ads data? ▼

Kondado offers several report templates including the Google Ads and Meta Ads Looker Studio Report, Google Ads Power BI Report, and Google Ads Looker Studio Report. These ready-made reports connect directly to your PostgreSQL database, providing immediate visualizations of campaign performance, conversion tracking, and budget analysis without requiring you to build charts from scratch. You can also send data to Power BI or Looker Studio to customize these templates further.

Does Kondado support historical Google Ads data replication? ▼

Yes, when you first connect Google Ads to PostgreSQL, Kondado can backfill historical data based on the lookback period you specify during setup. This allows you to populate your database with months or years of past performance data for trend analysis and year-over-year comparisons. The historical load runs automatically alongside your ongoing scheduled updates to ensure complete data coverage.

How is the data structured when it arrives in PostgreSQL? ▼

Each pipeline creates a separate table in your PostgreSQL database with normalized column names corresponding to Google Ads API fields, properly typed as integers, decimals, timestamps, or strings. Kondado maintains consistent schema structures across updates, adding new columns automatically if Google introduces additional API fields while preserving your existing data. This structured format allows you to write reliable SQL queries and build stable data models for reporting.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days