How does the Google Analytics GA4 to PostgreSQL pipeline work?

Kondado connects to the Google Analytics GA4 API and replicates selected data to your PostgreSQL database automatically. You choose which pipelines to activate from the 13 available options and set the update frequency according to your analytical needs.

What Google Analytics GA4 data can I replicate to PostgreSQL?

There are 13 pipelines with 105 fields available, including metrics such as sessions, users, bounce rate, revenue, and transactions. You can select from geographic performance reports to detailed product and category analyses.

How often does GA4 data update in PostgreSQL?

The schedule is user-configurable, running every 5 minutes, 15 minutes, hourly, or daily depending on your traffic manager or data analyst requirements. This ensures your analyses stay current without overloading the database.

What format does Google Analytics GA4 data arrive in PostgreSQL?

Data arrives in structured SQL format, ready for complex queries, joins with other sources, and custom reporting. Each pipeline becomes a table in your PostgreSQL database.

Can I combine GA4 data with other sources in PostgreSQL?

Yes, once data is in PostgreSQL, you can join GA4 information with CRM data, e-commerce platforms, or other marketing tools. Kondado also allows sending data to Power BI or Looker Studio if you prefer dashboard visualization.

Are there ready-made dashboards available for GA4 data?

Yes, Kondado offers ready-made report templates including the Google Analytics (GA4) Power BI Report and Google Analytics (GA4) Looker Studio Report. You can use these pre-built models to accelerate your analysis or create custom visualizations from your PostgreSQL data.

Do I need technical skills to connect GA4 to PostgreSQL?

No technical expertise is required. Kondado is a no-code platform where marketing managers and data analysts configure the connection in minutes through an intuitive interface, without writing code or managing APIs manually.

Which GA4 pipelines are most popular with marketing teams?

The most popular include Traffic Acquisition Daily for monitoring active campaigns, Channel Performance Monthly for strategic analysis, and Events Tracking Daily for user behavior insights. These pipelines help optimize paid media investments.

Send data from Google Analytics GA4 to PostgreSQL

Get started for free

No credit card required | 14 days | 10 million records | 30 pipelines

or sign up with your email

By signing up, you agree to Kondado’s Terms of service and Privacy policy

Send Google Analytics GA4 Data to PostgreSQL

To send Google Analytics GA4 data to PostgreSQL, use Kondado, a no-code data replication platform that connects directly to your GA4 account and delivers information to your database within minutes. With Kondado, marketing managers and agency analysts can centralize user behavior metrics, sessions, and conversions in a robust, cost-effective SQL environment, enabling advanced analytics without complex API management or internal development resources. The setup is straightforward and requires no deep technical knowledge, allowing your operations team to start working with data quickly to generate valuable insights about digital performance and make informed decisions based on current information. This automated approach eliminates manual data exports and ensures your PostgreSQL database always contains fresh analytics data for comprehensive reporting.

Kondado replicates Google Analytics GA4 data to PostgreSQL automatically on a user-configured schedule, providing 13 pipelines with 105 fields including Channel Performance, E-commerce Revenue, and Landing Page Analysis.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

With Kondado’s available pipelines, you can replicate Channel Performance to analyze monthly traffic by source and medium, identifying which campaigns drive qualified sessions. Use E-commerce Revenue Daily to monitor transactions, total revenue, and conversion rates at the frequency your operation requires. The Landing Page Analysis pipeline allows marketing managers to evaluate specific URL performance, enabling campaign optimization directly in PostgreSQL by joining this valuable data with CRM information or other advertising platforms for a complete funnel view.

Try out all the features for free for 14 days

Google Analytics GA4 data available for PostgreSQL

available pipelines

105

extractable fields

Available integrations

Integration	Description
Channel Performance (Monthly)	Analyze monthly channel performance with metrics such as sessions, users, and bounce rate, along with dimensions like source/medium and campaign.
Custom Report (Core)	Create custom reports by selecting dimensions like date and page, and metrics such as users and sessions for detailed analysis.
Device & Region Performance	Evaluate performance by device and region using metrics like sessions and users, along with dimensions such as device type and location.
Device Performance	Analyze performance across different devices with metrics such as sessions, bounce rate, and average session duration.
E-commerce Revenue (Daily)	Monitor daily e-commerce revenue using metrics such as total revenue, number of transactions, and conversion rate.
Events Tracking (Daily)	Track daily events with metrics such as event count, unique users, and engagement, along with dimensions like event type.
Geographic Performance (Daily)	Analyze daily geographic performance with dimensions such as location and metrics like sessions, users, and bounce rate.
Geographic Performance (Monthly)	Examine monthly geographic performance using metrics like sessions and users, along with dimensions such as location and source.
Landing Page Analysis	Evaluate landing page performance with metrics such as conversion rate and sessions, along with dimensions like page URL and source.
Page Content Analysis	Analyze page content with metrics such as average time on page and sessions, along with dimensions like URL and page title.
Product Category Monthly	Monthly report analyzing revenue, sessions, and users by product category, allowing insights into the performance of each category over time.
Product Performance	Report detailing metrics such as revenue, units sold, and sessions by product, facilitating the analysis of individual item performance.
Traffic Acquisition Daily	Daily report including dimensions such as date, source/medium, and campaign, with metrics of sessions, users, and bounce rate, allowing evaluation of campaign effectiveness.

Channel Performance (Monthly)

Analyze monthly channel performance with metrics such as sessions, users, and bounce rate, along with dimensions like source/medium and campaign.

Custom Report (Core)

Create custom reports by selecting dimensions like date and page, and metrics such as users and sessions for detailed analysis.

Device & Region Performance

Evaluate performance by device and region using metrics like sessions and users, along with dimensions such as device type and location.

Device Performance

Analyze performance across different devices with metrics such as sessions, bounce rate, and average session duration.

E-commerce Revenue (Daily)

Monitor daily e-commerce revenue using metrics such as total revenue, number of transactions, and conversion rate.

Events Tracking (Daily)

Track daily events with metrics such as event count, unique users, and engagement, along with dimensions like event type.

Geographic Performance (Daily)

Analyze daily geographic performance with dimensions such as location and metrics like sessions, users, and bounce rate.

Geographic Performance (Monthly)

Examine monthly geographic performance using metrics like sessions and users, along with dimensions such as location and source.

Landing Page Analysis

Evaluate landing page performance with metrics such as conversion rate and sessions, along with dimensions like page URL and source.

Page Content Analysis

Analyze page content with metrics such as average time on page and sessions, along with dimensions like URL and page title.

Product Category Monthly

Monthly report analyzing revenue, sessions, and users by product category, allowing insights into the performance of each category over time.

Product Performance

Report detailing metrics such as revenue, units sold, and sessions by product, facilitating the analysis of individual item performance.

Traffic Acquisition Daily

Daily report including dimensions such as date, source/medium, and campaign, with metrics of sessions, users, and bounce rate, allowing evaluation of campaign effectiveness.

See all available data →

Try out all the features for free for 14 days