No-code pipeline · Google Analytics GA4 → MySQL

Send data from Google Analytics GA4 to MySQL

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From Google Analytics GA4 to MySQL: managed, scheduled, no code.
Kondado is a data integration platform that replicates Google Analytics GA4 data to MySQL on a configurable schedule, offering 13 distinct pipelines including Channel Performance, E-commerce Revenue, and Events Tracking with 105 fields total, enabling analysts to query marketing data directly in their open-source database.

Send Google Analytics GA4 Data to MySQL Automatically

Sending Google Analytics GA4 data to MySQL allows you to combine user behavior metrics with business data for deeper analysis. Kondado provides a direct integration that replicates your GA4 metrics and dimensions into MySQL without requiring any code. You simply select the pipelines you need from the available 13 data endpoints, configure your update schedule ranging from every 5 minutes to daily, and Kondado handles the automated data transfer while maintaining data consistency.

Once your data arrives in MySQL, you can build custom SQL queries to analyze conversion funnels, join GA4 data with CRM records, or feed business intelligence tools with structured web analytics. This setup empowers both marketing agencies and internal teams to create persistent data warehouses that support complex reporting without relying on sampled data from the GA4 interface.

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

Available Data Pipelines

With the E-commerce Revenue pipeline, you can track daily transaction metrics in MySQL to calculate custom lifetime value models or inventory turnover rates alongside your warehouse data. The Device & Region Performance pipeline brings geographic and device-specific engagement data into your database, allowing you to segment user behavior by location and optimize regional marketing spend using SQL joins with your advertising cost tables. Additionally, the Events Tracking pipeline captures daily user interactions such as button clicks and form submissions, enabling you to build attribution models that connect micro-conversions to macro-revenue goals within your MySQL environment.

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Replicated to MySQL

Google Analytics GA4 data available for MySQL

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

13
available pipelines
105
extractable fields
MySQL
Destination

Available integrations

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.

Try out all the features for free for 14 days

How to send Google Analytics GA4 data to MySQL

Sync data automatically — no code, no manual exports.

1
Connect Google Analytics GA4

Authenticate your Google Analytics GA4 property in Kondado by providing your credentials and selecting the specific GA4 property ID you want to replicate data from.

2
Configure MySQL Destination

Enter your MySQL connection details including host, port, database name, and authentication credentials to establish the destination where your GA4 data will be stored.

3
Select Pipelines and Schedule

Choose from the 13 available pipelines such as E-commerce Revenue or Events Tracking, then set your preferred update frequency from every 5 minutes to daily to automate the data flow.

Try out all the features for free for 14 days

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Send data from Google Analytics GA4 to other destinations

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Frequently Asked Questions (FAQ)

Answers about sending Google Analytics GA4 data to MySQL automatically

How does the Google Analytics GA4 to MySQL replication work?
Kondado connects to your GA4 property using a direct integration and extracts selected metrics and dimensions through available pipelines. The platform then loads this data into your MySQL database on your chosen schedule, handling schema creation and updates automatically as your reporting needs evolve.
What specific Google Analytics GA4 data can I replicate to MySQL?
You can choose from 13 available pipelines covering 105 fields including Channel Performance, E-commerce Revenue, Events Tracking, and Landing Page Analysis. Each pipeline contains specific dimensions like source, medium, device type, and location paired with metrics such as sessions, users, bounce rate, and conversion events.
How often can I update my GA4 data in MySQL?
Kondado offers flexible scheduling options ranging from near-real-time updates every 5 minutes to hourly or daily refreshes. You configure the frequency per pipeline based on your analysis requirements, ensuring your MySQL database reflects the most recent user behavior data without manual intervention.
In what format does Google Analytics GA4 data appear in MySQL?
Data arrives as structured relational tables with clearly defined columns for each dimension and metric from your selected pipelines. Kondado maintains consistent data types and naming conventions, allowing you to immediately run SQL queries, create views, or connect business intelligence tools to your MySQL instance.
Can I combine GA4 data in MySQL with other marketing sources?
Yes, you can replicate data from additional sources such as advertising platforms and CRM systems into the same MySQL database alongside your Google Analytics GA4 information. This enables comprehensive cross-channel analysis by joining web analytics with paid media spend, email campaign metrics, or sales pipeline data using standard SQL joins.
Are there pre-built dashboards available for GA4 data?
Yes, Kondado provides ready-made report templates including the Google Analytics (GA4) Power BI Report and Google Analytics (GA4) Looker Studio Report. These templates connect directly to your replicated data in MySQL or other destinations, offering immediate visualizations of traffic trends, conversion rates, and user engagement metrics without requiring manual report building.
Do I need technical skills to send GA4 data to MySQL?
No coding is required to establish the connection or configure data replication. Kondado's interface guides you through authenticating your GA4 property, selecting pipelines, and setting your MySQL destination, making it accessible for marketing analysts while still providing the technical flexibility that data engineers require for custom schema management.

Try out all the features for free for 14 days

Try out all the features for free for 14 days