What specific Google Analytics GA4 data can I extract using Kondado?

You can extract 13 different pipelines covering 105 fields including sessions, users, bounce rates, conversion rates, revenue, transactions, and event counts. Available pipelines include Channel Performance, E-commerce Revenue, Events Tracking, Device Performance, and Geographic Performance with dimensions like source/medium, campaign, device category, and page location.

How do I connect Google Analytics GA4 to Power BI or Looker Studio?

Kondado offers direct connections to Power BI and Looker Studio through automated data replication. Once authenticated via OAuth 2.0, your GA4 metrics flow directly into these visualization tools, enabling you to build custom dashboards or utilize pre-built report templates.

What update frequency options are available for GA4 data replication?

Kondado updates Google Analytics GA4 data on a configurable schedule ranging from every 5 minutes to daily intervals. This flexibility allows you to maintain near-real-time monitoring for high-traffic campaigns or opt for daily summaries for strategic reporting needs.

Can I combine GA4 data with other marketing platforms for cross-channel analysis?

Yes, you can combine GA4 pipelines with other marketing data sources to create unified analytics. Replicate your Google Analytics GA4 data alongside advertising platforms, CRM systems, or e-commerce tools into BigQuery or PostgreSQL for comprehensive cross-channel attribution analysis.

Are there pre-built dashboard templates available for Google Analytics GA4?

Yes, Kondado provides ready-made dashboard templates including the Google Analytics (GA4) Power BI Report and Google Analytics (GA4) Looker Studio Report. These templates offer immediate visualization capabilities for common metrics like traffic acquisition, user engagement, and conversion rates without requiring manual report building.

Which databases support Google Analytics GA4 data replication?

Kondado supports replication to BigQuery , PostgreSQL , MySQL, Redshift, SQL Server, and Amazon S3. For users seeking ga4 big query solutions, automated data replication ensures your event metrics flow directly into Google's data warehouse for advanced SQL analysis and long-term historical storage.

How does the GA4 API data differ from the previous Universal Analytics version?

The Google Analytics GA4 API provides event-based analytics rather than session-based tracking used in Universal Analytics. GA4 focuses on user engagement metrics, cross-platform tracking, and machine learning insights, offering different schema structures that Kondado normalizes into accessible pipelines for your reporting tools.

Can I track specific events and conversions from GA4 using Kondado?

Yes, the Events Tracking pipeline captures specific event counts, unique users, and engagement metrics from your GA4 property. You can monitor custom events, conversions, and user interactions with dimensions including event name and category, enabling detailed analysis of user behavior patterns and funnel progression.

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Connect Google Analytics GA4 Data

Access comprehensive Google Analytics GA4 data including user engagement metrics, traffic acquisition details, e-commerce revenue tracking, and event-based analytics. Replicate data on sessions, bounce rates, conversion rates, and pageviews in GA4 alongside dimensions like source/medium, campaign, device type, and geographic location. Pull daily or monthly performance reports across channels, landing pages, and product categories to analyze campaign effectiveness and user behavior patterns. Track events, monitor device performance across regions, and analyze landing page effectiveness with metrics that reveal user journey touchpoints and conversion pathways.

Kondado provides 13 distinct pipelines with 105 fields to replicate Google Analytics GA4 data automatically on a configurable schedule.

Marketing teams leverage this data to optimize campaign ROI by analyzing channel performance and traffic acquisition trends across organic, paid, and social sources. Data analysts combine GA4 metrics with CRM and advertising data to build comprehensive customer journey reports in Power BI or BigQuery, enabling multi-touch attribution analysis. Operations teams monitor daily e-commerce revenue and product performance to manage inventory levels, while content strategists use page content analysis to optimize user engagement and reduce bounce rates through data-driven improvements.

The Kondado platform takes care of refreshing Google Analytics GA4 data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing Google Analytics GA4 data in your report, spreadsheet, data warehouse, data lake, or database

Ready-to-use and customizable reports for Google Analytics GA4

Power BI

Google Analytics (GA4) Power BI Report

Looker Studio

Google Analytics (GA4) Looker Studio (now Data Studio) Report

The following pipelines deliver specific Google Analytics GA4 analytics capabilities tailored to different business needs. Extract insights from the E-commerce Revenue pipeline to monitor daily transactions and conversion rates, or analyze user engagement through the Events Tracking pipeline which captures event counts and unique user interactions. The Device & Region Performance pipeline reveals how sessions and bounce rates vary across mobile, desktop, and tablet users by location, while Landing Page Analysis helps identify which entry points drive the most conversions. Channel Performance monthly reports enable strategic evaluation of marketing campaigns across organic, paid, and referral sources. Combine Traffic Acquisition Daily data with Page Content Analysis to correlate campaign sources with on-site behavior, or merge Product Performance metrics with Geographic Performance to identify regional buying patterns for specific inventory items. With automated updates ranging from every 5 minutes to daily intervals, your KPIs remain current for timely decision-making without manual data exports.

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Available Google Analytics GA4 data

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 →

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How to visualize Google Analytics GA4 data in 3 steps

Connect Google Analytics GA4 to dashboards, spreadsheets, or databases — no code required.

Connect Google Analytics GA4 via OAuth

Authenticate your Google Analytics GA4 data source using OAuth 2.0 to establish a secure connection between your GA4 property and Kondado.

Select pipelines and destinations

Choose from 13 available pipelines such as E-commerce Revenue or Channel Performance, then send your data to Power BI, Looker Studio, Google Sheets, BigQuery, or PostgreSQL.

Analyze across dashboards, sheets, and databases

Visualize your Google Analytics GA4 data in BI dashboards, explore metrics in spreadsheet applications like Google Sheets or Excel, or query detailed information in database tables within BigQuery, PostgreSQL, MySQL, or Redshift.

Try out all the features for free for 14 days