BigQuery Export for GA4, GSC & all relevant data sources

  • More transparency through central raw data from GA4 & GSC
  • Unlimited analysis instead of sampling and UI limits
  • Complete setup, data model, and reporting
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 More data, better decisions 

GA4 & GSC data in BigQuery Data Warehouse

The BigQuery export from GA4 and the Search Console makes all marketing and usage data completely visible – without sampling, without limits, and long-term storable. Instead of fragmented surface data, real raw data is available, freely combinable and detailed analyzable.

This allows for precise analysis of developments, reliable identification of SEO and performance potentials, and clear prioritization of measures. BigQuery thus becomes a stable data foundation for better rankings, stronger campaigns, and higher marketing efficiency.

GA4 BigQuery Export: Complete Analytics Raw Data

A GA4 BigQuery export provides all events as complete raw data. All parameters, e-commerce information, and user interactions are available in a granular manner. This enables analyses that cannot be represented in the GA4 interface: detailed funnel evaluations, real customer journeys, cohort-based comparisons, and attributions that align with your own business models. The basis for informed decisions and clearly measurable conversion optimization.

Search Console in BigQuery: SEO data without row limit

BigQuery makes all SEO data from the Google Search Console visible – regardless of the limitations of the interface. All keywords, URLs, countries, devices, and position data can be fully analyzed and deeply segmented. This results in SEO evaluations that go far beyond the UI: intent clusters, SERP feature developments, content performance by page types, and precise before-and-after comparisons after optimizations. An effective way to identify SEO potentials, to specifically improve rankings and expand visibility in AI responses.

Individual marketing data model in the data warehouse

BigQuery is evolving into the central marketing data hub that goes far beyond GA4 and the Search Console. Upon request, we additionally integrate Google Ads, Microsoft Ads, Meta, affiliate networks, or CRM systems. Rheinwunder creates a structured, unified data model – with clearly defined metrics, dimensions, and identifiers. This results in a consistent reporting across all channels, including usage signals, conversion data, and budget effects. A solid, scalable data architecture that measurably strengthens strategic planning and performance marketing.



 Transforming data into clarity 

BigQuery Export for your entire marketing data world

Whether GA4, Search Console, Ads, CRM, or other sources: BigQuery provides a reliable, scalable data foundation for cross-channel analysis. Ideal for companies that want to manage growth based on data. Contact us for free now.


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 Complete data, clear decisions, and measurable results.  

Why companies use the BigQuery export

A BigQuery export makes marketing and usage data fully visible for the first time – without sampling, without limits, and completely cross-channel. This allows for precise identification of SEO potentials, improvement of conversions, and more efficient budget management. Companies thus gain a scalable data foundation that measurably supports growth.

1

Better SEO rankings

All search queries, positions, and content potentials become fully visible. This allows for the prioritization of topic clusters, informed planning of optimizations, and sustainable improvement of rankings.

2

More conversions & revenue

Through complete funnel and customer journey data, drop-off points, user behavior, and channel-specific effects become clearly visible – ideal for conversion optimization and precise budget allocation.

3

Central data repository instead of data silos

BigQuery consolidates GA4, Search Console, Ads, CRM, and campaign data into one system. This creates a unified reporting for all teams – without conflicting numbers.

4

Future-proof for SEO, performance & AI

With BigQuery, you can also analyze SGE-AI responses, SERP features, and long-term developments. The perfect foundation for modern online marketing strategies and data-driven growth.

5

Reliable KPIs for all teams

BigQuery creates a consistent data foundation for marketing, product, sales, and management. Everyone works with identical KPIs – without differing numbers from different tools.

6

Scalable data architecture with growth potential

Whether new markets, additional data sources, or more complex analyses: BigQuery grows flexibly. Ideal for companies that want to establish their data strategy on a stable foundation in the long term.

 Growth begins with reliable data 

Ready for better data and clearer decisions?

BigQuery unites all marketing and usage data in a central system. For better rankings, higher conversions, and clearly measurable successes.

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Based on 33 reviews
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 Create clarity before the decision is made 

Frequently Asked Questions about BigQuery Export

A BigQuery export raises some central questions – such as implementation, benefits, and practical applications. The following answers provide a compact overview and show how BigQuery can effectively support your marketing and data strategy.

What is a BigQuery export?

A BigQuery export transfers the complete raw data from GA4, the Google Search Console, or other marketing sources into a powerful data warehouse. This allows all data to be analyzed long-term, without limits and fully granular.

Why do I need BigQuery when I already use GA4 and the Search Console?

GA4 and GSC show only a part of the data and are heavily limited (sampling, 1,000-row limit, short history). BigQuery makes all data visible and enables deeper analyses that directly lead to better SEO rankings, higher conversions, and more efficient budgets.

What data sources can be integrated into BigQuery?

In addition to GA4 and the Search Console, Google Ads, Microsoft Ads, Meta, Affiliate Marketing, CRM systems, e-commerce data, and many other sources can be connected.

How does BigQuery improve my SEO results?

Complete keyword data, position trends, intent clusters, and SERP feature analyses reveal SEO potentials that are not visible in the GSC interface. This leads to more precise actions and sustainably better rankings.

How does BigQuery help with conversion optimization?

With complete funnel and journey data, drop-off points can be identified, user behavior analyzed, and budgets managed more efficiently. Decisions are based for the first time on real raw data – not on estimated values.

Is BigQuery also useful for smaller companies?

Yes. BigQuery is flexibly scalable and is suitable for both smaller websites and large data volumes. Even with just a few thousand events per day, BigQuery provides significant added value.

How long does the setup take?

Depending on the number of data sources and the desired data model, usually between a few days and 2–3 weeks.

What does a BigQuery export cost?

The costs depend on the scope, data volume, and desired dashboards. For many companies, BigQuery starts in the low double-digit range per month. We provide transparent and non-binding advice.