+38 063 301 7165

BigQuery

A serverless cloud data warehouse from Google Cloud queried with SQL. We choose it when reports inside each service no longer answer business questions.

WHY WE CHOOSE THIS

GA4 and ad account interfaces show aggregated, limited data. Raw data in a warehouse gives the full history of every customer, from the first click to a repeat purchase.

WHEN WE CHOOSE THIS TECHNOLOGY
TRIGGER 1

GA4 reports are no longer enough

You need custom breakdowns, long history or exact data without sampling and interface limits.

TRIGGER 2

Data is scattered across systems

The website, ads, CRM and accounting live separately, and without a shared warehouse they cannot be matched.

TRIGGER 3

You measure LTV and cohorts

The business earns on repeat purchases, so channel payback has to be judged over a long horizon.

HOW WE APPLY IT
01

GA4 data export

A daily export of website events to analyze behavior at the level of individual sessions.

02

End-to-end analytics

Combining ad spend, website events and CRM deals in the same tables.

03

Cohort analysis and LTV

SQL models of repeat purchases and customer retention by acquisition source.

04

A source for dashboards

Prepared data marts for Looker Studio or Power BI so reports run fast.

SERVICES FOR THIS TECHNOLOGY
Digital Marketing ConsultingCROMarketing Strategy
CASE FOR THIS TECHNOLOGYAll cases
80CV (Conversions)
10,3KClicks
24K UAHAd Spend

Let’s discuss the project in person

Start with clarity, not spending

Book a Clarity Session—a 30-minute review of your marketing. You will receive a map of bottlenecks and a clear understanding of the next steps.

BigQuery
FOUNDERVasyl Horaichuk

Clarity first. Then — managed and systematic growth.

  • BUSINESS STRATEGY
  • SYSTEMATIC SCALING
  • DIGITAL TRANSFORMATION
REVIEWS

Are clients satisfied?

All reviews

GVSPACE helped us build a consistent presence for EdPlit Polska on social media. The team took responsibility for managing our Instagram, creating content, and developing the account. I especially appreciate their responsibility, independence in their work, and understanding of the specifics of our business. I am satisfied with the results of our cooperation and can recommend the team as a reliable partner.

BigQueryMykola SmykovskyCEO / EdPlit Polska

GVSPACE brought a fresh, creative approach to GARANT’s brand communication, turning a simple message about value into an engaging advertising campaign.

BigQueryOleksii DybkoCEO / Garant Money
TECHNOLOGY FOUNDATION

Other technologies in our stack

Frequently asked questions

and answers to them

Ask a question
How much does BigQuery cost?+

It depends on data and query volume. You pay for storage and processing, and for small projects the costs often fit within the free tier. We design tables and queries so you do not pay for unnecessary data scanning.

Do we need BigQuery if we have GA4?+

It depends on the questions you want answered. The GA4 interface is enough for basic reports. BigQuery is needed when you have to combine website data with the CRM, keep a long history or run your own attribution models.

Why BigQuery and not a regular database?+

BigQuery needs no administration, scales automatically and has a native GA4 export and integrations with Google services. For marketing analytics it is a faster and cheaper start than your own server.

Who will work with the data after implementation?+

Your team works with dashboards, not SQL. We set up the warehouse, data marts and data refreshes, and document the metric logic.

Budget decisions should be made on complete data, not on a sample.

At GVSPACE, BigQuery is the foundation of end-to-end analytics. We set up the GA4 export, load spend from ad accounts and data from the CRM, and build SQL models and data marts for reporting. That way the owner sees not clicks and sessions but the customer's path to purchase and the real payback of each channel. We design the warehouse with query costs under control and build dashboards on top of it in Looker Studio or Power BI.