Each phase works on its own, or as part of the full path.
Data from ten disconnected tools, brought together in one place.
Datawarehouse · Marketing data collection in BigQuery
Marketing data is born scattered: a piece in the ads platform, a piece in the CRM, a piece in the site. We bring it all into a single infrastructure, so it stops telling different versions of the same story.
It's an investment that outlasts any single tool: when you switch ad platform or CRM, your data foundation stays intact.
How we do it
- 01We bring every source into BigQuery: GA4, Google Ads, Meta, CRM and the rest.
- 02We use native connectors where they exist: fewer moving parts, fewer things that break.
- 03We build dedicated pipelines only where no connector exists.
- 04We reconcile: what shows up at the source has to match downstream, otherwise there's a problem to find now, not later.
The tools we use
Frequently asked questions
Why BigQuery specifically, not another tool?
It's the standard for marketing data infrastructure, with native connectors for GA4, Google Ads and many other tools: fewer custom-built pieces, fewer things that break over time.
Do we need an in-house IT team to manage it?
No, we handle that. You do need someone on your side who knows the business, not necessarily a technical person.
If we switch ad platform or CRM in a year, do we lose everything?
No, that's the whole point: your data foundation stays intact even when you switch tools. It's an investment that outlasts any single tool.
How do you make sure the numbers in the warehouse match the source?
We reconcile: what shows up at the source has to match downstream. If it doesn't, that's a problem to find and fix now, not discover months later.
Let's talk about your project.
No endless quotes. One call, a clear path, a written proposal.
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