Data Services · Google Cloud Partner
Every system you run on, in one warehouse you own.
We build your marketing data warehouse in BigQuery, inside a Google Cloud project in your name. Your CRM, calls, forms, ads, and operations software land in one place, refreshed as often as hourly.
Listed in Google Cloud Partner Finder
Sixth Media is listed in Google Cloud Partner Finder. We build warehouses on Google Cloud inside each Partner's own project, and the same team runs the ad accounts those warehouses measure.
When You Need One
Signs you've outgrown your tools' reports.
A warehouse is worth it when your questions cross more systems than any one tool can see. Until then, better tracking and integrations usually go further.
Why Google Cloud
The warehouse that sits closest to your ad spend.
Most of the money our Partners spend on ads goes through Google. Building on Google's own cloud keeps the data, the reporting, and the conversions that train bidding in one place.
It speaks Google's ad stack natively
Google Ads, GA4, and Search Console land in BigQuery through Google's own transfers and exports, and conversions go back to Google Ads from the same project. Fewer hops means fewer places for numbers to drift.
It grows with you
BigQuery handles a few million rows and a few billion the same way. Nobody has to migrate your history when the business gets bigger.
It costs little at marketing scale
You pay for what you store and what you query. For marketing data that is usually a small line next to ad spend, and the bill lands in your own account.
Four Layers
Raw in, trusted numbers out.
Every warehouse we build has the same four layers. Each one has a single job, which is what makes the whole thing easy to fix when something upstream changes.
Append-only
Raw
Exactly what each system sent, with the time it arrived. Nothing is overwritten, so when a source changes or a bug turns up, any table can be rebuilt from here.
Cleaned
Staging
Typed, deduplicated, and renamed so a lead, a call, and a deal mean the same thing in every source. Time zones are settled here once.
Joined
Model
One person is one person across forms, calls, and the CRM. Tables are built around the questions the business actually asks.
Trusted
Reporting
The tables dashboards and conversion uploads read from. One definition of a lead, a sale, and revenue, reconciled against the CRM.
The Stack
What we use, and what each piece does.
A small set of managed Google Cloud services. No servers to patch, and nothing that needs a full-time engineer on your side.
- BigQueryThe warehouse. Raw, staging, model, and reporting layers all live here.
- Cloud Run jobsScheduled syncs from CRMs, call tracking, and operations systems that have an API.
- Data Transfer ServiceGoogle Ads and other Google sources, landed on Google's own schedule.
- Scheduled queriesModel rebuilds that run after the raw data they depend on has landed.
- Cloud SchedulerRuns every job on time, in the right order.
- Secret ManagerHolds every API key and token. Nothing sensitive lives in code.
Reliability
A report you can't trust is worse than no report.
Pipelines fail. Sources go late, APIs change, and someone edits a CRM stage. We build so those failures are loud and early.
Runs in order
Rebuilds are scheduled after the raw data they read from, with room for daylight saving shifts, so a report never runs before its data lands.
Stops on bad data
A freshness check confirms raw data arrived complete before each rebuild. A late or partial load fails the run instead of quietly producing a wrong report.
Tested like software
SQL tests check row counts, keys, and totals on every model. When a source changes shape, a test catches it before a person does.
How We Run It
Fresh, cheap, and yours.
- Freshest CRM and ad syncs, when the business needs them
- HourlyFreshest CRM and ad syncs, when the business needs them
- Typical time from a source update to a refreshed report
- MinutesTypical time from a source update to a refreshed report
- What a live report usually costs per month in BigQuery
- DollarsWhat a live report usually costs per month in BigQuery
- Of what we build: data, pipelines, and history, live in your project
- 100%Of what we build: data, pipelines, and history, live in your project
You Own It
Your data never lives in our account.
An agency that holds your data holds your history hostage. We set it up the other way around from day one.
Your project, your billing
We build in a Google Cloud project in your name, on your billing account. The data, the pipelines, and the history are yours from the first row.
The least access the work needs
Service accounts get narrow roles inside one project. Credentials live in Secret Manager, and we never ask for the keys to your whole organization.
Your project keeps the warehouse
The warehouse, the pipelines, and the history live in your project today, and they keep running the day we leave. We close out our own access and hand over documentation of what's there.
Frequently asked questions
Questions about the warehouse.
What we connect, ownership, access, cost, and what happens to your data if we part ways.
Why Google Cloud?
What does being a Google Cloud Partner mean for us?
What does it cost to run?
How fresh is the data?
Do you need access to our whole Google Cloud organization?
Do we need a data team to use it?
What happens if we stop working together?
Your Next Step
See what a warehouse in your account would look like.
In a free 30-minute Insight Session, we’ll get to know your business, where you want to take it, and the challenges you’re working through. We’ll talk through your tools, your questions, and what success looks like to you, so you leave with a clear picture of the right next step.





