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Marketing data warehouse

We bring your ad, analytics and sales data together in one place, so every report draws on the same source and the same definitions.

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  • Looker Studio
  • Google Ads
  • Meta CAPI

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Photo: Andrés Felipe Bedoya Interiano · Unsplash

In short

What is Marketing data warehouse? The answer in one paragraph.

Roicool joins GA4's raw data export, Google Ads, Meta and LinkedIn data, and the CRM's lead, opportunity and sales records in BigQuery, and builds models and shared metric definitions that show the path from campaign to sale in one table. Reports draw on this single source.

Last updated: 21 October 2026View as Markdown

Every month you download data from several platforms and join it by hand to build the report.

Four problems we solve.

  • Every month you download data from several platforms and join it by hand to build the report.

  • Marketing and sales quote different numbers for the same metric.

  • You want to match campaign cost to sales in the CRM.

  • GA4's interface limits (retention period, sampling, thresholds) restrict your analysis.

Scope

What we do

01Data sources
01

Data sources

GA4 BigQuery export, Google Ads export, Meta and LinkedIn data, the CRM (HubSpot, Zoho, Salesforce and others), and sales and ERP data if needed.

Deliverable · Data architecture and
02Modeling
02

Modeling

Cleaning raw data, applying campaign naming rules, matching leads to ad clicks, and shared metric definitions.

Deliverable · Data pipelines and
03Access and security
03

Access and security

Role-based access, hashing or excluding personal data, retention periods.

Deliverable · Reports and documentation
04Reporting
04

Reporting

Looker Studio reporting or the BI tool you prefer.

Deliverable · Maintenance guide

Price: by scope, written in the proposalAsk for a proposal

One conversion, from the site to the report.

In a marketing data warehouse GA4's raw events, the ad accounts' cost and the CRM's revenue are written to one table in BigQuery; a SQL model joins them by channel and day, and the result lands in the Looker Studio report. Tools we use for this: Looker Studio, Google Ads, Meta CAPI, Clarity, Semrush, Zoho CRM, Photoshop.

  1. raw event
  2. cost: added
  3. written to a table
  4. modelled
  5. in the report
  1. GA4

    Example event

    • export: events_*
    • rows: 18,400 / day
    • user_pseudo_id ✓
  2. Ad accounts

    Example event

    • google_ads.cost: 4,200 TRY
    • campaign_id: 19…
    • date: 2026-10-16
  3. BigQuery

    Example event

    • table: mart_channel_daily
    • join: campaign_id + date
    • partition: date
  4. Modelling (SQL)

    Example event

    • ROAS = revenue / cost
    • CRM stage → revenue
    • Meta Ads → cost
  5. CRM

  6. Meta Ads

  7. Looker Studio

Cases

Results, with their method. Three cases from this service.

All case studies
  • Royal Hair case cover: one budget, two different jobs
    • Royal Hair
    • Medical tourism

    Royal Hair: how did we split a $60,000 budget between two different jobs?

    At Royal Hair, Google Ads captures demand that already exists while a multi-stage Meta funnel carries cold audiences toward a booking. A $60,000 monthly budget is balanced between those two jobs, and CAPI keeps conversion data clean at every stage. The published results: 14x average ROI, an 8% conversion rate and an $11 lead cost, which can vary seasonally.

    Read the Royal Hair case

    Published on the project record: the average of the work so far; can vary seasonally · 2 months (ongoing)

    Sector
    Medical tourism
  • EsteMoon Clinic case cover: campaign split, the Google Ads and Meta logos
    • EsteMoon Clinic
    • Medical tourism

    How did we split campaigns in a clinic with a broad service range?

    Read the EsteMoon Clinic case

    Published average from the clinic's public project record · 2 months (ongoing)

    Albania Hair Clinic case cover: Tirana, location advantage and Meta Ads, the Albania Hair Clinic logo
    • Albania Hair Clinic
    • Medical tourism

    How did we turn a Tirana clinic's location into a Meta Ads strategy?

    Read the Albania Hair Clinic case

    Average in the result set published on the clinic's project page; $30,000 monthly budget, Meta-led structure · 5 months (completed)

In the same area

In the same area. Services that work side by side.

This service is part of Analytics consulting

Team and proof

The team that does the work, the result we measured. Our rating and our badges can be checked.

Clutch reviewsClutch
5.0★★★★★8 verified reviews

“Roicool knew what they were doing and were ready to answer our questions with their expertise anytime.”

Sena Miskioğlu, SESTEK Marketing Manager ·
Clutch profile
Team

Strategy, content, development and measurement in one team.

projects
13
cases
9
Semih BayındırSenior Software Engineer & Tech Lead · Owner of this service

Frequently asked questions

  1. What is a marketing data warehouse?

    A setup where ad platform, GA4, CRM and sales data are collected, cleaned and joined in a single database, usually BigQuery. Reports and analysis run from this one source.

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  2. Why BigQuery?

    GA4's raw data export goes to BigQuery, and BigQuery integrates natively with Google's ad and reporting tools. If you use a different data warehouse, we can apply the same approach there.

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  3. Is a data warehouse overkill for a small company?

    With one channel and little data, platform reports may be enough. Once you run several ad channels, have a long sales cycle and need to join CRM data, a data warehouse saves time.

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  4. How do you move the data?

    Through the platforms' native exports (GA4, Google Ads), data pipeline tools or API integrations. The choice depends on the data sources, volume and budget.

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  5. How is personal data protected in the data warehouse?

    Wherever possible, personal data is hashed or not moved at all, access is limited by role and retention periods are defined. The legal assessment is done with your legal counsel.

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Question not here? Write to us

Clutch5.08 reviews (5.0 out of 5) (opens in a new tab)

Let’s start

Let’s find where to start, together.

In a 30-minute intro call we listen to your goals and agree on the right first step.